System

Abstract

A system is provided.SOLUTION: A system comprising: means for acquiring an image of a user; means for generating a three dimensional model of the user based on the acquired image; means for simulating a plurality of hairstyles for the generated three dimensional model using generative artificial intelligence; means for simulating a plurality of hair colors for the simulated hairstyles; and means for displaying a simulation result.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] When changing hairstyles or hair colors, it takes time to revert to the original style once treatment is completed, and there are significant risks involved in trying a new style, which makes many people hesitant to try a new hairstyle or hair color. As a result, hairdressers and beauticians lack the tools to suggest new styles while ensuring customer satisfaction. Customers themselves also face the challenge of finding out in advance which hairstyles and hair colors suit them best, making it difficult to achieve the results they desire. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means. The present invention is configured as a system including a means for acquiring an image of a user, a means for generating a three-dimensional model of the user based on the acquired image, a means for simulating multiple hairstyles for the generated three-dimensional model using generative artificial intelligence, a means for simulating multiple hair colors for the simulated hairstyle, and a means for displaying the simulation results. This system allows a user to digitally preview a new hairstyle and hair color before actually cutting or coloring their hair, thereby reducing the risk of failure and improving the accuracy of the treatment by a hairdresser or hairstylist. Furthermore, by further including a means for the user to select a simulated hairstyle and hair color, user satisfaction can be increased.

[0006] "User" refers to the person who performs the hairstyle and hair color simulation.

[0007] "Image" refers to a still image taken by a camera device such as a smartphone or tablet.

[0008] "Three-dimensional model" refers to a three-dimensional digital model of the user's face and head that is generated based on multiple acquired image data.

[0009] "Generative AI" refers to an AI technology that has the ability to generate various output results from input data.

[0010] "Hairstyle" refers to the visual appearance of hair in terms of length, shape and style.

[0011] "Hair color" refers to the visual characteristics of hair color.

[0012] "Simulation" refers to the process of using generative artificial intelligence to change the hairstyle and hair color of a generated three-dimensional model and then displaying the results digitally.

[0013] "Display" refers to visually presenting the simulation results to the user.

[0014] "System" refers to a comprehensive collection of devices and software that includes an image acquisition means, a three-dimensional model generation means, a hairstyle and hair color simulation means using generative artificial intelligence, and a display means.

[0015] "Selection" refers to the act of the user determining and deciding on a desired hairstyle and hair color from the simulation results. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0038] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, and these images are used for further processing.

[0039] The device then processes the captured image and generates a 3D model of the user, which is automatically generated from the image data using specialized software. The 3D model contains detailed, three-dimensional details of the user's face and head, and is used in subsequent simulations.

[0040] The generated 3D model is sent to a server. The server uses generative artificial intelligence to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0041] The results of the simulation are displayed on the device for the user to review. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0042] For example, a user takes a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle simulation is then performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0043] This invention allows users to try new hairstyles and hair colors without risk, and allows hairdressers and beauticians to perform their work more accurately. Furthermore, by introducing this technology to beauty salons and barbershops across the country, it will be possible to easily propose new styles to many customers.

[0044] The processing flow will be explained below.

[0045] Step 1:

[0046] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0047] Step 2:

[0048] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0049] Step 3:

[0050] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0051] Step 4:

[0052] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0053] Step 5:

[0054] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0055] Step 6:

[0056] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0057] Step 7:

[0058] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0059] Step 8:

[0060] The user can check the displayed simulation results and select the hairstyle and hair color that best suits them. This selection information is shared with the hairdresser or hairdresser as needed, and is reflected in the actual treatment.

[0061] Example 1

[0062] 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."

[0063] In traditional beauty salons and barber shops, when trying out a new hairstyle or hair color, customers had to actually cut or dye their hair, which increased the risk of failure. Furthermore, customers had limited means of checking in advance which style would best suit them. This often resulted in wasted time and money. Conventional technology had limited accuracy in simulating hairstyles and hair colors, and the results often differed from the actual results. New technology is needed to solve these issues.

[0064] 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.

[0065] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles and hair colors for the generated three-dimensional model using generative artificial intelligence, means for using a prompt sentence as input, means for displaying the simulation results, and means for allowing the user to select a hairstyle and hair color. This allows the user to digitally preview new hairstyles and hair colors in advance and select the style that best suits them without any risk.

[0066] A "user" is a person who uses the system to simulate a new hairstyle or hair color.

[0067] The "means for acquiring an image" is a process for acquiring an image of the user's face and head using a photographing device such as a camera.

[0068] A "three-dimensional model" is a three-dimensional digital model of a user's face and head that is generated based on multiple captured images.

[0069] "Generative artificial intelligence" is an AI technology that has the ability to generate specific conditions and designs based on input prompts.

[0070] "Means for simulating" refers to the process of applying a specific hairstyle and hair color to a three-dimensional model and visually generating the results.

[0071] A "prompt" is a piece of text that describes instructions for applying a specific hairstyle or hair color to a generative artificial intelligence.

[0072] "Simulation results" are images and data generated after generative artificial intelligence applies hairstyles and hair colors to three-dimensional models.

[0073] The "display means" refers to a display device or interface for visually presenting the simulation results to the user.

[0074] "Selective means" refers to interactive functions or systems that allow users to select the style that best suits them from multiple simulation results.

[0075] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0076] First, the user takes multiple images of their face and head using the camera on their smartphone or tablet. The user needs to take multiple images from various angles, such as the front, left and right sides, and the back of the head.

[0077] The device then sends the captured image to a server, where it is compressed in JPEG format and transmitted using a secure protocol (e.g., HTTPS), ensuring privacy and data security.

[0078] The server analyzes the received image data and automatically generates a three-dimensional model of the user's face and head using 3D modeling software (e.g., Blender). This three-dimensional model contains a detailed, three-dimensional structure of the user's face and head.

[0079] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompt statements as input and applies hairstyles and hair colors according to the instructions. For example, it uses specific prompt statements such as "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0080] For example, a user can take a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0081] Specific examples of hardware and software used

[0082] Hardware: smartphones, tablets, servers

[0083] Software: 3D modeling software (e.g., Blender), generative artificial intelligence (e.g., OpenAI DALL-E)

[0084] Users launch a dedicated app on their smartphone or tablet and take pictures following the instructions within the app. The images taken by the user are sent to a server, which analyzes them and generates a 3D model. The generated 3D model is then simulated with various hairstyles and hair colors using generative artificial intelligence, and the results are displayed on the device.

[0085] In this way, the present invention is a system that allows users to digitally preview new hairstyles and hair colors in advance and select the most suitable style. This significantly reduces the risk of users actually changing their style. It also allows hairdressers and barbers to work more accurately.

[0086] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0087] Step 1:

[0088] The user uses the camera on their smartphone or tablet to take multiple images of their face and head. Specifically, the user launches the application and follows the on-screen guide to take photos from various angles, including the front, left and right sides, and the back of the head.

[0089] Input: Multiple images of the user's face and head.

[0090] Output: Captured image data.

[0091] Step 2:

[0092] The device sends the captured image data to the server, where it is compressed in JPEG format and sent using a secure protocol (e.g., HTTPS).

[0093] Input: Captured image data.

[0094] Output: Compressed image data sent to the server.

[0095] Step 3:

[0096] The server analyzes the received image data and generates a three-dimensional model of the user's face and head. This process utilizes the API of 3D modeling software (e.g., Blender). The software runs algorithms to generate a three-dimensional digital model from multiple images.

[0097] Input: Compressed image data sent to the server.

[0098] Output: A 3D model of the user's face and head.

[0099] Step 4:

[0100] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompts as input and applies the hairstyle and hair color according to the instructions.

[0101] An example of a specific prompt might be: "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0102] Input: 3D model, prompt statement.

[0103] Output: Images of the simulated results with each hairstyle and hair color applied.

[0104] Step 5:

[0105] The server generates multiple simulation results and creates high-resolution images of each hairstyle and hair color. The generated images include multiple viewpoints to provide views from each angle.

[0106] Input: Images of the simulated results with each hairstyle and hair color applied.

[0107] Output: High resolution simulation result images.

[0108] Step 6:

[0109] The server sends the generated simulation results to the device, where the data is again compressed and transmitted over a secure protocol.

[0110] Input: High-resolution simulation result images.

[0111] Output: Compressed simulation result image sent to the terminal.

[0112] Step 7:

[0113] The device displays the received simulation results. The user can interactively check the style that best suits them from multiple hairstyles and hair colors on the device display. The device uses a touchscreen interface to allow the user to zoom in and out and rotate each style.

[0114] Input: Compressed simulation result image sent to the terminal.

[0115] Output: Simulation results displayed on the device display.

[0116] Step 8:

[0117] The user selects the hairstyle and hair color that they like best, and the information about the selected style is sent to the server and stored if desired.

[0118] Input: Simulation results displayed on the terminal display.

[0119] Output: User selected hairstyle and hair color information.

[0120] (Application example 1)

[0121] 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."

[0122] At traditional beauty salons and barber shops, when customers try out a new hairstyle or hair color, they run the risk of the finished result not meeting their expectations. Furthermore, there are limited ways to preview the new style, making it difficult to improve customer satisfaction. With conventional technology, customers are unable to preview the results of a simulation of their new hairstyle or hair color beforehand, making it difficult to improve the quality of beauty services.

[0123] 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.

[0124] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating a plurality of hair colors for the simulated hairstyle, and means for allowing the user to select an optimal hairstyle and hair color in order to apply the simulation results to beauty services in a physical store. This allows users to digitally check a new style in advance before trying it, significantly reducing the risks of treatments at beauty salons and barber shops and improving customer satisfaction.

[0125] "User" refers to an individual who uses this system to simulate their own hairstyle and hair color.

[0126] "Means for capturing images" refers to the process or device that captures an image of the user's face and head using a smartphone or tablet camera.

[0127] "Means for generating a three-dimensional model" refers to software or algorithms for generating a three-dimensional (3D) model of a user's face or head based on the acquired 2D image.

[0128] "Generative artificial intelligence" refers to AI technology used to simulate multiple hairstyles for a 3D model of a user.

[0129] "Hairstyle simulation means" refers to the process or software that uses generative artificial intelligence to apply various hairstyles to a 3D model of a user and generate the results.

[0130] "Hair color simulation means" refers to a process or software that applies multiple hair colors to a simulated hairstyle and generates the result.

[0131] "Means for displaying simulation results" refers to a process or device that displays the simulated hairstyle and hair color results on a smartphone or tablet display.

[0132] "Applying to beauty services in brick-and-mortar stores" refers to allowing users to check simulation results and select the most suitable style before undergoing beauty treatments provided at physical locations such as beauty salons and barber shops.

[0133] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0134] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, which are then used for further processing. The images are then processed on the device to generate a 3D model. This is done using image processing software such as OpenCV.

[0135] The device then processes the captured images and generates a 3D model of the user. This 3D model is automatically generated from the image data using specialized software and algorithms (e.g., a 3D modeling library). The 3D model contains detailed, three-dimensional structures of the user's face and head, and is used for subsequent simulations.

[0136] The generated 3D model is sent to a server. The server uses generative artificial intelligence (AI) to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0137] The results of the simulation are displayed on the device's display for the user to check. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0138] As a concrete example, a user visits a hair salon and launches the application. An image is taken with a camera and a three-dimensional model is generated. A bob hairstyle simulation is performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device display, and the user can select the hairstyle and hair color that they like best.

[0139] Example prompt sentence:

[0140] Now we will start simulating a new hairstyle. Take multiple images of your face and head to generate a 3D model. Then apply the prepared hairstyle and hair color and check the preview.

[0141] This invention allows customers to try new hairstyles and hair colors without risk, and allows hairdressers and barbers to perform treatments more accurately. Furthermore, by introducing this technology to hairdressers and barbers nationwide, it will be possible to easily propose new styles to many customers.

[0142] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0143] Step 1:

[0144] Users take images of their face and head using the camera on their smartphone or tablet.

[0145] Input: A still image of the user's face and head

[0146] Output: Multiple captured image data

[0147] Specific operation: The user launches the application and follows the instructions to take multiple images from different angles.

[0148] Step 2:

[0149] The device processes multiple images taken and creates a 3D model of the user using image processing software and 3D modeling libraries such as OpenCV.

[0150] Input: Multiple image data

[0151] Output: 3D model of the user

[0152] Specific operation: An image processing algorithm is executed within the device, and a three-dimensional model is automatically generated based on the captured image.

[0153] Step 3:

[0154] The generated three-dimensional model is sent to the server.

[0155] Input: 3D model of the user

[0156] Output: 3D model data sent to the server

[0157] Specific operation: The terminal sends the generated 3D model to the server via network communication.

[0158] Step 4:

[0159] The server uses generative artificial intelligence (AI) to simulate various hairstyles on a three-dimensional model of the user.

[0160] Input: 3D model data

[0161] Output: Simulation results for each hairstyle and hair color

[0162] What it does: The server runs the AI ​​model and performs simulations with multiple hairstyles (e.g., bob, pixie, curly) and hair colors.

[0163] Step 5:

[0164] The simulation results are sent to the terminal and displayed on the screen.

[0165] Input: Simulation result data

[0166] Output: Preview images of each hairstyle and hair color displayed on a smartphone or tablet screen

[0167] Specific operation: The application receives simulation data from the server and displays it visually.

[0168] Step 6:

[0169] The user selects the style that best suits them from the displayed multiple hairstyles and hair colors.

[0170] Input: Simulation results of multiple hairstyles and hair colors

[0171] Output: Information on the best hairstyle and hair color selected

[0172] Specific operation: The user selects the desired hairstyle and hair color using the on-screen selection interface and presses the confirm button.

[0173] These are the specific processing steps of this system, which allows users to digitally check their new hairstyle or hair color in advance, reducing risk before going to a beauty salon or barber shop for a treatment.

[0174] 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.

[0175] The present invention relates to a system that allows users to digitally preview new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration. Specific embodiments for carrying out the present invention will be described below.

[0176] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken and the image data is saved on the device.

[0177] The device then receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0178] The generated 3D model is sent to a server, which then uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. For example, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0179] Next, the server further uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, blonde, brunette, red, etc., and generates different hair color variations for all hairstyles.

[0180] The simulation results are sent to the device, which then displays the simulated combinations of multiple hairstyles and hair colors on the screen. At this time, the emotion engine works to recognize the user's emotions from their facial expressions and tone of voice, and evaluates how the user feels about the simulation results.

[0181] The device sends the information to the server based on the emotion data recognized by the emotion engine. The server analyzes the emotion engine data and suggests options that will satisfy the user. These suggestions are then sent back to the device, where the optimal hairstyle and hair color are displayed.

[0182] For example, a user takes a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a favorable sentiment toward a particular hairstyle or hair color, suggestions are made based on that information.

