system

Abstract

We provide the system. [Solution] A means of inputting and analyzing animal characteristic data, A means for generating optimal spatial arrangement and color design based on the visual and sensory perception of animals, A means of providing a virtual experience by 3D modeling the generated spatial arrangement and color design, A means of re-analyzing spatial design based on user feedback, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional space designs have focused on the human perspective and senses, and have rarely considered the comfort for animals, especially dogs. Therefore, there is a problem that spaces are often created where animals feel stressed or uncomfortable. The purpose of this invention is to solve such problems by enabling a space design based on the vision and senses of animals and providing a comfortable living space for animals.

Means for Solving the Problems

[0005] This invention provides means for inputting and analyzing animal characteristic data to design spaces that are responsive to the vision and senses of animals. It also includes means for generating optimal spatial arrangements and color schemes from the analysis results, and then providing these as virtual experiences using 3D modeling technology. This allows users to experience the space from an animal's perspective and make further adjustments based on feedback. By combining these means, it becomes possible to efficiently design and provide animal-friendly spaces.

[0006] "Animal characteristic data" refers to information about an animal's senses and responses, such as its species, age, personality, visual characteristics, olfactory characteristics, and auditory characteristics.

[0007] "Means of analysis" refers to devices or programs that have the function of evaluating and analyzing stress factors and comfort elements in a space based on animal characteristic data.

[0008] "Spatial arrangement" refers to design elements that indicate the relative positions and configurations of furniture, obstacles, passageways, etc., within a room or facility.

[0009] "Color design" refers to the arrangement of colors and light to create a composition that produces specific visual effects or psychological impacts.

[0010] "3D modeling" refers to the technique of creating three-dimensional shapes on a computer and visually simulating their physical properties and visual effects.

[0011] "Virtual experience" refers to providing users with interactive simulations that they experience within a computer-generated environment.

[0012] "Feedback" refers to evaluations and opinions from users, and is information used to adjust and improve the system. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing apparatus and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing apparatus and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing apparatus and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing apparatus and a robot according to the fourth embodiment. [Figure 9] Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the 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.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and 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.

[0027] 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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a spatial design support system that takes into account the vision and senses of animals, particularly dogs, and aims to provide a comfortable environment for animals. Specific embodiments of the system described below are explained below.

[0035] The system mainly consists of terminals and servers.

[0036] The user uses a device to input layout data for the space they want to design, as well as characteristic data for animals. This characteristic data includes breed, age, visual characteristics (such as color vision), and sensitivity to smell and hearing.

[0037] The server performs analysis based on data received from the user, taking into account the visual and sensory characteristics of animals. This identifies stressors and comfort factors in the space and generates the optimal spatial layout and color design.

[0038] Specifically, the system calculates color schemes and visually calming arrangements that animals prefer, and then creates a design plan based on these calculations. This plan is then generated as a 3D model and provided to the user.

[0039] For example, if the user inputs a living room as the space and the pet is a Labrador Retriever, the server will suggest a layout that uses calming colors and ensures smooth movement, taking into account the characteristics of this breed. Through this 3D model, the user can virtually experience the space from the animal's perspective.

[0040] Users can provide feedback to the server regarding specific placement and color schemes based on the provided 3D model. The server receives this feedback, performs another analysis, and generates new suggestions.

[0041] Thus, the system of the present invention can support animal-friendly spatial design and provide a highly convenient design process for users.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user uses a terminal to input layout data for the space they want to design and sends it to the server. They also input characteristic data of their pets (breed, age, visual characteristics, etc.) at the same time.

[0045] Step 2:

[0046] The server analyzes layout data and animal characteristic data received from the user to identify stressors based on the animals' specific visual and sensory perceptions. For example, it evaluates whether certain color combinations or furniture arrangements are unpleasant for the animals.

[0047] Step 3:

[0048] Based on the analysis results, the server generates the most comfortable spatial arrangement and color scheme for the animals. At this stage, ideal furniture placement and color scheme guidelines are created.

[0049] Step 4:

[0050] The server creates a 3D model from the generated design and sends it to the user's terminal. The user can then use this 3D model to virtually experience the space from an animal's perspective.

[0051] Step 5:

[0052] Based on the 3D models they experience, users input feedback on placement and design from their devices to the server. This provides room for users' preferences and opinions to be reflected in the design.

[0053] Step 6:

[0054] The server receives user feedback and re-analyzes and adjusts the design based on the new information. This allows it to present the user with a further optimized design proposal.

[0055] (Example 1)

[0056] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0057] In modern animal husbandry environments, designing optimal spaces based on animals' vision and senses is crucial for reducing stress and providing a more comfortable living environment. However, conventional design methods have faced challenges in adequately considering the characteristics of animals when designing spatial arrangements and color schemes.

[0058] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0059] In this invention, the server includes means for acquiring animal characteristic data via an information processing device and analyzing that data, means for automatically generating an optimal spatial arrangement and color design based on the animal's vision and senses, and means for providing a virtual experience as a three-dimensional model of the generated spatial arrangement and color design using a generated AI model. This makes it possible to efficiently perform spatial design based on animal characteristics.

[0060] An "information processing device" is a computer or digital device that is responsible for the process of acquiring and analyzing animal characteristic data.

[0061] "Characteristic data" refers to information that describes the specific characteristics of an individual animal, such as its visual characteristics, sensory characteristics, age, and species.

[0062] "Analysis" is the process of performing detailed calculations and evaluations based on acquired characteristic data to design a space suitable for animals.

[0063] "Optimal spatial arrangement" refers to the arrangement of physical or digital spaces designed to allow animals to live comfortably.

[0064] "Color design" refers to the combination and arrangement of colors selected based on the visual characteristics of animals.

[0065] A "generative AI model" is an algorithm or model that uses artificial intelligence to propose the optimal design for an animal based on data.

[0066] A "three-dimensional model" is a virtual spatial model displayed three-dimensionally on a computer, enabling users to experience it visually.

[0067] "Virtual experience" is a technology that allows users to virtually experience a real space through a three-dimensional model.

[0068] "Feedback" refers to specific opinions and requests provided by users, and is information used to improve and adjust the system.

[0069] This invention is a system for designing comfortable spaces that take into account the characteristics of animals. This system mainly consists of an information processing device, a user terminal, and an analysis server. Specifically, it is implemented as follows.

[0070] Users use a terminal to input animal characteristic data through a specific interface. This data includes breed, age, visual characteristics, and sensitivity of smell and hearing. This data is entered on the terminal and transmitted to a server via the network.

[0071] The server analyzes the received data using a high-performance processor and dedicated software. The analysis utilizes a generative AI model to generate optimal spatial arrangements and color designs based on the animals' characteristics. This automatically determines color schemes and layouts that ensure the animals' comfort.

[0072] The generated design plan is provided to the user as a three-dimensional model. This model is displayed on the device, allowing the user to virtually experience the space from an animal's perspective. This process enables the user to visually consider animal-friendly spatial designs.

[0073] For example, if a user wants to design a living room with calming colors and a well-designed layout for a Labrador Retriever, the server will consider the specific sensory characteristics of this breed and propose the optimal layout. By using a prompt such as, "Design a calm and relaxing living room for a Labrador Retriever," the generative AI model can provide the best possible suggestions.

[0074] Users can send feedback to the server regarding placement and color based on the provided 3D model. The server then re-analyzes this feedback and generates more refined suggestions. This allows users to go through an iterative design process to create a space suitable for animals.

[0075] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0076] Step 1:

[0077] The user uses a terminal to input animal characteristic data and layout information for the space to be designed. This input includes breed, age, visual characteristics, and olfactory and auditory sensitivities. This data is entered via a dedicated interface on the terminal and transmitted to the server in digital format.

[0078] Step 2:

[0079] The server receives characteristic data and layout information sent by the user. The received data is stored in the server's database. The server starts the initial analysis and prepares to supply the data to the generating AI model. At this stage, the input is characteristic data, and the output is data converted into a format for the initial analysis.

[0080] Step 3:

[0081] The server uses a generative AI model to automatically generate spatial arrangements and color designs based on animal characteristics. The AI ​​model considers visual and sensory characteristics to calculate color schemes and layouts that will make animals comfortable. The input is the data prepared in step 2, and the output is digital data as a design plan.

[0082] Step 4:

[0083] The generated design plan is converted into a three-dimensional model by the server. This three-dimensional model is then sent to the terminal for the user to visually review. The input is the digital data of the design plan, and the output is model data optimized for three-dimensional display.

[0084] Step 5:

[0085] Users view a three-dimensional model through their device and have a virtual experience from the animal's perspective. Based on the model, users consider the optimal placement and colors for the animal and send feedback from their device to the server. The input is the result of the user's actions, and the output is the digital information of the feedback.

[0086] Step 6:

[0087] The server re-analyzes the data based on the feedback received from the user. This feedback information is then re-inputted into the generating AI model to update the design plan. The input consists of the feedback information and the previous design plan, and the output is an improved design proposal.

[0088] Step 7:

[0089] The improved design plan is regenerated as a 3D model and provided to the user. The user can review the new model and make further adjustments as needed. The input is the improved design proposal, and the output is the final 3D model.

[0090] (Application Example 1)

[0091] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0092] In the current situation, there is insufficient consideration given to the visual and sensory needs of animals, particularly dogs, when designing living spaces. This makes it difficult to provide animals with a comfortable and stress-free environment. Furthermore, the inability to immediately identify and implement optimal spatial designs from an animal's perspective in stores and facilities hinders improvements in animal welfare.

[0093] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0094] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for generating optimal spatial arrangement and color scheme based on the animal's vision and senses, and means for performing real-time analysis and visual instructions in the real space using a visual device. This enables the rapid and effective provision of a comfortable and stress-free space for animals, and allows users to intuitively adjust the spatial design from the animal's perspective.

[0095] "Means for inputting and analyzing animal characteristic information" refers to a function that acquires information about animals, including animal species, sensory characteristics, and visual characteristics, and analyzes that data to determine the optimal environmental conditions for the animals.

[0096] "Means for generating optimal spatial arrangements and color schemes based on animal vision and senses" refers to a function that designs spatial configurations and color schemes that animals find comfortable, based on their visual and sensory characteristics.

[0097] "A means of providing a virtual experience by three-dimensional modeling the generated spatial arrangement and color scheme" refers to a function that models the designed space and colors in three dimensions and provides the user with a virtual experience of that environment.

[0098] "Means of performing real-time analysis and visual instructions in real space using visual devices" refers to a function that uses visual devices such as smart glasses or headsets to analyze real space in real time and provide visual instructions to the user.

[0099] "A means of reanalyzing spatial design based on user feedback" refers to a function that reviews and reanalyzes existing spatial designs based on user opinions and requests for improvement, and reflects the results of that reanalysis.

[0100] To realize this invention, a server is first used as a hub to store animal characteristic information in a storage device. This includes animal species and visual, olfactory, and auditory characteristics. Based on this information, the server calculates the optimal spatial arrangement and color scheme to ensure the animals can live comfortably in a specific space. Advanced data analysis algorithms are used for the calculations.

[0101] The server uses OpenCV, an open-source image processing library, to analyze real-time video from a visual device. This device is a pair of smart glasses worn by the user as they move through real-world space. The visual device captures the real-world space and sends the data to the server. Based on this data, the server instantly provides analysis results and displays visual instructions to the user.

[0102] Through this system, users evaluate spatial designs from an animal's perspective and send feedback to the server. This feedback includes requests such as, "This color scheme should be a bit more subdued." The server then re-analyzes the design based on this feedback and generates new design proposals. This ensures that optimal environmental conditions for animals are constantly maintained.

[0103] As a concrete example, if you want to design a comfortable space for Labrador Retrievers in a pet shop, you would wear smart glasses and walk around the store. The images captured by the visual device are sent to a server, which evaluates the layout, including movement patterns and lighting, in real time to ensure it is suitable for animals. Based on this, the server would then present the glasses with an instruction to "incorporate a more gentle blue carpet" as a suggestion for improvement.

[0104] An example of a prompt might be, "Analyze the current layout of the pet shop and propose a comfortable spatial arrangement suitable for Labrador Retrievers."

[0105] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0106] Step 1:

[0107] The server analyzes the animal's characteristics information received from the terminal. This information includes the animal's species, age, and visual characteristics. Based on the input data, the server calculates the ideal environmental parameters for the animal and determines the base configuration.

[0108] Step 2:

[0109] The user walks around in the real world using smart glasses. The device continuously captures video of the surrounding space with its built-in camera and sends the data to a server. This video feed serves as input data for analysis.

[0110] Step 3:

[0111] The server processes the received video data using OpenCV to extract information such as the colors and layout of the space. This process evaluates the color distribution and movement patterns that would make animals feel comfortable, and identifies areas for improvement in real time. The output is a visual guideline representing a desirable design for animals.

