System

Abstract

An object of a system according to an embodiment is to enable a general person to easily understand and execute an air quality improvement method based on Feng Shui.SOLUTION: A system includes an analysis unit, a proposal unit, and a cooperation unit. The analysis part analyzes the floor plan and the photograph of the house by using the Feng Shui AI. The proposal unit proposes a method for improving the luck on the basis of the bad luck part specified by the analysis unit. The cooperation unit proposes a product based on the method for improving the transportation condition proposed by the proposal unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Conventional techniques have had the problem that it is difficult for the average person to easily understand and practice methods for improving one's luck based on Feng Shui.

[0005] The system of the embodiment aims to enable ordinary people to easily understand and practice methods for improving their luck based on Feng Shui. [Means for solving the problem]

[0006] The system according to the embodiment includes an analysis unit, a proposal unit, and a collaboration unit. The analysis unit analyzes floor plans and photos of a home using Feng Shui AI. The proposal unit proposes methods for improving luck based on the areas of bad luck identified by the analysis unit. The collaboration unit makes product proposals based on the methods for improving luck proposed by the proposal unit. [Effects of the Invention]

[0007] The system according to the embodiment can make it possible for the general public to easily understand and practice methods for improving one's luck based on Feng Shui. [Brief explanation of the drawings]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

[0028] (Example 1) The system for providing information to improve one's luck according to an embodiment of the present invention uses Feng Shui AI to provide information to improve one's luck in a home. This system reads the layout and photos of the home, identifies areas of poor luck, and suggests ways to improve the luck. As a result, the system for providing information to improve one's luck can provide information and suggest products to improve the luck of the home.

[0029] A system for providing information to improve one's luck according to an embodiment includes an analysis unit, a suggestion unit, and a linking unit. The analysis unit uses Feng Shui AI to analyze floor plans and photos of a home. For example, when a user uploads floor plans and photos of rooms to the Feng Shui AI, the Feng Shui AI identifies areas of bad luck within the home based on the data. The Feng Shui AI analyzes the floor plans and photos using an analysis algorithm based on Feng Shui theory. The suggestion unit suggests ways to improve luck based on the areas of bad luck identified by the analysis unit. For example, the Feng Shui AI provides specific advice such as "Placing potted plants in the northeast corner of this room is good." The Feng Shui AI also suggests how to arrange furniture and decorations to improve luck. The linking unit makes product suggestions based on the methods for improving luck suggested by the suggestion unit. For example, if the Feng Shui AI suggests that "curtains of a specific color would be good for this room," the linking unit provides a link to an e-commerce site where those curtains can be purchased. This allows the system for providing information and product suggestions to improve the luck of a home. For example, users can easily improve the luck of their homes, and by linking with e-commerce sites, they can easily obtain the products they need to improve their luck.

[0030] The analysis unit can identify areas of bad luck by taking into account the history of the residence and information about past residents. For example, Feng Shui AI can collect information about the residence's history and past residents and use that information to identify areas of bad luck. For example, it can identify areas that have had many problems in the past or areas where residents have not lived for long. The analysis unit can also use Feng Shui AI to analyze information about the residence's past residents and identify areas of bad luck. For example, it can identify areas where past residents had health problems or where misfortune occurred frequently. The analysis unit can also use Feng Shui AI to identify areas of bad luck by taking into account the history of the residence. For example, it can identify areas of bad luck based on the building's renovation history and information about past accidents. In this way, it is possible to identify areas of bad luck by taking into account the history of the residence and information about past residents.

[0031] The analysis unit can simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, the analysis unit uses Feng Shui AI to analyze the acoustic environment within the home and identify areas of bad fortune. For example, it identifies areas with a lot of noise or poor sound reverberation. The analysis unit also uses Feng Shui AI to analyze the lighting conditions within the home and identify areas of bad fortune. For example, it identifies dark areas or areas with insufficient lighting. The analysis unit also uses Feng Shui AI to simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, it identifies areas with a poor balance between acoustics and lighting. This allows the acoustic environment and lighting conditions within the home to be analyzed simultaneously to perform a comprehensive fortune evaluation.