[0183] This invention allows users to try new hairstyles and hair colors without risk, and emotional suggestions allow for more satisfying choices. It also allows hairdressers and beauticians to perform their hair treatments more accurately. By introducing this invention to beauty salons and barbershops across the country, it will be possible to easily suggest new styles to many customers.

[0184] The processing flow will be explained below.

[0185] Step 1:

[0186] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0187] Step 2:

[0188] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0189] Step 3:

[0190] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0191] Step 4:

[0192] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0193] Step 5:

[0194] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0195] Step 6:

[0196] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0197] Step 7:

[0198] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0199] Step 8:

[0200] The device uses an emotion engine to analyze the user's facial expressions and tone of voice in response to the displayed simulation results, and evaluates how the user feels about each simulation. This emotion data is acquired in real time.

[0201] Step 9:

[0202] The terminal transmits the acquired emotion data to the server. The emotion data includes the positive and negative emotions expressed by the user regarding the simulation results.

[0203] Step 10:

[0204] The server analyzes the received emotional data, identifies the hairstyle and hair color simulation to which the user responded most favorably, and generates data for proposing the hairstyle and hair color that are considered to be optimal based on the results.

[0205] Step 11:

[0206] The server sends to the terminal data proposing the optimal hairstyle and hair color based on the analysis results.

[0207] Step 12:

[0208] The device will then display the simulation results based on the proposed data, allowing the user to confirm and decide on the final selection. This process allows the user to select the optimal style that reflects the emotional data.

[0209] This allows users to try new hairstyles and hair colors without any risk, and emotional suggestions help them make more satisfying choices.

[0210] Example 2

[0211] 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."

[0212] Conventional hairstyle and hair color simulation systems allow users to digitally preview their hairstyle or hair color before actually changing it, but often do not provide appropriate suggestions that take the user's emotions into consideration. As a result, users may be dissatisfied with the simulation results and regret changing their hairstyle or hair color. The present invention aims to solve these problems and provide suggestions for hairstyles and hair colors that users will be emotionally satisfied with.

[0213] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring an image of the user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating multiple hair colors for the simulated hairstyle, means for displaying the simulation results and analyzing the user's emotions, and means for suggesting an optimal hairstyle and hair color combination based on the user's emotional data. This allows the user to check detailed simulation results before changing their hairstyle or hair color, and further receive optimal suggestions based on their own emotions.

[0214] "Means for acquiring an image of the user" refers to a device or software that allows the user to take an image of their face or head and provide that data to the system.

[0215] The "means for generating a three-dimensional model of the user based on the acquired images" is software for creating a three-dimensional digital model of the user from multiple two-dimensional images taken by a camera.

[0216] "Means for simulating multiple hairstyles for a generated three-dimensional model using generative artificial intelligence" is a function that utilizes generative artificial intelligence to virtually apply various hairstyles to a generated three-dimensional model and display the results.

[0217] The "means for simulating multiple hair colors for a simulated hairstyle" is a function that sequentially applies different hair colors to a hairstyle simulated by generative artificial intelligence and displays the results.

[0218] The "means for displaying simulation results and analyzing the user's emotions" refers to emotion recognition software that displays the simulation results on a display and analyzes the user's facial expressions, voice, etc.

[0219] The "means for proposing the optimal hairstyle and hair color combination based on the user's emotional data" is a function in which the system analyzes the acquired emotional data of the user and automatically suggests the hairstyle and hair color combination that the user will be most satisfied with.

[0220] The present invention is a system that allows users to digitally check new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration.

[0221] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Typically, multiple images are taken from multiple angles, and the image data is saved on the device. This is typically done using a camera app on the smartphone or tablet.

[0222] The device then uses the stored image data to generate a 3D model of the user using 3D modeling software (e.g., Blender or 3D scanner software). This 3D model is a three-dimensional digital model of the user's face and head, automatically constructed from multiple captured images.

[0223] The generated 3D model is sent to a server, which then uses a generative AI model (e.g., a deep learning-based GAN - Generative Adversarial Network) to simulate multiple hairstyles based on the received 3D model. Specifically, hairstyles such as bob, pixie, and curly are sequentially applied to the 3D model.

[0224] The server then uses the generative AI model to simulate multiple hair colors for each simulated hairstyle, for example, blonde, brunette, red, etc., and generates different hair color variations for every hairstyle.

[0225] The simulation results are compressed and sent to the device. The device then decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. At this time, an emotion engine (e.g., facial expression recognition software or voice recognition software) is activated to analyze emotions from the user's facial expressions and tone of voice. Emotional data is acquired in real time.

[0226] The device sends the acquired emotional data to the server, which analyzes the emotional data and identifies the hairstyle and hair color combination that the user is most satisfied with. This identified suggestion is then sent back to the device, and the optimal hairstyle and hair color are displayed on the screen.

[0227] For example, a user takes photos of their face and head from multiple angles using their smartphone camera, and the saved images are processed using 3D modeling software to generate a three-dimensional model. The server then uses the generated AI model to simulate bob, pixie, and curly hairstyles, and also applies blonde, brunette, and red hair colors. The simulation results are displayed on the device, and an emotion engine analyzes the user's facial expressions and voice. Finally, optimal suggestions are made based on the user's emotional data.

[0228] An example prompt is:

[0229] "Generate a 3D model based on the user's image, simulating the following combinations of hairstyles (bob, pixie, curly) and hair colors (blonde, brunette, red)."

[0230] "Analyze the user's facial expressions and voice to identify hairstyle and hair color combinations that they respond favorably to, and then make optimal suggestions."

[0231] This invention allows users to try new hairstyles and hair colors without risk, and can achieve high satisfaction through emotional suggestions. Furthermore, by using this system in beauty salons and barber shops, it becomes possible to easily suggest new styles to many customers.

[0232] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0233] Step 1:

[0234] The user takes images of their face and head from multiple angles using the camera on their smartphone or tablet. These images are obtained using the smartphone or tablet's camera app. The input is multiple image data, and the output is that these image data are saved on the device.

[0235] Step 2:

[0236] The device inputs the stored image data into 3D modeling software (e.g., Blender or 3D scanner software) and uses an algorithm to generate a 3D model of the user. The input is multiple image data, and the output is digital data representing the 3D model. Specific operations include processes such as image feature point extraction, triangulation, and mesh generation.

[0237] Step 3:

[0238] The terminal compresses the generated 3D model data and sends it to the server. The input is the 3D model data, and the output is the compressed data sent to the server. Specific operations include executing a data compression algorithm and transmitting the data to the server via a network.

[0239] Step 4:

[0240] The server decompresses the received 3D model data and simulates multiple hairstyles using a generative AI model (e.g., a deep learning-based GAN). The input is the decompressed 3D model data, and the output is simulated 3D model data for each hairstyle. Specific operations include running the GAN to apply hairstyle patterns to the 3D model.

[0241] Step 5:

[0242] The server further uses the generative AI model to simulate multiple hair colors for the simulated hairstyle. The input is the 3D model data after the hairstyle simulation, and the output is the 3D model data after the hair color simulation. Specific operations include a process of simulating different colors using a hair color change algorithm.

[0243] Step 6:

[0244] The server compresses all hairstyle and hair color simulation results and sends them to the terminal. The input is multiple simulation result data, and the output is the compressed data sent to the terminal. Specific operations include compressing the simulation result data and transferring it to the terminal via the network.

[0245] Step 7:

[0246] The device decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. The input is compressed data, and the decompressed simulation results are the output. Specific operations include restoring the decompressed data to its original format and displaying it on the display.

[0247] Step 8:

[0248] The device's emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to obtain emotion data. The input is the user's real-time facial expression images and voice data, and the output is the analyzed emotion data. Specific operations include the process of running facial expression recognition algorithms and voice analysis algorithms.

[0249] Step 9:

[0250] The emotion data acquired by the device is sent to the server. The input is the emotion data, and the output is the emotion data sent to the server. Specific operations include the process of transferring the emotion data to the server via a network.

[0251] Step 10:

[0252] The server analyzes the emotion data and identifies the hairstyle and hair color combination that the user is most satisfied with. The input is emotion data and simulation result data, and the output is the optimal proposal. Specific operations include the process of analyzing emotion data and evaluating its correlation with the simulation results.

[0253] Step 11:

[0254] The server sends the optimal proposal to the terminal. The input is the optimal proposal data, and the output is the proposal data sent to the terminal. Specific operations include a process of transferring the proposal to the terminal via a network.

[0255] Step 12:

[0256] The device displays the optimal proposal on the display. The input is the proposal data, and the output is the optimal hairstyle and hair color combination displayed on the display. Specific operations include a process for displaying the recommended hairstyle and hair color on the display based on the received proposal data.

[0257] (Application example 2)

[0258] 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."

[0259] In conventional hairstyle simulation systems, when users try out new hairstyles or hair colors, they lack a means to emotionally evaluate the feedback on the results, which can lead to low user satisfaction.In addition, the lack of specific suggestions to help users choose the appropriate hairstyle or hair color can lead to confusion in the selection process.

[0260] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing emotions, means for proposing an optimal hairstyle and hair color based on the analyzed emotional data, and means for generating a three-dimensional model of the user. This makes it possible to propose an optimal hairstyle and hair color based on the user's emotions.

[0261] "User" refers to the entity that uses the system to simulate their own hairstyle and hair color and select the most suitable style based on the results.

[0262] "Image acquisition means" refers to the function of acquiring images of the user's face or head using a device such as a smartphone or tablet.

[0263] "Three-dimensional model generation means" refers to software or algorithms for generating a three-dimensional face and head model from a captured image of a user.

[0264] "Generative AI" refers to an AI technology that simulates multiple hairstyles and hair colors for a three-dimensional model of a user.

[0265] "Simulation means" refers to a function for applying a hairstyle and hair color to the generated three-dimensional model and displaying the results.

[0266] "Emotion analysis means" refers to technology for recognizing and analyzing emotions from a user's facial expressions and tone of voice.

[0267] The "simulation result display means" refers to a display function for visually displaying the simulated hairstyle and hair color results to the user.

[0268] "Emotional data" refers to information about emotions analyzed from a user's facial expressions, tone of voice, etc.

[0269] "Optimal suggestion means" refers to a function that suggests the most suitable hairstyle and hair color to the user based on analyzed emotional data.

[0270] This invention relates to a system that allows users to digitally check new hairstyles and hair colors in advance, and aims to propose optimal hairstyles and hair colors that take the user's emotions into consideration by combining it with an emotion engine.

[0271] System Program

[0272] This system is realized by utilizing devices such as smartphones and tablets, servers, and emotion analysis modules.

[0273] 1. User Image Acquisition:

[0274] The user takes multiple images of their face and head using the camera on their smartphone or tablet, and the image data is stored on the device.

[0275] 2. 3D model generation:

[0276] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0277] 3. Hairstyle and hair color simulation:

[0278] The generated 3D model is sent to a server, which uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. Furthermore, the server simulates multiple hair colors for the simulated hairstyle model.

[0279] 4. Emotion analysis:

[0280] The simulation results are sent to the device, which then displays them on the screen. At this time, the emotion engine works to recognize emotions from the user's facial expressions and tone of voice. Based on the emotion data recognized by the emotion engine, the device sends that information to the server. The server analyzes the emotion engine data and suggests options that will provide the user with the highest level of satisfaction. These suggestions are then sent back to the device, which displays the optimal hairstyle and hair color.

[0281] Hardware and software used

[0282] Hardware: Smartphones (with cameras), tablets

[0283] Software: Python, face_recognition library, emotion_recognition library, hairstyle_simulation module (tentative name)

[0284] Specific examples of processing

[0285] For example, a user can take a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a positive emotion toward a particular hairstyle or hair color, suggestions are made based on that information, and the system presents the user with the style that best suits them.

[0286] Prompt Sentence Examples

[0287] "Simulate a scene where the user is smiling, taking a selfie, and trying out a new hairstyle and hair color."

[0288] In this way, the invention allows users to try new hairstyles and hair colors without risk, and provides satisfying choices through emotion-based suggestions.

[0289] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0290] Step 1:

[0291] The user takes multiple images of their face and head using a smartphone or tablet. The input data are the images of the user's face and head. These image data are saved on the device.

[0292] Step 2:

[0293] The device generates a 3D model based on the multiple image data acquired. Dedicated software (e.g., the face_recognition library) is used to create a 3D digital model of the user's face and head. The input data is the image data saved in step 1, and the output is a 3D model.

[0294] Step 3:

[0295] The generated 3D model is sent to the server. The terminal uploads the generated 3D model data to the server. The input data is the 3D model, and the output data is confirmation of successful transmission of the model to the server.

[0296] Step 4:

[0297] The server uses generative AI to simulate multiple hairstyles for the received 3D model. The server uses the generative AI model to apply various hairstyles to the 3D model and generate the results. The input data is the 3D model, and the output data is the simulation results when each hairstyle is applied.

[0298] Step 5:

[0299] The server simulates multiple hair colors for the simulated hairstyle model. Generative AI is again utilized to apply different hair colors depending on the hairstyle. The input data is the hairstyle simulation result, and the output data is the final simulation result with the hairstyle and hair colors applied.

[0300] Step 6:

[0301] The simulation results are sent to the terminal. The server sends the generated hairstyle and hair color simulation results to the terminal. The input data is the final simulation result, and the output data is a confirmation of the transmission to the terminal.

[0302] Step 7:

[0303] The terminal displays the transmitted simulation results on a display, allowing the user to visually check multiple hairstyle and hair color combinations. The input data are the simulation results, and the output data are the displayed images.

[0304] Step 8:

[0305] The device recognizes emotions from the user's facial expressions and tone of voice. An emotion engine (e.g., emotion_recognition library) is used to analyze the user's reactions and generate emotion data. The input data is the user's facial expressions and tone of voice, and the output data is emotion data.

[0306] Step 9:

[0307] The device sends emotion data to the server. The analyzed emotion data is uploaded to the server. The input data is the emotion data, and the output data is a confirmation of successful transmission to the server.

[0308] Step 10:

[0309] The server analyzes the emotion data and suggests the optimal hairstyle and hair color. The server uses the emotion engine data to determine the style that the user is most likely to be satisfied with. The input data is emotion data, and the output data is the optimal style suggestion data.

[0310] Step 11:

[0311] The terminal displays the optimal hairstyle and hair color suggestions sent from the server on a display, allowing the user to check and select the optimal style. The input data is the optimal style suggestion data, and the output data is the displayed suggestion.

[0312] 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.

[0313] 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.

[0314] 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.

[0315] [Second embodiment]

[0316] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0317] 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.

[0318] 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).

[0319] 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.

[0320] 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.

[0321] 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).

[0322] 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.

[0323] 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.

[0324] 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.

[0325] 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.

[0326] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0327] 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."