[0112] Step 4:

[0113] Users attempt to adjust their spatial awareness in the real world while referring to visual guidelines displayed on their glasses. If they feel improvements are needed, they send feedback to the server via voice or touch. This feedback then serves as input for the next analysis.

[0114] Step 5:

[0115] The server receives feedback and reanalyzes the spatial design using a generated AI model. This process creates an improved version that includes new design data and presents the user with updated visual guidelines. As a result, the output becomes an even more refined environmental proposal.

[0116] Step 6:

[0117] The user makes a final review of the proposed layout and color scheme, and provides further feedback as needed. This cyclical process ensures that the ideal spatial arrangement is achieved, creating an environment that satisfies both animals and users.

[0118] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0119] This invention is a system that incorporates an emotion engine into a spatial design system based on animal vision and senses, which recognizes and reflects the user's emotions. The following describes how the system is specifically implemented.

[0120] The system consists of a terminal, a server, and an emotion engine. The user uses the terminal to input layout data for the space they want to design. At the same time, they also input animal characteristic data, which includes the animal's visual, olfactory, and auditory characteristics. The server receives this data and starts the process of generating a spatial arrangement and color design optimized for the animal.

[0121] The server also receives real-time emotion data from the emotion engine built into the terminal. This emotion engine analyzes biometric data such as the user's voice, facial expressions, and heart rate to recognize the user's emotions. For example, it can determine whether the user is relaxed or excited.

[0122] The server incorporates the received user's emotional data into its analysis results and proposes a comfortable space design not only for animals but also for users. This proposal is generated as a 3D model, reflecting a spatial design that allows users to feel emotionally secure and happy.

[0123] For example, if a user designs their living room, the server will generate a spatial design optimized for a Labrador Retriever, and simultaneously, based on data from the emotion engine, will consider color schemes and layouts that will help the user relax, and then provide a final design proposal. Based on this, the user can experience the space in a 3D model and consider the design in a way that closely resembles actual use.

[0124] Users can submit feedback based on the 3D model they experienced, and the server uses this feedback to re-analyze the spatial design and present an even more optimized design. This process makes it possible to create a comfortable space for both animals and users.

[0125] The following describes the processing flow.

[0126] Step 1:

[0127] The user inputs layout data for the space they want to design and animal characteristic data on their device and sends it to the server. By specifying the purpose of the space design (e.g., relaxation space, activity space), data related to emotions is also taken into consideration.

[0128] Step 2:

[0129] The server analyzes the received layout data and animal characteristic data to prepare for generating the optimal spatial arrangement and color design for the animals. The analysis takes into account the animals' visual and olfactory characteristics and identifies factors that cause stress.

[0130] Step 3:

[0131] The emotion engine built into the device acquires the user's facial expressions, voice, heart rate, and other data in real time to analyze the user's emotions. This data is sent to a server, where the user's emotional state is taken into consideration.

[0132] Step 4:

[0133] The server integrates analysis results based on the animal's sensory characteristics with user emotion data obtained from the emotion engine to generate a comfortable spatial design for both the animal and the user. In this process, it designs colors and arrangements that promote the user's ideal emotional state (e.g., a relaxed state).

[0134] Step 5:

[0135] The server provides the generated design to the terminal as a virtual space through 3D modeling. Using this 3D model, users can virtually experience a space from an animal's perspective or a space tailored to their own emotions.

[0136] Step 6:

[0137] Users review the 3D design they experienced and provide feedback based on their emotional or animal reactions. This feedback is then sent back to the server.

[0138] Step 7:

[0139] Based on user feedback, the server re-analyzes the design and optimizes placement and color schemes as needed. This provides users with an even more refined spatial design.

[0140] (Example 2)

[0141] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0142] Spatial design based on animal characteristics requires improving comfort not only for the animals themselves but also for their coexistence with humans. However, conventional design methods have faced the challenge of not being able to optimize spaces while fully considering the visual and sensory characteristics of animals. Furthermore, adjusting designs to take into account the emotional state of users requires individual consideration and has been difficult with conventional technologies.

[0143] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0144] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for creating a three-dimensional model of the generated spatial arrangement and color design to provide a virtual reality experience, and means for analyzing the user's emotional state and integrating it into the design in real time. This makes it possible to propose a comfortable spatial design that takes into account the characteristics of the animals and the emotions of the user.

[0145] "Animal characteristic information" refers to data about the ecology of animals and their sensory characteristics such as sight, smell, and hearing, and is information used when designing spaces.

[0146] "Analysis" is the process of performing calculations and evaluations based on input data to derive specific results or conclusions.

[0147] "Optimal spatial arrangement" refers to the arrangement of spaces designed to provide the most comfortable and safe environment for both animals and humans.

[0148] "Color design" is the process of planning the selection and arrangement of colors to be used in a space in order to achieve visual comfort.

[0149] "Three-dimensional modeling" is the process of recreating a space in three dimensions on a computer, making it a form that can be visually confirmed.

[0150] "Virtual reality experience" is a technology that uses digital technology to provide users with an experience that makes them feel as if they are in the real world.

[0151] "Integrating into design in real time" is the process of instantly reflecting user emotions and applying them to the design.

[0152] "Feedback" refers to evaluations and opinions provided by users, and is information used to improve and adjust the system.

[0153] One embodiment of the present invention is a system that designs a space based on animal characteristics and optimizes the design according to the user's emotions. This is realized with three main components: a terminal, a server, and an emotion engine.

[0154] First, the user inputs the spatial layout to be designed via a terminal. The terminal is equipped with an interface for inputting data on the sensory characteristics of animals, such as sight, smell, and hearing. Users can input in natural language by using prompts such as, "I want to design a spatial layout for a Labrador Retriever."

[0155] The terminal then sends the entered layout information to the server. The server used is equipped with high-performance computing software and utilizes a generative AI model to analyze the data. Based on the animal's characteristic data, the server executes a process to generate the optimal spatial arrangement and color design.

[0156] Furthermore, the server also receives real-time emotional data from the emotion engine built into the terminal. This emotion engine has the ability to analyze biometrics such as the user's voice, facial expressions, and heart rate. This allows the server to understand the user's emotional state, such as whether they are relaxed or excited, and reflect this in the design.

[0157] As a concrete example, consider a scenario where a user designs their living room for a Labrador Retriever. The server generates a spatial design suitable for a Labrador Retriever and, based on analysis data from an emotion engine, provides design suggestions including color schemes and layouts that enhance the user's sense of relaxation. The resulting design is presented to the user as a three-dimensional model, allowing the user to visually confirm the design through a virtual reality experience.

[0158] This system makes it possible to create a comfortable and harmonious space design for both animals and users.

[0159] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0160] Step 1:

[0161] The user uses a terminal to input layout data for the space they want to design. This input also includes animal characteristic data. Specifically, the user inputs data in the format of "I want to design a space layout for a Labrador Retriever" using prompts. The input data is organized by the terminal and prepared to be sent to the server.

[0162] Step 2:

[0163] The terminal sends the received layout data and animal characteristic data to the server. The transmitted data undergoes format conversion and is processed into a form that is easy for the server to analyze. This ensures data consistency and allows for a smooth transition to the next analysis process.

[0164] Step 3:

[0165] The server analyzes the received data and uses a generative AI model to generate spatial arrangements and color designs optimized for animals. This process computationally extracts the most suitable colors and layouts based on the visual and olfactory characteristics of the input animal. The output is generated as a virtual color design and spatial arrangement.

[0166] Step 4:

[0167] The emotion engine built into the device collects real-time data such as the user's voice, facial expressions, and heart rate, analyzes it, and sends it to a server. This data is used to determine the user's emotional state. The analysis results from the emotion engine quantify and convert the user's emotions into data.

[0168] Step 5:

[0169] The server integrates user emotional data into the spatial design. The collected emotional data is used to identify colors and layouts that promote user relaxation. By incorporating this into the design, a comfortable space for the user is considered. The output is presented as a final spatial design proposal that reflects the user's emotions.

[0170] Step 6:

[0171] The server generates a 3D model of the final spatial arrangement and color design and sends it to the terminal. The user can visually confirm this 3D model through the terminal and experience the design most intuitively through a virtual reality experience.

[0172] Step 7:

[0173] Users experience the 3D model and then send feedback from their device. This feedback, including user satisfaction and desired adjustments, is sent to the server as material for analysis in the next process.

[0174] Step 8:

[0175] The server reanalyzes the spatial design based on user feedback, makes necessary adjustments, and generates a further optimized design. This output is presented as an improved spatial design proposal that better matches the user's requirements and expectations.

[0176] (Application Example 2)

[0177] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0178] In spaces where animals and humans coexist, there is a need for technology that can provide an optimal environment that takes into account the physiological characteristics of animals and the emotional state of users. However, current technology struggles to simultaneously satisfy the needs of both animals and humans, and in particular, it lacks customization based on real-time changes in emotions.

[0179] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0180] In this invention, the server includes means for inputting and analyzing animal characteristic data, means for analyzing user emotions and reflecting them in the spatial arrangement, and means for optimizing the space in a real store environment for both users and animals. This makes it possible to provide a spatial design that simultaneously satisfies the physiological characteristics of animals and the emotional state of users in real time.

[0181] "Animal characteristic data" refers to information about the sensory characteristics of animals, such as sight, smell, and hearing, and data that shows the spatial use and behavioral characteristics specific to that animal species.

[0182] "Analysis" refers to the process of thoroughly analyzing input data to derive the optimal design and conditions.

[0183] "Optimal spatial arrangement based on visual and sensory perception" refers to the arrangement of spaces designed to harmonize with the sensory characteristics of animals, such as their sight, smell, and hearing.

[0184] "Color design" is the process of devising color combinations and arrangements for a specific purpose or subject, and providing the resulting design.

[0185] "3D modeling" is a technique that uses computers to create models of objects in three-dimensional space, enabling spatial experiences in virtual environments.

[0186] "Feedback" refers to opinions and reactions received from users, and is information used to improve the design and functionality of a system.

[0187] "Emotional analysis" is the process of processing biometric data such as the user's voice, facial expressions, and heart rate to recognize and analyze their emotional state.

[0188] The "physical store environment" refers to the environment within a commercial facility that exists as a physical space, and its purpose is to optimize the customer experience and comfort within that environment.

[0189] The system for implementing this invention analyzes animal and user characteristic data in real time and proposes the optimal spatial arrangement. Specifically, the system consists of a server, a terminal, an emotion analysis engine, and a spatial arrangement module.

[0190] The server receives characteristic data related to the animal's vision, smell, and hearing from the terminal and generates an optimal spatial design for the animal based on this data. The emotion analysis engine analyzes the user's emotional state using biometric data from the user, such as voice, facial expressions, and heart rate. Existing technologies such as Amazon Rekognition and Microsoft® Azure® Face API can be used for this analysis.

[0191] Furthermore, the spatial placement module combines user emotional data and animal characteristic data to propose methods for optimizing space in a physical store environment. This proposal is made in real time and can be quickly viewed by the user through smart glasses. The user can visually experience the spatial design within the physical store through the provided 3D model and provide feedback as needed.

[0192] As a concrete example, this system can be used in a pet shop. Shop staff wear smart glasses and walk around the store, recognizing customers' emotions from their facial expressions and voices. Based on this data, they can suggest product placement and spatial design suitable for animals, creating a comfortable shopping environment for customers.

[0193] Examples of prompts include, "What emotional changes can be observed from this customer's facial expressions and behavior?" and "Please suggest a store layout that is comfortable for both animals and humans." These prompts are in a text format that is useful for analysis using generative AI models.

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The device receives animal characteristic data and user biometric data (voice, facial expressions, heart rate, etc.) as input. This data is collected, converted to a digital format, and sent to a server. The smart glasses' camera and microphone are used in this data collection step.

[0197] Step 2:

[0198] The server receives animal characteristic data transmitted from the terminal and generates a spatial design suitable for the animal. It analyzes the animal's visual, olfactory, and auditory data to calculate the optimal spatial arrangement and color design. The input is animal characteristic data, and the output is a prototype of the spatial design.

[0199] Step 3:

[0200] The server performs emotion analysis using the user's biometric data sent from the terminal. It analyzes the user's emotional state (e.g., relaxed, excited) using Amazon Rekognition or Microsoft Azure Face API. The input is the user's biometric data, and the output is data representing the emotional state.

[0201] Step 4:

[0202] The server compares and analyzes spatial designs suitable for animals with data on the user's emotional state. Based on this analysis, it generates spatial proposals suitable for both and sends the optimized design to the terminal in real time. The output is the spatial design as a 3D model.

[0203] Step 5:

[0204] Users review the spatial design visually presented through their device and provide feedback as needed. This feedback is then sent back to the server and used to further optimize the spatial design. The input is the user's feedback, and the output is the improved spatial design.

[0205] Step 6:

[0206] The server reanalyzes the spatial design based on user feedback and provides an updated, optimized spatial layout. This results in a spatial design suitable for both animals and users. The output is the final optimized spatial design.

