system

Abstract

The system according to this embodiment aims to incorporate feng shui into daily life, identify auspicious locations and travel routes according to feng shui principles, and provide advice to the user. [Solution] The system according to the embodiment comprises an integration unit, a specification unit, and a provision unit. The integration unit integrates feng shui data. The specification unit identifies auspicious locations and travel routes based on the feng shui data integrated by the integration unit. The provision unit provides advice to the user based on the auspicious locations and travel routes identified by the specification unit.

Description

Technical Field

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

Background Art

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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there is a problem that the methods of incorporating feng shui into daily life are limited and it is difficult to understand and utilize the feng shui essence.

[0005] The system according to the embodiment aims to incorporate feng shui into daily life, identify feng shui-friendly locations and movement routes, and provide advice to users.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an integration unit, a specification unit, and a provision unit. The integration unit integrates feng shui data. The specification unit identifies auspicious locations and travel routes based on the feng shui data integrated by the integration unit. The provision unit provides advice to the user based on the auspicious locations and travel routes identified by the specification unit. [Effects of the Invention]

[0007] The system according to this embodiment can incorporate feng shui into daily life, identify auspicious locations and travel routes according to feng shui principles, and provide advice to the user. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

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

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

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

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

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

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

[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, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are 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 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

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

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

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction 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 a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) An AI system according to an embodiment of the present invention is a system for incorporating the principles of Feng Shui into daily life. This system integrates Feng Shui data, identifies Feng Shui-friendly locations and travel routes, and provides advice to the user. For example, the AI ​​system integrates Feng Shui data in conjunction with a map application to identify Feng Shui-friendly locations and travel routes. When the user is heading to a destination, it can guide them along a Feng Shui-friendly route. This allows the user to benefit from Feng Shui even in their daily travels. Next, the AI ​​system utilizes generative AI to provide advice based on Feng Shui principles regarding the user's home or office environment. For example, it can suggest methods for improving furniture placement and design from a Feng Shui perspective. This allows the user to optimize their living space from a Feng Shui perspective. Furthermore, the AI ​​system tracks behavior and provides feedback on effective Feng Shui routes and spatial arrangements. For example, it can evaluate and report the positive changes brought about by the route and arrangement chosen by the user. This makes it easier for the user to experience the effects of Feng Shui. This mechanism can support a balanced daily life through Feng Shui. Users can easily utilize the wisdom of Feng Shui and improve their sense of well-being by improving the luck of places and routes. Furthermore, AI support makes it easier to understand the essence of Feng Shui. This allows the AI ​​system to incorporate Feng Shui principles into daily life.

[0029] The AI ​​system according to the embodiment comprises an integration unit, a specification unit, and a provision unit. The integration unit integrates feng shui data. The feng shui data includes, but is not limited to, geographical data, building layout data, and environmental data. The integration unit may, for example, acquire geographical data and integrate it with building layout data. The integration unit may also acquire environmental data and integrate it with geographical data. The specification unit identifies auspicious locations and travel routes based on the feng shui data integrated by the integration unit. Auspicious locations and travel routes are identified, for example, according to evaluation criteria based on feng shui principles, but is not limited to such examples. The specification unit may, for example, evaluate the geographical data and building layout data based on feng shui principles to identify auspicious locations. The specification unit may also evaluate environmental data based on feng shui principles to identify auspicious travel routes. The provision unit provides advice to the user based on the auspicious locations and travel routes identified by the specification unit. The advice is provided, for example, in the form of text messages or voice guides, but is not limited to such examples. The provisioning unit, for example, guides the user to a location considered auspicious according to feng shui principles. The provisioning unit can also advise the user on actions to take in such a location. This allows the AI ​​system according to the embodiment to incorporate the principles of feng shui into daily life. Some or all of the above-described processes in the integration unit, identification unit, and provisioning unit may be performed using AI, for example, or not using AI. For example, the integration unit inputs geographical data and building layout data into the AI, which then integrates the data. The identification unit inputs the integrated data into the AI, which then identifies locations and routes considered auspicious according to feng shui principles. The provisioning unit inputs the identified locations and routes into the AI, which then provides advice to the user.

[0030] The Integration Department integrates Feng Shui data. Feng Shui data includes, but is not limited to, geographical data, building location data, and environmental data. Specifically, geographical data includes topographic relief, the location of rivers and lakes, and road networks. This data is often obtained using Geographic Information Systems (GIS). Building location data includes the location, shape, height, and use of buildings, and is obtained from urban planning databases and architectural drawings. Environmental data includes meteorological data such as temperature, humidity, wind direction, and sunshine duration, as well as vegetation, soil type, and geological data. This data is obtained from weather stations and environmental monitoring systems. The Integration Department integrates this diverse data and centrally manages the information necessary for Feng Shui evaluation. For example, when acquiring geographical data and integrating it with building location data, a Geographic Information System (GIS) is used to accurately plot the building locations on a map. Similarly, when acquiring environmental data and integrating it with geographical data, meteorological data is overlaid on the map, allowing for a visual understanding of the climate conditions of a specific region. This allows the Integration Unit to efficiently integrate the diverse data necessary for feng shui evaluations and provide it in a format usable by the Specific Unit and the Provision Unit. Furthermore, the Integration Unit is designed to easily update and add data, enabling rapid response when new data is acquired. For example, if a new building is constructed or weather conditions change, the Integration Unit automatically updates the data, allowing for feng shui evaluations based on the latest information. As a result, the Integration Unit can always support highly accurate feng shui evaluations based on the most up-to-date data.

[0031] The specific unit identifies auspicious locations and travel routes based on feng shui data integrated by the integration unit. These auspicious locations and routes are identified according to evaluation criteria based on feng shui principles, but are not limited to such examples. Specifically, feng shui principles include topographic shape and orientation, building placement, and environmental harmony. The specific unit evaluates geographical and building placement data based on these principles to identify auspicious locations. For example, a gently sloping hilly area with surrounding water is considered auspicious. Similarly, a building facing south and in harmony with surrounding buildings is also considered auspicious. The specific unit analyzes geographical and building placement data based on these evaluation criteria to identify auspicious locations. Furthermore, the specific unit can also evaluate environmental data based on feng shui principles to identify auspicious travel routes. For example, it considers wind direction and sunshine duration to identify auspicious travel routes. Routes with consistent wind direction and long sunshine durations are considered auspicious. The system analyzes environmental data based on these evaluation criteria to identify auspicious travel routes according to feng shui principles. Furthermore, the system uses AI to analyze this data and identify auspicious locations and travel routes according to feng shui principles. The AI ​​can predict auspicious locations and travel routes based on past data and statistical information. For example, an AI that has learned from past feng shui evaluation data can identify auspicious locations and travel routes with high accuracy based on new data. As a result, the system can perform highly accurate evaluations based on feng shui principles and provide users with the optimal locations and routes.

