system

Abstract

We provide the system. [Solution] A means for acquiring location information to determine the current location of a user within the facility, A means for obtaining a floor map of a facility from the internet based on the aforementioned location information, A means for analyzing the acquired floor map and generating a route to the destination, A means of providing guidance to the user based on the generated route information, A means of determining the user's current location from their camera image and updating route guidance, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of 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】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In a plurality of commercial facilities and public facilities, since the route guidance for users uses different guide maps and notations for each facility, it is particularly difficult for foreign tourists and the elderly to understand. Also, indoors, GPS cannot be used, and when using BLE, Wi-Fi, etc. instead, detailed setting surveys according to these installations and environments are required, and there is a problem that infrastructure maintenance costs are high. Furthermore, in order to provide real-time route guidance and routes, while a huge data processing capacity is required, there is also a problem that it is difficult to construct a multilingual system. In such a situation, there is a need to provide a method for suppressing infrastructure costs while providing accurate and efficient route guidance to the destination for users. 【Means for Solving the Problems】 【0005】 To solve this problem, the present invention provides a means for acquiring location information to identify the current location of a user within a facility. In addition to this means, the invention provides a means for acquiring a floor map of the facility from the internet based on the location information, and employs a means for analyzing the acquired floor map using image analysis technology to generate the optimal route to the destination. Furthermore, it provides a means for providing guidance to the user based on the generated route information, and this guidance is configured to be available in multiple languages. It also includes a means for identifying the current location from the user's camera image and updating the route guidance, thereby achieving accurate rerouting in real time. This system makes it possible to provide high-quality directions to users at low cost and improve their satisfaction. 【0006】 "Location information acquisition means" refers to technologies and devices used to determine the current location of a user within a facility. 【0007】 "Methods for obtaining floor maps" refers to the technologies and methods for searching for and obtaining floor maps of a relevant facility from the internet. 【0008】 "Methods for analyzing floor maps" refer to techniques that use image analysis technology to analyze the contents of floor maps and extract important landmarks and route information. 【0009】 "Means for generating routes" refers to technologies for calculating and generating the optimal travel route to a destination from analyzed floor map data. 【0010】 "Means of providing guidance" refers to technology that provides users with directions to their destination based on generated route information. 【0011】 "Methods for determining current location from camera images" refers to technologies that analyze camera images taken by users to determine their current location. [Brief explanation of the drawing] 【0012】 [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 the data processing device and 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. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0013】 An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings. 【0014】 First, the terms used in the following description will be explained. 【0015】 In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0016】 In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0017】 In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0018】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0019】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0020】 [First Embodiment] 【0021】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0022】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0023】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0024】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0025】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0026】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0027】 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. 【0028】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0029】 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. 【0030】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0031】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0032】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0033】 One possible embodiment of this invention is a system for providing efficient directions to users in commercial or public facilities. This system consists of a server, terminals, and a user's portable device. 【0034】 First, the device determines the user's current location using Wi-Fi signal strength and cell phone base station information. The device then sends this location information to the server. 【0035】 Based on the received current location information, the server searches the internet for the floor map of the relevant facility and retrieves the latest floor map. This floor map is then analyzed using the server's image analysis technology. Specifically, this includes a procedure to identify important landmarks such as elevators, stairwells, and shops, and to pinpoint their locations. 【0036】 Next, the server generates the optimal route to the user's destination based on the analyzed information. This route is calculated while taking into account the location of landmarks and the structure of facilities, and is designed to provide efficient navigation. 【0037】 The generated route information is transmitted to the user via the terminal. The terminal delivers route guidance to the user via voice or text message, and its multilingual support enables guidance for foreign tourists as well. Furthermore, if the user is using a camera within the facility, the terminal determines the user's current location in real time from the camera image and reroutes the route as needed to continue guidance. 