[0207] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0208] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0209] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0210] [Second Embodiment]

[0211] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0212] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0213] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0214] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0215] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0216] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0217] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0218] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0219] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0220] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0221] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0222] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. 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".

[0223] This invention is a spatial design support system that takes into account the vision and senses of animals, particularly dogs, and aims to provide a comfortable environment for animals. Specific embodiments of the system described below are explained below.

[0224] The system mainly consists of terminals and servers.

[0225] The user uses a device to input layout data for the space they want to design, as well as characteristic data for animals. This characteristic data includes breed, age, visual characteristics (such as color vision), and sensitivity to smell and hearing.

[0226] The server performs analysis based on data received from the user, taking into account the visual and sensory characteristics of animals. This identifies stressors and comfort factors in the space and generates the optimal spatial layout and color design.

[0227] Specifically, the system calculates color schemes and visually calming arrangements that animals prefer, and then creates a design plan based on these calculations. This plan is then generated as a 3D model and provided to the user.

[0228] For example, if the user inputs a living room as the space and the pet is a Labrador Retriever, the server will suggest a layout that uses calming colors and ensures smooth movement, taking into account the characteristics of this breed. Through this 3D model, the user can virtually experience the space from the animal's perspective.

[0229] Users can provide feedback to the server regarding specific placement and color schemes based on the provided 3D model. The server receives this feedback, performs another analysis, and generates new suggestions.

[0230] Thus, the system of the present invention can support animal-friendly spatial design and provide a highly convenient design process for users.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The user uses a terminal to input layout data for the space they want to design and sends it to the server. They also input characteristic data of their pets (breed, age, visual characteristics, etc.) at the same time.

[0234] Step 2:

[0235] The server analyzes layout data and animal characteristic data received from the user to identify stressors based on the animals' specific visual and sensory perceptions. For example, it evaluates whether certain color combinations or furniture arrangements are unpleasant for the animals.

[0236] Step 3:

[0237] Based on the analysis results, the server generates the most comfortable spatial arrangement and color scheme for the animals. At this stage, ideal furniture placement and color scheme guidelines are created.

[0238] Step 4:

[0239] The server creates a 3D model from the generated design and sends it to the user's terminal. The user can then use this 3D model to virtually experience the space from an animal's perspective.

[0240] Step 5:

[0241] Based on the 3D models they experience, users input feedback on placement and design from their devices to the server. This provides room for users' preferences and opinions to be reflected in the design.

[0242] Step 6:

[0243] The server receives user feedback and re-analyzes and adjusts the design based on the new information. This allows it to present the user with a further optimized design proposal.

[0244] (Example 1)

[0245] Next, we will describe Example 1. 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."

[0246] In modern animal husbandry environments, designing optimal spaces based on animals' vision and senses is crucial for reducing stress and providing a more comfortable living environment. However, conventional design methods have faced challenges in adequately considering the characteristics of animals when designing spatial arrangements and color schemes.

[0247] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0248] In this invention, the server includes means for acquiring animal characteristic data via an information processing device and analyzing that data, means for automatically generating an optimal spatial arrangement and color design based on the animal's vision and senses, and means for providing a virtual experience as a three-dimensional model of the generated spatial arrangement and color design using a generated AI model. This makes it possible to efficiently perform spatial design based on animal characteristics.

[0249] An "information processing device" is a computer or digital device that is responsible for the process of acquiring and analyzing animal characteristic data.

[0250] "Characteristic data" refers to information that describes the specific characteristics of an individual animal, such as its visual characteristics, sensory characteristics, age, and species.

[0251] "Analysis" is the process of performing detailed calculations and evaluations based on acquired characteristic data to design a space suitable for animals.

[0252] "Optimal spatial arrangement" refers to the arrangement of physical or digital spaces designed to allow animals to live comfortably.

[0253] "Color design" refers to the combination and arrangement of colors selected based on the visual characteristics of animals.

[0254] A "generative AI model" is an algorithm or model that uses artificial intelligence to propose the optimal design for an animal based on data.

[0255] A "three-dimensional model" is a virtual spatial model displayed three-dimensionally on a computer, enabling users to experience it visually.

[0256] "Virtual experience" is a technology that allows users to virtually experience a real space through a three-dimensional model.

[0257] "Feedback" refers to specific opinions and requests provided by users, and is information used to improve and adjust the system.

[0258] This invention is a system for designing comfortable spaces that take into account the characteristics of animals. This system mainly consists of an information processing device, a user terminal, and an analysis server. Specifically, it is implemented as follows.

[0259] Users use a terminal to input animal characteristic data through a specific interface. This data includes breed, age, visual characteristics, and sensitivity of smell and hearing. This data is entered on the terminal and transmitted to a server via the network.

[0260] The server analyzes the received data using a high-performance processor and dedicated software. The analysis utilizes a generative AI model to generate optimal spatial arrangements and color designs based on the animals' characteristics. This automatically determines color schemes and layouts that ensure the animals' comfort.

[0261] The generated design plan is provided to the user as a three-dimensional model. This model is displayed on the device, allowing the user to virtually experience the space from an animal's perspective. This process enables the user to visually consider animal-friendly spatial designs.

[0262] For example, if a user wants to design a living room with calming colors and a well-designed layout for a Labrador Retriever, the server will consider the specific sensory characteristics of this breed and propose the optimal layout. By using a prompt such as, "Design a calm and relaxing living room for a Labrador Retriever," the generative AI model can provide the best possible suggestions.

[0263] Users can send feedback to the server regarding placement and color based on the provided 3D model. The server then re-analyzes this feedback and generates more refined suggestions. This allows users to go through an iterative design process to create a space suitable for animals.

[0264] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0265] Step 1:

[0266] The user uses a terminal to input animal characteristic data and layout information for the space to be designed. This input includes breed, age, visual characteristics, and olfactory and auditory sensitivities. This data is entered via a dedicated interface on the terminal and transmitted to the server in digital format.

[0267] Step 2:

[0268] The server receives characteristic data and layout information sent by the user. The received data is stored in the server's database. The server starts the initial analysis and prepares to supply the data to the generating AI model. At this stage, the input is characteristic data, and the output is data converted into a format for the initial analysis.

[0269] Step 3:

[0270] The server uses a generative AI model to automatically generate spatial arrangements and color designs based on animal characteristics. The AI ​​model considers visual and sensory characteristics to calculate color schemes and layouts that will make animals comfortable. The input is the data prepared in step 2, and the output is digital data as a design plan.

[0271] Step 4:

[0272] The generated design plan is converted into a three-dimensional model by the server. This three-dimensional model is then sent to the terminal for the user to visually review. The input is the digital data of the design plan, and the output is model data optimized for three-dimensional display.

[0273] Step 5:

[0274] Users view a three-dimensional model through their device and have a virtual experience from the animal's perspective. Based on the model, users consider the optimal placement and colors for the animal and send feedback from their device to the server. The input is the result of the user's actions, and the output is the digital information of the feedback.

[0275] Step 6:

[0276] The server re-analyzes the data based on the feedback received from the user. This feedback information is then re-inputted into the generating AI model to update the design plan. The input consists of the feedback information and the previous design plan, and the output is an improved design proposal.

[0277] Step 7:

[0278] The improved design plan is regenerated as a 3D model and provided to the user. The user can review the new model and make further adjustments as needed. The input is the improved design proposal, and the output is the final 3D model.

[0279] (Application Example 1)

[0280] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0281] In the space where animals, especially dogs, live, there is a current situation where appropriate space design considering their vision and senses is not sufficiently carried out. For this reason, there is a problem that it is difficult to provide a comfortable and stress-free environment for animals. In addition, in stores and facilities, it is impossible to immediately confirm and practice the optimal space design from the perspective of animals, which hinders the improvement of animal welfare.

[0282] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0283] In this invention, the server includes means for inputting and analyzing the characteristic information of animals, means for generating an optimal space layout and color scheme based on the vision and senses of animals, and means for performing real-time analysis and visual instructions in the real space using a visual device. As a result, it is possible to quickly and effectively provide a comfortable and stress-free space for animals, and it becomes possible for the user to intuitively adjust the space design from the animal's eye level.

[0284] The "means for inputting and analyzing the characteristic information of animals" is a function of obtaining information about animals including animal species, sensory characteristics, visual characteristics, etc., and analyzing the data to determine the optimal environmental conditions for animals.

[0285] The "means for generating an optimal space layout and color scheme based on the vision and senses of animals" is a function of designing the configuration and color combination of the space for animals to feel comfortable based on the visual characteristics and sensory characteristics of animals.

[0286] <� The "means for providing a virtual experience by three-dimensional modeling of the generated space layout and color scheme" is a function of modeling the designed space and colors in a three-dimensional format and providing the environment for the user to virtually experience.

[0287] "Means of performing real-time analysis and visual instructions in real space using visual devices" refers to a function that uses visual devices such as smart glasses or headsets to analyze real space in real time and provide visual instructions to the user.

[0288] "A means of reanalyzing spatial design based on user feedback" refers to a function that reviews and reanalyzes existing spatial designs based on user opinions and requests for improvement, and reflects the results of that reanalysis.

[0289] To realize this invention, a server is first used as a hub to store animal characteristic information in a storage device. This includes animal species and visual, olfactory, and auditory characteristics. Based on this information, the server calculates the optimal spatial arrangement and color scheme to ensure the animals can live comfortably in a specific space. Advanced data analysis algorithms are used for the calculations.

[0290] The server uses OpenCV, an open-source image processing library, to analyze real-time video from a visual device. This device is a pair of smart glasses worn by the user as they move through real-world space. The visual device captures the real-world space and sends the data to the server. Based on this data, the server instantly provides analysis results and displays visual instructions to the user.

[0291] Through this system, users evaluate spatial designs from an animal's perspective and send feedback to the server. This feedback includes requests such as, "This color scheme should be a bit more subdued." The server then re-analyzes the design based on this feedback and generates new design proposals. This ensures that optimal environmental conditions for animals are constantly maintained.

[0292] As a concrete example, if you want to design a comfortable space for Labrador Retrievers in a pet shop, you would wear smart glasses and walk around the store. The images captured by the visual device are sent to a server, which evaluates the layout, including movement patterns and lighting, in real time to ensure it is suitable for animals. Based on this, the server would then present the glasses with an instruction to "incorporate a more gentle blue carpet" as a suggestion for improvement.

[0293] An example of a prompt might be, "Analyze the current layout of the pet shop and propose a comfortable spatial arrangement suitable for Labrador Retrievers."

[0294] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0295] Step 1:

[0296] The server analyzes the animal's characteristics information received from the terminal. This information includes the animal's species, age, and visual characteristics. Based on the input data, the server calculates the ideal environmental parameters for the animal and determines the base configuration.

[0297] Step 2:

[0298] The user walks around in the real world using smart glasses. The device continuously captures video of the surrounding space with its built-in camera and sends the data to a server. This video feed serves as input data for analysis.

[0299] Step 3:

[0300] The server processes the received video data using OpenCV to extract information such as the colors and layout of the space. This process evaluates the color distribution and movement patterns that would make animals feel comfortable, and identifies areas for improvement in real time. The output is a visual guideline representing a desirable design for animals.

[0301] Step 4:

[0302] The user attempts spatial adjustment in the real world while checking the visual guidelines displayed on the glasses. If the user feels that improvement is needed, feedback is sent to the server via voice or touch. This feedback serves as the input for the next analysis.

[0303] Step 5:

[0304] The server receives the feedback and re-analyzes the spatial design using the generative AI model. In this process, improvement plans including new design data are created, and updated visual guidelines are presented to the user. As a result, the output becomes a more refined environmental proposal.

[0305] Step 6:

[0306] The user makes a final confirmation of the proposed layout and colors and provides further feedback as needed. Through this cyclic process, an ideal spatial arrangement is realized, and an environment that satisfies both the animals and the user is prepared.

[0307] Furthermore, an emotion engine for estimating the user's emotions may be combined. That is, the specific processing unit 290 may estimate the user's emotions using the emotion recognition model 59 and perform specific processing using the user's emotions.

[0308] The present invention is a system in which an emotion engine that recognizes and reflects the user's emotions is incorporated into a spatial design system based on the vision and senses of animals. Hereinafter, how to specifically implement the system will be described.

[0309] The system consists of a terminal, a server, and an emotion engine. The user uses the terminal to input the layout data of the space to be designed. At this time, the characteristic data of the animal is also input, which includes the visual, olfactory, and auditory characteristics of the animal. The server receives these data and starts the process of generating a space layout and color design optimized for the animal.

[0310] The server also receives real-time emotion data from the emotion engine built into the terminal. This emotion engine analyzes biometric data such as the user's voice, facial expressions, and heart rate to recognize the user's emotions. For example, it can determine whether the user is relaxed or excited.