[0328] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0329] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, and these images are used for further processing.

[0330] The device then processes the captured image and generates a 3D model of the user, which is automatically generated from the image data using specialized software. The 3D model contains detailed, three-dimensional details of the user's face and head, and is used in subsequent simulations.

[0331] The generated 3D model is sent to a server. The server uses generative artificial intelligence to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0332] The results of the simulation are displayed on the device for the user to review. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0333] For example, a user takes a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle simulation is then performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0334] This invention allows users to try new hairstyles and hair colors without risk, and allows hairdressers and beauticians to perform their work more accurately. Furthermore, by introducing this technology to beauty salons and barbershops across the country, it will be possible to easily propose new styles to many customers.

[0335] The processing flow will be explained below.

[0336] Step 1:

[0337] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0338] Step 2:

[0339] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0340] Step 3:

[0341] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0342] Step 4:

[0343] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0344] Step 5:

[0345] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0346] Step 6:

[0347] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0348] Step 7:

[0349] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0350] Step 8:

[0351] The user can check the displayed simulation results and select the hairstyle and hair color that best suits them. This selection information is shared with the hairdresser or hairdresser as needed, and is reflected in the actual treatment.

[0352] Example 1

[0353] 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."

[0354] In traditional beauty salons and barber shops, when trying out a new hairstyle or hair color, customers had to actually cut or dye their hair, which increased the risk of failure. Furthermore, customers had limited means of checking in advance which style would best suit them. This often resulted in wasted time and money. Conventional technology had limited accuracy in simulating hairstyles and hair colors, and the results often differed from the actual results. New technology is needed to solve these issues.

[0355] 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.

[0356] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles and hair colors for the generated three-dimensional model using generative artificial intelligence, means for using a prompt sentence as input, means for displaying the simulation results, and means for allowing the user to select a hairstyle and hair color. This allows the user to digitally preview new hairstyles and hair colors in advance and select the style that best suits them without any risk.

[0357] A "user" is a person who uses the system to simulate a new hairstyle or hair color.

[0358] The "means for acquiring an image" is a process for acquiring an image of the user's face and head using a photographing device such as a camera.

[0359] A "three-dimensional model" is a three-dimensional digital model of a user's face and head that is generated based on multiple captured images.

[0360] "Generative artificial intelligence" is an AI technology that has the ability to generate specific conditions and designs based on input prompts.

[0361] "Means for simulating" refers to the process of applying a specific hairstyle and hair color to a three-dimensional model and visually generating the results.

[0362] A "prompt" is a piece of text that describes instructions for applying a specific hairstyle or hair color to a generative artificial intelligence.

[0363] "Simulation results" are images and data generated after generative artificial intelligence applies hairstyles and hair colors to three-dimensional models.

[0364] The "display means" refers to a display device or interface for visually presenting the simulation results to the user.

[0365] "Selective means" refers to interactive functions or systems that allow users to select the style that best suits them from multiple simulation results.

[0366] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0367] First, the user takes multiple images of their face and head using the camera on their smartphone or tablet. The user needs to take multiple images from various angles, such as the front, left and right sides, and the back of the head.

[0368] The device then sends the captured image to a server, where it is compressed in JPEG format and transmitted using a secure protocol (e.g., HTTPS), ensuring privacy and data security.

[0369] The server analyzes the received image data and automatically generates a three-dimensional model of the user's face and head using 3D modeling software (e.g., Blender). This three-dimensional model contains a detailed, three-dimensional structure of the user's face and head.

[0370] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompt statements as input and applies hairstyles and hair colors according to the instructions. For example, it uses specific prompt statements such as "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0371] For example, a user can take a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0372] Specific examples of hardware and software used

[0373] Hardware: smartphones, tablets, servers

[0374] Software: 3D modeling software (e.g., Blender), generative artificial intelligence (e.g., OpenAI DALL-E)

[0375] Users launch a dedicated app on their smartphone or tablet and take pictures following the instructions within the app. The images taken by the user are sent to a server, which analyzes them and generates a 3D model. The generated 3D model is then simulated with various hairstyles and hair colors using generative artificial intelligence, and the results are displayed on the device.

[0376] In this way, the present invention is a system that allows users to digitally preview new hairstyles and hair colors in advance and select the most suitable style. This significantly reduces the risk of users actually changing their style. It also allows hairdressers and barbers to work more accurately.

[0377] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0378] Step 1:

[0379] The user uses the camera on their smartphone or tablet to take multiple images of their face and head. Specifically, the user launches the application and follows the on-screen guide to take photos from various angles, including the front, left and right sides, and the back of the head.

[0380] Input: Multiple images of the user's face and head.

[0381] Output: Captured image data.

[0382] Step 2:

[0383] The device sends the captured image data to the server, where it is compressed in JPEG format and sent using a secure protocol (e.g., HTTPS).

[0384] Input: Captured image data.

[0385] Output: Compressed image data sent to the server.

[0386] Step 3:

[0387] The server analyzes the received image data and generates a three-dimensional model of the user's face and head. This process utilizes the API of 3D modeling software (e.g., Blender). The software runs algorithms to generate a three-dimensional digital model from multiple images.

[0388] Input: Compressed image data sent to the server.

[0389] Output: A 3D model of the user's face and head.

[0390] Step 4:

[0391] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompts as input and applies the hairstyle and hair color according to the instructions.

[0392] An example of a specific prompt might be: "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0393] Input: 3D model, prompt statement.

[0394] Output: Images of the simulated results with each hairstyle and hair color applied.

[0395] Step 5:

[0396] The server generates multiple simulation results and creates high-resolution images of each hairstyle and hair color. The generated images include multiple viewpoints to provide views from each angle.

[0397] Input: Images of the simulated results with each hairstyle and hair color applied.

[0398] Output: High resolution simulation result images.

[0399] Step 6:

[0400] The server sends the generated simulation results to the device, where the data is again compressed and transmitted over a secure protocol.

[0401] Input: High-resolution simulation result images.

[0402] Output: Compressed simulation result image sent to the terminal.

[0403] Step 7:

[0404] The device displays the received simulation results. The user can interactively check the style that best suits them from multiple hairstyles and hair colors on the device display. The device uses a touchscreen interface to allow the user to zoom in and out and rotate each style.

[0405] Input: Compressed simulation result image sent to the terminal.

[0406] Output: Simulation results displayed on the device display.

[0407] Step 8:

[0408] The user selects the hairstyle and hair color that they like best, and the information about the selected style is sent to the server and stored if desired.

[0409] Input: Simulation results displayed on the terminal display.

[0410] Output: User selected hairstyle and hair color information.

[0411] (Application example 1)

[0412] 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."

[0413] At traditional beauty salons and barber shops, when customers try out a new hairstyle or hair color, they run the risk of the finished result not meeting their expectations. Furthermore, there are limited ways to preview the new style, making it difficult to improve customer satisfaction. With conventional technology, customers are unable to preview the results of a simulation of their new hairstyle or hair color beforehand, making it difficult to improve the quality of beauty services.

[0414] 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.

[0415] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating a plurality of hair colors for the simulated hairstyle, and means for allowing the user to select an optimal hairstyle and hair color in order to apply the simulation results to beauty services in a physical store. This allows users to digitally check a new style in advance before trying it, significantly reducing the risks of treatments at beauty salons and barber shops and improving customer satisfaction.

[0416] "User" refers to an individual who uses this system to simulate their own hairstyle and hair color.

[0417] "Means for capturing images" refers to the process or device that captures an image of the user's face and head using a smartphone or tablet camera.

[0418] "Means for generating a three-dimensional model" refers to software or algorithms for generating a three-dimensional (3D) model of a user's face or head based on the acquired 2D image.

[0419] "Generative artificial intelligence" refers to AI technology used to simulate multiple hairstyles for a 3D model of a user.

[0420] "Hairstyle simulation means" refers to the process or software that uses generative artificial intelligence to apply various hairstyles to a 3D model of a user and generate the results.

[0421] "Hair color simulation means" refers to a process or software that applies multiple hair colors to a simulated hairstyle and generates the result.

[0422] "Means for displaying simulation results" refers to a process or device that displays the simulated hairstyle and hair color results on a smartphone or tablet display.

[0423] "Applying to beauty services in brick-and-mortar stores" refers to allowing users to check simulation results and select the most suitable style before undergoing beauty treatments provided at physical locations such as beauty salons and barber shops.

[0424] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0425] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, which are then used for further processing. The images are then processed on the device to generate a 3D model. This is done using image processing software such as OpenCV.

[0426] The device then processes the captured images and generates a 3D model of the user. This 3D model is automatically generated from the image data using specialized software and algorithms (e.g., a 3D modeling library). The 3D model contains detailed, three-dimensional structures of the user's face and head, and is used for subsequent simulations.

[0427] The generated 3D model is sent to a server. The server uses generative artificial intelligence (AI) to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0428] The results of the simulation are displayed on the device's display for the user to check. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0429] As a concrete example, a user visits a hair salon and launches the application. An image is taken with a camera and a three-dimensional model is generated. A bob hairstyle simulation is performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device display, and the user can select the hairstyle and hair color that they like best.

[0430] Example prompt sentence:

[0431] Now we will start simulating a new hairstyle. Take multiple images of your face and head to generate a 3D model. Then apply the prepared hairstyle and hair color and check the preview.

[0432] This invention allows customers to try new hairstyles and hair colors without risk, and allows hairdressers and barbers to perform treatments more accurately. Furthermore, by introducing this technology to hairdressers and barbers nationwide, it will be possible to easily propose new styles to many customers.

[0433] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0434] Step 1:

[0435] Users take images of their face and head using the camera on their smartphone or tablet.

[0436] Input: A still image of the user's face and head

[0437] Output: Multiple captured image data

[0438] Specific operation: The user launches the application and follows the instructions to take multiple images from different angles.

[0439] Step 2:

[0440] The device processes multiple images taken and creates a 3D model of the user using image processing software and 3D modeling libraries such as OpenCV.

[0441] Input: Multiple image data

[0442] Output: 3D model of the user

[0443] Specific operation: An image processing algorithm is executed within the device, and a three-dimensional model is automatically generated based on the captured image.

[0444] Step 3:

[0445] The generated three-dimensional model is sent to the server.

[0446] Input: 3D model of the user

[0447] Output: 3D model data sent to the server

[0448] Specific operation: The terminal sends the generated 3D model to the server via network communication.

[0449] Step 4:

[0450] The server uses generative artificial intelligence (AI) to simulate various hairstyles on a three-dimensional model of the user.

[0451] Input: 3D model data

[0452] Output: Simulation results for each hairstyle and hair color

[0453] What it does: The server runs the AI ​​model and performs simulations with multiple hairstyles (e.g., bob, pixie, curly) and hair colors.

[0454] Step 5:

[0455] The simulation results are sent to the terminal and displayed on the screen.

[0456] Input: Simulation result data

[0457] Output: Preview images of each hairstyle and hair color displayed on a smartphone or tablet screen

[0458] Specific operation: The application receives simulation data from the server and displays it visually.

[0459] Step 6:

[0460] The user selects the style that best suits them from the displayed multiple hairstyles and hair colors.

[0461] Input: Simulation results of multiple hairstyles and hair colors

[0462] Output: Information on the best hairstyle and hair color selected

[0463] Specific operation: The user selects the desired hairstyle and hair color using the on-screen selection interface and presses the confirm button.

[0464] These are the specific processing steps of this system, which allows users to digitally check their new hairstyle or hair color in advance, reducing risk before going to a beauty salon or barber shop for a treatment.

[0465] 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.

[0466] The present invention relates to a system that allows users to digitally preview new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration. Specific embodiments for carrying out the present invention will be described below.

[0467] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken and the image data is saved on the device.

[0468] The device then receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0469] The generated 3D model is sent to a server, which then uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. For example, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0470] Next, the server further uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, blonde, brunette, red, etc., and generates different hair color variations for all hairstyles.

[0471] The simulation results are sent to the device, which then displays the simulated combinations of multiple hairstyles and hair colors on the screen. At this time, the emotion engine works to recognize the user's emotions from their facial expressions and tone of voice, and evaluates how the user feels about the simulation results.

[0472] The device sends the information to the server based on the emotion data recognized by the emotion engine. The server analyzes the emotion engine data and suggests options that will satisfy the user. These suggestions are then sent back to the device, where the optimal hairstyle and hair color are displayed.

[0473] For example, a user takes a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a favorable sentiment toward a particular hairstyle or hair color, suggestions are made based on that information.

[0474] This invention allows users to try new hairstyles and hair colors without risk, and emotional suggestions allow for more satisfying choices. It also allows hairdressers and beauticians to perform their hair treatments more accurately. By introducing this invention to beauty salons and barbershops across the country, it will be possible to easily suggest new styles to many customers.

[0475] The processing flow will be explained below.

[0476] Step 1:

[0477] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0478] Step 2:

[0479] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0480] Step 3:

[0481] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0482] Step 4:

[0483] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0484] Step 5:

[0485] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0486] Step 6:

[0487] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0488] Step 7:

[0489] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0490] Step 8:

[0491] The device uses an emotion engine to analyze the user's facial expressions and tone of voice in response to the displayed simulation results, and evaluates how the user feels about each simulation. This emotion data is acquired in real time.

[0492] Step 9:

[0493] The terminal transmits the acquired emotion data to the server. The emotion data includes the positive and negative emotions expressed by the user regarding the simulation results.

[0494] Step 10:

[0495] The server analyzes the received emotional data, identifies the hairstyle and hair color simulation to which the user responded most favorably, and generates data for proposing the hairstyle and hair color that are considered to be optimal based on the results.

[0496] Step 11:

[0497] The server sends to the terminal data proposing the optimal hairstyle and hair color based on the analysis results.

[0498] Step 12:

[0499] The device will then display the simulation results based on the proposed data, allowing the user to confirm and decide on the final selection. This process allows the user to select the optimal style that reflects the emotional data.

[0500] This allows users to try new hairstyles and hair colors without any risk, and emotional suggestions help them make more satisfying choices.

[0501] Example 2

[0502] 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."

[0503] Conventional hairstyle and hair color simulation systems allow users to digitally preview their hairstyle or hair color before actually changing it, but often do not provide appropriate suggestions that take the user's emotions into consideration. As a result, users may be dissatisfied with the simulation results and regret changing their hairstyle or hair color. The present invention aims to solve these problems and provide suggestions for hairstyles and hair colors that users will be emotionally satisfied with.

[0504] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring an image of the user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating multiple hair colors for the simulated hairstyle, means for displaying the simulation results and analyzing the user's emotions, and means for suggesting an optimal hairstyle and hair color combination based on the user's emotional data. This allows the user to check detailed simulation results before changing their hairstyle or hair color, and further receive optimal suggestions based on their own emotions.