[0032] When suggesting a method for improving luck, the suggestion unit can consider the arrangement and type of plants in the residence and evaluate the effect of the plants on luck. For example, the suggestion unit uses Feng Shui AI to suggest the arrangement of plants in the residence and evaluate the effect on luck. For example, placing houseplants in a specific location improves luck. The suggestion unit also uses Feng Shui AI to suggest the type of plants in the residence and evaluate the effect on luck. For example, the effect of a specific type of plant on luck is evaluated. The suggestion unit also uses Feng Shui AI to simultaneously suggest the arrangement and type of plants in the residence and evaluate the effect on luck. For example, placing houseplants in a specific location and selecting a specific type of plant improves luck. In this way, the effect of plants on luck can be evaluated taking into account the arrangement and type of plants in the residence.

[0033] When suggesting methods for improving one's luck, the suggestion unit can suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home. For example, the suggestion unit may have a feng shui AI suggest a selection of music in the home and evaluate the impact on luck. For example, playing relaxing music in a specific location can improve luck. The suggestion unit may also have a feng shui AI suggest a selection of fragrances in the home and evaluate the impact on luck. For example, using a relaxing fragrance in a specific location can improve luck. The suggestion unit may have a feng shui AI suggest a selection of music and fragrances in the home at the same time, suggesting a comprehensive improvement method that appeals to the five senses. For example, combining relaxing music and fragrances can improve luck. This makes it possible to suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home.

[0034] When suggesting products, the collaboration unit can suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, the collaboration unit uses Feng Shui AI to analyze the existing interior of the home and suggest highly designed products that harmonize with it. For example, it can suggest cushions whose color and design match the existing furniture. The collaboration unit also uses Feng Shui AI to suggest highly designed products, taking into consideration the interior style of the home. For example, it can suggest art pieces that go well with modern interiors. The collaboration unit also uses Feng Shui AI to suggest highly designed products, taking into consideration harmony with the interior of the home. For example, it can suggest a rug that harmonizes with existing curtains. This makes it possible to suggest highly designed products, taking into consideration harmony with the existing interior of the home.

[0035] When suggesting products, the collaboration unit can consider the energy efficiency within the home and suggest environmentally friendly products. For example, the collaboration unit uses Feng Shui AI to analyze the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest LED lighting with high energy-saving performance. The collaboration unit also uses Feng Shui AI to consider the energy consumption within the home and suggest environmentally friendly products. For example, it can suggest energy-efficient home appliances. The collaboration unit also uses Feng Shui AI to evaluate the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest solar panels that use renewable energy. In this way, it is possible to suggest environmentally friendly products by considering the energy efficiency within the home.

[0036] When suggesting products, the collaboration unit can suggest pet-friendly products by taking into consideration the health and comfort of pets in the home. For example, the collaboration unit suggests pet-friendly products by using Feng Shui AI to consider the health of pets in the home. For example, the collaboration unit suggests a comfortable bed for pets. The collaboration unit also evaluates the comfort of pets in the home and suggests pet-friendly products by using Feng Shui AI. For example, the collaboration unit suggests a cat tower where pets can relax. The collaboration unit also considers the health and comfort of pets in the home and suggests pet-friendly products by using Feng Shui AI. For example, the collaboration unit suggests an air purifier for pets. In this way, pet-friendly products can be suggested by taking into consideration the health and comfort of pets in the home.

[0037] When suggesting products, the collaboration unit can suggest products that suit the season and climate within the home, supporting the improvement of luck in each season. For example, the collaboration unit uses Feng Shui AI to consider the season and climate within the home and suggest products that support the improvement of luck in each season. For example, in summer, the collaboration unit uses Feng Shui AI to suggest products that suit the season within the home and support the improvement of luck. For example, in winter, the collaboration unit uses Feng Shui AI to suggest products that suit the season within the home and support the improvement of luck. For example, in winter, the collaboration unit uses Feng Shui AI to consider the climate within the home and suggest products that support the improvement of luck in each season. For example, during the rainy season, the collaboration unit uses Feng Shui AI to suggest products that suit the season and climate within the home and support the improvement of luck in each season.

[0038] When proposing products, the collaboration unit takes into account the family structure and lifestyle within the residence and can propose customized products that suit individual needs. For example, the collaboration unit uses Feng Shui AI to consider the family structure within the residence and propose customized products that suit individual needs. For example, it proposes highly safe furniture for households with children. The collaboration unit also uses Feng Shui AI to evaluate the lifestyle within the residence and propose customized products that suit individual needs. For example, it proposes comfortable desk chairs for households where many people work from home. The collaboration unit also uses Feng Shui AI to consider the family structure and lifestyle within the residence and propose customized products that suit individual needs. For example, it proposes barrier-free furniture for households with elderly people. This makes it possible to propose customized products that suit individual needs, taking into account the family structure and lifestyle within the residence.