[0311] The server incorporates the received user's emotional data into its analysis results and proposes a comfortable space design not only for animals but also for users. This proposal is generated as a 3D model, reflecting a spatial design that allows users to feel emotionally secure and happy.

[0312] For example, if a user designs their living room, the server will generate a spatial design optimized for a Labrador Retriever, and simultaneously, based on data from the emotion engine, will consider color schemes and layouts that will help the user relax, and then provide a final design proposal. Based on this, the user can experience the space in a 3D model and consider the design in a way that closely resembles actual use.

[0313] Users can submit feedback based on the 3D model they experienced, and the server uses this feedback to re-analyze the spatial design and present an even more optimized design. This process makes it possible to create a comfortable space for both animals and users.

[0314] The following describes the processing flow.

[0315] Step 1:

[0316] The user inputs layout data for the space they want to design and animal characteristic data on their device and sends it to the server. By specifying the purpose of the space design (e.g., relaxation space, activity space), data related to emotions is also taken into consideration.

[0317] Step 2:

[0318] The server analyzes the received layout data and animal characteristic data to prepare for generating the optimal spatial arrangement and color design for the animals. The analysis takes into account the animals' visual and olfactory characteristics and identifies factors that cause stress.

[0319] Step 3:

[0320] The emotion engine built into the device acquires the user's facial expressions, voice, heart rate, and other data in real time to analyze the user's emotions. This data is sent to a server, where the user's emotional state is taken into consideration.

[0321] Step 4:

[0322] The server integrates analysis results based on the animal's sensory characteristics with user emotion data obtained from the emotion engine to generate a comfortable spatial design for both the animal and the user. In this process, it designs colors and arrangements that promote the user's ideal emotional state (e.g., a relaxed state).

[0323] Step 5:

[0324] The server provides the generated design to the terminal as a virtual space through 3D modeling. Using this 3D model, users can virtually experience a space from an animal's perspective or a space tailored to their own emotions.

[0325] Step 6:

[0326] Users review the 3D design they experienced and provide feedback based on their emotional or animal reactions. This feedback is then sent back to the server.

[0327] Step 7:

[0328] Based on user feedback, the server re-analyzes the design and optimizes placement and color schemes as needed. This provides users with an even more refined spatial design.

[0329] (Example 2)

[0330] Next, we will describe Example 2. 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".

[0331] Spatial design based on animal characteristics requires improving comfort not only for the animals themselves but also for their coexistence with humans. However, conventional design methods have faced the challenge of not being able to optimize spaces while fully considering the visual and sensory characteristics of animals. Furthermore, adjusting designs to take into account the emotional state of users requires individual consideration and has been difficult with conventional technologies.

[0332] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0333] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for creating a three-dimensional model of the generated spatial arrangement and color design to provide a virtual reality experience, and means for analyzing the user's emotional state and integrating it into the design in real time. This makes it possible to propose a comfortable spatial design that takes into account the characteristics of the animals and the emotions of the user.

[0334] "Animal characteristic information" refers to data about the ecology of animals and their sensory characteristics such as sight, smell, and hearing, and is information used when designing spaces.

[0335] "Analysis" is the process of performing calculations and evaluations based on input data to derive specific results or conclusions.

[0336] "Optimal spatial arrangement" refers to the arrangement of spaces designed to provide the most comfortable and safe environment for both animals and humans.

[0337] "Color design" is the process of planning the selection and arrangement of colors to be used in a space in order to achieve visual comfort.

[0338] "Three-dimensional modeling" is the process of recreating a space in three dimensions on a computer, making it a form that can be visually confirmed.

[0339] "Virtual reality experience" is a technology that uses digital technology to provide users with an experience that makes them feel as if they are in the real world.

[0340] "Integrating into design in real time" is the process of instantly reflecting user emotions and applying them to the design.

[0341] "Feedback" refers to evaluations and opinions provided by users, and is information used to improve and adjust the system.

[0342] One embodiment of the present invention is a system that designs a space based on animal characteristics and optimizes the design according to the user's emotions. This is realized with three main components: a terminal, a server, and an emotion engine.

[0343] First, the user inputs the spatial layout to be designed via a terminal. The terminal is equipped with an interface for inputting data on the sensory characteristics of animals, such as sight, smell, and hearing. Users can input in natural language by using prompts such as, "I want to design a spatial layout for a Labrador Retriever."

[0344] The terminal then sends the entered layout information to the server. The server used is equipped with high-performance computing software and utilizes a generative AI model to analyze the data. Based on the animal's characteristic data, the server executes a process to generate the optimal spatial arrangement and color design.

[0345] Furthermore, the server also receives real-time emotional data from the emotion engine built into the terminal. This emotion engine has the ability to analyze biometrics such as the user's voice, facial expressions, and heart rate. This allows the server to understand the user's emotional state, such as whether they are relaxed or excited, and reflect this in the design.

[0346] As a concrete example, consider a scenario where a user designs their living room for a Labrador Retriever. The server generates a spatial design suitable for a Labrador Retriever and, based on analysis data from an emotion engine, provides design suggestions including color schemes and layouts that enhance the user's sense of relaxation. The resulting design is presented to the user as a three-dimensional model, allowing the user to visually confirm the design through a virtual reality experience.

[0347] This system makes it possible to create a comfortable and harmonious space design for both animals and users.

[0348] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0349] Step 1:

[0350] The user uses a terminal to input layout data for the space they want to design. This input also includes animal characteristic data. Specifically, the user inputs data in the format of "I want to design a space layout for a Labrador Retriever" using prompts. The input data is organized by the terminal and prepared to be sent to the server.

[0351] Step 2:

[0352] The terminal sends the received layout data and animal characteristic data to the server. The transmitted data undergoes format conversion and is processed into a form that is easy for the server to analyze. This ensures data consistency and allows for a smooth transition to the next analysis process.

[0353] Step 3:

[0354] The server analyzes the received data and uses a generative AI model to generate spatial arrangements and color designs optimized for animals. This process computationally extracts the most suitable colors and layouts based on the visual and olfactory characteristics of the input animal. The output is generated as a virtual color design and spatial arrangement.

[0355] Step 4:

[0356] The emotion engine built into the device collects real-time data such as the user's voice, facial expressions, and heart rate, analyzes it, and sends it to a server. This data is used to determine the user's emotional state. The analysis results from the emotion engine quantify and convert the user's emotions into data.

[0357] Step 5:

[0358] The server integrates user emotional data into the spatial design. The collected emotional data is used to identify colors and layouts that promote user relaxation. By incorporating this into the design, a comfortable space for the user is considered. The output is presented as a final spatial design proposal that reflects the user's emotions.

[0359] Step 6:

[0360] The server generates a 3D model of the final spatial arrangement and color design and sends it to the terminal. The user can visually confirm this 3D model through the terminal and experience the design most intuitively through a virtual reality experience.

[0361] Step 7:

[0362] Users experience the 3D model and then send feedback from their device. This feedback, including user satisfaction and desired adjustments, is sent to the server as material for analysis in the next process.

[0363] Step 8:

[0364] The server reanalyzes the spatial design based on user feedback, makes necessary adjustments, and generates a further optimized design. This output is presented as an improved spatial design proposal that better matches the user's requirements and expectations.

[0365] (Application Example 2)

[0366] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0367] In spaces where animals and humans coexist, there is a need for technology that can provide an optimal environment that takes into account the physiological characteristics of animals and the emotional state of users. However, current technology struggles to simultaneously satisfy the needs of both animals and humans, and in particular, it lacks customization based on real-time changes in emotions.

[0368] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0369] In this invention, the server includes means for inputting and analyzing animal characteristic data, means for analyzing user emotions and reflecting them in the spatial arrangement, and means for optimizing the space in a real store environment for both users and animals. This makes it possible to provide a spatial design that simultaneously satisfies the physiological characteristics of animals and the emotional state of users in real time.

[0370] "Animal characteristic data" refers to information about the sensory characteristics of animals, such as sight, smell, and hearing, and data that shows the spatial use and behavioral characteristics specific to that animal species.

[0371] "Analysis" refers to the process of thoroughly analyzing input data to derive the optimal design and conditions.

[0372] "Optimal spatial arrangement based on visual and sensory perception" refers to the arrangement of spaces designed to harmonize with the sensory characteristics of animals, such as their sight, smell, and hearing.

[0373] "Color design" is the process of devising color combinations and arrangements for a specific purpose or subject, and providing the resulting design.

[0374] "3D modeling" is a technique that uses computers to create models of objects in three-dimensional space, enabling spatial experiences in virtual environments.

[0375] "Feedback" refers to opinions and reactions received from users, and is information used to improve the design and functionality of a system.

[0376] "Emotional analysis" is the process of processing biometric data such as the user's voice, facial expressions, and heart rate to recognize and analyze their emotional state.

[0377] The "physical store environment" refers to the environment within a commercial facility that exists as a physical space, and its purpose is to optimize the customer experience and comfort within that environment.

[0378] The system for implementing this invention analyzes animal and user characteristic data in real time and proposes the optimal spatial arrangement. Specifically, the system consists of a server, a terminal, an emotion analysis engine, and a spatial arrangement module.

[0379] The server receives characteristic data related to the animal's vision, smell, and hearing from the terminal and generates an optimal spatial design for the animal based on this data. The emotion analysis engine analyzes the user's emotional state using biometric data from the user, such as voice, facial expressions, and heart rate. Existing technologies such as Amazon Rekognition and Microsoft Azure Face API can be used for this analysis.

[0380] Furthermore, the spatial placement module combines user emotional data and animal characteristic data to propose methods for optimizing space in a physical store environment. This proposal is made in real time and can be quickly viewed by the user through smart glasses. The user can visually experience the spatial design within the physical store through the provided 3D model and provide feedback as needed.

[0381] As a concrete example, this system can be used in a pet shop. Shop staff wear smart glasses and walk around the store, recognizing customers' emotions from their facial expressions and voices. Based on this data, they can suggest product placement and spatial design suitable for animals, creating a comfortable shopping environment for customers.

[0382] Examples of prompts include, "What emotional changes can be observed from this customer's facial expressions and behavior?" and "Please suggest a store layout that is comfortable for both animals and humans." These prompts are in a text format that is useful for analysis using generative AI models.

[0383] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0384] Step 1:

[0385] The device receives animal characteristic data and user biometric data (voice, facial expressions, heart rate, etc.) as input. This data is collected, converted to a digital format, and sent to a server. The smart glasses' camera and microphone are used in this data collection step.

[0386] Step 2:

[0387] The server receives animal characteristic data transmitted from the terminal and generates a spatial design suitable for the animal. It analyzes the animal's visual, olfactory, and auditory data to calculate the optimal spatial arrangement and color design. The input is animal characteristic data, and the output is a prototype of the spatial design.

[0388] Step 3:

[0389] The server performs emotion analysis using the user's biometric data sent from the terminal. It analyzes the user's emotional state (e.g., relaxed, excited) using Amazon Rekognition or Microsoft Azure Face API. The input is the user's biometric data, and the output is data representing the emotional state.

[0390] Step 4:

[0391] The server compares and analyzes spatial designs suitable for animals with data on the user's emotional state. Based on this analysis, it generates spatial proposals suitable for both and sends the optimized design to the terminal in real time. The output is the spatial design as a 3D model.

[0392] Step 5:

[0393] Users review the spatial design visually presented through their device and provide feedback as needed. This feedback is then sent back to the server and used to further optimize the spatial design. The input is the user's feedback, and the output is the improved spatial design.

[0394] Step 6:

[0395] The server reanalyzes the spatial design based on user feedback and provides an updated, optimized spatial layout. This results in a spatial design suitable for both animals and users. The output is the final optimized spatial design.

[0396] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0397] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0398] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0399] [Third Embodiment]

[0400] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0401] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0402] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0403] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0404] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0405] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0406] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0407] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0408] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0409] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0410] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0411] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0412] This invention is a spatial design support system that takes into account the vision and senses of animals, particularly dogs, and aims to provide a comfortable environment for animals. Specific embodiments of the system described below are explained below.

[0413] The system mainly consists of terminals and servers.

[0414] The user uses a device to input layout data for the space they want to design, as well as characteristic data for animals. This characteristic data includes breed, age, visual characteristics (such as color vision), and sensitivity to smell and hearing.

[0415] The server performs analysis based on data received from the user, taking into account the visual and sensory characteristics of animals. This identifies stressors and comfort factors in the space and generates the optimal spatial layout and color design.

[0416] Specifically, the system calculates color schemes and visually calming arrangements that animals prefer, and then creates a design plan based on these calculations. This plan is then generated as a 3D model and provided to the user.

[0417] For example, if the user inputs a living room as the space and the pet is a Labrador Retriever, the server will suggest a layout that uses calming colors and ensures smooth movement, taking into account the characteristics of this breed. Through this 3D model, the user can virtually experience the space from the animal's perspective.

[0418] Users can provide feedback to the server regarding specific placement and color schemes based on the provided 3D model. The server receives this feedback, performs another analysis, and generates new suggestions.