【0038】 As a concrete example, consider a user visiting a shopping mall and looking for a specific store. The terminal detects the user's location, and the server uses that information to obtain and analyze a floor map. The optimal route to the destination, generated by the server, is communicated to the user through the terminal as specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." If the user mistakenly goes in a different direction, the server reroutes them and quickly guides them back to the correct path. 【0039】 This system will enable highly accurate, multilingual directions to users while keeping infrastructure development costs down, and is expected to improve user satisfaction. 【0040】 The following describes the processing flow. 【0041】 Step 1: 【0042】 The device uses Wi-Fi signal strength and cell tower location information to determine the user's current location. This information is then sent to the server. 【0043】 Step 2: 【0044】 The server searches the internet based on the received location information and retrieves the floor map of the relevant facility. The most recent floor map is selected first. 【0045】 Step 3: 【0046】 The server analyzes the acquired floor map using image analysis technology. Specifically, it identifies important landmarks such as elevators, stairs, and store names and locations, and extracts their location information. 【0047】 Step 4: 【0048】 The server generates the optimal route from an analyzed floor map based on the user's destination information. The route is calculated taking into account the facility's structure and the distances between specific landmarks. 【0049】 Step 5: 【0050】 The terminal provides voice or text guidance to the user based on route information received from the server. Multilingual support allows guidance to be provided in the user's preferred language. 【0051】 Step 6: 【0052】 The device analyzes the user's camera image in real time to determine their current location. Based on this information, the server updates the route guidance and reroutes as needed. 【0053】 Step 7: 【0054】 The server collects behavioral data about users' movements and places they visit, and provides personalized information. This is used to optimize marketing and advertising delivery. 【0055】 (Example 1) 【0056】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0057】 There is a lack of navigation systems in commercial and public facilities that allow users to quickly and accurately find their destinations. In particular, there is a demand for systems that support multiple languages ​​and allow for real-time route correction. 【0058】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0059】 In this invention, the server includes means for acquiring radio wave strength information and location information to determine the user's current location, means for acquiring a floor plan of a building from an information network, and processing means for analyzing the floor plan and generating a route to the destination. This makes it possible to provide users with fast, accurate, and multilingual directions in real time. 【0060】 "Radio wave strength information" is an indicator of signal strength in wireless communication and is data used to determine location information. 【0061】 "Location information acquisition means" refers to a device or method for determining the user's current location, and is a technology that measures location using radio signals or satellite data. 【0062】 An "information network" is a network system used to acquire and transmit information via the internet or other means. 【0063】 A "building floor plan" is a diagram that shows the structure inside a building and is a document used to visually understand the internal layout of a facility. 【0064】 A "processing means" is a device or method for performing specified processing based on specific data, and is often implemented as a computer program. 【0065】 A "landmark" refers to a landmark or important point used to identify a specific location, and is a criterion for recognizing a particular place, either physically or on a map. 【0066】 This invention is a system for providing efficient directions to users in commercial and public facilities. The system consists of a server, terminals, and a portable device carried by the user. 【0067】 First, a terminal installed in the user's mobile device determines the user's current location using Wi-Fi signal strength and cellular base station information. This location information is captured in real time, and the terminal uses the internet as a means of communication to send this information to a server. 【0068】 Next, the server searches the network for floor plans of the relevant building based on the received location information and retrieves the latest one. The server implements image analysis technology, specifically using open-source image processing libraries (e.g., OpenCV) to analyze the floor plans and identify landmarks within the building, such as elevators, stairs, and shops. 【0069】 Next, the server uses the analyzed data to calculate the optimal route to the user's destination. Route calculations utilize route-finding algorithms such as Dijkstra's algorithm, and the generated route information is sent back to the terminal. 【0070】 The terminal guides the user with received route information via voice or text message. Thanks to its built-in speech synthesis engine and multilingual capabilities, the terminal can provide clear directions even to foreign tourists. For example, it might give specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." 【0071】 Furthermore, if a user heads in the wrong direction within the facility, the terminal uses its camera to determine their current location in real time, and the server can automatically reroute them to guide them back to the correct path. This provides users with a stress-free travel experience. This system enables highly accurate, multilingual navigation services while keeping facility infrastructure development costs down. 【0072】 Example prompt: "Generate a prompt for a shopping mall navigation system. Provide an example of a navigation message used when a user is looking for a specific store." 