[0039] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0040] When analyzing floor plans and photos of the residence, the analysis unit takes into account the resident's health data and can identify spaces that are good for health. For example, Feng Shui AI collects the resident's health data and identifies spaces that are good for health based on that data. For example, it identifies places where the resident can sleep well or relax. The analysis unit also analyzes the resident's health data and identifies spaces that are good for health. For example, it identifies places where the resident feels less stressed or where the resident can relax. The analysis unit also considers the resident's health data and identifies spaces that are good for health based on the resident's health data. For example, it identifies places where the resident often spends time or their favorite places based on the health data. In this way, it is possible to identify spaces that are good for health based on the resident's health data.

[0041] The analysis unit can identify areas of bad luck by taking into account the history of the residence and information about past residents. For example, Feng Shui AI collects information about the residence's history and past residents and identifies areas of bad luck based on that information. For example, it identifies areas that have had many problems in the past or areas where residents have not lived for long. The analysis unit also uses Feng Shui AI to analyze information about the residence's past residents and identify areas of bad luck. For example, it identifies areas where past residents had health problems or where misfortune occurred frequently. The analysis unit also uses Feng Shui AI to identify areas of bad luck by taking into account the history of the residence. For example, it identifies areas of bad luck based on the building's renovation history and information about past accidents. In this way, it is possible to identify areas of bad luck by taking into account the history of the residence and information about past residents.

[0042] The analysis unit can simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, Feng Shui AI can analyze the acoustic environment within the home to identify areas of bad fortune. For example, it can identify areas with a lot of noise or poor sound reverberation. The analysis unit can also analyze the lighting conditions within the home to identify areas of bad fortune. For example, it can identify dark areas or areas with insufficient lighting. The analysis unit can also simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, it can identify areas with a poor balance between acoustics and lighting. This allows the acoustic environment and lighting conditions within the home to be analyzed simultaneously to perform a comprehensive fortune evaluation.

[0043] When suggesting a method for improving one's luck, the suggestion unit can take into account the placement and type of plants in the residence and evaluate the impact that plants have on luck. For example, Feng Shui AI can suggest placement of plants in the residence and evaluate the impact that they have on luck. For example, placing houseplants in a specific location can improve luck. The suggestion unit can also suggest types of plants in the residence and evaluate the impact that they have on luck. For example, the suggestion unit can evaluate the impact that specific types of plants have on luck. The suggestion unit can also suggest placement and type of plants in the residence at the same time and evaluate the impact that they have on luck. For example, placing houseplants in a specific location and selecting specific types of plants can improve luck. In this way, the impact that plants have on luck can be evaluated taking into account the placement and type of plants in the residence.

[0044] When suggesting methods to improve one's luck, the suggestion unit can suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home. For example, the Feng Shui AI suggests the selection of music in the home and evaluates its impact on luck. For example, playing relaxing music in a specific location can improve luck. The suggestion unit also suggests the selection of fragrances in the home and evaluates their impact on luck. For example, using relaxing fragrances in a specific location can improve luck. The suggestion unit also suggests the selection of music and fragrances in the home at the same time, suggesting comprehensive improvement methods that appeal to the five senses. For example, combining relaxing music and fragrances can improve luck. This makes it possible to suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home.

[0045] When suggesting products, the collaboration unit can suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, Feng Shui AI can analyze the existing interior of the home and suggest highly designed products that harmonize with it. For example, it can suggest cushions whose color and design match the existing furniture. The collaboration unit can also suggest highly designed products, taking into consideration the interior style of the home, using Feng Shui AI. For example, it can suggest art pieces that go well with modern interiors. The collaboration unit can also suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, it can suggest a rug that harmonizes with existing curtains. This allows the collaboration unit to suggest highly designed products, taking into consideration harmony with the existing interior of the home.