[0505] "Means for acquiring an image of the user" refers to a device or software that allows the user to take an image of their face or head and provide that data to the system.

[0506] The "means for generating a three-dimensional model of the user based on the acquired images" is software for creating a three-dimensional digital model of the user from multiple two-dimensional images taken by a camera.

[0507] "Means for simulating multiple hairstyles for a generated three-dimensional model using generative artificial intelligence" is a function that utilizes generative artificial intelligence to virtually apply various hairstyles to a generated three-dimensional model and display the results.

[0508] The "means for simulating multiple hair colors for a simulated hairstyle" is a function that sequentially applies different hair colors to a hairstyle simulated by generative artificial intelligence and displays the results.

[0509] The "means for displaying simulation results and analyzing the user's emotions" refers to emotion recognition software that displays the simulation results on a display and analyzes the user's facial expressions, voice, etc.

[0510] The "means for proposing the optimal hairstyle and hair color combination based on the user's emotional data" is a function in which the system analyzes the acquired emotional data of the user and automatically suggests the hairstyle and hair color combination that the user will be most satisfied with.

[0511] The present invention is a system that allows users to digitally check new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration.

[0512] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Typically, multiple images are taken from multiple angles, and the image data is saved on the device. This is typically done using a camera app on the smartphone or tablet.

[0513] The device then uses the stored image data to generate a 3D model of the user using 3D modeling software (e.g., Blender or 3D scanner software). This 3D model is a three-dimensional digital model of the user's face and head, automatically constructed from multiple captured images.

[0514] The generated 3D model is sent to a server, which then uses a generative AI model (e.g., a deep learning-based GAN - Generative Adversarial Network) to simulate multiple hairstyles based on the received 3D model. Specifically, hairstyles such as bob, pixie, and curly are sequentially applied to the 3D model.

[0515] The server then uses the generative AI model to simulate multiple hair colors for each simulated hairstyle, for example, blonde, brunette, red, etc., and generates different hair color variations for every hairstyle.

[0516] The simulation results are compressed and sent to the device. The device then decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. At this time, an emotion engine (e.g., facial expression recognition software or voice recognition software) is activated to analyze emotions from the user's facial expressions and tone of voice. Emotional data is acquired in real time.

[0517] The device sends the acquired emotional data to the server, which analyzes the emotional data and identifies the hairstyle and hair color combination that the user is most satisfied with. This identified suggestion is then sent back to the device, and the optimal hairstyle and hair color are displayed on the screen.

[0518] For example, a user takes photos of their face and head from multiple angles using their smartphone camera, and the saved images are processed using 3D modeling software to generate a three-dimensional model. The server then uses the generated AI model to simulate bob, pixie, and curly hairstyles, and also applies blonde, brunette, and red hair colors. The simulation results are displayed on the device, and an emotion engine analyzes the user's facial expressions and voice. Finally, optimal suggestions are made based on the user's emotional data.

[0519] An example prompt is:

[0520] "Generate a 3D model based on the user's image, simulating the following combinations of hairstyles (bob, pixie, curly) and hair colors (blonde, brunette, red)."

[0521] "Analyze the user's facial expressions and voice to identify hairstyle and hair color combinations that they respond favorably to, and then make optimal suggestions."

[0522] This invention allows users to try new hairstyles and hair colors without risk, and can achieve high satisfaction through emotional suggestions. Furthermore, by using this system in beauty salons and barber shops, it becomes possible to easily suggest new styles to many customers.

[0523] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0524] Step 1:

[0525] The user takes images of their face and head from multiple angles using the camera on their smartphone or tablet. These images are obtained using the smartphone or tablet's camera app. The input is multiple image data, and the output is that these image data are saved on the device.

[0526] Step 2:

[0527] The device inputs the stored image data into 3D modeling software (e.g., Blender or 3D scanner software) and uses an algorithm to generate a 3D model of the user. The input is multiple image data, and the output is digital data representing the 3D model. Specific operations include processes such as image feature point extraction, triangulation, and mesh generation.

[0528] Step 3:

[0529] The terminal compresses the generated 3D model data and sends it to the server. The input is the 3D model data, and the output is the compressed data sent to the server. Specific operations include executing a data compression algorithm and transmitting the data to the server via a network.

[0530] Step 4:

[0531] The server decompresses the received 3D model data and simulates multiple hairstyles using a generative AI model (e.g., a deep learning-based GAN). The input is the decompressed 3D model data, and the output is simulated 3D model data for each hairstyle. Specific operations include running the GAN to apply hairstyle patterns to the 3D model.

[0532] Step 5:

[0533] The server further uses the generative AI model to simulate multiple hair colors for the simulated hairstyle. The input is the 3D model data after the hairstyle simulation, and the output is the 3D model data after the hair color simulation. Specific operations include a process of simulating different colors using a hair color change algorithm.

[0534] Step 6:

[0535] The server compresses all hairstyle and hair color simulation results and sends them to the terminal. The input is multiple simulation result data, and the output is the compressed data sent to the terminal. Specific operations include compressing the simulation result data and transferring it to the terminal via the network.

[0536] Step 7:

[0537] The device decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. The input is compressed data, and the decompressed simulation results are the output. Specific operations include restoring the decompressed data to its original format and displaying it on the display.

[0538] Step 8:

[0539] The device's emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to obtain emotion data. The input is the user's real-time facial expression images and voice data, and the output is the analyzed emotion data. Specific operations include the process of running facial expression recognition algorithms and voice analysis algorithms.

[0540] Step 9:

[0541] The emotion data acquired by the device is sent to the server. The input is the emotion data, and the output is the emotion data sent to the server. Specific operations include the process of transferring the emotion data to the server via a network.

[0542] Step 10:

[0543] The server analyzes the emotion data and identifies the hairstyle and hair color combination that the user is most satisfied with. The input is emotion data and simulation result data, and the output is the optimal proposal. Specific operations include the process of analyzing emotion data and evaluating its correlation with the simulation results.

[0544] Step 11:

[0545] The server sends the optimal proposal to the terminal. The input is the optimal proposal data, and the output is the proposal data sent to the terminal. Specific operations include a process of transferring the proposal to the terminal via a network.

[0546] Step 12:

[0547] The device displays the optimal proposal on the display. The input is the proposal data, and the output is the optimal hairstyle and hair color combination displayed on the display. Specific operations include a process for displaying the recommended hairstyle and hair color on the display based on the received proposal data.

[0548] (Application example 2)

[0549] 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."

[0550] In conventional hairstyle simulation systems, when users try out new hairstyles or hair colors, they lack a means to emotionally evaluate the feedback on the results, which can lead to low user satisfaction.In addition, the lack of specific suggestions to help users choose the appropriate hairstyle or hair color can lead to confusion in the selection process.

[0551] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing emotions, means for proposing an optimal hairstyle and hair color based on the analyzed emotional data, and means for generating a three-dimensional model of the user. This makes it possible to propose an optimal hairstyle and hair color based on the user's emotions.

[0552] "User" refers to the entity that uses the system to simulate their own hairstyle and hair color and select the most suitable style based on the results.

[0553] "Image acquisition means" refers to the function of acquiring images of the user's face or head using a device such as a smartphone or tablet.

[0554] "Three-dimensional model generation means" refers to software or algorithms for generating a three-dimensional face and head model from a captured image of a user.

[0555] "Generative AI" refers to an AI technology that simulates multiple hairstyles and hair colors for a three-dimensional model of a user.

[0556] "Simulation means" refers to a function for applying a hairstyle and hair color to the generated three-dimensional model and displaying the results.

[0557] "Emotion analysis means" refers to technology for recognizing and analyzing emotions from a user's facial expressions and tone of voice.

[0558] The "simulation result display means" refers to a display function for visually displaying the simulated hairstyle and hair color results to the user.

[0559] "Emotional data" refers to information about emotions analyzed from a user's facial expressions, tone of voice, etc.

[0560] "Optimal suggestion means" refers to a function that suggests the most suitable hairstyle and hair color to the user based on analyzed emotional data.

[0561] This invention relates to a system that allows users to digitally check new hairstyles and hair colors in advance, and aims to propose optimal hairstyles and hair colors that take the user's emotions into consideration by combining it with an emotion engine.

[0562] System Program

[0563] This system is realized by utilizing devices such as smartphones and tablets, servers, and emotion analysis modules.

[0564] 1. User Image Acquisition:

[0565] The user takes multiple images of their face and head using the camera on their smartphone or tablet, and the image data is stored on the device.

[0566] 2. 3D model generation:

[0567] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0568] 3. Hairstyle and hair color simulation:

[0569] The generated 3D model is sent to a server, which uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. Furthermore, the server simulates multiple hair colors for the simulated hairstyle model.

[0570] 4. Emotion analysis:

[0571] The simulation results are sent to the device, which then displays them on the screen. At this time, the emotion engine works to recognize emotions from the user's facial expressions and tone of voice. Based on the emotion data recognized by the emotion engine, the device sends that information to the server. The server analyzes the emotion engine data and suggests options that will provide the user with the highest level of satisfaction. These suggestions are then sent back to the device, which displays the optimal hairstyle and hair color.

[0572] Hardware and software used

[0573] Hardware: Smartphones (with cameras), tablets

[0574] Software: Python, face_recognition library, emotion_recognition library, hairstyle_simulation module (tentative name)

[0575] Specific examples of processing

[0576] For example, a user can take a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a positive emotion toward a particular hairstyle or hair color, suggestions are made based on that information, and the system presents the user with the style that best suits them.

[0577] Prompt Sentence Examples

[0578] "Simulate a scene where the user is smiling, taking a selfie, and trying out a new hairstyle and hair color."

[0579] In this way, the invention allows users to try new hairstyles and hair colors without risk, and provides satisfying choices through emotion-based suggestions.

[0580] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0581] Step 1:

[0582] The user takes multiple images of their face and head using a smartphone or tablet. The input data are the images of the user's face and head. These image data are saved on the device.

[0583] Step 2:

[0584] The device generates a 3D model based on the multiple image data acquired. Dedicated software (e.g., the face_recognition library) is used to create a 3D digital model of the user's face and head. The input data is the image data saved in step 1, and the output is a 3D model.

[0585] Step 3:

[0586] The generated 3D model is sent to the server. The terminal uploads the generated 3D model data to the server. The input data is the 3D model, and the output data is confirmation of successful transmission of the model to the server.

[0587] Step 4:

[0588] The server uses generative AI to simulate multiple hairstyles for the received 3D model. The server uses the generative AI model to apply various hairstyles to the 3D model and generate the results. The input data is the 3D model, and the output data is the simulation results when each hairstyle is applied.

[0589] Step 5:

[0590] The server simulates multiple hair colors for the simulated hairstyle model. Generative AI is again utilized to apply different hair colors depending on the hairstyle. The input data is the hairstyle simulation result, and the output data is the final simulation result with the hairstyle and hair colors applied.

[0591] Step 6:

[0592] The simulation results are sent to the terminal. The server sends the generated hairstyle and hair color simulation results to the terminal. The input data is the final simulation result, and the output data is a confirmation of the transmission to the terminal.

[0593] Step 7:

[0594] The terminal displays the transmitted simulation results on a display, allowing the user to visually check multiple hairstyle and hair color combinations. The input data are the simulation results, and the output data are the displayed images.

[0595] Step 8:

[0596] The device recognizes emotions from the user's facial expressions and tone of voice. An emotion engine (e.g., emotion_recognition library) is used to analyze the user's reactions and generate emotion data. The input data is the user's facial expressions and tone of voice, and the output data is emotion data.

[0597] Step 9:

[0598] The device sends emotion data to the server. The analyzed emotion data is uploaded to the server. The input data is the emotion data, and the output data is a confirmation of successful transmission to the server.

[0599] Step 10:

[0600] The server analyzes the emotion data and suggests the optimal hairstyle and hair color. The server uses the emotion engine data to determine the style that the user is most likely to be satisfied with. The input data is emotion data, and the output data is the optimal style suggestion data.

[0601] Step 11:

[0602] The terminal displays the optimal hairstyle and hair color suggestions sent from the server on a display, allowing the user to check and select the optimal style. The input data is the optimal style suggestion data, and the output data is the displayed suggestion.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] [Third embodiment]

[0607] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0608] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0609] 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).

[0610] 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.

[0611] 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.

[0612] 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).

[0613] 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.

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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."

[0619] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0620] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, and these images are used for further processing.

[0621] The device then processes the captured image and generates a 3D model of the user, which is automatically generated from the image data using specialized software. The 3D model contains detailed, three-dimensional details of the user's face and head, and is used in subsequent simulations.

[0622] The generated 3D model is sent to a server. The server uses generative artificial intelligence to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0623] The results of the simulation are displayed on the device for the user to review. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0624] For example, a user takes a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle simulation is then performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0625] This invention allows users to try new hairstyles and hair colors without risk, and allows hairdressers and beauticians to perform their work more accurately. Furthermore, by introducing this technology to beauty salons and barbershops across the country, it will be possible to easily propose new styles to many customers.

[0626] The processing flow will be explained below.

[0627] Step 1:

[0628] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0629] Step 2:

[0630] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0631] Step 3:

[0632] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0633] Step 4:

[0634] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0635] Step 5:

[0636] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0637] Step 6:

[0638] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0639] Step 7:

[0640] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0641] Step 8:

[0642] The user can check the displayed simulation results and select the hairstyle and hair color that best suits them. This selection information is shared with the hairdresser or hairdresser as needed, and is reflected in the actual treatment.

[0643] Example 1

[0644] 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."

[0645] In traditional beauty salons and barber shops, when trying out a new hairstyle or hair color, customers had to actually cut or dye their hair, which increased the risk of failure. Furthermore, customers had limited means of checking in advance which style would best suit them. This often resulted in wasted time and money. Conventional technology had limited accuracy in simulating hairstyles and hair colors, and the results often differed from the actual results. New technology is needed to solve these issues.

[0646] 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.

[0647] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles and hair colors for the generated three-dimensional model using generative artificial intelligence, means for using a prompt sentence as input, means for displaying the simulation results, and means for allowing the user to select a hairstyle and hair color. This allows the user to digitally preview new hairstyles and hair colors in advance and select the style that best suits them without any risk.

[0648] A "user" is a person who uses the system to simulate a new hairstyle or hair color.

[0649] The "means for acquiring an image" is a process for acquiring an image of the user's face and head using a photographing device such as a camera.

[0650] A "three-dimensional model" is a three-dimensional digital model of a user's face and head that is generated based on multiple captured images.

[0651] "Generative artificial intelligence" is an AI technology that has the ability to generate specific conditions and designs based on input prompts.

[0652] "Means for simulating" refers to the process of applying a specific hairstyle and hair color to a three-dimensional model and visually generating the results.

[0653] A "prompt" is a piece of text that describes instructions for applying a specific hairstyle or hair color to a generative artificial intelligence.