【0073】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0074】 Step 1: 【0075】 The device determines the user's current location using Wi-Fi signal strength and cellular base station information. The input is the radio signals present around the user, and these signals are analyzed to calculate the current location. The device also uses GPS data as an auxiliary tool to determine the precise location. The output is the user's coordinate information. 【0076】 Step 2: 【0077】 The terminal sends the location information of the identified user to the server. The input is location coordinate data, which is packaged and encrypted for transmission to the server over the internet. The output is the location data packet received by the server. 【0078】 Step 3: 【0079】 The server retrieves the latest floor plans of the relevant buildings through its information network based on the received location information. The input is the user's current location information, and based on this, it searches for floor plans in cloud databases and online repositories. The output is a floor plan file stored in memory for analysis. 【0080】 Step 4: 【0081】 The server analyzes the acquired floor plan using image analysis technology. The input is a floor plan file, and open-source image processing libraries (e.g., OpenCV) are used for processing. Through analysis, landmarks such as elevators, stairs, and shops are identified, and their coordinates are extracted. The output is analyzed data containing the location information of the landmarks. 【0082】 Step 5: 【0083】 The server calculates the optimal route to the user's destination based on the analyzed data. The input consists of analyzed landmark data and the user's destination information, and the shortest route is generated using Dijkstra's algorithm. The output is the route information sent to the terminal. 【0084】 Step 6: 【0085】 The terminal provides the user with route information received from the server. The input is route information provided by the server, which is used by a speech synthesis engine to generate voice guidance, while simultaneously displaying the guidance in text format on the screen. The output is voice and visual directions for the user. 【0086】 Step 7: 【0087】 If the user heads in the wrong direction, the device uses camera images to re-determine their current location in real time. The input is the image acquired by the device's camera, which is then analyzed to reconfirm landmarks within the facility. If necessary, new location information is sent to the server to request a route rerouting. The output is re-guidance based on the updated route information. 【0088】 (Application Example 1) 【0089】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0090】 In commercial and public facilities, accurate location information and clear route guidance are essential for users to efficiently reach their destinations. Furthermore, a guidance system that supports multiple languages ​​and meets the diverse needs of users is necessary. However, conventional systems often lack real-time location tracking, visually easy-to-understand navigation, and support, especially for users with visual impairments. Solving these problems and improving user convenience and safety is crucial. 【0091】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0092】 In this invention, the server includes means for acquiring location information to determine the user's current location within the facility, means for acquiring a floor map of the facility from the internet, means for analyzing the acquired floor map and generating a route to the destination, means for providing guidance to the user based on the generated route information, and means for augmented reality display that visually supports navigation in a real-world environment. This makes it possible to provide efficient movement routes within the facility and to provide users with visually easy-to-understand guidance, thereby enabling comfortable facility use and accommodating international users. 【0093】 "Within the facility" refers to the grounds of a specific commercial or public facility, including the space in which users move around. 【0094】 "Users" refers to individuals who visit a facility and utilize its information system. 【0095】 "Current location" refers to information indicating where the user is located within the facility, specifically on a particular floor or area. 【0096】 "Location information acquisition means" refers to a function that uses Wi-Fi signal strength or mobile phone base station information to determine the user's current location. 【0097】 A "floor map" is a diagram that shows the structure of a facility and the layout of each store and piece of equipment. 【0098】 "Analysis means" refers to technology that identifies landmarks and structures within a facility based on acquired floor maps and derives the optimal route to the destination. 【0099】 A "route generation means" is a function that constructs the optimal travel route to the user's destination based on the analyzed information. 【0100】 "Guidance means" refers to the process of instructing users on how to travel via voice or text based on a generated route. 【0101】 "Camera images" refer to images taken by users using their mobile devices within the facility. 【0102】 "Route guidance update means" refers to a function that reconfirms the current location in real time from camera images, etc., and corrects the guided route as needed. 【0103】 "Augmented reality display means" refers to technology that supports navigation by integrating elements of the real world with digital information by overlaying virtual objects onto the user's field of vision. 【0104】 The system for implementing this invention identifies the user's location in real time within commercial and public facilities and optimizes guidance to their destination. 【0105】 This system is primarily built around servers, mobile devices (terminals), and cloud services via the internet. The servers are equipped with software for analyzing location information and processing floor maps, and can utilize services from AWS® and Google® Cloud Platform. 【0106】 The device is the user's smartphone and runs on the iOS or Android® platform. This device incorporates software for acquiring location information (Core Location or Location API) and ARKit or ARCore for displaying augmented reality. This software determines the user's current location using Wi-Fi signal strength and cellular base station information. It also uses a camera to acquire images of the facility and transmits them to a server, enabling real-time location tracking and route guidance updates. 