[0419] Thus, the system of the present invention can support animal-friendly spatial design and provide a highly convenient design process for users.

[0420] The following describes the processing flow.

[0421] Step 1:

[0422] The user uses a terminal to input layout data for the space they want to design and sends it to the server. They also input characteristic data of their pets (breed, age, visual characteristics, etc.) at the same time.

[0423] Step 2:

[0424] The server analyzes layout data and animal characteristic data received from the user to identify stressors based on the animals' specific visual and sensory perceptions. For example, it evaluates whether certain color combinations or furniture arrangements are unpleasant for the animals.

[0425] Step 3:

[0426] Based on the analysis results, the server generates the most comfortable spatial arrangement and color scheme for the animals. At this stage, ideal furniture placement and color scheme guidelines are created.

[0427] Step 4:

[0428] The server creates a 3D model from the generated design and sends it to the user's terminal. The user can then use this 3D model to virtually experience the space from an animal's perspective.

[0429] Step 5:

[0430] Based on the 3D models they experience, users input feedback on placement and design from their devices to the server. This provides room for users' preferences and opinions to be reflected in the design.

[0431] Step 6:

[0432] The server receives user feedback and re-analyzes and adjusts the design based on the new information. This allows it to present the user with a further optimized design proposal.

[0433] (Example 1)

[0434] Next, we will describe Example 1. 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."

[0435] In modern animal husbandry environments, designing optimal spaces based on animals' vision and senses is crucial for reducing stress and providing a more comfortable living environment. However, conventional design methods have faced challenges in adequately considering the characteristics of animals when designing spatial arrangements and color schemes.

[0436] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0437] In this invention, the server includes means for acquiring animal characteristic data via an information processing device and analyzing that data, means for automatically generating an optimal spatial arrangement and color design based on the animal's vision and senses, and means for providing a virtual experience as a three-dimensional model of the generated spatial arrangement and color design using a generated AI model. This makes it possible to efficiently perform spatial design based on animal characteristics.

[0438] An "information processing device" is a computer or digital device that is responsible for the process of acquiring and analyzing animal characteristic data.

[0439] "Characteristic data" refers to information that describes the specific characteristics of an individual animal, such as its visual characteristics, sensory characteristics, age, and species.

[0440] "Analysis" is the process of performing detailed calculations and evaluations based on acquired characteristic data to design a space suitable for animals.

[0441] "Optimal spatial arrangement" refers to the arrangement of physical or digital spaces designed to allow animals to live comfortably.

[0442] "Color design" refers to the combination and arrangement of colors selected based on the visual characteristics of animals.

[0443] A "generative AI model" is an algorithm or model that uses artificial intelligence to propose the optimal design for an animal based on data.

[0444] A "three-dimensional model" is a virtual spatial model displayed three-dimensionally on a computer, enabling users to experience it visually.

[0445] "Virtual experience" is a technology that allows users to virtually experience a real space through a three-dimensional model.

[0446] "Feedback" refers to specific opinions and requests provided by users, and is information used to improve and adjust the system.

[0447] This invention is a system for designing comfortable spaces that take into account the characteristics of animals. This system mainly consists of an information processing device, a user terminal, and an analysis server. Specifically, it is implemented as follows.

[0448] Users use a terminal to input animal characteristic data through a specific interface. This data includes breed, age, visual characteristics, and sensitivity of smell and hearing. This data is entered on the terminal and transmitted to a server via the network.

[0449] The server analyzes the received data using a high-performance processor and dedicated software. The analysis utilizes a generative AI model to generate optimal spatial arrangements and color designs based on the animals' characteristics. This automatically determines color schemes and layouts that ensure the animals' comfort.

[0450] The generated design plan is provided to the user as a three-dimensional model. This model is displayed on the device, allowing the user to virtually experience the space from an animal's perspective. This process enables the user to visually consider animal-friendly spatial designs.

[0451] For example, if a user wants to design a living room with calming colors and a well-designed layout for a Labrador Retriever, the server will consider the specific sensory characteristics of this breed and propose the optimal layout. By using a prompt such as, "Design a calm and relaxing living room for a Labrador Retriever," the generative AI model can provide the best possible suggestions.

[0452] Users can send feedback to the server regarding placement and color based on the provided 3D model. The server then re-analyzes this feedback and generates more refined suggestions. This allows users to go through an iterative design process to create a space suitable for animals.

[0453] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0454] Step 1:

[0455] The user uses a terminal to input animal characteristic data and layout information for the space to be designed. This input includes breed, age, visual characteristics, and olfactory and auditory sensitivities. This data is entered via a dedicated interface on the terminal and transmitted to the server in digital format.

[0456] Step 2:

[0457] The server receives characteristic data and layout information sent by the user. The received data is stored in the server's database. The server starts the initial analysis and prepares to supply the data to the generating AI model. At this stage, the input is characteristic data, and the output is data converted into a format for the initial analysis.

[0458] Step 3:

[0459] The server uses a generative AI model to automatically generate spatial arrangements and color designs based on animal characteristics. The AI ​​model considers visual and sensory characteristics to calculate color schemes and layouts that will make animals comfortable. The input is the data prepared in step 2, and the output is digital data as a design plan.

[0460] Step 4:

[0461] The generated design plan is converted into a three-dimensional model by the server. This three-dimensional model is then sent to the terminal for the user to visually review. The input is the digital data of the design plan, and the output is model data optimized for three-dimensional display.

[0462] Step 5:

[0463] Users view a three-dimensional model through their device and have a virtual experience from the animal's perspective. Based on the model, users consider the optimal placement and colors for the animal and send feedback from their device to the server. The input is the result of the user's actions, and the output is the digital information of the feedback.

[0464] Step 6:

[0465] The server re-analyzes the data based on the feedback received from the user. This feedback information is then re-inputted into the generating AI model to update the design plan. The input consists of the feedback information and the previous design plan, and the output is an improved design proposal.

[0466] Step 7:

[0467] The improved design plan is regenerated as a 3D model and provided to the user. The user can review the new model and make further adjustments as needed. The input is the improved design proposal, and the output is the final 3D model.

[0468] (Application Example 1)

[0469] Next, we will explain Application Example 1. In the following explanation, 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."

[0470] In the current situation, there is insufficient consideration given to the visual and sensory needs of animals, particularly dogs, when designing living spaces. This makes it difficult to provide animals with a comfortable and stress-free environment. Furthermore, the inability to immediately identify and implement optimal spatial designs from an animal's perspective in stores and facilities hinders improvements in animal welfare.

[0471] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0472] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for generating optimal spatial arrangement and color scheme based on the animal's vision and senses, and means for performing real-time analysis and visual instructions in the real space using a visual device. This enables the rapid and effective provision of a comfortable and stress-free space for animals, and allows users to intuitively adjust the spatial design from the animal's perspective.

[0473] "Means for inputting and analyzing animal characteristic information" refers to a function that acquires information about animals, including animal species, sensory characteristics, and visual characteristics, and analyzes that data to determine the optimal environmental conditions for the animals.

[0474] "Means for generating optimal spatial arrangements and color schemes based on animal vision and senses" refers to a function that designs spatial configurations and color schemes that animals find comfortable, based on their visual and sensory characteristics.

[0475] "A means of providing a virtual experience by three-dimensional modeling the generated spatial arrangement and color scheme" refers to a function that models the designed space and colors in three dimensions and provides the user with a virtual experience of that environment.

[0476] "Means of performing real-time analysis and visual instructions in real space using visual devices" refers to a function that uses visual devices such as smart glasses or headsets to analyze real space in real time and provide visual instructions to the user.

[0477] "A means of reanalyzing spatial design based on user feedback" refers to a function that reviews and reanalyzes existing spatial designs based on user opinions and requests for improvement, and reflects the results of that reanalysis.

[0478] To realize this invention, a server is first used as a hub to store animal characteristic information in a storage device. This includes animal species and visual, olfactory, and auditory characteristics. Based on this information, the server calculates the optimal spatial arrangement and color scheme to ensure the animals can live comfortably in a specific space. Advanced data analysis algorithms are used for the calculations.

[0479] The server uses OpenCV, an open-source image processing library, to analyze real-time video from a visual device. This device is a pair of smart glasses worn by the user as they move through real-world space. The visual device captures the real-world space and sends the data to the server. Based on this data, the server instantly provides analysis results and displays visual instructions to the user.

[0480] Through this system, users evaluate spatial designs from an animal's perspective and send feedback to the server. This feedback includes requests such as, "This color scheme should be a bit more subdued." The server then re-analyzes the design based on this feedback and generates new design proposals. This ensures that optimal environmental conditions for animals are constantly maintained.

[0481] As a concrete example, if you want to design a comfortable space for Labrador Retrievers in a pet shop, you would wear smart glasses and walk around the store. The images captured by the visual device are sent to a server, which evaluates the layout, including movement patterns and lighting, in real time to ensure it is suitable for animals. Based on this, the server would then present the glasses with an instruction to "incorporate a more gentle blue carpet" as a suggestion for improvement.

[0482] An example of a prompt might be, "Analyze the current layout of the pet shop and propose a comfortable spatial arrangement suitable for Labrador Retrievers."

[0483] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0484] Step 1:

[0485] The server analyzes the animal's characteristics information received from the terminal. This information includes the animal's species, age, and visual characteristics. Based on the input data, the server calculates the ideal environmental parameters for the animal and determines the base configuration.

[0486] Step 2:

[0487] The user walks around in the real world using smart glasses. The device continuously captures video of the surrounding space with its built-in camera and sends the data to a server. This video feed serves as input data for analysis.

[0488] Step 3:

[0489] The server processes the received video data using OpenCV to extract information such as the colors and layout of the space. This process evaluates the color distribution and movement patterns that would make animals feel comfortable, and identifies areas for improvement in real time. The output is a visual guideline representing a desirable design for animals.

[0490] Step 4:

[0491] Users attempt to adjust their spatial awareness in the real world while referring to visual guidelines displayed on their glasses. If they feel improvements are needed, they send feedback to the server via voice or touch. This feedback then serves as input for the next analysis.

[0492] Step 5:

[0493] The server receives feedback and reanalyzes the spatial design using a generated AI model. This process creates an improved version that includes new design data and presents the user with updated visual guidelines. As a result, the output becomes an even more refined environmental proposal.

[0494] Step 6:

[0495] The user makes a final review of the proposed layout and color scheme, and provides further feedback as needed. This cyclical process ensures that the ideal spatial arrangement is achieved, creating an environment that satisfies both animals and users.

[0496] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0497] This invention is a system that incorporates an emotion engine into a spatial design system based on animal vision and senses, which recognizes and reflects the user's emotions. The following describes how the system is specifically implemented.

[0498] The system consists of a terminal, a server, and an emotion engine. The user uses the terminal to input layout data for the space they want to design. At the same time, they also input animal characteristic data, which includes the animal's visual, olfactory, and auditory characteristics. The server receives this data and starts the process of generating a spatial arrangement and color design optimized for the animal.

[0499] The server also receives real-time emotion data from the emotion engine built into the terminal. This emotion engine analyzes biometric data such as the user's voice, facial expressions, and heart rate to recognize the user's emotions. For example, it can determine whether the user is relaxed or excited.

[0500] The server incorporates the received user's emotional data into its analysis results and proposes a comfortable space design not only for animals but also for users. This proposal is generated as a 3D model, reflecting a spatial design that allows users to feel emotionally secure and happy.

[0501] For example, if a user designs their living room, the server will generate a spatial design optimized for a Labrador Retriever, and simultaneously, based on data from the emotion engine, will consider color schemes and layouts that will help the user relax, and then provide a final design proposal. Based on this, the user can experience the space in a 3D model and consider the design in a way that closely resembles actual use.

[0502] Users can submit feedback based on the 3D model they experienced, and the server uses this feedback to re-analyze the spatial design and present an even more optimized design. This process makes it possible to create a comfortable space for both animals and users.

[0503] The following describes the processing flow.

[0504] Step 1:

[0505] The user inputs layout data for the space they want to design and animal characteristic data on their device and sends it to the server. By specifying the purpose of the space design (e.g., relaxation space, activity space), data related to emotions is also taken into consideration.

[0506] Step 2:

[0507] The server analyzes the received layout data and animal characteristic data to prepare for generating the optimal spatial arrangement and color design for the animals. The analysis takes into account the animals' visual and olfactory characteristics and identifies factors that cause stress.

[0508] Step 3:

[0509] The emotion engine built into the device acquires the user's facial expressions, voice, heart rate, and other data in real time to analyze the user's emotions. This data is sent to a server, where the user's emotional state is taken into consideration.

[0510] Step 4:

[0511] The server integrates analysis results based on the animal's sensory characteristics with user emotion data obtained from the emotion engine to generate a comfortable spatial design for both the animal and the user. In this process, it designs colors and arrangements that promote the user's ideal emotional state (e.g., a relaxed state).