[0046] When suggesting products, the collaboration unit can consider the energy efficiency within the home and suggest environmentally friendly products. For example, Feng Shui AI can analyze the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest highly energy-efficient LED lighting. The collaboration unit can also consider the energy consumption within the home and suggest environmentally friendly products. For example, it can suggest energy-efficient home appliances. The collaboration unit can also evaluate the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest solar panels that use renewable energy. In this way, it can consider the energy efficiency within the home and suggest environmentally friendly products.

[0047] The processing flow of the first embodiment will be briefly explained below.

[0048] Step 1: The analysis unit uses Feng Shui AI to analyze the floor plan and photos of the home. When a user uploads their home's floor plan and photos of the rooms to the Feng Shui AI, the Feng Shui AI uses that data to identify areas of bad luck within the home. The Feng Shui AI uses an analytical algorithm based on Feng Shui theory to analyze the floor plan and photos of the home. Step 2: The suggestion unit suggests ways to improve luck based on the areas of bad luck identified by the analysis unit. For example, the Feng Shui AI provides specific advice such as "Placing a potted plant in the northeast corner of this room would be good." The Feng Shui AI also suggests how to arrange furniture and decorations to improve luck. Step 3: The collaboration department makes product recommendations based on the luck-improvement methods proposed by the proposal department. For example, if the Feng Shui AI suggests that "curtains of a certain color would be good for this room," it will provide a link to an e-commerce site where those curtains can be purchased.

[0049] (Example 2) The system for providing information to improve one's luck according to an embodiment of the present invention uses Feng Shui AI to provide information to improve one's luck in a home. This system reads the layout and photos of the home, identifies areas of poor luck, and suggests ways to improve the luck. As a result, the system for providing information to improve one's luck can provide information and suggest products to improve the luck of the home.

[0050] A system for providing information to improve one's luck according to an embodiment includes an analysis unit, a suggestion unit, and a linking unit. The analysis unit uses Feng Shui AI to analyze floor plans and photos of a home. For example, when a user uploads floor plans and photos of rooms to the Feng Shui AI, the Feng Shui AI identifies areas of bad luck within the home based on the data. The Feng Shui AI analyzes the floor plans and photos using an analysis algorithm based on Feng Shui theory. The suggestion unit suggests ways to improve luck based on the areas of bad luck identified by the analysis unit. For example, the Feng Shui AI provides specific advice such as "Placing potted plants in the northeast corner of this room is good." The Feng Shui AI also suggests how to arrange furniture and decorations to improve luck. The linking unit makes product suggestions based on the methods for improving luck suggested by the suggestion unit. For example, if the Feng Shui AI suggests that "curtains of a specific color would be good for this room," the linking unit provides a link to an e-commerce site where those curtains can be purchased. This allows the system for providing information and product suggestions to improve the luck of a home. For example, users can easily improve the luck of their homes, and by linking with e-commerce sites, they can easily obtain the products they need to improve their luck.

[0051] When analyzing floor plans and photos of a residence, the analysis unit uses an emotion estimation function to consider the emotional state of the resident and identify emotionally positive spaces. For example, when Feng Shui AI analyzes floor plans and photos of a residence, the analysis unit estimates the emotional state of the resident in real time and identifies emotionally positive spaces. For example, it identifies places where the resident can relax and where they are less likely to feel stressed. The analysis unit also uses Feng Shui AI to analyze photos of the residence and estimate the emotional state from the resident's facial expressions and posture. For example, it identifies places where there are many smiles and relaxed postures as positive spaces. The analysis unit also uses Feng Shui AI to analyze floor plans of the residence and identify positive spaces by considering the resident's emotional state. For example, it identifies places where the resident often spends time and their favorite places based on emotional data. This makes it possible to identify emotionally positive spaces by considering the resident's emotional state.

[0052] The analysis unit can identify areas of bad luck by taking into account the history of the residence and information about past residents. For example, Feng Shui AI can collect information about the residence's history and past residents and use that information to identify areas of bad luck. For example, it can identify areas that have had many problems in the past or areas where residents have not lived for long. The analysis unit can also use Feng Shui AI to analyze information about the residence's past residents and identify areas of bad luck. For example, it can identify areas where past residents had health problems or where misfortune occurred frequently. The analysis unit can also use Feng Shui AI to identify areas of bad luck by taking into account the history of the residence. For example, it can identify areas of bad luck based on the building's renovation history and information about past accidents. In this way, it is possible to identify areas of bad luck by taking into account the history of the residence and information about past residents.