[0654] "Simulation results" are images and data generated after generative artificial intelligence applies hairstyles and hair colors to three-dimensional models.

[0655] The "display means" refers to a display device or interface for visually presenting the simulation results to the user.

[0656] "Selective means" refers to interactive functions or systems that allow users to select the style that best suits them from multiple simulation results.

[0657] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0658] First, the user takes multiple images of their face and head using the camera on their smartphone or tablet. The user needs to take multiple images from various angles, such as the front, left and right sides, and the back of the head.

[0659] The device then sends the captured image to a server, where it is compressed in JPEG format and transmitted using a secure protocol (e.g., HTTPS), ensuring privacy and data security.

[0660] The server analyzes the received image data and automatically generates a three-dimensional model of the user's face and head using 3D modeling software (e.g., Blender). This three-dimensional model contains a detailed, three-dimensional structure of the user's face and head.

[0661] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompt statements as input and applies hairstyles and hair colors according to the instructions. For example, it uses specific prompt statements such as "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0662] For example, a user can take a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0663] Specific examples of hardware and software used

[0664] Hardware: smartphones, tablets, servers

[0665] Software: 3D modeling software (e.g., Blender), generative artificial intelligence (e.g., OpenAI DALL-E)

[0666] Users launch a dedicated app on their smartphone or tablet and take pictures following the instructions within the app. The images taken by the user are sent to a server, which analyzes them and generates a 3D model. The generated 3D model is then simulated with various hairstyles and hair colors using generative artificial intelligence, and the results are displayed on the device.

[0667] In this way, the present invention is a system that allows users to digitally preview new hairstyles and hair colors in advance and select the most suitable style. This significantly reduces the risk of users actually changing their style. It also allows hairdressers and barbers to work more accurately.

[0668] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0669] Step 1:

[0670] The user uses the camera on their smartphone or tablet to take multiple images of their face and head. Specifically, the user launches the application and follows the on-screen guide to take photos from various angles, including the front, left and right sides, and the back of the head.

[0671] Input: Multiple images of the user's face and head.

[0672] Output: Captured image data.

[0673] Step 2:

[0674] The device sends the captured image data to the server, where it is compressed in JPEG format and sent using a secure protocol (e.g., HTTPS).

[0675] Input: Captured image data.

[0676] Output: Compressed image data sent to the server.

[0677] Step 3:

[0678] The server analyzes the received image data and generates a three-dimensional model of the user's face and head. This process utilizes the API of 3D modeling software (e.g., Blender). The software runs algorithms to generate a three-dimensional digital model from multiple images.

[0679] Input: Compressed image data sent to the server.

[0680] Output: A 3D model of the user's face and head.

[0681] Step 4:

[0682] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompts as input and applies the hairstyle and hair color according to the instructions.

[0683] An example of a specific prompt might be: "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0684] Input: 3D model, prompt statement.

[0685] Output: Images of the simulated results with each hairstyle and hair color applied.

[0686] Step 5:

[0687] The server generates multiple simulation results and creates high-resolution images of each hairstyle and hair color. The generated images include multiple viewpoints to provide views from each angle.

[0688] Input: Images of the simulated results with each hairstyle and hair color applied.

[0689] Output: High resolution simulation result images.

[0690] Step 6:

[0691] The server sends the generated simulation results to the device, where the data is again compressed and transmitted over a secure protocol.

[0692] Input: High-resolution simulation result images.

[0693] Output: Compressed simulation result image sent to the terminal.

[0694] Step 7:

[0695] The device displays the received simulation results. The user can interactively check the style that best suits them from multiple hairstyles and hair colors on the device display. The device uses a touchscreen interface to allow the user to zoom in and out and rotate each style.

[0696] Input: Compressed simulation result image sent to the terminal.

[0697] Output: Simulation results displayed on the device display.

[0698] Step 8:

[0699] The user selects the hairstyle and hair color that they like best, and the information about the selected style is sent to the server and stored if desired.

[0700] Input: Simulation results displayed on the terminal display.

[0701] Output: User selected hairstyle and hair color information.

[0702] (Application example 1)

[0703] 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."

[0704] At traditional beauty salons and barber shops, when customers try out a new hairstyle or hair color, they run the risk of the finished result not meeting their expectations. Furthermore, there are limited ways to preview the new style, making it difficult to improve customer satisfaction. With conventional technology, customers are unable to preview the results of a simulation of their new hairstyle or hair color beforehand, making it difficult to improve the quality of beauty services.

[0705] 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.

[0706] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating a plurality of hair colors for the simulated hairstyle, and means for allowing the user to select an optimal hairstyle and hair color in order to apply the simulation results to beauty services in a physical store. This allows users to digitally check a new style in advance before trying it, significantly reducing the risks of treatments at beauty salons and barber shops and improving customer satisfaction.

[0707] "User" refers to an individual who uses this system to simulate their own hairstyle and hair color.

[0708] "Means for capturing images" refers to the process or device that captures an image of the user's face and head using a smartphone or tablet camera.

[0709] "Means for generating a three-dimensional model" refers to software or algorithms for generating a three-dimensional (3D) model of a user's face or head based on the acquired 2D image.

[0710] "Generative artificial intelligence" refers to AI technology used to simulate multiple hairstyles for a 3D model of a user.

[0711] "Hairstyle simulation means" refers to the process or software that uses generative artificial intelligence to apply various hairstyles to a 3D model of a user and generate the results.

[0712] "Hair color simulation means" refers to a process or software that applies multiple hair colors to a simulated hairstyle and generates the result.

[0713] "Means for displaying simulation results" refers to a process or device that displays the simulated hairstyle and hair color results on a smartphone or tablet display.

[0714] "Applying to beauty services in brick-and-mortar stores" refers to allowing users to check simulation results and select the most suitable style before undergoing beauty treatments provided at physical locations such as beauty salons and barber shops.

[0715] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0716] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, which are then used for further processing. The images are then processed on the device to generate a 3D model. This is done using image processing software such as OpenCV.

[0717] The device then processes the captured images and generates a 3D model of the user. This 3D model is automatically generated from the image data using specialized software and algorithms (e.g., a 3D modeling library). The 3D model contains detailed, three-dimensional structures of the user's face and head, and is used for subsequent simulations.

[0718] The generated 3D model is sent to a server. The server uses generative artificial intelligence (AI) to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0719] The results of the simulation are displayed on the device's display for the user to check. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0720] As a concrete example, a user visits a hair salon and launches the application. An image is taken with a camera and a three-dimensional model is generated. A bob hairstyle simulation is performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device display, and the user can select the hairstyle and hair color that they like best.

[0721] Example prompt sentence:

[0722] Now we will start simulating a new hairstyle. Take multiple images of your face and head to generate a 3D model. Then apply the prepared hairstyle and hair color and check the preview.

[0723] This invention allows customers to try new hairstyles and hair colors without risk, and allows hairdressers and barbers to perform treatments more accurately. Furthermore, by introducing this technology to hairdressers and barbers nationwide, it will be possible to easily propose new styles to many customers.

[0724] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0725] Step 1:

[0726] Users take images of their face and head using the camera on their smartphone or tablet.

[0727] Input: A still image of the user's face and head

[0728] Output: Multiple captured image data

[0729] Specific operation: The user launches the application and follows the instructions to take multiple images from different angles.

[0730] Step 2:

[0731] The device processes multiple images taken and creates a 3D model of the user using image processing software and 3D modeling libraries such as OpenCV.

[0732] Input: Multiple image data

[0733] Output: 3D model of the user

[0734] Specific operation: An image processing algorithm is executed within the device, and a three-dimensional model is automatically generated based on the captured image.

[0735] Step 3:

[0736] The generated three-dimensional model is sent to the server.

[0737] Input: 3D model of the user

[0738] Output: 3D model data sent to the server

[0739] Specific operation: The terminal sends the generated 3D model to the server via network communication.

[0740] Step 4:

[0741] The server uses generative artificial intelligence (AI) to simulate various hairstyles on a three-dimensional model of the user.

[0742] Input: 3D model data

[0743] Output: Simulation results for each hairstyle and hair color

[0744] What it does: The server runs the AI ​​model and performs simulations with multiple hairstyles (e.g., bob, pixie, curly) and hair colors.

[0745] Step 5:

[0746] The simulation results are sent to the terminal and displayed on the screen.

[0747] Input: Simulation result data

[0748] Output: Preview images of each hairstyle and hair color displayed on a smartphone or tablet screen

[0749] Specific operation: The application receives simulation data from the server and displays it visually.

[0750] Step 6:

[0751] The user selects the style that best suits them from the displayed multiple hairstyles and hair colors.

[0752] Input: Simulation results of multiple hairstyles and hair colors

[0753] Output: Information on the best hairstyle and hair color selected

[0754] Specific operation: The user selects the desired hairstyle and hair color using the on-screen selection interface and presses the confirm button.

[0755] These are the specific processing steps of this system, which allows users to digitally check their new hairstyle or hair color in advance, reducing risk before going to a beauty salon or barber shop for a treatment.

[0756] 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.

[0757] The present invention relates to a system that allows users to digitally preview new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration. Specific embodiments for carrying out the present invention will be described below.

[0758] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken and the image data is saved on the device.

[0759] The device then receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0760] The generated 3D model is sent to a server, which then uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. For example, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0761] Next, the server further uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, blonde, brunette, red, etc., and generates different hair color variations for all hairstyles.

[0762] The simulation results are sent to the device, which then displays the simulated combinations of multiple hairstyles and hair colors on the screen. At this time, the emotion engine works to recognize the user's emotions from their facial expressions and tone of voice, and evaluates how the user feels about the simulation results.

[0763] The device sends the information to the server based on the emotion data recognized by the emotion engine. The server analyzes the emotion engine data and suggests options that will satisfy the user. These suggestions are then sent back to the device, where the optimal hairstyle and hair color are displayed.

[0764] For example, a user takes a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a favorable sentiment toward a particular hairstyle or hair color, suggestions are made based on that information.

[0765] This invention allows users to try new hairstyles and hair colors without risk, and emotional suggestions allow for more satisfying choices. It also allows hairdressers and beauticians to perform their hair treatments more accurately. By introducing this invention to beauty salons and barbershops across the country, it will be possible to easily suggest new styles to many customers.

[0766] The processing flow will be explained below.

[0767] Step 1:

[0768] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0769] Step 2:

[0770] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0771] Step 3:

[0772] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0773] Step 4:

[0774] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0775] Step 5:

[0776] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0777] Step 6:

[0778] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0779] Step 7:

[0780] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0781] Step 8:

[0782] The device uses an emotion engine to analyze the user's facial expressions and tone of voice in response to the displayed simulation results, and evaluates how the user feels about each simulation. This emotion data is acquired in real time.

[0783] Step 9:

[0784] The terminal transmits the acquired emotion data to the server. The emotion data includes the positive and negative emotions expressed by the user regarding the simulation results.

[0785] Step 10:

[0786] The server analyzes the received emotional data, identifies the hairstyle and hair color simulation to which the user responded most favorably, and generates data for proposing the hairstyle and hair color that are considered to be optimal based on the results.

[0787] Step 11:

[0788] The server sends to the terminal data proposing the optimal hairstyle and hair color based on the analysis results.

[0789] Step 12:

[0790] The device will then display the simulation results based on the proposed data, allowing the user to confirm and decide on the final selection. This process allows the user to select the optimal style that reflects the emotional data.

[0791] This allows users to try new hairstyles and hair colors without any risk, and emotional suggestions help them make more satisfying choices.

[0792] Example 2

[0793] 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."

[0794] Conventional hairstyle and hair color simulation systems allow users to digitally preview their hairstyle or hair color before actually changing it, but often do not provide appropriate suggestions that take the user's emotions into consideration. As a result, users may be dissatisfied with the simulation results and regret changing their hairstyle or hair color. The present invention aims to solve these problems and provide suggestions for hairstyles and hair colors that users will be emotionally satisfied with.

[0795] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring an image of the user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating multiple hair colors for the simulated hairstyle, means for displaying the simulation results and analyzing the user's emotions, and means for suggesting an optimal hairstyle and hair color combination based on the user's emotional data. This allows the user to check detailed simulation results before changing their hairstyle or hair color, and further receive optimal suggestions based on their own emotions.

[0796] "Means for acquiring an image of the user" refers to a device or software that allows the user to take an image of their face or head and provide that data to the system.

[0797] The "means for generating a three-dimensional model of the user based on the acquired images" is software for creating a three-dimensional digital model of the user from multiple two-dimensional images taken by a camera.

[0798] "Means for simulating multiple hairstyles for a generated three-dimensional model using generative artificial intelligence" is a function that utilizes generative artificial intelligence to virtually apply various hairstyles to a generated three-dimensional model and display the results.

[0799] The "means for simulating multiple hair colors for a simulated hairstyle" is a function that sequentially applies different hair colors to a hairstyle simulated by generative artificial intelligence and displays the results.

[0800] The "means for displaying simulation results and analyzing the user's emotions" refers to emotion recognition software that displays the simulation results on a display and analyzes the user's facial expressions, voice, etc.

[0801] The "means for proposing the optimal hairstyle and hair color combination based on the user's emotional data" is a function in which the system analyzes the acquired emotional data of the user and automatically suggests the hairstyle and hair color combination that the user will be most satisfied with.

[0802] The present invention is a system that allows users to digitally check new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration.

[0803] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Typically, multiple images are taken from multiple angles, and the image data is saved on the device. This is typically done using a camera app on the smartphone or tablet.

[0804] The device then uses the stored image data to generate a 3D model of the user using 3D modeling software (e.g., Blender or 3D scanner software). This 3D model is a three-dimensional digital model of the user's face and head, automatically constructed from multiple captured images.

[0805] The generated 3D model is sent to a server, which then uses a generative AI model (e.g., a deep learning-based GAN - Generative Adversarial Network) to simulate multiple hairstyles based on the received 3D model. Specifically, hairstyles such as bob, pixie, and curly are sequentially applied to the 3D model.

[0806] The server then uses the generative AI model to simulate multiple hair colors for each simulated hairstyle, for example, blonde, brunette, red, etc., and generates different hair color variations for every hairstyle.

[0807] The simulation results are compressed and sent to the device. The device then decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. At this time, an emotion engine (e.g., facial expression recognition software or voice recognition software) is activated to analyze emotions from the user's facial expressions and tone of voice. Emotional data is acquired in real time.

[0808] The device sends the acquired emotional data to the server, which analyzes the emotional data and identifies the hairstyle and hair color combination that the user is most satisfied with. This identified suggestion is then sent back to the device, and the optimal hairstyle and hair color are displayed on the screen.