【0107】 The user launches the smartphone app and searches for a destination. For example, if the user wants to go to a specific store within a shopping mall, they can prompt the app with "Please find the cafe on the 3rd floor." In this case, the server calculates the optimal route from the floor map it has acquired and provides guidance to the device in real time. The guidance is provided using visually easy-to-understand augmented reality, supporting the user's comfortable movement within the facility. 【0108】 As a result, users can reach their destinations without stress, and multilingual support makes it possible to accommodate international users as well. 【0109】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0110】 Step 1: 【0111】 The user launches the smartphone app and sets a destination. 【0112】 Input: The user enters the prompt message "Please find the cafe on the 3rd floor." into the app. 【0113】 Output: Destination information set in the app is generated. 【0114】 Based on this information, the device prepares to send a request to the server. 【0115】 Step 2: 【0116】 The device obtains its current location. 【0117】 Input: The device obtains Wi-Fi signal strength and cell phone base station information. 【0118】 Output: Current location information is obtained. 【0119】 Using location information acquisition methods, the current location is determined in real time and transmitted to the server. 【0120】 Step 3: 【0121】 The server retrieves and analyzes the floor map. 【0122】 Input: The server receives the current location information sent from the terminal. 【0123】 Output: The results of landmark identification on the facility's floor map are obtained. 【0124】 The server retrieves floor maps from the internet and uses image analysis technology to identify elevators, shops, and other features. 【0125】 Step 4: 【0126】 The server generates the optimal route. 【0127】 Input: Analyzed floor map information and user destination information. 【0128】 Output: Optimal route information is generated. 【0129】 The server calculates the most efficient route to the user's destination based on landmark locations and facility structures. 【0130】 Step 5: 【0131】 The terminal provides route guidance to the user. 【0132】 Input: Optimal route information received from the server. 【0133】 Output: Visual guidance is provided to the user. 【0134】 The device utilizes augmented reality technology to project the user's travel route onto their smartphone. 【0135】 Step 6: 【0136】 The system monitors the user's location in real time and updates route guidance as needed. 【0137】 Input: User's camera image and latest location information. 【0138】 Output: Updated route guidance information is provided to the user. 【0139】 The device re-determines its current location from the camera image, resends it to the server, and reroutes the path. 【0140】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0141】 As an embodiment of this invention, we propose a system that provides emotion-conscious navigation to users in commercial and public facilities. This system is primarily composed of a server, terminals, and the user's mobile device, and further incorporates an emotion engine. 【0142】 First, the device determines the user's current location using Wi-Fi signal strength and cell tower information, and sends this information to the server. Based on the location information, the server retrieves the latest floor map of the relevant facility from the internet. 【0143】 The acquired floor map is analyzed by the server's image analysis technology, identifying landmarks such as elevators and shops. Based on this analysis information, the server generates the optimal route to the user's destination. 【0144】 The user's device provides directions based on routing information supplied by the server. These directions are delivered via voice and text, and are available in multiple languages ​​as needed. 【0145】 Furthermore, this system incorporates an emotion engine. The terminal uses the emotion engine to analyze the user's voice and camera images to identify the user's current emotional state. For example, if stress is detected from the tone of voice, the emotion engine can make the route guidance gentler or add encouraging messages. It also utilizes facial recognition technology; if facial expressions indicating fatigue or anxiety are detected, it will prompt the user to make route selection easier. 【0146】 For example, if a user who has gotten lost within the facility shows signs of anxiety, the terminal analyzes their facial expression, and the emotion engine provides simpler and easier-to-understand route guidance. For instance, it might provide detailed step-by-step instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0147】 This system, by combining emotion recognition with conventional navigation systems, is expected to improve user satisfaction and the user experience. This will allow facility operators to provide guidance to users with greater confidence, thereby increasing the overall efficiency and value of the facility. 【0148】 The following describes the processing flow. 【0149】 Step 1: 【0150】 The device uses Wi-Fi signal strength and cell tower information to determine the user's current location. This location information is then sent to the server. 【0151】 Step 2: 【0152】 The server retrieves the latest floor map of the relevant facility from the internet based on the received location information. 【0153】 Step 3: 【0154】 The server analyzes the acquired floor map using image analysis technology to identify landmarks such as elevators, stairs, and shops. This information is then used to calculate the route. 【0155】 Step 4: 【0156】 The server generates the optimal route to reach the destination entered by the user and sends that information to the terminal. 【0157】 Step 5: 【0158】 The terminal uses routing information provided by the server to give directions to the user via voice or text. The directions are provided in the user's preferred language. 【0159】 Step 6: 【0160】 The device collects the user's voice and camera images and analyzes them using an emotion engine. The user's emotional state is identified, and for example, anxiety or stress may be detected. 