[0053] The analysis unit can simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, the analysis unit uses Feng Shui AI to analyze the acoustic environment within the home and identify areas of bad fortune. For example, it identifies areas with a lot of noise or poor sound reverberation. The analysis unit also uses Feng Shui AI to analyze the lighting conditions within the home and identify areas of bad fortune. For example, it identifies dark areas or areas with insufficient lighting. The analysis unit also uses Feng Shui AI to simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, it identifies areas with a poor balance between acoustics and lighting. This allows the acoustic environment and lighting conditions within the home to be analyzed simultaneously to perform a comprehensive fortune evaluation.

[0054] When suggesting methods to improve luck, the suggestion unit can use the emotion estimation function to consider the emotional state of the resident and suggest emotionally positive improvement methods. For example, when the Feng Shui AI suggests methods to improve luck, the suggestion unit estimates the emotional state of the resident in real time and suggests emotionally positive improvement methods. For example, it suggests furniture placement that will allow the resident to relax. The suggestion unit also analyzes the emotional state of the resident and suggests emotionally positive improvement methods. For example, it suggests colors and placement of decorative items that will bring joy to the resident. The suggestion unit also considers the emotional state of the resident and suggests emotionally positive improvement methods. For example, it suggests lighting placement that will give the resident a sense of security. In this way, it is possible to consider the emotional state of the resident and suggest emotionally positive improvement methods.

[0055] When suggesting a method for improving luck, the suggestion unit can consider the arrangement and type of plants in the residence and evaluate the effect of the plants on luck. For example, the suggestion unit uses Feng Shui AI to suggest the arrangement of plants in the residence and evaluate the effect on luck. For example, placing houseplants in a specific location improves luck. The suggestion unit also uses Feng Shui AI to suggest the type of plants in the residence and evaluate the effect on luck. For example, the effect of a specific type of plant on luck is evaluated. The suggestion unit also uses Feng Shui AI to simultaneously suggest the arrangement and type of plants in the residence and evaluate the effect on luck. For example, placing houseplants in a specific location and selecting a specific type of plant improves luck. In this way, the effect of plants on luck can be evaluated taking into account the arrangement and type of plants in the residence.

[0056] When suggesting methods for improving one's luck, the suggestion unit can suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home. For example, the suggestion unit may have a feng shui AI suggest a selection of music in the home and evaluate the impact on luck. For example, playing relaxing music in a specific location can improve luck. The suggestion unit may also have a feng shui AI suggest a selection of fragrances in the home and evaluate the impact on luck. For example, using a relaxing fragrance in a specific location can improve luck. The suggestion unit may have a feng shui AI suggest a selection of music and fragrances in the home at the same time, suggesting a comprehensive improvement method that appeals to the five senses. For example, combining relaxing music and fragrances can improve luck. This makes it possible to suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home.

[0057] When suggesting products, the collaboration unit can use the emotion estimation function to consider the emotional state of the resident and suggest products that have a positive emotional impact. For example, the collaboration unit can estimate the emotional state of the resident in real time when suggesting products using the Feng Shui AI, and suggest products that have a positive emotional impact. For example, it can suggest an aroma diffuser that has a relaxing effect. The collaboration unit can also use the Feng Shui AI to analyze the emotional state of the resident and suggest products that have a positive emotional impact. For example, it can suggest curtains in colors that bring joy to the resident. The collaboration unit can also use the Feng Shui AI to consider the emotional state of the resident and suggest products that have a positive emotional impact. For example, it can suggest furniture with a design that gives the resident a sense of security. In this way, it is possible to suggest products that have a positive emotional impact by considering the emotional state of the resident.

[0058] When suggesting products, the collaboration unit can suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, the collaboration unit uses Feng Shui AI to analyze the existing interior of the home and suggest highly designed products that harmonize with it. For example, it can suggest cushions whose color and design match the existing furniture. The collaboration unit also uses Feng Shui AI to suggest highly designed products, taking into consideration the interior style of the home. For example, it can suggest art pieces that go well with modern interiors. The collaboration unit also uses Feng Shui AI to suggest highly designed products, taking into consideration harmony with the interior of the home. For example, it can suggest a rug that harmonizes with existing curtains. This makes it possible to suggest highly designed products, taking into consideration harmony with the existing interior of the home.