[0809] For example, a user takes photos of their face and head from multiple angles using their smartphone camera, and the saved images are processed using 3D modeling software to generate a three-dimensional model. The server then uses the generated AI model to simulate bob, pixie, and curly hairstyles, and also applies blonde, brunette, and red hair colors. The simulation results are displayed on the device, and an emotion engine analyzes the user's facial expressions and voice. Finally, optimal suggestions are made based on the user's emotional data.

[0810] An example prompt is:

[0811] "Generate a 3D model based on the user's image, simulating the following combinations of hairstyles (bob, pixie, curly) and hair colors (blonde, brunette, red)."

[0812] "Analyze the user's facial expressions and voice to identify hairstyle and hair color combinations that they respond favorably to, and then make optimal suggestions."

[0813] This invention allows users to try new hairstyles and hair colors without risk, and can achieve high satisfaction through emotional suggestions. Furthermore, by using this system in beauty salons and barber shops, it becomes possible to easily suggest new styles to many customers.

[0814] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0815] Step 1:

[0816] The user takes images of their face and head from multiple angles using the camera on their smartphone or tablet. These images are obtained using the smartphone or tablet's camera app. The input is multiple image data, and the output is that these image data are saved on the device.

[0817] Step 2:

[0818] The device inputs the stored image data into 3D modeling software (e.g., Blender or 3D scanner software) and uses an algorithm to generate a 3D model of the user. The input is multiple image data, and the output is digital data representing the 3D model. Specific operations include processes such as image feature point extraction, triangulation, and mesh generation.

[0819] Step 3:

[0820] The terminal compresses the generated 3D model data and sends it to the server. The input is the 3D model data, and the output is the compressed data sent to the server. Specific operations include executing a data compression algorithm and transmitting the data to the server via a network.

[0821] Step 4:

[0822] The server decompresses the received 3D model data and simulates multiple hairstyles using a generative AI model (e.g., a deep learning-based GAN). The input is the decompressed 3D model data, and the output is simulated 3D model data for each hairstyle. Specific operations include running the GAN to apply hairstyle patterns to the 3D model.

[0823] Step 5:

[0824] The server further uses the generative AI model to simulate multiple hair colors for the simulated hairstyle. The input is the 3D model data after the hairstyle simulation, and the output is the 3D model data after the hair color simulation. Specific operations include a process of simulating different colors using a hair color change algorithm.

[0825] Step 6:

[0826] The server compresses all hairstyle and hair color simulation results and sends them to the terminal. The input is multiple simulation result data, and the output is the compressed data sent to the terminal. Specific operations include compressing the simulation result data and transferring it to the terminal via the network.

[0827] Step 7:

[0828] The device decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. The input is compressed data, and the decompressed simulation results are the output. Specific operations include restoring the decompressed data to its original format and displaying it on the display.

[0829] Step 8:

[0830] The device's emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to obtain emotion data. The input is the user's real-time facial expression images and voice data, and the output is the analyzed emotion data. Specific operations include the process of running facial expression recognition algorithms and voice analysis algorithms.

[0831] Step 9:

[0832] The emotion data acquired by the device is sent to the server. The input is the emotion data, and the output is the emotion data sent to the server. Specific operations include the process of transferring the emotion data to the server via a network.

[0833] Step 10:

[0834] The server analyzes the emotion data and identifies the hairstyle and hair color combination that the user is most satisfied with. The input is emotion data and simulation result data, and the output is the optimal proposal. Specific operations include the process of analyzing emotion data and evaluating its correlation with the simulation results.

[0835] Step 11:

[0836] The server sends the optimal proposal to the terminal. The input is the optimal proposal data, and the output is the proposal data sent to the terminal. Specific operations include a process of transferring the proposal to the terminal via a network.

[0837] Step 12:

[0838] The device displays the optimal proposal on the display. The input is the proposal data, and the output is the optimal hairstyle and hair color combination displayed on the display. Specific operations include a process for displaying the recommended hairstyle and hair color on the display based on the received proposal data.

[0839] (Application example 2)

[0840] 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."

[0841] In conventional hairstyle simulation systems, when users try out new hairstyles or hair colors, they lack a means to emotionally evaluate the feedback on the results, which can lead to low user satisfaction.In addition, the lack of specific suggestions to help users choose the appropriate hairstyle or hair color can lead to confusion in the selection process.

[0842] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing emotions, means for proposing an optimal hairstyle and hair color based on the analyzed emotional data, and means for generating a three-dimensional model of the user. This makes it possible to propose an optimal hairstyle and hair color based on the user's emotions.

[0843] "User" refers to the entity that uses the system to simulate their own hairstyle and hair color and select the most suitable style based on the results.

[0844] "Image acquisition means" refers to the function of acquiring images of the user's face or head using a device such as a smartphone or tablet.

[0845] "Three-dimensional model generation means" refers to software or algorithms for generating a three-dimensional face and head model from a captured image of a user.

[0846] "Generative AI" refers to an AI technology that simulates multiple hairstyles and hair colors for a three-dimensional model of a user.

[0847] "Simulation means" refers to a function for applying a hairstyle and hair color to the generated three-dimensional model and displaying the results.

[0848] "Emotion analysis means" refers to technology for recognizing and analyzing emotions from a user's facial expressions and tone of voice.

[0849] The "simulation result display means" refers to a display function for visually displaying the simulated hairstyle and hair color results to the user.

[0850] "Emotional data" refers to information about emotions analyzed from a user's facial expressions, tone of voice, etc.

[0851] "Optimal suggestion means" refers to a function that suggests the most suitable hairstyle and hair color to the user based on analyzed emotional data.

[0852] This invention relates to a system that allows users to digitally check new hairstyles and hair colors in advance, and aims to propose optimal hairstyles and hair colors that take the user's emotions into consideration by combining it with an emotion engine.

[0853] System Program

[0854] This system is realized by utilizing devices such as smartphones and tablets, servers, and emotion analysis modules.

[0855] 1. User Image Acquisition:

[0856] The user takes multiple images of their face and head using the camera on their smartphone or tablet, and the image data is stored on the device.

[0857] 2. 3D model generation:

[0858] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0859] 3. Hairstyle and hair color simulation:

[0860] The generated 3D model is sent to a server, which uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. Furthermore, the server simulates multiple hair colors for the simulated hairstyle model.

[0861] 4. Emotion analysis:

[0862] The simulation results are sent to the device, which then displays them on the screen. At this time, the emotion engine works to recognize emotions from the user's facial expressions and tone of voice. Based on the emotion data recognized by the emotion engine, the device sends that information to the server. The server analyzes the emotion engine data and suggests options that will provide the user with the highest level of satisfaction. These suggestions are then sent back to the device, which displays the optimal hairstyle and hair color.

[0863] Hardware and software used

[0864] Hardware: Smartphones (with cameras), tablets

[0865] Software: Python, face_recognition library, emotion_recognition library, hairstyle_simulation module (tentative name)

[0866] Specific examples of processing

[0867] For example, a user can take a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a positive emotion toward a particular hairstyle or hair color, suggestions are made based on that information, and the system presents the user with the style that best suits them.

[0868] Prompt Sentence Examples

[0869] "Simulate a scene where the user is smiling, taking a selfie, and trying out a new hairstyle and hair color."

[0870] In this way, the invention allows users to try new hairstyles and hair colors without risk, and provides satisfying choices through emotion-based suggestions.

[0871] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0872] Step 1:

[0873] The user takes multiple images of their face and head using a smartphone or tablet. The input data are the images of the user's face and head. These image data are saved on the device.

[0874] Step 2:

[0875] The device generates a 3D model based on the multiple image data acquired. Dedicated software (e.g., the face_recognition library) is used to create a 3D digital model of the user's face and head. The input data is the image data saved in step 1, and the output is a 3D model.

[0876] Step 3:

[0877] The generated 3D model is sent to the server. The terminal uploads the generated 3D model data to the server. The input data is the 3D model, and the output data is confirmation of successful transmission of the model to the server.

[0878] Step 4:

[0879] The server uses generative AI to simulate multiple hairstyles for the received 3D model. The server uses the generative AI model to apply various hairstyles to the 3D model and generate the results. The input data is the 3D model, and the output data is the simulation results when each hairstyle is applied.

[0880] Step 5:

[0881] The server simulates multiple hair colors for the simulated hairstyle model. Generative AI is again utilized to apply different hair colors depending on the hairstyle. The input data is the hairstyle simulation result, and the output data is the final simulation result with the hairstyle and hair colors applied.

[0882] Step 6:

[0883] The simulation results are sent to the terminal. The server sends the generated hairstyle and hair color simulation results to the terminal. The input data is the final simulation result, and the output data is a confirmation of the transmission to the terminal.

[0884] Step 7:

[0885] The terminal displays the transmitted simulation results on a display, allowing the user to visually check multiple hairstyle and hair color combinations. The input data are the simulation results, and the output data are the displayed images.

[0886] Step 8:

[0887] The device recognizes emotions from the user's facial expressions and tone of voice. An emotion engine (e.g., emotion_recognition library) is used to analyze the user's reactions and generate emotion data. The input data is the user's facial expressions and tone of voice, and the output data is emotion data.

[0888] Step 9:

[0889] The device sends emotion data to the server. The analyzed emotion data is uploaded to the server. The input data is the emotion data, and the output data is a confirmation of successful transmission to the server.

[0890] Step 10:

[0891] The server analyzes the emotion data and suggests the optimal hairstyle and hair color. The server uses the emotion engine data to determine the style that the user is most likely to be satisfied with. The input data is emotion data, and the output data is the optimal style suggestion data.

[0892] Step 11:

[0893] The terminal displays the optimal hairstyle and hair color suggestions sent from the server on a display, allowing the user to check and select the optimal style. The input data is the optimal style suggestion data, and the output data is the displayed suggestion.

[0894] 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.

[0895] 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.

[0896] 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.

[0897] [Fourth embodiment]

[0898] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0899] 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.

[0900] 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).

[0901] 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.

[0902] 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.

[0903] 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).

[0904] 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.

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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.

[0909] 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.

[0910] 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."

[0911] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0912] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, and these images are used for further processing.

[0913] The device then processes the captured image and generates a 3D model of the user, which is automatically generated from the image data using specialized software. The 3D model contains detailed, three-dimensional details of the user's face and head, and is used in subsequent simulations.

[0914] The generated 3D model is sent to a server. The server uses generative artificial intelligence to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[0915] The results of the simulation are displayed on the device for the user to review. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[0916] For example, a user takes a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle simulation is then performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0917] This invention allows users to try new hairstyles and hair colors without risk, and allows hairdressers and beauticians to perform their work more accurately. Furthermore, by introducing this technology to beauty salons and barbershops across the country, it will be possible to easily propose new styles to many customers.

[0918] The processing flow will be explained below.

[0919] Step 1:

[0920] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[0921] Step 2:

[0922] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[0923] Step 3:

[0924] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[0925] Step 4:

[0926] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[0927] Step 5:

[0928] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[0929] Step 6:

[0930] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[0931] Step 7:

[0932] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[0933] Step 8:

[0934] The user can check the displayed simulation results and select the hairstyle and hair color that best suits them. This selection information is shared with the hairdresser or hairdresser as needed, and is reflected in the actual treatment.

[0935] Example 1

[0936] 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."

[0937] In traditional beauty salons and barber shops, when trying out a new hairstyle or hair color, customers had to actually cut or dye their hair, which increased the risk of failure. Furthermore, customers had limited means of checking in advance which style would best suit them. This often resulted in wasted time and money. Conventional technology had limited accuracy in simulating hairstyles and hair colors, and the results often differed from the actual results. New technology is needed to solve these issues.

[0938] 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.

[0939] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles and hair colors for the generated three-dimensional model using generative artificial intelligence, means for using a prompt sentence as input, means for displaying the simulation results, and means for allowing the user to select a hairstyle and hair color. This allows the user to digitally preview new hairstyles and hair colors in advance and select the style that best suits them without any risk.

[0940] A "user" is a person who uses the system to simulate a new hairstyle or hair color.

[0941] The "means for acquiring an image" is a process for acquiring an image of the user's face and head using a photographing device such as a camera.

[0942] A "three-dimensional model" is a three-dimensional digital model of a user's face and head that is generated based on multiple captured images.

[0943] "Generative artificial intelligence" is an AI technology that has the ability to generate specific conditions and designs based on input prompts.

[0944] "Means for simulating" refers to the process of applying a specific hairstyle and hair color to a three-dimensional model and visually generating the results.

[0945] A "prompt" is a piece of text that describes instructions for applying a specific hairstyle or hair color to a generative artificial intelligence.

[0946] "Simulation results" are images and data generated after generative artificial intelligence applies hairstyles and hair colors to three-dimensional models.

[0947] The "display means" refers to a display device or interface for visually presenting the simulation results to the user.

[0948] "Selective means" refers to interactive functions or systems that allow users to select the style that best suits them from multiple simulation results.

[0949] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[0950] First, the user takes multiple images of their face and head using the camera on their smartphone or tablet. The user needs to take multiple images from various angles, such as the front, left and right sides, and the back of the head.

[0951] The device then sends the captured image to a server, where it is compressed in JPEG format and transmitted using a secure protocol (e.g., HTTPS), ensuring privacy and data security.

[0952] The server analyzes the received image data and automatically generates a three-dimensional model of the user's face and head using 3D modeling software (e.g., Blender). This three-dimensional model contains a detailed, three-dimensional structure of the user's face and head.

[0953] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompt statements as input and applies hairstyles and hair colors according to the instructions. For example, it uses specific prompt statements such as "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0954] For example, a user can take a photo of themselves with a smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's screen, and the user can choose the hairstyle and hair color they like best.

[0955] Specific examples of hardware and software used

[0956] Hardware: smartphones, tablets, servers

[0957] Software: 3D modeling software (e.g., Blender), generative artificial intelligence (e.g., OpenAI DALL-E)

[0958] Users launch a dedicated app on their smartphone or tablet and take pictures following the instructions within the app. The images taken by the user are sent to a server, which analyzes them and generates a 3D model. The generated 3D model is then simulated with various hairstyles and hair colors using generative artificial intelligence, and the results are displayed on the device.

[0959] In this way, the present invention is a system that allows users to digitally preview new hairstyles and hair colors in advance and select the most suitable style. This significantly reduces the risk of users actually changing their style. It also allows hairdressers and barbers to work more accurately.

[0960] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0961] Step 1:

[0962] The user uses the camera on their smartphone or tablet to take multiple images of their face and head. Specifically, the user launches the application and follows the on-screen guide to take photos from various angles, including the front, left and right sides, and the back of the head.

[0963] Input: Multiple images of the user's face and head.

[0964] Output: Captured image data.

[0965] Step 2:

[0966] The device sends the captured image data to the server, where it is compressed in JPEG format and sent using a secure protocol (e.g., HTTPS).

[0967] Input: Captured image data.

[0968] Output: Compressed image data sent to the server.