[0032] The service provider offers advice to users based on feng shui-friendly locations and travel routes identified by the specific unit. This advice may be provided in various forms, such as text messages or voice guidance, but is not limited to these examples. Specifically, the service provider guides users to feng shui-friendly locations via their devices. For example, it displays the optimal travel route to a feng shui-friendly location through a smartphone application. The service provider can also advise users on actions within feng shui-friendly locations, such as seating positions, furniture arrangement, and plant placement. This allows users to create a living environment based on feng shui principles. Furthermore, the service provider uses AI to optimize advice for users. The AI ​​learns from users' past behavioral data and feedback to provide personalized advice. For example, based on user responses to previously provided advice, the AI ​​adjusts the content and format of the advice to provide more effective guidance. The service provider also uses multiple communication methods to ensure reliable information transmission. For example, it uses smartphone notifications in conjunction with voice calls, SMS, and email to ensure important information is delivered reliably. This allows the service provider to quickly and reliably provide users with actionable instructions, enabling them to incorporate the principles of Feng Shui into their daily lives. Furthermore, the service provider can collect user feedback and continuously improve the accuracy and effectiveness of the advice. For example, based on feedback from users who have received advice, the content and format of the advice can be reviewed to provide more effective advice. In this way, the service provider can provide users with highly accurate and effective advice, enabling them to incorporate the principles of Feng Shui into their daily lives.

[0033] The service provider can provide advice based on the principles of Feng Shui regarding the user's home or office environment. For example, the service provider can acquire data on the user's home or office environment and evaluate it based on Feng Shui principles. For example, the service provider can propose methods to improve the arrangement and design of furniture from a Feng Shui perspective. For example, the service provider can create a Feng Shui-friendly environment by changing the arrangement of furniture. The service provider can also create a Feng Shui-friendly environment by changing the design of furniture. In this way, by providing advice to optimize the user's home or office environment from a Feng Shui perspective, the luck of the living space can be improved. Feng Shui principles include, but are not limited to, the theory of Yin and Yang and the Five Elements and the Eight Trigrams. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider can input data on the user's home or office environment into AI, which will evaluate it based on Feng Shui principles and provide advice.

[0034] The service provider can propose methods for improving furniture arrangement and design according to feng shui principles. For example, the service provider can acquire data on the user's home or office environment and evaluate it based on feng shui principles. For example, the service provider can create a feng shui-friendly environment by changing the furniture arrangement. The service provider can also create a feng shui-friendly environment by changing the furniture design. In this way, by proposing methods for improving furniture arrangement and design according to feng shui principles, the luck of the living space can be improved. Methods for improving according to feng shui principles include, but are not limited to, furniture arrangement methods and color selection. Some or all of the above processing by the service provider may be performed using, for example, AI, or not using AI. For example, the service provider can input data on the user's home or office environment into AI, which will evaluate it based on feng shui principles and propose methods for improving furniture arrangement and design.

[0035] The service provider can track user behavior and provide feedback on effective feng shui routes and spatial arrangements. For example, the service provider can acquire user behavior data and evaluate it based on feng shui principles. For example, the service provider can evaluate and report on the positive changes brought about by the route and arrangement chosen by the user. For example, the service provider can evaluate whether the route chosen by the user is feng shui auspicious and provide feedback. The service provider can also evaluate whether the arrangement chosen by the user is feng shui auspicious and provide feedback. This makes it easier for users to experience the effects of feng shui by tracking their behavior and providing feedback on effective feng shui routes and spatial arrangements. Methods for tracking user behavior include, but are not limited to, the use of GPS data and the collection of behavior logs. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input user behavior data into AI, which can evaluate it based on feng shui principles and provide feedback.

[0036] The service provider can evaluate and report on the positive changes brought about by the route and layout selected by the user. For example, the service provider can acquire user behavior data and evaluate it based on the principles of Feng Shui. For example, the service provider can evaluate whether the route selected by the user is auspicious from a Feng Shui perspective and report on the positive changes. The service provider can also evaluate whether the layout selected by the user is auspicious from a Feng Shui perspective and report on the positive changes. This makes it easier for users to experience the effects of Feng Shui by evaluating and reporting on the positive changes brought about by the route and layout selected by the user. Positive changes include, but are not limited to, improvements in health or increased work efficiency. Some or all of the above processing in the service provider may be performed using AI, for example, or not using AI. For example, the service provider can input user behavior data into AI, which can evaluate it based on the principles of Feng Shui and report on the positive changes.

[0037] The integration unit can analyze the user's past travel history and select the optimal method for integrating feng shui data. For example, the integration unit can acquire the user's past travel history and evaluate it based on feng shui principles. For example, the integration unit can integrate optimal feng shui data based on places the user has frequently visited in the past. The integration unit can also integrate feng shui data to avoid congestion based on the user's past travel history. Furthermore, the integration unit can analyze the user's past travel history and select the most efficient method for integrating feng shui data. This allows the optimal method for integrating feng shui data to be selected by analyzing the user's past travel history. Past travel history includes, but is not limited to, the use of GPS data and analysis of travel logs. Some or all of the above processing in the integration unit may be performed using, for example, AI, or not using AI. For example, the integration unit can input the user's past travel history data into AI, and the AI ​​can select the optimal integration method.

[0038] The integration unit can filter feng shui data based on the user's current lifestyle and areas of interest during integration. For example, the integration unit obtains the user's current lifestyle and areas of interest and evaluates them based on feng shui principles. For instance, if the user is interested in health, the integration unit will prioritize integrating feng shui data that is beneficial for health. It can also integrate feng shui data suitable for work if the user wants to concentrate on work. Furthermore, if the user wants to relax, the integration unit can integrate feng shui data suitable for relaxation. This allows for the integration of more relevant data by filtering feng shui data based on the user's current lifestyle and areas of interest. Current lifestyle and areas of interest include, but are not limited to, survey results and social media analysis. Some or all of the above processing in the integration unit may be performed using AI, or not. For example, the integration unit inputs data on the user's lifestyle and areas of interest into an AI, which then performs the filtering.

[0039] The integration unit can prioritize the integration of highly relevant data based on the user's geographical location information when integrating feng shui data. For example, the integration unit acquires the user's geographical location information and evaluates it based on the principles of feng shui. For example, if the user is in an urban area, the integration unit will prioritize the integration of feng shui data suitable for urban areas. The integration unit can also prioritize the integration of feng shui data suitable for suburban areas if the user is in a suburban area. Furthermore, if the user is in a specific region, the integration unit can prioritize the integration of feng shui data related to that region. This allows for the provision of more appropriate data by integrating highly relevant data based on the user's geographical location information. Geographical location information includes, but is not limited to, the use of GPS data or the analysis of map data. Some or all of the above processing in the integration unit may be performed using, for example, AI, or not using AI. For example, the integration unit inputs the user's geographical location information into the AI, and the AI ​​prioritizes the integration of highly relevant data.

[0040] The integration unit can analyze a user's social media activity and integrate relevant data when integrating feng shui data. For example, the integration unit can acquire a user's social media activity and evaluate it based on feng shui principles. For instance, if a user posts about health on social media, the integration unit can integrate health-related feng shui data. It can also integrate work-related feng shui data if the user posts about work. Furthermore, if a user posts about relaxation, the integration unit can integrate relaxation-related feng shui data. This allows for the integration of relevant data by analyzing a user's social media activity. Social media activity includes, but is not limited to, analysis of post content and follower analysis. Some or all of the above processing in the integration unit may be performed using AI, or not. For example, the integration unit inputs the user's social media activity data into an AI, which then integrates the relevant data.

[0041] The identification unit can adjust the level of detail of the identification based on the importance of the feng shui data during the identification process. For example, the identification unit evaluates the importance of the feng shui data and adjusts the level of detail. For example, the identification unit performs a detailed identification based on high-importance feng shui data. The identification unit can also perform a simplified identification based on low-importance feng shui data. Furthermore, the identification unit can adjust the level of detail of the identification stepwise according to the importance. This allows for more appropriate identification by adjusting the level of detail of the identification based on the importance of the feng shui data. The importance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the importance of the feng shui data into the AI, and the AI ​​adjusts the level of detail of the identification.