[0059] When suggesting products, the collaboration unit can consider the energy efficiency within the home and suggest environmentally friendly products. For example, the collaboration unit uses Feng Shui AI to analyze the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest LED lighting with high energy-saving performance. The collaboration unit also uses Feng Shui AI to consider the energy consumption within the home and suggest environmentally friendly products. For example, it can suggest energy-efficient home appliances. The collaboration unit also uses Feng Shui AI to evaluate the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest solar panels that use renewable energy. In this way, it is possible to suggest environmentally friendly products by considering the energy efficiency within the home.

[0060] When suggesting products, the collaboration unit can suggest pet-friendly products by taking into consideration the health and comfort of pets in the home. For example, the collaboration unit suggests pet-friendly products by using Feng Shui AI to consider the health of pets in the home. For example, the collaboration unit suggests a comfortable bed for pets. The collaboration unit also evaluates the comfort of pets in the home and suggests pet-friendly products by using Feng Shui AI. For example, the collaboration unit suggests a cat tower where pets can relax. The collaboration unit also considers the health and comfort of pets in the home and suggests pet-friendly products by using Feng Shui AI. For example, the collaboration unit suggests an air purifier for pets. In this way, pet-friendly products can be suggested by taking into consideration the health and comfort of pets in the home.

[0061] When suggesting products, the collaboration unit can suggest products that suit the season and climate within the home, supporting the improvement of luck in each season. For example, the collaboration unit uses Feng Shui AI to consider the season and climate within the home and suggest products that support the improvement of luck in each season. For example, in summer, the collaboration unit uses Feng Shui AI to suggest products that suit the season within the home and support the improvement of luck. For example, in winter, the collaboration unit uses Feng Shui AI to suggest products that suit the season within the home and support the improvement of luck. For example, in winter, the collaboration unit uses Feng Shui AI to consider the climate within the home and suggest products that support the improvement of luck in each season. For example, during the rainy season, the collaboration unit uses Feng Shui AI to suggest products that suit the season and climate within the home and support the improvement of luck in each season.

[0062] When proposing products, the collaboration unit takes into account the family structure and lifestyle within the residence and can propose customized products that suit individual needs. For example, the collaboration unit uses Feng Shui AI to consider the family structure within the residence and propose customized products that suit individual needs. For example, it proposes highly safe furniture for households with children. The collaboration unit also uses Feng Shui AI to evaluate the lifestyle within the residence and propose customized products that suit individual needs. For example, it proposes comfortable desk chairs for households where many people work from home. The collaboration unit also uses Feng Shui AI to consider the family structure and lifestyle within the residence and propose customized products that suit individual needs. For example, it proposes barrier-free furniture for households with elderly people. This makes it possible to propose customized products that suit individual needs, taking into account the family structure and lifestyle within the residence.

[0063] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0064] When analyzing floor plans and photos of the residence, the analysis unit takes into account the resident's health data and can identify spaces that are good for health. For example, Feng Shui AI collects the resident's health data and identifies spaces that are good for health based on that data. For example, it identifies places where the resident can sleep well or relax. The analysis unit also analyzes the resident's health data and identifies spaces that are good for health. For example, it identifies places where the resident feels less stressed or where the resident can relax. The analysis unit also considers the resident's health data and identifies spaces that are good for health based on the resident's health data. For example, it identifies places where the resident often spends time or their favorite places based on the health data. In this way, it is possible to identify spaces that are good for health based on the resident's health data.

[0065] When analyzing floor plans and photos of a residence, the analysis unit uses an emotion estimation function to consider the emotional state of the resident and identify emotionally positive spaces. For example, when Feng Shui AI analyzes floor plans and photos of a residence, it estimates the resident's emotional state in real time and identifies emotionally positive spaces. For example, it identifies places where the resident can relax and where they are less likely to feel stressed. The analysis unit also uses Feng Shui AI to analyze photos of the residence and estimate the resident's emotional state from their facial expressions and posture. For example, it identifies places where there are many smiles and relaxed postures as positive spaces. The analysis unit also uses Feng Shui AI to analyze floor plans of the residence and identify positive spaces by considering the resident's emotional state. For example, it identifies places where the resident often spends time and their favorite places based on emotional data. This makes it possible to identify emotionally positive spaces by considering the resident's emotional state.