[0969] Step 3:

[0970] The server analyzes the received image data and generates a three-dimensional model of the user's face and head. This process utilizes the API of 3D modeling software (e.g., Blender). The software runs algorithms to generate a three-dimensional digital model from multiple images.

[0971] Input: Compressed image data sent to the server.

[0972] Output: A 3D model of the user's face and head.

[0973] Step 4:

[0974] The server uses generative artificial intelligence (e.g., OpenAI DALL-E) to simulate various hairstyles and hair colors for the generated 3D model. The AI ​​receives prompts as input and applies the hairstyle and hair color according to the instructions.

[0975] An example of a specific prompt might be: "Apply a bob hairstyle to the face model and change the hair color to blonde."

[0976] Input: 3D model, prompt statement.

[0977] Output: Images of the simulated results with each hairstyle and hair color applied.

[0978] Step 5:

[0979] The server generates multiple simulation results and creates high-resolution images of each hairstyle and hair color. The generated images include multiple viewpoints to provide views from each angle.

[0980] Input: Images of the simulated results with each hairstyle and hair color applied.

[0981] Output: High resolution simulation result images.

[0982] Step 6:

[0983] The server sends the generated simulation results to the device, where the data is again compressed and transmitted over a secure protocol.

[0984] Input: High-resolution simulation result images.

[0985] Output: Compressed simulation result image sent to the terminal.

[0986] Step 7:

[0987] The device displays the received simulation results. The user can interactively check the style that best suits them from multiple hairstyles and hair colors on the device display. The device uses a touchscreen interface to allow the user to zoom in and out and rotate each style.

[0988] Input: Compressed simulation result image sent to the terminal.

[0989] Output: Simulation results displayed on the device display.

[0990] Step 8:

[0991] The user selects the hairstyle and hair color that they like best, and the information about the selected style is sent to the server and stored if desired.

[0992] Input: Simulation results displayed on the terminal display.

[0993] Output: User selected hairstyle and hair color information.

[0994] (Application example 1)

[0995] 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."

[0996] At traditional beauty salons and barber shops, when customers try out a new hairstyle or hair color, they run the risk of the finished result not meeting their expectations. Furthermore, there are limited ways to preview the new style, making it difficult to improve customer satisfaction. With conventional technology, customers are unable to preview the results of a simulation of their new hairstyle or hair color beforehand, making it difficult to improve the quality of beauty services.

[0997] 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.

[0998] In this invention, the server includes means for acquiring an image of a user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating a plurality of hair colors for the simulated hairstyle, and means for allowing the user to select an optimal hairstyle and hair color in order to apply the simulation results to beauty services in a physical store. This allows users to digitally check a new style in advance before trying it, significantly reducing the risks of treatments at beauty salons and barber shops and improving customer satisfaction.

[0999] "User" refers to an individual who uses this system to simulate their own hairstyle and hair color.

[1000] "Means for capturing images" refers to the process or device that captures an image of the user's face and head using a smartphone or tablet camera.

[1001] "Means for generating a three-dimensional model" refers to software or algorithms for generating a three-dimensional (3D) model of a user's face or head based on the acquired 2D image.

[1002] "Generative artificial intelligence" refers to AI technology used to simulate multiple hairstyles for a 3D model of a user.

[1003] "Hairstyle simulation means" refers to the process or software that uses generative artificial intelligence to apply various hairstyles to a 3D model of a user and generate the results.

[1004] "Hair color simulation means" refers to a process or software that applies multiple hair colors to a simulated hairstyle and generates the result.

[1005] "Means for displaying simulation results" refers to a process or device that displays the simulated hairstyle and hair color results on a smartphone or tablet display.

[1006] "Applying to beauty services in brick-and-mortar stores" refers to allowing users to check simulation results and select the most suitable style before undergoing beauty treatments provided at physical locations such as beauty salons and barber shops.

[1007] The present invention relates to a system that allows a user to digitally check a new hairstyle or hair color in advance. Specific embodiments for carrying out the present invention will be described below.

[1008] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken, which are then used for further processing. The images are then processed on the device to generate a 3D model. This is done using image processing software such as OpenCV.

[1009] The device then processes the captured images and generates a 3D model of the user. This 3D model is automatically generated from the image data using specialized software and algorithms (e.g., a 3D modeling library). The 3D model contains detailed, three-dimensional structures of the user's face and head, and is used for subsequent simulations.

[1010] The generated 3D model is sent to a server. The server uses generative artificial intelligence (AI) to simulate various hairstyles for the 3D model. For example, multiple hairstyles, such as bob, pixie, and curly, are available, and these hairstyles are applied to the 3D model. The simulated hairstyle can then be changed to multiple hair colors. For example, hair colors such as blonde, brunette, and red are applied, and different hair colors are simulated for each hairstyle.

[1011] The results of the simulation are displayed on the device's display for the user to check. The user can then select the style that best suits them from the multiple hairstyles and hair colors displayed. This selection function allows users to try out new hairstyles and hair colors digitally before going to a hair salon or barber shop, significantly reducing the risk of failure.

[1012] As a concrete example, a user visits a hair salon and launches the application. An image is taken with a camera and a three-dimensional model is generated. A bob hairstyle simulation is performed on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device display, and the user can select the hairstyle and hair color that they like best.

[1013] Example prompt sentence:

[1014] Now we will start simulating a new hairstyle. Take multiple images of your face and head to generate a 3D model. Then apply the prepared hairstyle and hair color and check the preview.

[1015] This invention allows customers to try new hairstyles and hair colors without risk, and allows hairdressers and barbers to perform treatments more accurately. Furthermore, by introducing this technology to hairdressers and barbers nationwide, it will be possible to easily propose new styles to many customers.

[1016] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1017] Step 1:

[1018] Users take images of their face and head using the camera on their smartphone or tablet.

[1019] Input: A still image of the user's face and head

[1020] Output: Multiple captured image data

[1021] Specific operation: The user launches the application and follows the instructions to take multiple images from different angles.

[1022] Step 2:

[1023] The device processes multiple images taken and creates a 3D model of the user using image processing software and 3D modeling libraries such as OpenCV.

[1024] Input: Multiple image data

[1025] Output: 3D model of the user

[1026] Specific operation: An image processing algorithm is executed within the device, and a three-dimensional model is automatically generated based on the captured image.

[1027] Step 3:

[1028] The generated three-dimensional model is sent to the server.

[1029] Input: 3D model of the user

[1030] Output: 3D model data sent to the server

[1031] Specific operation: The terminal sends the generated 3D model to the server via network communication.

[1032] Step 4:

[1033] The server uses generative artificial intelligence (AI) to simulate various hairstyles on a three-dimensional model of the user.

[1034] Input: 3D model data

[1035] Output: Simulation results for each hairstyle and hair color

[1036] What it does: The server runs the AI ​​model and performs simulations with multiple hairstyles (e.g., bob, pixie, curly) and hair colors.

[1037] Step 5:

[1038] The simulation results are sent to the terminal and displayed on the screen.

[1039] Input: Simulation result data

[1040] Output: Preview images of each hairstyle and hair color displayed on a smartphone or tablet screen

[1041] Specific operation: The application receives simulation data from the server and displays it visually.

[1042] Step 6:

[1043] The user selects the style that best suits them from the displayed multiple hairstyles and hair colors.

[1044] Input: Simulation results of multiple hairstyles and hair colors

[1045] Output: Information on the best hairstyle and hair color selected

[1046] Specific operation: The user selects the desired hairstyle and hair color using the on-screen selection interface and presses the confirm button.

[1047] These are the specific processing steps of this system, which allows users to digitally check their new hairstyle or hair color in advance, reducing risk before going to a beauty salon or barber shop for a treatment.

[1048] 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.

[1049] The present invention relates to a system that allows users to digitally preview new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration. Specific embodiments for carrying out the present invention will be described below.

[1050] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Multiple images are taken and the image data is saved on the device.

[1051] The device then receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[1052] The generated 3D model is sent to a server, which then uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. For example, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[1053] Next, the server further uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, blonde, brunette, red, etc., and generates different hair color variations for all hairstyles.

[1054] The simulation results are sent to the device, which then displays the simulated combinations of multiple hairstyles and hair colors on the screen. At this time, the emotion engine works to recognize the user's emotions from their facial expressions and tone of voice, and evaluates how the user feels about the simulation results.

[1055] The device sends the information to the server based on the emotion data recognized by the emotion engine. The server analyzes the emotion engine data and suggests options that will satisfy the user. These suggestions are then sent back to the device, where the optimal hairstyle and hair color are displayed.

[1056] For example, a user takes a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a favorable sentiment toward a particular hairstyle or hair color, suggestions are made based on that information.

[1057] This invention allows users to try new hairstyles and hair colors without risk, and emotional suggestions allow for more satisfying choices. It also allows hairdressers and beauticians to perform their hair treatments more accurately. By introducing this invention to beauty salons and barbershops across the country, it will be possible to easily suggest new styles to many customers.

[1058] The processing flow will be explained below.

[1059] Step 1:

[1060] The user takes an image of their face and head using the camera of their smartphone or tablet. Multiple images (e.g., 10 images) are taken and the image data is saved on the device.

[1061] Step 2:

[1062] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[1063] Step 3:

[1064] The generated 3D model is sent to the server, which then begins processing based on the received 3D model.

[1065] Step 4:

[1066] The server uses generative artificial intelligence to simulate multiple hairstyles for the 3D model. Specifically, hairstyles such as bob, pixie, and curly are applied in sequence, and each hairstyle is reflected in the 3D model.

[1067] Step 5:

[1068] The server then uses generative artificial intelligence to simulate multiple hair colors for the simulated hairstyle model, for example, applying hair colors such as blonde, brunette, and red to each hairstyle, thereby generating different hair color variations for all hairstyles.

[1069] Step 6:

[1070] The simulation results are sent to the terminal. Data including the simulated combinations of multiple hairstyles and hair colors is transferred to the terminal.

[1071] Step 7:

[1072] The device then displays the simulation results on the screen, allowing the user to visually check multiple options for hairstyles and hair colors that suit them.

[1073] Step 8:

[1074] The device uses an emotion engine to analyze the user's facial expressions and tone of voice in response to the displayed simulation results, and evaluates how the user feels about each simulation. This emotion data is acquired in real time.

[1075] Step 9:

[1076] The terminal transmits the acquired emotion data to the server. The emotion data includes the positive and negative emotions expressed by the user regarding the simulation results.

[1077] Step 10:

[1078] The server analyzes the received emotional data, identifies the hairstyle and hair color simulation to which the user responded most favorably, and generates data for proposing the hairstyle and hair color that are considered to be optimal based on the results.

[1079] Step 11:

[1080] The server sends to the terminal data proposing the optimal hairstyle and hair color based on the analysis results.

[1081] Step 12:

[1082] The device will then display the simulation results based on the proposed data, allowing the user to confirm and decide on the final selection. This process allows the user to select the optimal style that reflects the emotional data.

[1083] This allows users to try new hairstyles and hair colors without any risk, and emotional suggestions help them make more satisfying choices.

[1084] Example 2

[1085] 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."

[1086] Conventional hairstyle and hair color simulation systems allow users to digitally preview their hairstyle or hair color before actually changing it, but often do not provide appropriate suggestions that take the user's emotions into consideration. As a result, users may be dissatisfied with the simulation results and regret changing their hairstyle or hair color. The present invention aims to solve these problems and provide suggestions for hairstyles and hair colors that users will be emotionally satisfied with.

[1087] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for acquiring an image of the user, means for generating a three-dimensional model of the user based on the acquired image, means for simulating multiple hairstyles for the generated three-dimensional model using generative artificial intelligence, means for simulating multiple hair colors for the simulated hairstyle, means for displaying the simulation results and analyzing the user's emotions, and means for suggesting an optimal hairstyle and hair color combination based on the user's emotional data. This allows the user to check detailed simulation results before changing their hairstyle or hair color, and further receive optimal suggestions based on their own emotions.

[1088] "Means for acquiring an image of the user" refers to a device or software that allows the user to take an image of their face or head and provide that data to the system.

[1089] The "means for generating a three-dimensional model of the user based on the acquired images" is software for creating a three-dimensional digital model of the user from multiple two-dimensional images taken by a camera.

[1090] "Means for simulating multiple hairstyles for a generated three-dimensional model using generative artificial intelligence" is a function that utilizes generative artificial intelligence to virtually apply various hairstyles to a generated three-dimensional model and display the results.

[1091] The "means for simulating multiple hair colors for a simulated hairstyle" is a function that sequentially applies different hair colors to a hairstyle simulated by generative artificial intelligence and displays the results.

[1092] The "means for displaying simulation results and analyzing the user's emotions" refers to emotion recognition software that displays the simulation results on a display and analyzes the user's facial expressions, voice, etc.

[1093] The "means for proposing the optimal hairstyle and hair color combination based on the user's emotional data" is a function in which the system analyzes the acquired emotional data of the user and automatically suggests the hairstyle and hair color combination that the user will be most satisfied with.

[1094] The present invention is a system that allows users to digitally check new hairstyles and hair colors in advance, and by combining it with an emotion engine, it proposes optimal hairstyles and hair colors that take the user's emotions into consideration.

[1095] First, the user takes an image of their face and head using the camera on their smartphone or tablet. Typically, multiple images are taken from multiple angles, and the image data is saved on the device. This is typically done using a camera app on the smartphone or tablet.

[1096] The device then uses the stored image data to generate a 3D model of the user using 3D modeling software (e.g., Blender or 3D scanner software). This 3D model is a three-dimensional digital model of the user's face and head, automatically constructed from multiple captured images.

[1097] The generated 3D model is sent to a server, which then uses a generative AI model (e.g., a deep learning-based GAN - Generative Adversarial Network) to simulate multiple hairstyles based on the received 3D model. Specifically, hairstyles such as bob, pixie, and curly are sequentially applied to the 3D model.

[1098] The server then uses the generative AI model to simulate multiple hair colors for each simulated hairstyle, for example, blonde, brunette, red, etc., and generates different hair color variations for every hairstyle.

[1099] The simulation results are compressed and sent to the device. The device then decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. At this time, an emotion engine (e.g., facial expression recognition software or voice recognition software) is activated to analyze emotions from the user's facial expressions and tone of voice. Emotional data is acquired in real time.

[1100] The device sends the acquired emotional data to the server, which analyzes the emotional data and identifies the hairstyle and hair color combination that the user is most satisfied with. This identified suggestion is then sent back to the device, and the optimal hairstyle and hair color are displayed on the screen.

[1101] For example, a user takes photos of their face and head from multiple angles using their smartphone camera, and the saved images are processed using 3D modeling software to generate a three-dimensional model. The server then uses the generated AI model to simulate bob, pixie, and curly hairstyles, and also applies blonde, brunette, and red hair colors. The simulation results are displayed on the device, and an emotion engine analyzes the user's facial expressions and voice. Finally, optimal suggestions are made based on the user's emotional data.