[0042] The identification unit can apply different identification algorithms depending on the category of the feng shui data at the time of identification. For example, the identification unit evaluates the category of the feng shui data and applies an identification algorithm. For example, the identification unit applies a health-specific identification algorithm to feng shui data related to health. The identification unit can also apply a work-specific identification algorithm to feng shui data related to work. Furthermore, the identification unit can apply a relaxation-specific identification algorithm to feng shui data related to relaxation. This allows for more appropriate identification by applying different identification algorithms depending on the category of the feng shui data. Categories of feng shui data include, but are not limited to, geographical data, building layout data, and environmental data. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the category of the feng shui data into the AI, and the AI ​​applies an identification algorithm.

[0043] The identification unit can determine specific priorities based on the submission timing of the feng shui data at the time of identification. For example, the identification unit evaluates the submission timing of the feng shui data and determines specific priorities. For example, the identification unit prioritizes identifying feng shui data that has been submitted recently. The identification unit can also prioritize identifying feng shui data that has been submitted recently. Furthermore, the identification unit can adjust the specific priorities in stages according to the submission timing. This allows for more appropriate identification by determining specific priorities based on the submission timing of the feng shui data. The submission timing of the feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the submission timing of the feng shui data into the AI, and the AI ​​determines the specific priorities.

[0044] The identification unit can adjust the order of identification based on the relevance of the feng shui data at the time of identification. For example, the identification unit evaluates the relevance of the feng shui data and adjusts the order of identification. For example, the identification unit prioritizes identifying highly relevant feng shui data. The identification unit can also postpone identifying less relevant feng shui data. Furthermore, the identification unit can adjust the order of identification stepwise according to the relevance. This allows for more appropriate identification by adjusting the order of identification based on the relevance of the feng shui data. The relevance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of identification.

[0045] The identification unit can determine specific priorities based on the submission timing of the feng shui data at the time of identification. For example, the identification unit evaluates the submission timing of the feng shui data and determines specific priorities. For example, the identification unit prioritizes identifying feng shui data that has been submitted recently. The identification unit can also prioritize identifying feng shui data that has been submitted recently. Furthermore, the identification unit can adjust the specific priorities in stages according to the submission timing. This allows for more appropriate identification by determining specific priorities based on the submission timing of the feng shui data. The submission timing of the feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the submission timing of the feng shui data into the AI, and the AI ​​determines the specific priorities.

[0046] The identification unit can adjust the order of identification based on the relevance of the feng shui data at the time of identification. For example, the identification unit evaluates the relevance of the feng shui data and adjusts the order of identification. For example, the identification unit prioritizes identifying highly relevant feng shui data. The identification unit can also postpone identifying less relevant feng shui data. Furthermore, the identification unit can adjust the order of identification stepwise according to the relevance. This allows for more appropriate identification by adjusting the order of identification based on the relevance of the feng shui data. The relevance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of identification.

[0047] The service provider can adjust the level of detail in the advice based on the importance of the feng shui data when providing advice. For example, the service provider evaluates the importance of the feng shui data and adjusts the level of detail in the advice. For example, the service provider provides detailed advice based on highly important feng shui data. The service provider can also provide simplified advice based on less important feng shui data. Furthermore, the service provider can adjust the level of detail in the advice in stages according to importance. This allows for the provision of more appropriate advice by adjusting the level of detail in the advice based on the importance of the feng shui data. The importance of the feng shui data includes, but is not limited to, the reliability and relevance of the data. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the importance of the feng shui data into the AI, and the AI ​​adjusts the level of detail in the advice.

[0048] The service provider can apply different advice algorithms depending on the category of the feng shui data when providing advice. For example, the service provider evaluates the category of the feng shui data and applies an advice algorithm. For example, the service provider applies a health-specific advice algorithm to feng shui data related to health. The service provider can also apply a work-specific advice algorithm to feng shui data related to work. Furthermore, the service provider can apply a relaxation-specific advice algorithm to feng shui data related to relaxation. By applying different advice algorithms depending on the category of the feng shui data, more appropriate advice can be provided. Categories of feng shui data include, but are not limited to, geographical data, building layout data, and environmental data. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the category of the feng shui data into the AI, and the AI ​​applies an advice algorithm.

[0049] The service provider can determine the priority of advice based on the timing of the submission of feng shui data when providing advice. For example, the service provider evaluates the timing of the submission of feng shui data and determines the priority of advice. For example, the service provider may prioritize advice based on newer feng shui data. The service provider may also prioritize advice based on older feng shui data. Furthermore, the service provider may adjust the priority of advice in stages according to the submission timing. This allows for the provision of more appropriate advice by determining the priority of advice based on the timing of the submission of feng shui data. The timing of the submission of feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the timing of the submission of feng shui data into AI, and the AI ​​determines the priority of advice.

[0050] The service provider can adjust the order of advice based on the relevance of the feng shui data when providing advice. For example, the service provider evaluates the relevance of the feng shui data and adjusts the order of advice. For example, the service provider prioritizes providing advice based on highly relevant feng shui data. The service provider can also postpone providing advice based on less relevant feng shui data. Furthermore, the service provider can adjust the order of advice in stages according to relevance. This allows for the provision of more appropriate advice by adjusting the order of advice based on the relevance of the feng shui data. Relevance of feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of advice.

[0051] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0052] The system can monitor the user's health status and identify auspicious locations and routes based on that health status. For example, it can acquire the user's heart rate and sleep data to assess their health status. If the user is tired, it can identify places and routes where they can relax. If the user is healthy and active, it can also identify places and routes that will boost their energy. Furthermore, the system can adjust how it identifies auspicious locations and routes based on the user's health status. This allows for the identification of more appropriate locations and routes based on the user's health condition.

[0053] The integration unit can analyze users' past behavioral data and optimize the integration method for feng shui data. For example, the integration unit analyzes places users have visited and routes they have chosen in the past to integrate the most appropriate feng shui data. It can also adjust the timing of feng shui data integration based on the user's behavioral patterns. Furthermore, it can determine the priority of feng shui data based on the user's past behavioral data. This allows for the integration of more appropriate feng shui data based on the user's past behavioral data.

[0054] The system can monitor the user's current activity level and identify auspicious locations and routes based on that activity. For example, if the user is exercising, the system can identify locations and routes that will boost their energy. If the user is resting, it can identify locations and routes that will promote relaxation. Furthermore, if the user is working, it can identify locations and routes that will enhance their concentration. This allows the system to identify more appropriate locations and routes based on the user's activity level.

[0055] The integration unit can acquire the user's current weather information and adjust the integration method of feng shui data based on the weather. For example, the integration unit can prioritize integrating indoor feng shui data during rainy weather, and outdoor feng shui data during sunny weather. Furthermore, it can adjust the integration method of feng shui data according to the season. This allows for the integration of more appropriate feng shui data based on weather information.

[0056] The system analyzes the user's past health data and can identify auspicious locations and travel routes based on their health status. For example, it analyzes the user's past heart rate and sleep data to assess their health status. If the user was tired in the past, it can identify relaxing locations and routes. Conversely, if the user was healthy and active in the past, it can identify locations and routes to boost their energy. This allows for the identification of more appropriate locations and routes based on the user's past health data.

[0057] The following briefly describes the processing flow for example form 1.