[0066] The analysis unit can identify areas of bad luck by taking into account the history of the residence and information about past residents. For example, Feng Shui AI collects information about the residence's history and past residents and identifies areas of bad luck based on that information. For example, it identifies areas that have had many problems in the past or areas where residents have not lived for long. The analysis unit also uses Feng Shui AI to analyze information about the residence's past residents and identify areas of bad luck. For example, it identifies areas where past residents had health problems or where misfortune occurred frequently. The analysis unit also uses Feng Shui AI to identify areas of bad luck by taking into account the history of the residence. For example, it identifies areas of bad luck based on the building's renovation history and information about past accidents. In this way, it is possible to identify areas of bad luck by taking into account the history of the residence and information about past residents.

[0067] The analysis unit can simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, Feng Shui AI can analyze the acoustic environment within the home to identify areas of bad fortune. For example, it can identify areas with a lot of noise or poor sound reverberation. The analysis unit can also analyze the lighting conditions within the home to identify areas of bad fortune. For example, it can identify dark areas or areas with insufficient lighting. The analysis unit can also simultaneously analyze the acoustic environment and lighting conditions within the home to perform a comprehensive fortune evaluation. For example, it can identify areas with a poor balance between acoustics and lighting. This allows the acoustic environment and lighting conditions within the home to be analyzed simultaneously to perform a comprehensive fortune evaluation.

[0068] When suggesting methods to improve luck, the suggestion unit can use the emotion estimation function to consider the emotional state of the resident and suggest emotionally positive improvement methods. For example, when the Feng Shui AI suggests methods to improve luck, it estimates the emotional state of the resident in real time and suggests emotionally positive improvement methods. For example, it suggests furniture placement that will allow the resident to relax. The suggestion unit also analyzes the emotional state of the resident and suggests emotionally positive improvement methods. For example, it suggests colors and decorative placement that will bring joy to the resident. The suggestion unit also considers the emotional state of the resident and suggests emotionally positive improvement methods. For example, it suggests lighting placement that will give the resident a sense of security. In this way, it is possible to suggest emotionally positive improvement methods by taking the emotional state of the resident into consideration.

[0069] When suggesting a method for improving one's luck, the suggestion unit can take into account the placement and type of plants in the residence and evaluate the impact that plants have on luck. For example, Feng Shui AI can suggest placement of plants in the residence and evaluate the impact that they have on luck. For example, placing houseplants in a specific location can improve luck. The suggestion unit can also suggest types of plants in the residence and evaluate the impact that they have on luck. For example, the suggestion unit can evaluate the impact that specific types of plants have on luck. The suggestion unit can also suggest placement and type of plants in the residence at the same time and evaluate the impact that they have on luck. For example, placing houseplants in a specific location and selecting specific types of plants can improve luck. In this way, the impact that plants have on luck can be evaluated taking into account the placement and type of plants in the residence.

[0070] When suggesting methods to improve one's luck, the suggestion unit can suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home. For example, the Feng Shui AI suggests the selection of music in the home and evaluates its impact on luck. For example, playing relaxing music in a specific location can improve luck. The suggestion unit also suggests the selection of fragrances in the home and evaluates their impact on luck. For example, using relaxing fragrances in a specific location can improve luck. The suggestion unit also suggests the selection of music and fragrances in the home at the same time, suggesting comprehensive improvement methods that appeal to the five senses. For example, combining relaxing music and fragrances can improve luck. This makes it possible to suggest comprehensive improvement methods that appeal to the five senses, including the selection of music and fragrances in the home.

[0071] When suggesting products, the collaboration unit uses the emotion estimation function to consider the emotional state of the resident and can suggest products that have a positive emotional impact. For example, when suggesting products, the Feng Shui AI estimates the emotional state of the resident in real time and suggests products that have a positive emotional impact. For example, it could suggest an aroma diffuser that has a relaxing effect. The collaboration unit also analyzes the emotional state of the resident using the Feng Shui AI and suggests products that have a positive emotional impact. For example, it could suggest curtains in colors that bring joy to the resident. The collaboration unit also considers the emotional state of the resident using the Feng Shui AI and suggests products that have a positive emotional impact. For example, it could suggest furniture with a design that gives the resident a sense of security. In this way, it is possible to suggest products that have a positive emotional impact by considering the emotional state of the resident.