【0161】 Step 7: 【0162】 The emotion engine takes into account the detected user's emotions and adjusts the route guidance accordingly. For example, it might add gentler voice guidance or more detailed route explanations. 【0163】 Step 8: 【0164】 As users move around the facility, the terminal continuously tracks their current location in real time, and if necessary, the server reroutes them again and provides updated directions. 【0165】 Step 9: 【0166】 The server will collect user sentiment data and route data, which will be used for future marketing and facility optimization. 【0167】 (Example 2) 【0168】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0169】 Conventional facility guidance systems have the drawback of not considering the emotional state of users, resulting in insufficient improvements in user safety and satisfaction. Furthermore, inadequate multilingual support leads to problems with the accuracy and comprehension of guidance for users speaking different languages. Additionally, a lack of flexibility in adapting to changes in facility layout sometimes prevents the effective use of the latest map information. 【0170】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0171】 In this invention, the server includes means for determining the user's current location using the user's peripheral devices, means for acquiring a map of the target space from a public information network, means for analyzing the acquired map and generating a route to the destination, means for analyzing the user's emotional state based on their voice and video and adjusting the route guidance, and means for providing guidance in multiple languages ​​via voice and text. This enables flexible and reassuring guidance that responds to the user's emotional state, and multilingual support allows for accurate and easy-to-understand guidance even for users who speak different languages. Furthermore, by utilizing the latest map information, it is possible to quickly respond to changes in the facility layout and always provide optimal route guidance. 【0172】 "User's peripheral devices" refers to electronic devices such as personal information terminals owned or operated by the user, through which location information is acquired and guidance information is received. 【0173】 A "public information network" refers to an information network that is widely available to the general public, such as the internet, through which map data and related information are obtained. 【0174】 A "map of the target space" is information that shows the structure and layout of a specific facility or area, and serves as a basis for route guidance. 【0175】 "Emotional state" refers to information that indicates the user's psychological state, and is analyzed from voice tone and facial expressions. 【0176】 "Providing information in multiple languages" refers to offering users information translated into different languages, and signifies the ability to communicate guidance information in multiple languages. 【0177】 This invention is a system that provides emotion-aware navigation to users in commercial and public facilities. By combining a server, terminals, and user peripherals, and further utilizing an emotion analysis engine, it achieves more flexible and accurate navigation. 【0178】 The server receives data transmitted from the user's peripheral devices and determines their location. The hardware used here includes mobile devices such as smartphones and tablets, which utilize Wi-Fi signals and cellular base station information. As for software, a Geographic Information System (GIS) is used to analyze the location information. 【0179】 The server obtains the latest map data through public information networks. In this process, it uses map APIs and database technologies to collect landmark and route information within the facility. Then, it analyzes the acquired maps using image analysis technologies (e.g., open-source image processing libraries) to identify important indicators within the facility. 【0180】 Next, the user's device provides route information received from the server in both voice and text. The guidance is multilingual, and information can be translated into the user's specified language using a translation API. Specifically, if a user gets lost within the facility, the device will provide detailed instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0181】 Furthermore, the device performs emotion analysis based on the user's voice and camera images, providing guidance tailored to the user's emotional state. It utilizes an emotion analysis engine and AI models to analyze voice tone and facial expressions. Based on these results, it adjusts the tone of the guidance and adds encouraging messages as needed. An example of a prompt to be input into the generating AI model is, "Consider the user's current emotional state and generate calm and detailed route guidance." 【0182】 This invention makes it possible to provide users within a facility with real-time, emotion-responsive guidance, offering a more comfortable and stress-free travel experience. 【0183】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0184】 Step 1: 【0185】 The device determines the user's current location. It uses Wi-Fi signal strength and information from cellular base stations as input. Using this data, it executes a location-determining algorithm (such as triangulation) within the device and outputs the current location coordinates. This output information is sent to the server, allowing the process to proceed to the next step. 【0186】 Step 2: 【0187】 The server retrieves the latest map data for the target facility from the public information network based on the received location information. The input includes the user's location information and the facility identifier. Using this information, the server calls a map API to obtain the latest map data, converts it to an internal data format for analysis, and outputs it. This data is used in the next analysis step. 【0188】 Step 3: 【0189】 The server analyzes the acquired map data using image analysis technology. It receives map data as input and recognizes landmarks using image analysis software (such as OpenCV). For data processing, it extracts the coordinates of landmarks from the pixel data and outputs them as landmark information. This output data is used for route generation. 