[0058] Step 1: The integration unit integrates the feng shui data. The feng shui data includes geographical data, building layout data, and environmental data. The integration unit acquires the geographical data and integrates it with the building layout data. It can also acquire environmental data and integrate it with the geographical data. Step 2: The Identification Unit identifies auspicious locations and travel routes based on the feng shui data integrated by the Integration Unit. These auspicious locations and travel routes are identified according to evaluation criteria based on feng shui principles. The Identification Unit evaluates geographical data and building layout data to identify auspicious locations. It can also evaluate environmental data to identify auspicious travel routes. Step 3: The service provider provides advice to the user based on the feng shui-friendly locations and travel routes identified by the specific service provider. The advice is provided in the form of text messages, voice guides, etc. The service provider guides the user to travel routes to feng shui-friendly locations. It can also provide advice on what to do in feng shui-friendly locations.

[0059] (Example of form 2) An AI system according to an embodiment of the present invention is a system for incorporating the principles of Feng Shui into daily life. This system integrates Feng Shui data, identifies Feng Shui-friendly locations and travel routes, and provides advice to the user. For example, the AI ​​system integrates Feng Shui data in conjunction with a map application to identify Feng Shui-friendly locations and travel routes. When the user is heading to a destination, it can guide them along a Feng Shui-friendly route. This allows the user to benefit from Feng Shui even in their daily travels. Next, the AI ​​system utilizes generative AI to provide advice based on Feng Shui principles regarding the user's home or office environment. For example, it can suggest methods for improving furniture placement and design from a Feng Shui perspective. This allows the user to optimize their living space from a Feng Shui perspective. Furthermore, the AI ​​system tracks behavior and provides feedback on effective Feng Shui routes and spatial arrangements. For example, it can evaluate and report the positive changes brought about by the route and arrangement chosen by the user. This makes it easier for the user to experience the effects of Feng Shui. This mechanism can support a balanced daily life through Feng Shui. Users can easily utilize the wisdom of Feng Shui and improve their sense of well-being by improving the luck of places and routes. Furthermore, AI support makes it easier to understand the essence of Feng Shui. This allows the AI ​​system to incorporate Feng Shui principles into daily life.

[0060] The AI ​​system according to the embodiment comprises an integration unit, a specification unit, and a provision unit. The integration unit integrates feng shui data. The feng shui data includes, but is not limited to, geographical data, building layout data, and environmental data. The integration unit may, for example, acquire geographical data and integrate it with building layout data. The integration unit may also acquire environmental data and integrate it with geographical data. The specification unit identifies auspicious locations and travel routes based on the feng shui data integrated by the integration unit. Auspicious locations and travel routes are identified, for example, according to evaluation criteria based on feng shui principles, but is not limited to such examples. The specification unit may, for example, evaluate the geographical data and building layout data based on feng shui principles to identify auspicious locations. The specification unit may also evaluate environmental data based on feng shui principles to identify auspicious travel routes. The provision unit provides advice to the user based on the auspicious locations and travel routes identified by the specification unit. The advice is provided, for example, in the form of text messages or voice guides, but is not limited to such examples. The provisioning unit, for example, guides the user to a location considered auspicious according to feng shui principles. The provisioning unit can also advise the user on actions to take in such a location. This allows the AI ​​system according to the embodiment to incorporate the principles of feng shui into daily life. Some or all of the above-described processes in the integration unit, identification unit, and provisioning unit may be performed using AI, for example, or not using AI. For example, the integration unit inputs geographical data and building layout data into the AI, which then integrates the data. The identification unit inputs the integrated data into the AI, which then identifies locations and routes considered auspicious according to feng shui principles. The provisioning unit inputs the identified locations and routes into the AI, which then provides advice to the user.

[0061] The Integration Department integrates Feng Shui data. Feng Shui data includes, but is not limited to, geographical data, building location data, and environmental data. Specifically, geographical data includes topographic relief, the location of rivers and lakes, and road networks. This data is often obtained using Geographic Information Systems (GIS). Building location data includes the location, shape, height, and use of buildings, and is obtained from urban planning databases and architectural drawings. Environmental data includes meteorological data such as temperature, humidity, wind direction, and sunshine duration, as well as vegetation, soil type, and geological data. This data is obtained from weather stations and environmental monitoring systems. The Integration Department integrates this diverse data and centrally manages the information necessary for Feng Shui evaluation. For example, when acquiring geographical data and integrating it with building location data, a Geographic Information System (GIS) is used to accurately plot the building locations on a map. Similarly, when acquiring environmental data and integrating it with geographical data, meteorological data is overlaid on the map, allowing for a visual understanding of the climate conditions of a specific region. This allows the Integration Unit to efficiently integrate the diverse data necessary for feng shui evaluations and provide it in a format usable by the Specific Unit and the Provision Unit. Furthermore, the Integration Unit is designed to easily update and add data, enabling rapid response when new data is acquired. For example, if a new building is constructed or weather conditions change, the Integration Unit automatically updates the data, allowing for feng shui evaluations based on the latest information. As a result, the Integration Unit can always support highly accurate feng shui evaluations based on the most up-to-date data.

[0062] The specific unit identifies auspicious locations and travel routes based on feng shui data integrated by the integration unit. These auspicious locations and routes are identified according to evaluation criteria based on feng shui principles, but are not limited to such examples. Specifically, feng shui principles include topographic shape and orientation, building placement, and environmental harmony. The specific unit evaluates geographical and building placement data based on these principles to identify auspicious locations. For example, a gently sloping hilly area with surrounding water is considered auspicious. Similarly, a building facing south and in harmony with surrounding buildings is also considered auspicious. The specific unit analyzes geographical and building placement data based on these evaluation criteria to identify auspicious locations. Furthermore, the specific unit can also evaluate environmental data based on feng shui principles to identify auspicious travel routes. For example, it considers wind direction and sunshine duration to identify auspicious travel routes. Routes with consistent wind direction and long sunshine durations are considered auspicious. The system analyzes environmental data based on these evaluation criteria to identify auspicious travel routes according to feng shui principles. Furthermore, the system uses AI to analyze this data and identify auspicious locations and travel routes according to feng shui principles. The AI ​​can predict auspicious locations and travel routes based on past data and statistical information. For example, an AI that has learned from past feng shui evaluation data can identify auspicious locations and travel routes with high accuracy based on new data. As a result, the system can perform highly accurate evaluations based on feng shui principles and provide users with the optimal locations and routes.

[0063] The service provider offers advice to users based on feng shui-friendly locations and travel routes identified by the specific unit. This advice may be provided in various forms, such as text messages or voice guidance, but is not limited to these examples. Specifically, the service provider guides users to feng shui-friendly locations via their devices. For example, it displays the optimal travel route to a feng shui-friendly location through a smartphone application. The service provider can also advise users on actions within feng shui-friendly locations, such as seating positions, furniture arrangement, and plant placement. This allows users to create a living environment based on feng shui principles. Furthermore, the service provider uses AI to optimize advice for users. The AI ​​learns from users' past behavioral data and feedback to provide personalized advice. For example, based on user responses to previously provided advice, the AI ​​adjusts the content and format of the advice to provide more effective guidance. The service provider also uses multiple communication methods to ensure reliable information transmission. For example, it uses smartphone notifications in conjunction with voice calls, SMS, and email to ensure important information is delivered reliably. This allows the service provider to quickly and reliably provide users with actionable instructions, enabling them to incorporate the principles of Feng Shui into their daily lives. Furthermore, the service provider can collect user feedback and continuously improve the accuracy and effectiveness of the advice. For example, based on feedback from users who have received advice, the content and format of the advice can be reviewed to provide more effective advice. In this way, the service provider can provide users with highly accurate and effective advice, enabling them to incorporate the principles of Feng Shui into their daily lives.