[0512] Step 5:

[0513] The server provides the generated design to the terminal as a virtual space through 3D modeling. Using this 3D model, users can virtually experience a space from an animal's perspective or a space tailored to their own emotions.

[0514] Step 6:

[0515] Users review the 3D design they experienced and provide feedback based on their emotional or animal reactions. This feedback is then sent back to the server.

[0516] Step 7:

[0517] Based on user feedback, the server re-analyzes the design and optimizes placement and color schemes as needed. This provides users with an even more refined spatial design.

[0518] (Example 2)

[0519] Next, we will describe Example 2. 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."

[0520] Spatial design based on animal characteristics requires improving comfort not only for the animals themselves but also for their coexistence with humans. However, conventional design methods have faced the challenge of not being able to optimize spaces while fully considering the visual and sensory characteristics of animals. Furthermore, adjusting designs to take into account the emotional state of users requires individual consideration and has been difficult with conventional technologies.

[0521] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0522] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for creating a three-dimensional model of the generated spatial arrangement and color design to provide a virtual reality experience, and means for analyzing the user's emotional state and integrating it into the design in real time. This makes it possible to propose a comfortable spatial design that takes into account the characteristics of the animals and the emotions of the user.

[0523] "Animal characteristic information" refers to data about the ecology of animals and their sensory characteristics such as sight, smell, and hearing, and is information used when designing spaces.

[0524] "Analysis" is the process of performing calculations and evaluations based on input data to derive specific results or conclusions.

[0525] "Optimal spatial arrangement" refers to the arrangement of spaces designed to provide the most comfortable and safe environment for both animals and humans.

[0526] "Color design" is the process of planning the selection and arrangement of colors to be used in a space in order to achieve visual comfort.

[0527] "Three-dimensional modeling" is the process of recreating a space in three dimensions on a computer, making it a form that can be visually confirmed.

[0528] "Virtual reality experience" is a technology that uses digital technology to provide users with an experience that makes them feel as if they are in the real world.

[0529] "Integrating into design in real time" is the process of instantly reflecting user emotions and applying them to the design.

[0530] "Feedback" refers to evaluations and opinions provided by users, and is information used to improve and adjust the system.

[0531] One embodiment of the present invention is a system that designs a space based on animal characteristics and optimizes the design according to the user's emotions. This is realized with three main components: a terminal, a server, and an emotion engine.

[0532] First, the user inputs the spatial layout to be designed via a terminal. The terminal is equipped with an interface for inputting data on the sensory characteristics of animals, such as sight, smell, and hearing. Users can input in natural language by using prompts such as, "I want to design a spatial layout for a Labrador Retriever."

[0533] The terminal then sends the entered layout information to the server. The server used is equipped with high-performance computing software and utilizes a generative AI model to analyze the data. Based on the animal's characteristic data, the server executes a process to generate the optimal spatial arrangement and color design.

[0534] Furthermore, the server also receives real-time emotional data from the emotion engine built into the terminal. This emotion engine has the ability to analyze biometrics such as the user's voice, facial expressions, and heart rate. This allows the server to understand the user's emotional state, such as whether they are relaxed or excited, and reflect this in the design.

[0535] As a concrete example, consider a scenario where a user designs their living room for a Labrador Retriever. The server generates a spatial design suitable for a Labrador Retriever and, based on analysis data from an emotion engine, provides design suggestions including color schemes and layouts that enhance the user's sense of relaxation. The resulting design is presented to the user as a three-dimensional model, allowing the user to visually confirm the design through a virtual reality experience.

[0536] This system makes it possible to create a comfortable and harmonious space design for both animals and users.

[0537] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0538] Step 1:

[0539] The user uses a terminal to input layout data for the space they want to design. This input also includes animal characteristic data. Specifically, the user inputs data in the format of "I want to design a space layout for a Labrador Retriever" using prompts. The input data is organized by the terminal and prepared to be sent to the server.

[0540] Step 2:

[0541] The terminal sends the received layout data and animal characteristic data to the server. The transmitted data undergoes format conversion and is processed into a form that is easy for the server to analyze. This ensures data consistency and allows for a smooth transition to the next analysis process.

[0542] Step 3:

[0543] The server analyzes the received data and uses a generative AI model to generate spatial arrangements and color designs optimized for animals. This process computationally extracts the most suitable colors and layouts based on the visual and olfactory characteristics of the input animal. The output is generated as a virtual color design and spatial arrangement.

[0544] Step 4:

[0545] The emotion engine built into the device collects real-time data such as the user's voice, facial expressions, and heart rate, analyzes it, and sends it to a server. This data is used to determine the user's emotional state. The analysis results from the emotion engine quantify and convert the user's emotions into data.

[0546] Step 5:

[0547] The server integrates user emotional data into the spatial design. The collected emotional data is used to identify colors and layouts that promote user relaxation. By incorporating this into the design, a comfortable space for the user is considered. The output is presented as a final spatial design proposal that reflects the user's emotions.

[0548] Step 6:

[0549] The server generates a 3D model of the final spatial arrangement and color design and sends it to the terminal. The user can visually confirm this 3D model through the terminal and experience the design most intuitively through a virtual reality experience.

[0550] Step 7:

[0551] Users experience the 3D model and then send feedback from their device. This feedback, including user satisfaction and desired adjustments, is sent to the server as material for analysis in the next process.

[0552] Step 8:

[0553] The server reanalyzes the spatial design based on user feedback, makes necessary adjustments, and generates a further optimized design. This output is presented as an improved spatial design proposal that better matches the user's requirements and expectations.

[0554] (Application Example 2)

[0555] Next, we will explain application example 2. In the following explanation, 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."

[0556] In spaces where animals and humans coexist, there is a need for technology that can provide an optimal environment that takes into account the physiological characteristics of animals and the emotional state of users. However, current technology struggles to simultaneously satisfy the needs of both animals and humans, and in particular, it lacks customization based on real-time changes in emotions.

[0557] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0558] In this invention, the server includes means for inputting and analyzing animal characteristic data, means for analyzing user emotions and reflecting them in the spatial arrangement, and means for optimizing the space in a real store environment for both users and animals. This makes it possible to provide a spatial design that simultaneously satisfies the physiological characteristics of animals and the emotional state of users in real time.

[0559] "Animal characteristic data" refers to information about the sensory characteristics of animals, such as sight, smell, and hearing, and data that shows the spatial use and behavioral characteristics specific to that animal species.

[0560] "Analysis" refers to the process of thoroughly analyzing input data to derive the optimal design and conditions.

[0561] "Optimal spatial arrangement based on visual and sensory perception" refers to the arrangement of spaces designed to harmonize with the sensory characteristics of animals, such as their sight, smell, and hearing.

[0562] "Color design" is the process of devising color combinations and arrangements for a specific purpose or subject, and providing the resulting design.

[0563] "3D modeling" is a technique that uses computers to create models of objects in three-dimensional space, enabling spatial experiences in virtual environments.

[0564] "Feedback" refers to opinions and reactions received from users, and is information used to improve the design and functionality of a system.

[0565] "Emotional analysis" is the process of processing biometric data such as the user's voice, facial expressions, and heart rate to recognize and analyze their emotional state.

[0566] The "physical store environment" refers to the environment within a commercial facility that exists as a physical space, and its purpose is to optimize the customer experience and comfort within that environment.

[0567] The system for implementing this invention analyzes animal and user characteristic data in real time and proposes the optimal spatial arrangement. Specifically, the system consists of a server, a terminal, an emotion analysis engine, and a spatial arrangement module.

[0568] The server receives characteristic data related to the animal's vision, smell, and hearing from the terminal and generates an optimal spatial design for the animal based on this data. The emotion analysis engine analyzes the user's emotional state using biometric data from the user, such as voice, facial expressions, and heart rate. Existing technologies such as Amazon Rekognition and Microsoft Azure Face API can be used for this analysis.

[0569] Furthermore, the spatial placement module combines user emotional data and animal characteristic data to propose methods for optimizing space in a physical store environment. This proposal is made in real time and can be quickly viewed by the user through smart glasses. The user can visually experience the spatial design within the physical store through the provided 3D model and provide feedback as needed.

[0570] As a concrete example, this system can be used in a pet shop. Shop staff wear smart glasses and walk around the store, recognizing customers' emotions from their facial expressions and voices. Based on this data, they can suggest product placement and spatial design suitable for animals, creating a comfortable shopping environment for customers.

[0571] Examples of prompts include, "What emotional changes can be observed from this customer's facial expressions and behavior?" and "Please suggest a store layout that is comfortable for both animals and humans." These prompts are in a text format that is useful for analysis using generative AI models.

[0572] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0573] Step 1:

[0574] The device receives animal characteristic data and user biometric data (voice, facial expressions, heart rate, etc.) as input. This data is collected, converted to a digital format, and sent to a server. The smart glasses' camera and microphone are used in this data collection step.

[0575] Step 2:

[0576] The server receives animal characteristic data transmitted from the terminal and generates a spatial design suitable for the animal. It analyzes the animal's visual, olfactory, and auditory data to calculate the optimal spatial arrangement and color design. The input is animal characteristic data, and the output is a prototype of the spatial design.

[0577] Step 3:

[0578] The server performs emotion analysis using the user's biometric data sent from the terminal. It analyzes the user's emotional state (e.g., relaxed, excited) using Amazon Rekognition or Microsoft Azure Face API. The input is the user's biometric data, and the output is data representing the emotional state.

[0579] Step 4:

[0580] The server compares and analyzes spatial designs suitable for animals with data on the user's emotional state. Based on this analysis, it generates spatial proposals suitable for both and sends the optimized design to the terminal in real time. The output is the spatial design as a 3D model.

[0581] Step 5:

[0582] Users review the spatial design visually presented through their device and provide feedback as needed. This feedback is then sent back to the server and used to further optimize the spatial design. The input is the user's feedback, and the output is the improved spatial design.

[0583] Step 6:

[0584] The server reanalyzes the spatial design based on user feedback and provides an updated, optimized spatial layout. This results in a spatial design suitable for both animals and users. The output is the final optimized spatial design.

[0585] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0586] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0587] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0588] [Fourth Embodiment]

[0589] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0590] As shown in Figure 7, the 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.

[0591] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0592] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0593] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0594] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0595] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0596] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0597] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0598] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0599] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0600] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0601] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0602] This invention is a spatial design support system that takes into account the vision and senses of animals, particularly dogs, and aims to provide a comfortable environment for animals. Specific embodiments of the system described below are explained below.

[0603] The system mainly consists of terminals and servers.

[0604] The user uses a device to input layout data for the space they want to design, as well as characteristic data for animals. This characteristic data includes breed, age, visual characteristics (such as color vision), and sensitivity to smell and hearing.

[0605] The server performs analysis based on data received from the user, taking into account the visual and sensory characteristics of animals. This identifies stressors and comfort factors in the space and generates the optimal spatial layout and color design.

[0606] Specifically, the system calculates color schemes and visually calming arrangements that animals prefer, and then creates a design plan based on these calculations. This plan is then generated as a 3D model and provided to the user.

[0607] For example, if the user inputs a living room as the space and the pet is a Labrador Retriever, the server will suggest a layout that uses calming colors and ensures smooth movement, taking into account the characteristics of this breed. Through this 3D model, the user can virtually experience the space from the animal's perspective.

[0608] Users can provide feedback to the server regarding specific placement and color schemes based on the provided 3D model. The server receives this feedback, performs another analysis, and generates new suggestions.

[0609] Thus, the system of the present invention can support animal-friendly spatial design and provide a highly convenient design process for users.

[0610] The following describes the processing flow.

[0611] Step 1:

[0612] The user uses a terminal to input layout data for the space they want to design and sends it to the server. They also input characteristic data of their pets (breed, age, visual characteristics, etc.) at the same time.

[0613] Step 2:

[0614] The server analyzes layout data and animal characteristic data received from the user to identify stressors based on the animals' specific visual and sensory perceptions. For example, it evaluates whether certain color combinations or furniture arrangements are unpleasant for the animals.

[0615] Step 3:

[0616] Based on the analysis results, the server generates the most comfortable spatial arrangement and color scheme for the animals. At this stage, ideal furniture placement and color scheme guidelines are created.

[0617] Step 4:

[0618] The server creates a 3D model from the generated design and sends it to the user's terminal. The user can then use this 3D model to virtually experience the space from an animal's perspective.

[0619] Step 5:

[0620] Based on the 3D models they experience, users input feedback on placement and design from their devices to the server. This provides room for users' preferences and opinions to be reflected in the design.

[0621] Step 6:

[0622] The server receives user feedback and re-analyzes and adjusts the design based on the new information. This allows it to present the user with a further optimized design proposal.

[0623] (Example 1)

[0624] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0625] In modern animal husbandry environments, designing optimal spaces based on animals' vision and senses is crucial for reducing stress and providing a more comfortable living environment. However, conventional design methods have faced challenges in adequately considering the characteristics of animals when designing spatial arrangements and color schemes.