【0190】 Step 4: 【0191】 The server generates the optimal route to the user's destination based on the analyzed landmark information. It uses landmark information and the user's destination information as input. Route calculation is performed using Dijkstra's algorithm or the A algorithm, and route information is output. The output route information is provided to the user's terminal as route guidance. 【0192】 Step 5: 【0193】 The terminal provides users with voice and text guidance based on route information received from the server. Route information is used as input, and based on this, a speech synthesis engine and text display function are used to output guidance information in multiple languages. This allows users to easily reach their destinations within the facility. 【0194】 Step 6: 【0195】 The device analyzes the user's emotional state using their voice and camera images. It takes voice and video data as input and performs analysis using an emotion analysis engine (for example, IBM's emotion analysis API). As a result of the data calculation, it outputs an emotion score, and adjusts the tone and messages of the guidance based on this score. 【0196】 Step 7: 【0197】 The device provides guidance information to the user based on the results of an analysis of their emotional state. It takes an emotional score as input, which is then fed into an AI model that generates prompts and adjusts the guidance message accordingly. For example, it might output guidance in a calm tone to alleviate the user's anxiety. 【0198】 (Application Example 2) 【0199】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0200】 Traditional navigation systems have the function of identifying a user's current location and providing a route, but they do not take into account the user's emotional state, which can lead to frustration and stress for some users. In particular, in large facilities or crowded environments, users are more likely to get lost and become anxious. This, in turn, can lead to a decline in the user experience at the facility. 【0201】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0202】 In this invention, the server includes means for acquiring a floor map of a facility based on location information, means for analyzing the user's emotional state using emotion analysis means, and means for adjusting the content of route guidance based on emotions. This enables flexible and appropriate route guidance tailored to the user's emotional state. 【0203】 "Location information acquisition means" refers to methods and technologies for determining the current location of a user within a facility. 【0204】 A "floor map" is a detailed map of each level within a building or facility. 【0205】 "Analysis means" refers to techniques or methods for extracting information based on acquired data and performing evaluations or judgments. 【0206】 "Route guidance" refers to the act of providing instructions and information to help users follow the optimal route to their destination. 【0207】 "Emotional analysis means" refers to a technology or method for detecting and evaluating a user's emotional state. 【0208】 A "generative AI model" is an artificial intelligence algorithm that generates new information or text based on data. 【0209】 A "prompt message" is a command or input sentence given to an AI model to obtain a specific output. 【0210】 The system implementing this invention consists of a server, a terminal, and a user's mobile device. First, the terminal uses Wi-Fi signals and cell tower information to determine the user's current location. Once the location information is obtained, the server uses that information to retrieve the latest floor map of the facility from the internet. 【0211】 The acquired floor map is analyzed using image analysis technology on the server to identify landmarks within the facility and information related to destinations. Image analysis software such as TENSORFLOW® is used for this analysis. Based on the analysis results, the server generates the optimal route and transmits the generated route information to the terminal. 【0212】 Furthermore, the device uses an emotion analysis module to analyze the user's facial expressions and voice data to identify the user's emotional state. This uses emotion analysis software such as DeepFace or the Emotion Recognition API. Once the results of the emotion analysis are obtained, the server uses the generated AI model to create appropriate guidance text based on the user's emotions. 【0213】 This guidance message is provided to the user's device in multilingual format, either as audio or text. For example, if the user indicates fatigue, the server will generate a prompt such as, "You must be tired. There's a cafe nearby; would you like to take a break?" 【0214】 This system enables flexible and comfortable guidance that responds to the user's emotions, improving the user experience at the facility. Examples of prompt messages are as follows: 【0215】 Example of a prompt: 【0216】 Visitor's current emotion: Fatigue 【0217】 Visitor's current location: 200m from the shopping mall entrance 【0218】 Destination: Cafe 【0219】 Generated message: "Thank you for your hard work. Why don't you take a short break here?" 【0220】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0221】 Step 1: 【0222】 The device acquires Wi-Fi signals and cellular base station information to determine the user's location. Based on this signal information, it calculates location information to determine the user's current location. The input is Wi-Fi signal strength and cellular base station information, and the output is the user's current location information. Specifically, the device continuously scans for signals and calculates the location emitting the strongest signal. 【0223】 Step 2: 【0224】 The server retrieves the latest floor map of the relevant facility from the internet based on the current location information received from the terminal. The input is the user's current location information, and the output is floor map data. Specifically, the server calls an API to the facility management database and requests the latest floor map corresponding to the location. 