[0064] The service provider can provide advice based on the principles of Feng Shui regarding the user's home or office environment. For example, the service provider can acquire data on the user's home or office environment and evaluate it based on Feng Shui principles. For example, the service provider can propose methods to improve the arrangement and design of furniture from a Feng Shui perspective. For example, the service provider can create a Feng Shui-friendly environment by changing the arrangement of furniture. The service provider can also create a Feng Shui-friendly environment by changing the design of furniture. In this way, by providing advice to optimize the user's home or office environment from a Feng Shui perspective, the luck of the living space can be improved. Feng Shui principles include, but are not limited to, the theory of Yin and Yang and the Five Elements and the Eight Trigrams. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider can input data on the user's home or office environment into AI, which will evaluate it based on Feng Shui principles and provide advice.

[0065] The service provider can propose methods for improving furniture arrangement and design according to feng shui principles. For example, the service provider can acquire data on the user's home or office environment and evaluate it based on feng shui principles. For example, the service provider can create a feng shui-friendly environment by changing the furniture arrangement. The service provider can also create a feng shui-friendly environment by changing the furniture design. In this way, by proposing methods for improving furniture arrangement and design according to feng shui principles, the luck of the living space can be improved. Methods for improving according to feng shui principles include, but are not limited to, furniture arrangement methods and color selection. Some or all of the above processing by the service provider may be performed using, for example, AI, or not using AI. For example, the service provider can input data on the user's home or office environment into AI, which will evaluate it based on feng shui principles and propose methods for improving furniture arrangement and design.

[0066] The service provider can track user behavior and provide feedback on effective feng shui routes and spatial arrangements. For example, the service provider can acquire user behavior data and evaluate it based on feng shui principles. For example, the service provider can evaluate and report on the positive changes brought about by the route and arrangement chosen by the user. For example, the service provider can evaluate whether the route chosen by the user is feng shui auspicious and provide feedback. The service provider can also evaluate whether the arrangement chosen by the user is feng shui auspicious and provide feedback. This makes it easier for users to experience the effects of feng shui by tracking their behavior and providing feedback on effective feng shui routes and spatial arrangements. Methods for tracking user behavior include, but are not limited to, the use of GPS data and the collection of behavior logs. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider can input user behavior data into AI, which can evaluate it based on feng shui principles and provide feedback.

[0067] The service provider can evaluate and report on the positive changes brought about by the route and layout selected by the user. For example, the service provider can acquire user behavior data and evaluate it based on the principles of Feng Shui. For example, the service provider can evaluate whether the route selected by the user is auspicious from a Feng Shui perspective and report on the positive changes. The service provider can also evaluate whether the layout selected by the user is auspicious from a Feng Shui perspective and report on the positive changes. This makes it easier for users to experience the effects of Feng Shui by evaluating and reporting on the positive changes brought about by the route and layout selected by the user. Positive changes include, but are not limited to, improvements in health or increased work efficiency. Some or all of the above processing in the service provider may be performed using AI, for example, or not using AI. For example, the service provider can input user behavior data into AI, which can evaluate it based on the principles of Feng Shui and report on the positive changes.

[0068] The integration unit can estimate the user's emotions and adjust the timing of feng shui data integration based on the estimated emotions. For example, the integration unit uses technologies such as facial recognition and voice analysis to estimate the user's emotions. For instance, if the user is stressed, the integration unit integrates feng shui data during times when the user is relaxed. Similarly, if the user is relaxed, the integration unit can integrate feng shui data during times when their concentration is high. Furthermore, if the user is in a hurry, the integration unit can quickly integrate the feng shui data. This allows for more appropriate integration of feng shui data by adjusting the timing according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may include, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the integration unit may be performed using AI, or without AI. For example, the integration unit inputs user emotion data into the AI, which estimates the emotion and adjusts the timing of the integration.

[0069] The integration unit can analyze the user's past travel history and select the optimal method for integrating feng shui data. For example, the integration unit can acquire the user's past travel history and evaluate it based on feng shui principles. For example, the integration unit can integrate optimal feng shui data based on places the user has frequently visited in the past. The integration unit can also integrate feng shui data to avoid congestion based on the user's past travel history. Furthermore, the integration unit can analyze the user's past travel history and select the most efficient method for integrating feng shui data. This allows the optimal method for integrating feng shui data to be selected by analyzing the user's past travel history. Past travel history includes, but is not limited to, the use of GPS data and analysis of travel logs. Some or all of the above processing in the integration unit may be performed using, for example, AI, or not using AI. For example, the integration unit can input the user's past travel history data into AI, and the AI ​​can select the optimal integration method.

[0070] The integration unit can filter feng shui data based on the user's current lifestyle and areas of interest during integration. For example, the integration unit obtains the user's current lifestyle and areas of interest and evaluates them based on feng shui principles. For instance, if the user is interested in health, the integration unit will prioritize integrating feng shui data that is beneficial for health. It can also integrate feng shui data suitable for work if the user wants to concentrate on work. Furthermore, if the user wants to relax, the integration unit can integrate feng shui data suitable for relaxation. This allows for the integration of more relevant data by filtering feng shui data based on the user's current lifestyle and areas of interest. Current lifestyle and areas of interest include, but are not limited to, survey results and social media analysis. Some or all of the above processing in the integration unit may be performed using AI, or not. For example, the integration unit inputs data on the user's lifestyle and areas of interest into an AI, which then performs the filtering.

[0071] The integration unit can estimate the user's emotions and determine the priority of feng shui data to integrate based on the estimated user emotions. For example, the integration unit uses technologies such as facial recognition and voice analysis to estimate the user's emotions. For example, if the user is feeling stressed, the integration unit will prioritize integrating feng shui data that promotes relaxation. Also, if the user is relaxed, the integration unit can prioritize integrating feng shui data that enhances concentration. Furthermore, if the user is in a hurry, the integration unit can prioritize integrating feng shui data that provides quick results. In this way, by prioritizing feng shui data according to the user's emotions, more appropriate data can be integrated. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the integration unit may be performed using AI, for example, or without AI. For example, the integration department inputs user emotion data into the AI, which then estimates the emotion and determines the priority of the feng shui data.

[0072] The integration unit can prioritize the integration of highly relevant data based on the user's geographical location information when integrating feng shui data. For example, the integration unit acquires the user's geographical location information and evaluates it based on the principles of feng shui. For example, if the user is in an urban area, the integration unit will prioritize the integration of feng shui data suitable for urban areas. The integration unit can also prioritize the integration of feng shui data suitable for suburban areas if the user is in a suburban area. Furthermore, if the user is in a specific region, the integration unit can prioritize the integration of feng shui data related to that region. This allows for the provision of more appropriate data by integrating highly relevant data based on the user's geographical location information. Geographical location information includes, but is not limited to, the use of GPS data or the analysis of map data. Some or all of the above processing in the integration unit may be performed using, for example, AI, or not using AI. For example, the integration unit inputs the user's geographical location information into the AI, and the AI ​​prioritizes the integration of highly relevant data.

[0073] The integration unit can analyze a user's social media activity and integrate relevant data when integrating feng shui data. For example, the integration unit can acquire a user's social media activity and evaluate it based on feng shui principles. For instance, if a user posts about health on social media, the integration unit can integrate health-related feng shui data. It can also integrate work-related feng shui data if the user posts about work. Furthermore, if a user posts about relaxation, the integration unit can integrate relaxation-related feng shui data. This allows for the integration of relevant data by analyzing a user's social media activity. Social media activity includes, but is not limited to, analysis of post content and follower analysis. Some or all of the above processing in the integration unit may be performed using AI, or not. For example, the integration unit inputs the user's social media activity data into an AI, which then integrates the relevant data.