[1102] An example prompt is:

[1103] "Generate a 3D model based on the user's image, simulating the following combinations of hairstyles (bob, pixie, curly) and hair colors (blonde, brunette, red)."

[1104] "Analyze the user's facial expressions and voice to identify hairstyle and hair color combinations that they respond favorably to, and then make optimal suggestions."

[1105] This invention allows users to try new hairstyles and hair colors without risk, and can achieve high satisfaction through emotional suggestions. Furthermore, by using this system in beauty salons and barber shops, it becomes possible to easily suggest new styles to many customers.

[1106] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1107] Step 1:

[1108] The user takes images of their face and head from multiple angles using the camera on their smartphone or tablet. These images are obtained using the smartphone or tablet's camera app. The input is multiple image data, and the output is that these image data are saved on the device.

[1109] Step 2:

[1110] The device inputs the stored image data into 3D modeling software (e.g., Blender or 3D scanner software) and uses an algorithm to generate a 3D model of the user. The input is multiple image data, and the output is digital data representing the 3D model. Specific operations include processes such as image feature point extraction, triangulation, and mesh generation.

[1111] Step 3:

[1112] The terminal compresses the generated 3D model data and sends it to the server. The input is the 3D model data, and the output is the compressed data sent to the server. Specific operations include executing a data compression algorithm and transmitting the data to the server via a network.

[1113] Step 4:

[1114] The server decompresses the received 3D model data and simulates multiple hairstyles using a generative AI model (e.g., a deep learning-based GAN). The input is the decompressed 3D model data, and the output is simulated 3D model data for each hairstyle. Specific operations include running the GAN to apply hairstyle patterns to the 3D model.

[1115] Step 5:

[1116] The server further uses the generative AI model to simulate multiple hair colors for the simulated hairstyle. The input is the 3D model data after the hairstyle simulation, and the output is the 3D model data after the hair color simulation. Specific operations include a process of simulating different colors using a hair color change algorithm.

[1117] Step 6:

[1118] The server compresses all hairstyle and hair color simulation results and sends them to the terminal. The input is multiple simulation result data, and the output is the compressed data sent to the terminal. Specific operations include compressing the simulation result data and transferring it to the terminal via the network.

[1119] Step 7:

[1120] The device decompresses the received data and displays multiple simulated hairstyle and hair color combinations on the display. The input is compressed data, and the decompressed simulation results are the output. Specific operations include restoring the decompressed data to its original format and displaying it on the display.

[1121] Step 8:

[1122] The device's emotion engine uses a camera and microphone to analyze the user's facial expressions and voice in real time to obtain emotion data. The input is the user's real-time facial expression images and voice data, and the output is the analyzed emotion data. Specific operations include the process of running facial expression recognition algorithms and voice analysis algorithms.

[1123] Step 9:

[1124] The emotion data acquired by the device is sent to the server. The input is the emotion data, and the output is the emotion data sent to the server. Specific operations include the process of transferring the emotion data to the server via a network.

[1125] Step 10:

[1126] The server analyzes the emotion data and identifies the hairstyle and hair color combination that the user is most satisfied with. The input is emotion data and simulation result data, and the output is the optimal proposal. Specific operations include the process of analyzing emotion data and evaluating its correlation with the simulation results.

[1127] Step 11:

[1128] The server sends the optimal proposal to the terminal. The input is the optimal proposal data, and the output is the proposal data sent to the terminal. Specific operations include a process of transferring the proposal to the terminal via a network.

[1129] Step 12:

[1130] The device displays the optimal proposal on the display. The input is the proposal data, and the output is the optimal hairstyle and hair color combination displayed on the display. Specific operations include a process for displaying the recommended hairstyle and hair color on the display based on the received proposal data.

[1131] (Application example 2)

[1132] 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."

[1133] In conventional hairstyle simulation systems, when users try out new hairstyles or hair colors, they lack a means to emotionally evaluate the feedback on the results, which can lead to low user satisfaction.In addition, the lack of specific suggestions to help users choose the appropriate hairstyle or hair color can lead to confusion in the selection process.

[1134] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing emotions, means for proposing an optimal hairstyle and hair color based on the analyzed emotional data, and means for generating a three-dimensional model of the user. This makes it possible to propose an optimal hairstyle and hair color based on the user's emotions.

[1135] "User" refers to the entity that uses the system to simulate their own hairstyle and hair color and select the most suitable style based on the results.

[1136] "Image acquisition means" refers to the function of acquiring images of the user's face or head using a device such as a smartphone or tablet.

[1137] "Three-dimensional model generation means" refers to software or algorithms for generating a three-dimensional face and head model from a captured image of a user.

[1138] "Generative AI" refers to an AI technology that simulates multiple hairstyles and hair colors for a three-dimensional model of a user.

[1139] "Simulation means" refers to a function for applying a hairstyle and hair color to the generated three-dimensional model and displaying the results.

[1140] "Emotion analysis means" refers to technology for recognizing and analyzing emotions from a user's facial expressions and tone of voice.

[1141] The "simulation result display means" refers to a display function for visually displaying the simulated hairstyle and hair color results to the user.

[1142] "Emotional data" refers to information about emotions analyzed from a user's facial expressions, tone of voice, etc.

[1143] "Optimal suggestion means" refers to a function that suggests the most suitable hairstyle and hair color to the user based on analyzed emotional data.

[1144] This invention relates to a system that allows users to digitally check new hairstyles and hair colors in advance, and aims to propose optimal hairstyles and hair colors that take the user's emotions into consideration by combining it with an emotion engine.

[1145] System Program

[1146] This system is realized by utilizing devices such as smartphones and tablets, servers, and emotion analysis modules.

[1147] 1. User Image Acquisition:

[1148] The user takes multiple images of their face and head using the camera on their smartphone or tablet, and the image data is stored on the device.

[1149] 2. 3D model generation:

[1150] The device receives the captured image data and uses specialized software to generate a 3D model of the user, which automatically creates a three-dimensional digital model of the user's face and head based on the multiple images captured.

[1151] 3. Hairstyle and hair color simulation:

[1152] The generated 3D model is sent to a server, which uses generative artificial intelligence to simulate multiple hairstyles for the received 3D model. Furthermore, the server simulates multiple hair colors for the simulated hairstyle model.

[1153] 4. Emotion analysis:

[1154] The simulation results are sent to the device, which then displays them on the screen. At this time, the emotion engine works to recognize emotions from the user's facial expressions and tone of voice. Based on the emotion data recognized by the emotion engine, the device sends that information to the server. The server analyzes the emotion engine data and suggests options that will provide the user with the highest level of satisfaction. These suggestions are then sent back to the device, which displays the optimal hairstyle and hair color.

[1155] Hardware and software used

[1156] Hardware: Smartphones (with cameras), tablets

[1157] Software: Python, face_recognition library, emotion_recognition library, hairstyle_simulation module (tentative name)

[1158] Specific examples of processing

[1159] For example, a user can take a photo of themselves with their smartphone, and a three-dimensional model is generated. A bob hairstyle is simulated on the model, and blonde, brunette, and red colors are applied. The simulation results are displayed on the device's display, and an emotion engine analyzes the user's facial expressions and tone of voice. If the user expresses a positive emotion toward a particular hairstyle or hair color, suggestions are made based on that information, and the system presents the user with the style that best suits them.

[1160] Prompt Sentence Examples

[1161] "Simulate a scene where the user is smiling, taking a selfie, and trying out a new hairstyle and hair color."

[1162] In this way, the invention allows users to try new hairstyles and hair colors without risk, and provides satisfying choices through emotion-based suggestions.

[1163] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1164] Step 1:

[1165] The user takes multiple images of their face and head using a smartphone or tablet. The input data are the images of the user's face and head. These image data are saved on the device.

[1166] Step 2:

[1167] The device generates a 3D model based on the multiple image data acquired. Dedicated software (e.g., the face_recognition library) is used to create a 3D digital model of the user's face and head. The input data is the image data saved in step 1, and the output is a 3D model.

[1168] Step 3:

[1169] The generated 3D model is sent to the server. The terminal uploads the generated 3D model data to the server. The input data is the 3D model, and the output data is confirmation of successful transmission of the model to the server.

[1170] Step 4:

[1171] The server uses generative AI to simulate multiple hairstyles for the received 3D model. The server uses the generative AI model to apply various hairstyles to the 3D model and generate the results. The input data is the 3D model, and the output data is the simulation results when each hairstyle is applied.

[1172] Step 5:

[1173] The server simulates multiple hair colors for the simulated hairstyle model. Generative AI is again utilized to apply different hair colors depending on the hairstyle. The input data is the hairstyle simulation result, and the output data is the final simulation result with the hairstyle and hair colors applied.

[1174] Step 6:

[1175] The simulation results are sent to the terminal. The server sends the generated hairstyle and hair color simulation results to the terminal. The input data is the final simulation result, and the output data is a confirmation of the transmission to the terminal.

[1176] Step 7:

[1177] The terminal displays the transmitted simulation results on a display, allowing the user to visually check multiple hairstyle and hair color combinations. The input data are the simulation results, and the output data are the displayed images.

[1178] Step 8:

[1179] The device recognizes emotions from the user's facial expressions and tone of voice. An emotion engine (e.g., emotion_recognition library) is used to analyze the user's reactions and generate emotion data. The input data is the user's facial expressions and tone of voice, and the output data is emotion data.

[1180] Step 9:

[1181] The device sends emotion data to the server. The analyzed emotion data is uploaded to the server. The input data is the emotion data, and the output data is a confirmation of successful transmission to the server.

[1182] Step 10:

[1183] The server analyzes the emotion data and suggests the optimal hairstyle and hair color. The server uses the emotion engine data to determine the style that the user is most likely to be satisfied with. The input data is emotion data, and the output data is the optimal style suggestion data.

[1184] Step 11:

[1185] The terminal displays the optimal hairstyle and hair color suggestions sent from the server on a display, allowing the user to check and select the optimal style. The input data is the optimal style suggestion data, and the output data is the displayed suggestion.

[1186] 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.

[1187] 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.

[1188] 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.

[1189] 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.

[1190] 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.

[1191] 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.

[1192] 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).

[1193] 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.

[1194] 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."

[1195] 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.

[1196] 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).

[1197] 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.

[1198] 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.

[1199] 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.

[1200] 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.

[1201] 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.

[1202] 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.

[1203] 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.

[1204] 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.

[1205] 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.

[1206] 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.

[1207] The following is further disclosed regarding the above embodiment.

[1208] (Claim 1)

[1209] a means for acquiring an image of a user;

[1210] means for generating a three-dimensional model of the user based on the acquired images;

[1211] A means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence;

[1212] means for simulating a plurality of hair colors for the simulated hairstyle;

[1213] a means for displaying the simulation results;

[1214] A system including:

[1215] (Claim 2)

[1216] 10. The system of claim 1,

[1217] The system in which the means for generating a three-dimensional model of a user is software that generates a three-dimensional model using multiple images.

[1218] (Claim 3)

[1219] 10. The system of claim 1,

[1220] The system further includes means for allowing a user to select the simulated hairstyle and hair color.

[1221] "Example 1"

[1222] (Claim 1)

[1223] a means for acquiring an image of a user;

[1224] means for generating a three-dimensional model of the user based on the acquired images;

[1225] means for simulating a plurality of hairstyles and hair colors for the generated three-dimensional model using generative artificial intelligence;

[1226] a means for using a prompt sentence as input;

[1227] a means for displaying the simulation results;

[1228] a means for allowing a user to select a hairstyle and hair color;

[1229] A system including:

[1230] (Claim 2)

[1231] 2. The system of claim 1, wherein the means for generating a three-dimensional model of the user is software that generates a three-dimensional model using multiple images.

[1232] (Claim 3)

[1233] 10. The system of claim 1, further comprising means for allowing a user to select a hairstyle and hair color simulated using generative artificial intelligence.

[1234] "Application Example 1"

[1235] (Claim 1)

[1236] a means for acquiring an image of a user;

[1237] means for generating a three-dimensional model of the user based on the acquired images;

[1238] A means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence;

[1239] means for simulating a plurality of hair colors for the simulated hairstyle;

[1240] a means for displaying the simulation results;

[1241] In order to apply the simulation results to beauty services in real stores, a means for users to select the optimal hairstyle and hair color;

[1242] A system including:

[1243] (Claim 2)

[1244] 10. The system of claim 1, wherein the system is software that generates a three-dimensional model using multiple images.

[1245] (Claim 3)

[1246] The system of claim 1 allows users to use their smartphones in a physical store to take images of their face and head and display them as a three-dimensional model in real time.

[1247] "Example 2: Combining Emotion Engines"

[1248] (Claim 1)

[1249] a means for acquiring an image of a user;

[1250] means for generating a three-dimensional model of the user based on the acquired images;

[1251] A means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence;

[1252] means for simulating a plurality of hair colors for the simulated hairstyle;

[1253] A means for displaying the simulation results and analyzing the user's emotions;

[1254] A means for suggesting the optimal hairstyle and hair color combination based on the user's emotional data;

[1255] A system including:

[1256] (Claim 2)

[1257] 10. The system of claim 1, wherein the system is software that generates a three-dimensional model using multiple images.

[1258] (Claim 3)

[1259] 10. The system of claim 1, wherein the simulated hairstyle and hair color can be selected by the user and further the system makes suggestions based on emotional data.

[1260] "Application example 2 when combining emotion engines"

[1261] (Claim 1)

[1262] a means for acquiring an image of a user;

[1263] means for generating a three-dimensional model of the user based on the acquired images;

[1264] A means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence;

[1265] means for simulating a plurality of hair colors for the simulated hairstyle;

[1266] a means for displaying the simulation results;

[1267] A means of analyzing emotions,

[1268] A means for suggesting an optimal hairstyle and hair color based on the analyzed emotion data;

[1269] A system including:

[1270] (Claim 2)

[1271] 10. The system of claim 1, comprising software that generates a three-dimensional model using the multiple images.

[1272] (Claim 3)

[1273] 2. The system according to claim 1, wherein the emotion analyzing means includes a module for recognizing emotions from the user's facial expressions and tone of voice. [Explanation of symbols]

[1274] 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 acquiring an image of a user; means for generating a three-dimensional model of the user based on the acquired images; A means for simulating a plurality of hairstyles for the generated three-dimensional model using generative artificial intelligence; means for simulating a plurality of hair colors for the simulated hairstyle; a means for displaying the simulation results; A system including:

2. 10. The system of claim 1, The system in which the means for generating a three-dimensional model of a user is software that generates a three-dimensional model using multiple images.

3. 10. The system of claim 1, The system further includes means for allowing a user to select the simulated hairstyle and hair color.

Images