[0626] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0627] In this invention, the server includes means for acquiring animal characteristic data via an information processing device and analyzing that data, means for automatically generating an optimal spatial arrangement and color design based on the animal's vision and senses, and means for providing a virtual experience as a three-dimensional model of the generated spatial arrangement and color design using a generated AI model. This makes it possible to efficiently perform spatial design based on animal characteristics.

[0628] An "information processing device" is a computer or digital device that is responsible for the process of acquiring and analyzing animal characteristic data.

[0629] "Characteristic data" refers to information that describes the specific characteristics of an individual animal, such as its visual characteristics, sensory characteristics, age, and species.

[0630] "Analysis" is the process of performing detailed calculations and evaluations based on acquired characteristic data to design a space suitable for animals.

[0631] "Optimal spatial arrangement" refers to the arrangement of physical or digital spaces designed to allow animals to live comfortably.

[0632] "Color design" refers to the combination and arrangement of colors selected based on the visual characteristics of animals.

[0633] A "generative AI model" is an algorithm or model that uses artificial intelligence to propose the optimal design for an animal based on data.

[0634] A "three-dimensional model" is a virtual spatial model displayed three-dimensionally on a computer, enabling users to experience it visually.

[0635] "Virtual experience" is a technology that allows users to virtually experience a real space through a three-dimensional model.

[0636] "Feedback" refers to specific opinions and requests provided by users, and is information used to improve and adjust the system.

[0637] This invention is a system for designing comfortable spaces that take into account the characteristics of animals. This system mainly consists of an information processing device, a user terminal, and an analysis server. Specifically, it is implemented as follows.

[0638] Users use a terminal to input animal characteristic data through a specific interface. This data includes breed, age, visual characteristics, and sensitivity of smell and hearing. This data is entered on the terminal and transmitted to a server via the network.

[0639] The server analyzes the received data using a high-performance processor and dedicated software. The analysis utilizes a generative AI model to generate optimal spatial arrangements and color designs based on the animals' characteristics. This automatically determines color schemes and layouts that ensure the animals' comfort.

[0640] The generated design plan is provided to the user as a three-dimensional model. This model is displayed on the device, allowing the user to virtually experience the space from an animal's perspective. This process enables the user to visually consider animal-friendly spatial designs.

[0641] For example, if a user wants to design a living room with calming colors and a well-designed layout for a Labrador Retriever, the server will consider the specific sensory characteristics of this breed and propose the optimal layout. By using a prompt such as, "Design a calm and relaxing living room for a Labrador Retriever," the generative AI model can provide the best possible suggestions.

[0642] Users can send feedback to the server regarding placement and color based on the provided 3D model. The server then re-analyzes this feedback and generates more refined suggestions. This allows users to go through an iterative design process to create a space suitable for animals.

[0643] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0644] Step 1:

[0645] The user uses a terminal to input animal characteristic data and layout information for the space to be designed. This input includes breed, age, visual characteristics, and olfactory and auditory sensitivities. This data is entered via a dedicated interface on the terminal and transmitted to the server in digital format.

[0646] Step 2:

[0647] The server receives characteristic data and layout information sent by the user. The received data is stored in the server's database. The server starts the initial analysis and prepares to supply the data to the generating AI model. At this stage, the input is characteristic data, and the output is data converted into a format for the initial analysis.

[0648] Step 3:

[0649] The server uses a generative AI model to automatically generate spatial arrangements and color designs based on animal characteristics. The AI ​​model considers visual and sensory characteristics to calculate color schemes and layouts that will make animals comfortable. The input is the data prepared in step 2, and the output is digital data as a design plan.

[0650] Step 4:

[0651] The generated design plan is converted into a three-dimensional model by the server. This three-dimensional model is then sent to the terminal for the user to visually review. The input is the digital data of the design plan, and the output is model data optimized for three-dimensional display.

[0652] Step 5:

[0653] Users view a three-dimensional model through their device and have a virtual experience from the animal's perspective. Based on the model, users consider the optimal placement and colors for the animal and send feedback from their device to the server. The input is the result of the user's actions, and the output is the digital information of the feedback.

[0654] Step 6:

[0655] The server re-analyzes the data based on the feedback received from the user. This feedback information is then re-inputted into the generating AI model to update the design plan. The input consists of the feedback information and the previous design plan, and the output is an improved design proposal.

[0656] Step 7:

[0657] The improved design plan is regenerated as a 3D model and provided to the user. The user can review the new model and make further adjustments as needed. The input is the improved design proposal, and the output is the final 3D model.

[0658] (Application Example 1)

[0659] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0660] In the current situation, there is insufficient consideration given to the visual and sensory needs of animals, particularly dogs, when designing living spaces. This makes it difficult to provide animals with a comfortable and stress-free environment. Furthermore, the inability to immediately identify and implement optimal spatial designs from an animal's perspective in stores and facilities hinders improvements in animal welfare.

[0661] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0662] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for generating optimal spatial arrangement and color scheme based on the animal's vision and senses, and means for performing real-time analysis and visual instructions in the real space using a visual device. This enables the rapid and effective provision of a comfortable and stress-free space for animals, and allows users to intuitively adjust the spatial design from the animal's perspective.

[0663] "Means for inputting and analyzing animal characteristic information" refers to a function that acquires information about animals, including animal species, sensory characteristics, and visual characteristics, and analyzes that data to determine the optimal environmental conditions for the animals.

[0664] "Means for generating optimal spatial arrangements and color schemes based on animal vision and senses" refers to a function that designs spatial configurations and color schemes that animals find comfortable, based on their visual and sensory characteristics.

[0665] "A means of providing a virtual experience by three-dimensional modeling the generated spatial arrangement and color scheme" refers to a function that models the designed space and colors in three dimensions and provides the user with a virtual experience of that environment.

[0666] "Means of performing real-time analysis and visual instructions in real space using visual devices" refers to a function that uses visual devices such as smart glasses or headsets to analyze real space in real time and provide visual instructions to the user.

[0667] "A means of reanalyzing spatial design based on user feedback" refers to a function that reviews and reanalyzes existing spatial designs based on user opinions and requests for improvement, and reflects the results of that reanalysis.

[0668] To realize this invention, a server is first used as a hub to store animal characteristic information in a storage device. This includes animal species and visual, olfactory, and auditory characteristics. Based on this information, the server calculates the optimal spatial arrangement and color scheme to ensure the animals can live comfortably in a specific space. Advanced data analysis algorithms are used for the calculations.

[0669] The server uses OpenCV, an open-source image processing library, to analyze real-time video from a visual device. This device is a pair of smart glasses worn by the user as they move through real-world space. The visual device captures the real-world space and sends the data to the server. Based on this data, the server instantly provides analysis results and displays visual instructions to the user.

[0670] Through this system, users evaluate spatial designs from an animal's perspective and send feedback to the server. This feedback includes requests such as, "This color scheme should be a bit more subdued." The server then re-analyzes the design based on this feedback and generates new design proposals. This ensures that optimal environmental conditions for animals are constantly maintained.

[0671] As a concrete example, if you want to design a comfortable space for Labrador Retrievers in a pet shop, you would wear smart glasses and walk around the store. The images captured by the visual device are sent to a server, which evaluates the layout, including movement patterns and lighting, in real time to ensure it is suitable for animals. Based on this, the server would then present the glasses with an instruction to "incorporate a more gentle blue carpet" as a suggestion for improvement.

[0672] An example of a prompt might be, "Analyze the current layout of the pet shop and propose a comfortable spatial arrangement suitable for Labrador Retrievers."

[0673] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0674] Step 1:

[0675] The server analyzes the animal's characteristics information received from the terminal. This information includes the animal's species, age, and visual characteristics. Based on the input data, the server calculates the ideal environmental parameters for the animal and determines the base configuration.

[0676] Step 2:

[0677] The user walks around in the real world using smart glasses. The device continuously captures video of the surrounding space with its built-in camera and sends the data to a server. This video feed serves as input data for analysis.

[0678] Step 3:

[0679] The server processes the received video data using OpenCV to extract information such as the colors and layout of the space. This process evaluates the color distribution and movement patterns that would make animals feel comfortable, and identifies areas for improvement in real time. The output is a visual guideline representing a desirable design for animals.

[0680] Step 4:

[0681] Users attempt to adjust their spatial awareness in the real world while referring to visual guidelines displayed on their glasses. If they feel improvements are needed, they send feedback to the server via voice or touch. This feedback then serves as input for the next analysis.

[0682] Step 5:

[0683] The server receives feedback and reanalyzes the spatial design using a generated AI model. This process creates an improved version that includes new design data and presents the user with updated visual guidelines. As a result, the output becomes an even more refined environmental proposal.

[0684] Step 6:

[0685] The user makes a final review of the proposed layout and color scheme, and provides further feedback as needed. This cyclical process ensures that the ideal spatial arrangement is achieved, creating an environment that satisfies both animals and users.

[0686] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0687] This invention is a system that incorporates an emotion engine into a spatial design system based on animal vision and senses, which recognizes and reflects the user's emotions. The following describes how the system is specifically implemented.

[0688] The system consists of a terminal, a server, and an emotion engine. The user uses the terminal to input layout data for the space they want to design. At the same time, they also input animal characteristic data, which includes the animal's visual, olfactory, and auditory characteristics. The server receives this data and starts the process of generating a spatial arrangement and color design optimized for the animal.

[0689] The server also receives real-time emotion data from the emotion engine built into the terminal. This emotion engine analyzes biometric data such as the user's voice, facial expressions, and heart rate to recognize the user's emotions. For example, it can determine whether the user is relaxed or excited.

[0690] The server incorporates the received user's emotional data into its analysis results and proposes a comfortable space design not only for animals but also for users. This proposal is generated as a 3D model, reflecting a spatial design that allows users to feel emotionally secure and happy.

[0691] For example, if a user designs their living room, the server will generate a spatial design optimized for a Labrador Retriever, and simultaneously, based on data from the emotion engine, will consider color schemes and layouts that will help the user relax, and then provide a final design proposal. Based on this, the user can experience the space in a 3D model and consider the design in a way that closely resembles actual use.

[0692] Users can submit feedback based on the 3D model they experienced, and the server uses this feedback to re-analyze the spatial design and present an even more optimized design. This process makes it possible to create a comfortable space for both animals and users.

[0693] The following describes the processing flow.

[0694] Step 1:

[0695] The user inputs layout data for the space they want to design and animal characteristic data on their device and sends it to the server. By specifying the purpose of the space design (e.g., relaxation space, activity space), data related to emotions is also taken into consideration.

[0696] Step 2:

[0697] The server analyzes the received layout data and animal characteristic data to prepare for generating the optimal spatial arrangement and color design for the animals. The analysis takes into account the animals' visual and olfactory characteristics and identifies factors that cause stress.

[0698] Step 3:

[0699] The emotion engine built into the device acquires the user's facial expressions, voice, heart rate, and other data in real time to analyze the user's emotions. This data is sent to a server, where the user's emotional state is taken into consideration.

[0700] Step 4:

[0701] The server integrates analysis results based on the animal's sensory characteristics with user emotion data obtained from the emotion engine to generate a comfortable spatial design for both the animal and the user. In this process, it designs colors and arrangements that promote the user's ideal emotional state (e.g., a relaxed state).

[0702] Step 5:

[0703] The server provides the generated design to the terminal as a virtual space through 3D modeling. Using this 3D model, users can virtually experience a space from an animal's perspective or a space tailored to their own emotions.

[0704] Step 6:

[0705] Users review the 3D design they experienced and provide feedback based on their emotional or animal reactions. This feedback is then sent back to the server.

[0706] Step 7:

[0707] Based on user feedback, the server re-analyzes the design and optimizes placement and color schemes as needed. This provides users with an even more refined spatial design.

[0708] (Example 2)

[0709] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0710] Spatial design based on animal characteristics requires improving comfort not only for the animals themselves but also for their coexistence with humans. However, conventional design methods have faced the challenge of not being able to optimize spaces while fully considering the visual and sensory characteristics of animals. Furthermore, adjusting designs to take into account the emotional state of users requires individual consideration and has been difficult with conventional technologies.

[0711] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0712] In this invention, the server includes means for inputting and analyzing animal characteristic information, means for creating a three-dimensional model of the generated spatial arrangement and color design to provide a virtual reality experience, and means for analyzing the user's emotional state and integrating it into the design in real time. This makes it possible to propose a comfortable spatial design that takes into account the characteristics of the animals and the emotions of the user.

[0713] "Animal characteristic information" refers to data about the ecology of animals and their sensory characteristics such as sight, smell, and hearing, and is information used when designing spaces.

[0714] "Analysis" is the process of performing calculations and evaluations based on input data to derive specific results or conclusions.

[0715] "Optimal spatial arrangement" refers to the arrangement of spaces designed to provide the most comfortable and safe environment for both animals and humans.