[0074] The identification unit can estimate the user's emotions and adjust the method for identifying auspicious locations and travel routes based on the estimated emotions. For example, the identification unit uses technologies such as facial recognition and voice analysis to estimate the user's emotions. For example, if the user is feeling stressed, the identification unit can identify places and routes where they can relax. Also, if the user is relaxed, the identification unit can identify places and routes where they can concentrate better. Furthermore, if the user is in a hurry, the identification unit can identify places and routes where they can travel quickly. In this way, by adjusting the method for identifying auspicious locations and travel routes according to the user's emotions, more appropriate locations and routes can be identified. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the identification unit may be performed using AI, or not using AI. For example, the identification unit inputs the user's emotion data into the AI, the AI ​​estimates the emotions, and adjusts the identification method.

[0075] The identification unit can adjust the level of detail of the identification based on the importance of the feng shui data during the identification process. For example, the identification unit evaluates the importance of the feng shui data and adjusts the level of detail. For example, the identification unit performs a detailed identification based on high-importance feng shui data. The identification unit can also perform a simplified identification based on low-importance feng shui data. Furthermore, the identification unit can adjust the level of detail of the identification stepwise according to the importance. This allows for more appropriate identification by adjusting the level of detail of the identification based on the importance of the feng shui data. The importance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the importance of the feng shui data into the AI, and the AI ​​adjusts the level of detail of the identification.

[0076] The identification unit can apply different identification algorithms depending on the category of the feng shui data at the time of identification. For example, the identification unit evaluates the category of the feng shui data and applies an identification algorithm. For example, the identification unit applies a health-specific identification algorithm to feng shui data related to health. The identification unit can also apply a work-specific identification algorithm to feng shui data related to work. Furthermore, the identification unit can apply a relaxation-specific identification algorithm to feng shui data related to relaxation. This allows for more appropriate identification by applying different identification algorithms depending on the category of the feng shui data. Categories of feng shui data include, but are not limited to, geographical data, building layout data, and environmental data. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the category of the feng shui data into the AI, and the AI ​​applies an identification algorithm.

[0077] The identification unit can estimate the user's emotions and determine the priority of places and routes to identify based on the estimated emotions. For example, the identification unit uses technologies such as facial recognition and voice analysis to estimate the user's emotions. For example, if the identification unit is feeling stressed, it will prioritize identifying places and routes where the user can relax. If the identification unit is relaxed, it can also prioritize identifying places and routes where the user can concentrate. Furthermore, if the identification unit is in a hurry, it can also prioritize identifying places and routes where the user can travel quickly. In this way, by determining the priority of places and routes to identify according to the user's emotions, more appropriate places and routes can be identified. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the identification unit may be performed using AI, for example, or without AI. For example, the identification unit inputs the user's emotional data into the AI, which then estimates the emotion and determines the priority of locations and routes to identify.

[0078] The identification unit can determine specific priorities based on the submission timing of the feng shui data at the time of identification. For example, the identification unit evaluates the submission timing of the feng shui data and determines specific priorities. For example, the identification unit prioritizes identifying feng shui data that has been submitted recently. The identification unit can also prioritize identifying feng shui data that has been submitted recently. Furthermore, the identification unit can adjust the specific priorities in stages according to the submission timing. This allows for more appropriate identification by determining specific priorities based on the submission timing of the feng shui data. The submission timing of the feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the submission timing of the feng shui data into the AI, and the AI ​​determines the specific priorities.

[0079] The identification unit can adjust the order of identification based on the relevance of the feng shui data at the time of identification. For example, the identification unit evaluates the relevance of the feng shui data and adjusts the order of identification. For example, the identification unit prioritizes identifying highly relevant feng shui data. The identification unit can also postpone identifying less relevant feng shui data. Furthermore, the identification unit can adjust the order of identification stepwise according to the relevance. This allows for more appropriate identification by adjusting the order of identification based on the relevance of the feng shui data. The relevance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of identification.

[0080] The identification unit can estimate the user's emotions and determine the priority of places and routes to identify based on the estimated emotions. For example, the identification unit uses technologies such as facial recognition and voice analysis to estimate the user's emotions. For example, if the identification unit is feeling stressed, it will prioritize identifying places and routes where the user can relax. If the identification unit is relaxed, it can also prioritize identifying places and routes where the user can concentrate. Furthermore, if the identification unit is in a hurry, it can also prioritize identifying places and routes where the user can travel quickly. In this way, by determining the priority of places and routes to identify according to the user's emotions, more appropriate places and routes can be identified. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the identification unit may be performed using AI, for example, or without AI. For example, the identification unit inputs the user's emotional data into the AI, which then estimates the emotion and determines the priority of locations and routes to identify.

[0081] The identification unit can determine specific priorities based on the submission timing of the feng shui data at the time of identification. For example, the identification unit evaluates the submission timing of the feng shui data and determines specific priorities. For example, the identification unit prioritizes identifying feng shui data that has been submitted recently. The identification unit can also prioritize identifying feng shui data that has been submitted recently. Furthermore, the identification unit can adjust the specific priorities in stages according to the submission timing. This allows for more appropriate identification by determining specific priorities based on the submission timing of the feng shui data. The submission timing of the feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the submission timing of the feng shui data into the AI, and the AI ​​determines the specific priorities.

[0082] The identification unit can adjust the order of identification based on the relevance of the feng shui data at the time of identification. For example, the identification unit evaluates the relevance of the feng shui data and adjusts the order of identification. For example, the identification unit prioritizes identifying highly relevant feng shui data. The identification unit can also postpone identifying less relevant feng shui data. Furthermore, the identification unit can adjust the order of identification stepwise according to the relevance. This allows for more appropriate identification by adjusting the order of identification based on the relevance of the feng shui data. The relevance of the feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the identification unit may be performed using, for example, AI, or not using AI. For example, the identification unit inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of identification.

[0083] The service provider can estimate the user's emotions and adjust the way advice is expressed based on those emotions. For example, the service provider may use technologies such as facial recognition or voice analysis to estimate the user's emotions. For example, if the user is feeling stressed, the service provider may provide advice in a way that promotes relaxation. If the user is relaxed, the service provider may also provide advice in a way that enhances concentration. Furthermore, if the user is in a hurry, the service provider may provide advice in a way that is easy to understand quickly. By adjusting the way advice is expressed according to the user's emotions, more appropriate advice can be provided. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the service provider may be performed using AI, or not using AI. For example, the service provider may input user emotion data into the AI, the AI ​​may estimate the emotions, and the way advice is expressed may be adjusted.

[0084] The service provider can adjust the level of detail in the advice based on the importance of the feng shui data when providing advice. For example, the service provider evaluates the importance of the feng shui data and adjusts the level of detail in the advice. For example, the service provider provides detailed advice based on highly important feng shui data. The service provider can also provide simplified advice based on less important feng shui data. Furthermore, the service provider can adjust the level of detail in the advice in stages according to importance. This allows for the provision of more appropriate advice by adjusting the level of detail in the advice based on the importance of the feng shui data. The importance of the feng shui data includes, but is not limited to, the reliability and relevance of the data. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the importance of the feng shui data into the AI, and the AI ​​adjusts the level of detail in the advice.