[0072] When suggesting products, the collaboration unit can suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, Feng Shui AI can analyze the existing interior of the home and suggest highly designed products that harmonize with it. For example, it can suggest cushions whose color and design match the existing furniture. The collaboration unit can also suggest highly designed products, taking into consideration the interior style of the home, using Feng Shui AI. For example, it can suggest art pieces that go well with modern interiors. The collaboration unit can also suggest highly designed products, taking into consideration harmony with the existing interior of the home. For example, it can suggest a rug that harmonizes with existing curtains. This allows the collaboration unit to suggest highly designed products, taking into consideration harmony with the existing interior of the home.

[0073] When suggesting products, the collaboration unit can consider the energy efficiency within the home and suggest environmentally friendly products. For example, Feng Shui AI can analyze the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest highly energy-efficient LED lighting. The collaboration unit can also consider the energy consumption within the home and suggest environmentally friendly products. For example, it can suggest energy-efficient home appliances. The collaboration unit can also evaluate the energy efficiency within the home and suggest environmentally friendly products. For example, it can suggest solar panels that use renewable energy. In this way, it can consider the energy efficiency within the home and suggest environmentally friendly products.

[0074] The processing flow of the second embodiment will be briefly explained below.

[0075] Step 1: The analysis unit uses Feng Shui AI to analyze the floor plan and photos of the home. When a user uploads their home's floor plan and photos of the rooms to the Feng Shui AI, the Feng Shui AI uses that data to identify areas of bad luck within the home. The Feng Shui AI uses an analytical algorithm based on Feng Shui theory to analyze the floor plan and photos of the home. Step 2: The suggestion unit suggests ways to improve luck based on the areas of bad luck identified by the analysis unit. For example, the Feng Shui AI provides specific advice such as "Placing a potted plant in the northeast corner of this room would be good." The Feng Shui AI also suggests how to arrange furniture and decorations to improve luck. Step 3: The collaboration department makes product recommendations based on the luck-improvement methods proposed by the proposal department. For example, if the Feng Shui AI suggests that "curtains of a certain color would be good for this room," it will provide a link to an e-commerce site where those curtains can be purchased.

[0076] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0077] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0078] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0079] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0080] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0081] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0082] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0083] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0084] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0085] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0086] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0087] 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.

[0088] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0089] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0090] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0091] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0092] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0093] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0094] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0095] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0096] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0097] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0098] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0099] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0100] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0101] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0102] 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.

[0103] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0104] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0105] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0106] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0107] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0108] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0109] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0110] 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.

[0111] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0112] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0113] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0114] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0115] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0116] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0117] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0118] 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.

[0119] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0120] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0121] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0122] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0123] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AI other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0124] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0125] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0126] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0127] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0128] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0129] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0130] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0131] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0132] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0133] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0134] 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.

[0135] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0136] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0137] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0138] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0139] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0140] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0141] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0142] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0143] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. An analysis section that uses Feng Shui AI to analyze floor plans and photos of homes, a suggestion unit that suggests a method for improving luck based on the bad luck areas identified by the analysis unit; a linking unit that makes product suggestions based on the luck improvement method suggested by the suggestion unit; A system characterized by:

2. The analysis unit Consider the emotional state of the occupants when analyzing floor plans and photos of the home to identify emotionally positive spaces 2. The system of claim 1.

3. The analysis unit Identify the bad luck areas by taking into account the history of the house and information about past residents.

2. The system of claim 1.

4. The analysis unit The acoustic environment and lighting conditions within the residence are simultaneously analyzed to provide a comprehensive fortune assessment.

2. The system of claim 1.

5. The proposal unit When proposing the methods to improve one's luck, the emotional state of the resident is taken into consideration and an emotionally positive improvement method is proposed.

2. The system of claim 1.

6. The proposal unit When proposing the method for improving one's luck, the placement and type of plants in the residence are taken into consideration, and the influence of the plants on one's luck is evaluated.

2. The system of claim 1.

7. The proposal unit When proposing the method for improving one's luck, we will propose a comprehensive improvement method that appeals to the five senses, including the selection of music and fragrances in the residence.

2. The system of claim 1.

8. The linking unit is When suggesting products, consider the emotional state of the resident and suggest products that will have a positive emotional impact.

2. The system of claim 1.

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