[0716] "Color design" is the process of planning the selection and arrangement of colors to be used in a space in order to achieve visual comfort.

[0717] "Three-dimensional modeling" is the process of recreating a space in three dimensions on a computer, making it a form that can be visually confirmed.

[0718] "Virtual reality experience" is a technology that uses digital technology to provide users with an experience that makes them feel as if they are in the real world.

[0719] "Integrating into design in real time" is the process of instantly reflecting user emotions and applying them to the design.

[0720] "Feedback" refers to evaluations and opinions provided by users, and is information used to improve and adjust the system.

[0721] One embodiment of the present invention is a system that designs a space based on animal characteristics and optimizes the design according to the user's emotions. This is realized with three main components: a terminal, a server, and an emotion engine.

[0722] First, the user inputs the spatial layout to be designed via a terminal. The terminal is equipped with an interface for inputting data on the sensory characteristics of animals, such as sight, smell, and hearing. Users can input in natural language by using prompts such as, "I want to design a spatial layout for a Labrador Retriever."

[0723] The terminal then sends the entered layout information to the server. The server used is equipped with high-performance computing software and utilizes a generative AI model to analyze the data. Based on the animal's characteristic data, the server executes a process to generate the optimal spatial arrangement and color design.

[0724] Furthermore, the server also receives real-time emotional data from the emotion engine built into the terminal. This emotion engine has the ability to analyze biometrics such as the user's voice, facial expressions, and heart rate. This allows the server to understand the user's emotional state, such as whether they are relaxed or excited, and reflect this in the design.

[0725] As a concrete example, consider a scenario where a user designs their living room for a Labrador Retriever. The server generates a spatial design suitable for a Labrador Retriever and, based on analysis data from an emotion engine, provides design suggestions including color schemes and layouts that enhance the user's sense of relaxation. The resulting design is presented to the user as a three-dimensional model, allowing the user to visually confirm the design through a virtual reality experience.

[0726] This system makes it possible to create a comfortable and harmonious space design for both animals and users.

[0727] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0728] Step 1:

[0729] The user uses a terminal to input layout data for the space they want to design. This input also includes animal characteristic data. Specifically, the user inputs data in the format of "I want to design a space layout for a Labrador Retriever" using prompts. The input data is organized by the terminal and prepared to be sent to the server.

[0730] Step 2:

[0731] The terminal sends the received layout data and animal characteristic data to the server. The transmitted data undergoes format conversion and is processed into a form that is easy for the server to analyze. This ensures data consistency and allows for a smooth transition to the next analysis process.

[0732] Step 3:

[0733] The server analyzes the received data and uses a generative AI model to generate spatial arrangements and color designs optimized for animals. This process computationally extracts the most suitable colors and layouts based on the visual and olfactory characteristics of the input animal. The output is generated as a virtual color design and spatial arrangement.

[0734] Step 4:

[0735] The emotion engine built into the device collects real-time data such as the user's voice, facial expressions, and heart rate, analyzes it, and sends it to a server. This data is used to determine the user's emotional state. The analysis results from the emotion engine quantify and convert the user's emotions into data.

[0736] Step 5:

[0737] The server integrates user emotional data into the spatial design. The collected emotional data is used to identify colors and layouts that promote user relaxation. By incorporating this into the design, a comfortable space for the user is considered. The output is presented as a final spatial design proposal that reflects the user's emotions.

[0738] Step 6:

[0739] The server generates a 3D model of the final spatial arrangement and color design and sends it to the terminal. The user can visually confirm this 3D model through the terminal and experience the design most intuitively through a virtual reality experience.

[0740] Step 7:

[0741] Users experience the 3D model and then send feedback from their device. This feedback, including user satisfaction and desired adjustments, is sent to the server as material for analysis in the next process.

[0742] Step 8:

[0743] The server reanalyzes the spatial design based on user feedback, makes necessary adjustments, and generates a further optimized design. This output is presented as an improved spatial design proposal that better matches the user's requirements and expectations.

[0744] (Application Example 2)

[0745] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0746] In spaces where animals and humans coexist, there is a need for technology that can provide an optimal environment that takes into account the physiological characteristics of animals and the emotional state of users. However, current technology struggles to simultaneously satisfy the needs of both animals and humans, and in particular, it lacks customization based on real-time changes in emotions.

[0747] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0748] In this invention, the server includes means for inputting and analyzing animal characteristic data, means for analyzing user emotions and reflecting them in the spatial arrangement, and means for optimizing the space in a real store environment for both users and animals. This makes it possible to provide a spatial design that simultaneously satisfies the physiological characteristics of animals and the emotional state of users in real time.

[0749] "Animal characteristic data" refers to information about the sensory characteristics of animals, such as sight, smell, and hearing, and data that shows the spatial use and behavioral characteristics specific to that animal species.

[0750] "Analysis" refers to the process of thoroughly analyzing input data to derive the optimal design and conditions.

[0751] "Optimal spatial arrangement based on visual and sensory perception" refers to the arrangement of spaces designed to harmonize with the sensory characteristics of animals, such as their sight, smell, and hearing.

[0752] "Color design" is the process of devising color combinations and arrangements for a specific purpose or subject, and providing the resulting design.

[0753] "3D modeling" is a technique that uses computers to create models of objects in three-dimensional space, enabling spatial experiences in virtual environments.

[0754] "Feedback" refers to opinions and reactions received from users, and is information used to improve the design and functionality of a system.

[0755] "Emotional analysis" is the process of processing biometric data such as the user's voice, facial expressions, and heart rate to recognize and analyze their emotional state.

[0756] The "physical store environment" refers to the environment within a commercial facility that exists as a physical space, and its purpose is to optimize the customer experience and comfort within that environment.

[0757] The system for implementing this invention analyzes animal and user characteristic data in real time and proposes the optimal spatial arrangement. Specifically, the system consists of a server, a terminal, an emotion analysis engine, and a spatial arrangement module.

[0758] The server receives characteristic data related to the animal's vision, smell, and hearing from the terminal and generates an optimal spatial design for the animal based on this data. The emotion analysis engine analyzes the user's emotional state using biometric data from the user, such as voice, facial expressions, and heart rate. Existing technologies such as Amazon Rekognition and Microsoft Azure Face API can be used for this analysis.

[0759] Furthermore, the spatial placement module combines user emotional data and animal characteristic data to propose methods for optimizing space in a physical store environment. This proposal is made in real time and can be quickly viewed by the user through smart glasses. The user can visually experience the spatial design within the physical store through the provided 3D model and provide feedback as needed.

[0760] As a concrete example, this system can be used in a pet shop. Shop staff wear smart glasses and walk around the store, recognizing customers' emotions from their facial expressions and voices. Based on this data, they can suggest product placement and spatial design suitable for animals, creating a comfortable shopping environment for customers.

[0761] Examples of prompts include, "What emotional changes can be observed from this customer's facial expressions and behavior?" and "Please suggest a store layout that is comfortable for both animals and humans." These prompts are in a text format that is useful for analysis using generative AI models.

[0762] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0763] Step 1:

[0764] The device receives animal characteristic data and user biometric data (voice, facial expressions, heart rate, etc.) as input. This data is collected, converted to a digital format, and sent to a server. The smart glasses' camera and microphone are used in this data collection step.

[0765] Step 2:

[0766] The server receives animal characteristic data transmitted from the terminal and generates a spatial design suitable for the animal. It analyzes the animal's visual, olfactory, and auditory data to calculate the optimal spatial arrangement and color design. The input is animal characteristic data, and the output is a prototype of the spatial design.

[0767] Step 3:

[0768] The server performs emotion analysis using the user's biometric data sent from the terminal. It analyzes the user's emotional state (e.g., relaxed, excited) using Amazon Rekognition or Microsoft Azure Face API. The input is the user's biometric data, and the output is data representing the emotional state.

[0769] Step 4:

[0770] The server compares and analyzes spatial designs suitable for animals with data on the user's emotional state. Based on this analysis, it generates spatial proposals suitable for both and sends the optimized design to the terminal in real time. The output is the spatial design as a 3D model.

[0771] Step 5:

[0772] Users review the spatial design visually presented through their device and provide feedback as needed. This feedback is then sent back to the server and used to further optimize the spatial design. The input is the user's feedback, and the output is the improved spatial design.

[0773] Step 6:

[0774] The server reanalyzes the spatial design based on user feedback and provides an updated, optimized spatial layout. This results in a spatial design suitable for both animals and users. The output is the final optimized spatial design.

[0775] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0776] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0777] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0778] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0779] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0780] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0781] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0782] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0783] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is 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 the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0784] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0785] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0786] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0787] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0788] 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.

[0789] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0790] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0791] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0792] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0793] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0794] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0795] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0796] The following is further disclosed regarding the embodiments described above.

[0797] (Claim 1)

[0798] A means of inputting and analyzing animal characteristic data,

[0799] A means for generating optimal spatial arrangement and color design based on the visual and sensory perception of animals,

[0800] A means of providing a virtual experience by 3D modeling the generated spatial arrangement and color design,

[0801] A means of re-analyzing spatial design based on user feedback,

[0802] A system that includes this.

[0803] (Claim 2)

[0804] The system according to claim 1, which optimizes spatial arrangement using a data analysis algorithm specialized for a specific species of animal.

[0805] (Claim 3)

[0806] The system according to claim 1, which provides a design proposal that can be customized by user input.

[0807] "Example 1"

[0808] (Claim 1)

[0809] A means for acquiring animal characteristic data via an information processing device and analyzing that data,

[0810] A means for automatically generating optimal spatial arrangement and color design based on the visual and sensory perception of animals,

[0811] A means of providing a virtual experience as a three-dimensional model of the generated spatial arrangement and color design using a generative AI model,

[0812] A means of re-analyzing the spatial design and updating the proposal based on user feedback,

[0813] A system that includes this.

[0814] (Claim 2)

[0815] The system according to claim 1, which optimizes spatial arrangement by applying an analysis algorithm specifically tailored to the individual characteristics of animals.

[0816] (Claim 3)

[0817] The system according to claim 1, which generates customizable design proposals using user input information.

[0818] "Application Example 1"

[0819] (Claim 1)

[0820] A means of inputting and analyzing animal characteristic information,

[0821] A means for generating optimal spatial arrangement and color scheme based on the visual and sensory perception of animals,

[0822] A means of providing a virtual experience by 3D modeling the generated spatial arrangement and color scheme,

[0823] A means of performing real-time analysis and visual instructions in real space using a visual device,

[0824] A means of re-analyzing spatial design based on user feedback,

[0825] A system that includes this.

[0826] (Claim 2)

[0827] The system according to claim 1, which optimizes spatial arrangement using an information analysis algorithm specialized for the specific classification of animals.

[0828] (Claim 3)

[0829] The system according to claim 1, which provides design proposals that can be customized based on user input and can be viewed in real time within the store.

[0830] "Example 2 of combining an emotion engine"

[0831] (Claim 1)

[0832] A means of inputting and analyzing animal characteristic information,

[0833] A means for generating optimal spatial arrangement and color design based on the visual and sensory perception of animals,

[0834] A means of providing a virtual reality experience by creating a three-dimensional model of the generated spatial arrangement and color design,

[0835] A means of analyzing the user's emotional state and integrating it into the design in real time,

[0836] A means of re-analyzing and optimizing spatial design based on user feedback,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, which optimizes spatial arrangement using an information analysis algorithm specialized for the specific classification of animals.

[0840] (Claim 3)

[0841] The system according to claim 1, which provides a design proposal that can be adjusted according to user requirements.

[0842] "Application example 2 when combining with an emotional engine"

[0843] (Claim 1)

[0844] A means of inputting and analyzing animal characteristic data,

[0845] A means for generating optimal spatial arrangement and color design based on the visual and sensory perception of animals,

[0846] A means of providing a virtual experience by 3D modeling the generated spatial arrangement and color design,

[0847] A means of re-analyzing spatial design based on user feedback,

[0848] A means of analyzing users' emotions and reflecting them in the spatial arrangement,

[0849] Means for optimizing the space in a physical store environment for users and animals,

[0850] A system that includes this.

[0851] (Claim 2)

[0852] The system according to claim 1, which optimizes spatial arrangement using a data analysis algorithm specialized for a specific species of animal.

[0853] (Claim 3)

[0854] The system according to claim 1, which provides design proposals that can be customized based on user input and utilizes emotional data in real time. [Explanation of Symbols]

[0855] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of inputting and analyzing animal characteristic data, A means for generating optimal spatial arrangement and color design based on the visual and sensory perception of animals, A means of providing a virtual experience by 3D modeling the generated spatial arrangement and color design, A means of re-analyzing spatial design based on user feedback, A system that includes this.

2. The system according to claim 1, which optimizes spatial arrangement using a data analysis algorithm specialized for a specific animal species.

3. The system according to claim 1, which provides a design proposal that can be customized by user input.

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