[0085] The service provider can apply different advice algorithms depending on the category of the feng shui data when providing advice. For example, the service provider evaluates the category of the feng shui data and applies an advice algorithm. For example, the service provider applies a health-specific advice algorithm to feng shui data related to health. The service provider can also apply a work-specific advice algorithm to feng shui data related to work. Furthermore, the service provider can apply a relaxation-specific advice algorithm to feng shui data related to relaxation. By applying different advice algorithms depending on the category of the feng shui data, more appropriate advice can be provided. Categories of feng shui data include, but are not limited to, geographical data, building layout data, and environmental data. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the category of the feng shui data into the AI, and the AI ​​applies an advice algorithm.

[0086] The service provider can estimate the user's emotions and adjust the length of the advice based on the estimated emotions. For example, the service provider might use technologies such as facial recognition or voice analysis to estimate the user's emotions. For instance, if the user is stressed, the service provider might provide short, concise advice. If the user is relaxed, it might provide longer advice with more detailed explanations. Furthermore, if the user is in a hurry, it might provide short, easily understandable advice. This allows for more appropriate advice to be provided by adjusting the length of the advice according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may include, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processes in the service provider may be performed using AI or not. For example, the service provider inputs user emotion data into an AI, which estimates the emotions and adjusts the length of the advice.

[0087] The service provider can determine the priority of advice based on the timing of the submission of feng shui data when providing advice. For example, the service provider evaluates the timing of the submission of feng shui data and determines the priority of advice. For example, the service provider may prioritize advice based on newer feng shui data. The service provider may also prioritize advice based on older feng shui data. Furthermore, the service provider may adjust the priority of advice in stages according to the submission timing. This allows for the provision of more appropriate advice by determining the priority of advice based on the timing of the submission of feng shui data. The timing of the submission of feng shui data includes, but is not limited to, the freshness of the data and the frequency of submission. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the timing of the submission of feng shui data into AI, and the AI ​​determines the priority of advice.

[0088] The service provider can adjust the order of advice based on the relevance of the feng shui data when providing advice. For example, the service provider evaluates the relevance of the feng shui data and adjusts the order of advice. For example, the service provider prioritizes providing advice based on highly relevant feng shui data. The service provider can also postpone providing advice based on less relevant feng shui data. Furthermore, the service provider can adjust the order of advice in stages according to relevance. This allows for the provision of more appropriate advice by adjusting the order of advice based on the relevance of the feng shui data. Relevance of feng shui data includes, but is not limited to, data reliability and relevance. Some or all of the above processing in the service provider may be performed using, for example, AI, or not using AI. For example, the service provider inputs the relevance of the feng shui data into AI, and the AI ​​adjusts the order of advice.

[0089] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0090] The system can monitor the user's health status and identify auspicious locations and routes based on that health status. For example, it can acquire the user's heart rate and sleep data to assess their health status. If the user is tired, it can identify places and routes where they can relax. If the user is healthy and active, it can also identify places and routes that will boost their energy. Furthermore, the system can adjust how it identifies auspicious locations and routes based on the user's health status. This allows for the identification of more appropriate locations and routes based on the user's health condition.

[0091] The service provider can estimate the user's emotions and, based on those estimates, offer advice on auspicious locations and travel routes according to feng shui principles. For example, if the user is feeling stressed, the service provider can suggest places and routes that promote relaxation. If the user is relaxed, it can also suggest places and routes that enhance concentration. Furthermore, if the user is in a hurry, it can suggest routes that allow for quick travel. This allows the service provider to offer more appropriate advice according to the user's emotions.

[0092] The integration unit can analyze users' past behavioral data and optimize the integration method for feng shui data. For example, the integration unit analyzes places users have visited and routes they have chosen in the past to integrate the most appropriate feng shui data. It can also adjust the timing of feng shui data integration based on the user's behavioral patterns. Furthermore, it can determine the priority of feng shui data based on the user's past behavioral data. This allows for the integration of more appropriate feng shui data based on the user's past behavioral data.

[0093] The service provider can estimate the user's emotions and, based on those estimates, offer advice on creating a feng shui-friendly home or office environment. For example, if the user is feeling stressed, the service provider can suggest furniture arrangements and designs that promote relaxation. If the user is relaxed, it can also suggest furniture arrangements and designs that enhance concentration. Furthermore, if the user is in a hurry, it can provide advice on actions that can be taken quickly. This allows the service provider to offer more appropriate advice on home and office environments tailored to the user's emotions.

[0094] The system can monitor the user's current activity level and identify auspicious locations and routes based on that activity. For example, if the user is exercising, the system can identify locations and routes that will boost their energy. If the user is resting, it can identify locations and routes that will promote relaxation. Furthermore, if the user is working, it can identify locations and routes that will enhance their concentration. This allows the system to identify more appropriate locations and routes based on the user's activity level.

[0095] The system can estimate the user's emotions and, based on those estimates, provide feedback on actions that are considered auspicious according to feng shui principles. For example, if the user is feeling stressed, the system can recommend actions that promote relaxation. If the user is relaxed, it can also recommend actions that enhance concentration. Furthermore, if the user is in a hurry, it can recommend actions that can be performed quickly. This allows the system to provide more appropriate behavioral feedback according to the user's emotions.

[0096] The integration unit can acquire the user's current weather information and adjust the integration method of feng shui data based on the weather. For example, the integration unit can prioritize integrating indoor feng shui data during rainy weather, and outdoor feng shui data during sunny weather. Furthermore, it can adjust the integration method of feng shui data according to the season. This allows for the integration of more appropriate feng shui data based on weather information.

[0097] The service provider can estimate the user's emotions and, based on those estimates, offer advice on lifestyle habits that are considered auspicious according to feng shui principles. For example, if the user is feeling stressed, the service provider can suggest lifestyle habits that promote relaxation. If the user is relaxed, it can also suggest lifestyle habits that improve concentration. Furthermore, if the user is in a hurry, it can suggest lifestyle habits that can be implemented quickly. This allows the service provider to offer more appropriate lifestyle advice tailored to the user's emotions.

[0098] The system analyzes the user's past health data and can identify auspicious locations and travel routes based on their health status. For example, it analyzes the user's past heart rate and sleep data to assess their health status. If the user was tired in the past, it can identify relaxing locations and routes. Conversely, if the user was healthy and active in the past, it can identify locations and routes to boost their energy. This allows for the identification of more appropriate locations and routes based on the user's past health data.

[0099] The service provider can estimate the user's emotions and, based on those estimates, offer feng shui-based dietary advice. For example, if the user is feeling stressed, the service provider can suggest a relaxing meal. If the user is relaxed, it can suggest a meal that enhances concentration. Furthermore, if the user is in a hurry, it can suggest a meal that can be consumed quickly. This allows the service provider to offer more appropriate dietary advice according to the user's emotions.

[0100] The following briefly describes the processing flow for example form 2.

[0101] Step 1: The integration unit integrates the feng shui data. The feng shui data includes geographical data, building layout data, and environmental data. The integration unit acquires the geographical data and integrates it with the building layout data. It can also acquire environmental data and integrate it with the geographical data. Step 2: The Identification Unit identifies auspicious locations and travel routes based on the feng shui data integrated by the Integration Unit. These auspicious locations and travel routes are identified according to evaluation criteria based on feng shui principles. The Identification Unit evaluates geographical data and building layout data to identify auspicious locations. It can also evaluate environmental data to identify auspicious travel routes. Step 3: The service provider provides advice to the user based on the feng shui-friendly locations and travel routes identified by the specific service provider. The advice is provided in the form of text messages, voice guides, etc. The service provider guides the user to travel routes to feng shui-friendly locations. It can also provide advice on what to do in feng shui-friendly locations.

[0102] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0103] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0104] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, 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.

[0105] Each of the multiple elements, including the integration unit, identification unit, and provision unit described above, is implemented in at least one of the smart device 14 and the data processing unit 12. For example, the integration unit is implemented by the control unit 46A of the smart device 14, which acquires and integrates geographical data and building location data. The identification unit is implemented by the identification processing unit 290 of the data processing unit 12, which identifies auspicious locations and travel routes based on the integrated data. The provision unit is implemented by the control unit 46A of the smart device 14, which provides advice to the user based on the identified locations and routes. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0106] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0107] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0108] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0109] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0110] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0111] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0112] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0113] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0114] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0115] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0116] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. 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 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0117] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0118] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0119] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0120] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0121] Each of the multiple elements described above, including the integration unit, identification unit, and provision unit, is implemented, for example, in at least one of the smart glasses 214 and the data processing unit 12. For example, the integration unit is implemented by the control unit 46A of the smart glasses 214, which acquires and integrates geographical data and building location data. The identification unit is implemented, for example, by the identification processing unit 290 of the data processing unit 12, which identifies auspicious locations and travel routes based on the integrated data. The provision unit is implemented, for example, by the control unit 46A of the smart glasses 214, which provides advice to the user based on the identified locations and routes. The correspondence between each unit and the device or control unit is not limited to the examples described above, and various modifications are possible.

[0122] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0123] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0124] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0125] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0126] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0127] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0128] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0129] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0130] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0131] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0132] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0133] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0134] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0135] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0136] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0137] Each of the multiple elements described above, including the integration unit, identification unit, and provision unit, is implemented in at least one of the headset terminal 314 and the data processing unit 12. For example, the integration unit is implemented by the control unit 46A of the headset terminal 314, which acquires and integrates geographical data and building location data. The identification unit is implemented by the identification processing unit 290 of the data processing unit 12, which identifies auspicious locations and travel routes based on the integrated data. The provision unit is implemented by the control unit 46A of the headset terminal 314, which provides advice to the user based on the identified locations and routes. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0138] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0139] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0140] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0141] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0142] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0144] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0145] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0146] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0147] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0148] Storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0149] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0150] Furthermore, other devices besides the data processing device 12 may also 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 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0151] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0152] The data generation model 58 is a so-called generative AI. An example of a 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 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0153] 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0154] Each of the multiple elements, including the integration unit, identification unit, and provision unit described above, is implemented in at least one of the robot 414 and the data processing unit 12. For example, the integration unit is implemented by the control unit 46A of the robot 414, which acquires and integrates geographical data and building layout data. The identification unit is implemented by the identification processing unit 290 of the data processing unit 12, which identifies auspicious locations and travel routes based on the integrated data. The provision unit is implemented by the control unit 46A of the robot 414, which provides advice to the user based on the identified locations and routes. The correspondence between each unit and the device or control unit is not limited to the example described above, and various modifications are possible.

[0155] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0156] Figure 9 shows the emotion map 400, in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0157] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0158] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0159] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0160] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0161] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0162] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0163] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0164] 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.

[0165] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0166] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0167] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0168] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0169] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0170] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0171] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0172] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0173] (Note 1) The integration unit integrates feng shui data, Based on the feng shui data integrated by the aforementioned integration unit, an identification unit identifies auspicious locations and travel routes according to feng shui principles. The system includes a providing unit that provides advice to the user based on the feng shui-friendly locations and travel routes identified by the aforementioned specific unit. A system characterized by the following features. (Note 2) The aforementioned supply unit is, We provide advice on the user's home and office environment based on the principles of Feng Shui. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned supply unit is, This article proposes methods for improving furniture arrangement and design from a feng shui perspective. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned supply unit is, It tracks user behavior and provides feedback on effective feng shui routes and spatial arrangements. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned supply unit is, Evaluate and report on the positive changes brought about by the routes and layouts selected by the user. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned integration unit is It estimates the user's emotions and adjusts the timing of feng shui data integration based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned integration unit is Analyze the user's past travel history and select the optimal method for integrating feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned integration unit is When integrating feng shui data, filtering is performed based on the user's current lifestyle and areas of interest. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned integration unit is It estimates the user's emotions and determines the priority of feng shui data to integrate based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned integration unit is When integrating feng shui data, the system prioritizes integrating the most relevant data based on the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned integration unit is When integrating feng shui data, we analyze users' social media activity and integrate relevant data. The system described in Appendix 1, characterized by the features described herein. (Note 12) The specified part is, The system estimates the user's emotions and adjusts the method for identifying auspicious locations and travel routes based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 13) The specified part is, At specific times, adjust the level of detail based on the importance of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 14) The specified part is, At specific times, different specific algorithms are applied depending on the category of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 15) The specified part is, It estimates the user's emotions and determines the priority of locations and routes to identify based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 16) The specified part is, At specific times, a particular priority is determined based on the timing of the submission of feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 17) The specified part is, At specific times, adjust the order based on the relevance of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 18) The specified part is, It estimates the user's emotions and determines the priority of locations and routes to identify based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 19) The specified part is, At specific times, a particular priority is determined based on the timing of the submission of feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 20) The specified part is, At specific times, adjust the order based on the relevance of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned supply unit is, It estimates the user's emotions and adjusts the way advice is presented based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned supply unit is, When providing advice, we adjust the level of detail based on the importance of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned supply unit is, When providing advice, different advice algorithms are applied depending on the category of the feng shui data. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned supply unit is, It estimates the user's emotions and adjusts the length of the advice based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned supply unit is, When providing advice, we prioritize the advice based on when the feng shui data was submitted. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned supply unit is, When providing advice, we adjust the order of advice based on the relevance of the feng shui data. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0174] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. The integration unit integrates feng shui data, Based on the feng shui data integrated by the aforementioned integration unit, an identification unit identifies auspicious locations and travel routes according to feng shui principles. The system includes a providing unit that provides advice to the user based on the feng shui-friendly locations and travel routes identified by the aforementioned specific unit. A system characterized by the following features.

2. The aforementioned supply unit is, We provide advice on the user's home and office environment based on the principles of Feng Shui. The system according to feature 1.

3. The aforementioned supply unit is, This article proposes methods for improving furniture arrangement and design from a feng shui perspective. The system according to feature 1.

4. The aforementioned supply unit is, It tracks user behavior and provides feedback on effective feng shui routes and spatial arrangements. The system according to feature 1.

5. The aforementioned supply unit is, Evaluate and report on the positive changes brought about by the routes and layouts selected by the user. The system according to feature 1.

6. The aforementioned integration unit is It estimates the user's emotions and adjusts the timing of feng shui data integration based on the estimated user emotions. The system according to feature 1.

7. The aforementioned integration unit is Analyze the user's past travel history and select the optimal method for integrating feng shui data. The system according to feature 1.

8. The aforementioned integration unit is When integrating feng shui data, filtering is performed based on the user's current lifestyle and areas of interest. The system according to feature 1.

9. The aforementioned integration unit is It estimates the user's emotions and determines the priority of feng shui data to integrate based on the estimated user emotions. The system according to feature 1.

10. The aforementioned integration unit is When integrating feng shui data, the system prioritizes integrating the most relevant data based on the user's geographical location. The system according to feature 1.

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