【0225】 Step 3: 【0226】 When the server receives a floor map, it analyzes it using image analysis techniques. It recognizes landmarks and route information within the floor map and generates the optimal route to the destination. The input is floor map data, and the output is landmark information and optimal route information. Specifically, the server uses TensorFlow to recognize landmarks and applies a route calculation algorithm. 【0227】 Step 4: 【0228】 The device uses a camera and microphone to collect image and audio data in order to analyze the user's emotions. The input is camera images and audio data, and the output is analyzed emotion data. Specifically, the device calls DeepFace or Emotion Recognition APIs to analyze emotions in real time. 【0229】 Step 5: 【0230】 The server generates guidance text using a generative AI model based on emotion data and route information. The input is emotion data and optimal route information, and the output is a prompt text corresponding to the emotion. Specifically, the server passes the input data to a generative AI model such as OpenAI's GPT-3, and generates appropriate text. 【0231】 Step 6: 【0232】 The terminal receives case messages sent from the server and provides information to the user in either voice or text. The input is a generated prompt message, and the output is guidance information for the user. Specifically, the terminal uses Amazon Polly to convert the prompt message into speech and plays it through the speaker. 【0233】 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. 【0234】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0235】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0236】 [Second Embodiment] 【0237】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0238】 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. 【0239】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0240】 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. 【0241】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0242】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0243】 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. 【0244】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0245】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0246】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0247】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0248】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0249】 One possible embodiment of this invention is a system for providing efficient directions to users in commercial or public facilities. This system consists of a server, terminals, and a user's portable device. 【0250】 First, the device determines the user's current location using Wi-Fi signal strength and cell phone base station information. The device then sends this location information to the server. 【0251】 Based on the received current location information, the server searches the internet for the floor map of the relevant facility and retrieves the latest floor map. This floor map is then analyzed using the server's image analysis technology. Specifically, this includes a procedure to identify important landmarks such as elevators, stairwells, and shops, and to pinpoint their locations. 【0252】 Next, the server generates the optimal route to the user's destination based on the analyzed information. This route is calculated while taking into account the location of landmarks and the structure of facilities, and is designed to provide efficient navigation. 【0253】 The generated route information is transmitted to the user via the terminal. The terminal delivers route guidance to the user via voice or text message, and its multilingual support enables guidance for foreign tourists as well. Furthermore, if the user is using a camera within the facility, the terminal determines the user's current location in real time from the camera image and reroutes the route as needed to continue guidance. 【0254】 As a concrete example, consider a user visiting a shopping mall and looking for a specific store. The terminal detects the user's location, and the server uses that information to obtain and analyze a floor map. The optimal route to the destination, generated by the server, is communicated to the user through the terminal as specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." If the user mistakenly goes in a different direction, the server reroutes them and quickly guides them back to the correct path. 【0255】 This system will enable highly accurate, multilingual directions to users while keeping infrastructure development costs down, and is expected to improve user satisfaction. 【0256】 The following describes the processing flow. 【0257】 Step 1: 【0258】 The device uses Wi-Fi signal strength and cell tower location information to determine the user's current location. This information is then sent to the server. 【0259】 Step 2: 【0260】 The server searches the internet based on the received location information and retrieves the floor map of the relevant facility. The most recent floor map is selected first. 【0261】 Step 3: 【0262】 The server analyzes the acquired floor map using image analysis technology. Specifically, it identifies important landmarks such as elevators, stairs, and store names and locations, and extracts their location information. 【0263】 Step 4: 【0264】 The server generates the optimal route from an analyzed floor map based on the user's destination information. The route is calculated taking into account the facility's structure and the distances between specific landmarks. 【0265】 Step 5: 【0266】 The terminal provides voice or text guidance to the user based on route information received from the server. Multilingual support allows guidance to be provided in the user's preferred language. 【0267】 Step 6: 【0268】 The device analyzes the user's camera image in real time to determine their current location. Based on this information, the server updates the route guidance and reroutes as needed. 【0269】 Step 7: 【0270】 The server collects behavioral data about users' movements and places they visit, and provides personalized information. This is used to optimize marketing and advertising delivery. 【0271】 (Example 1) 【0272】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0273】 There is a lack of navigation systems in commercial and public facilities that allow users to quickly and accurately find their destinations. In particular, there is a demand for systems that support multiple languages ​​and allow for real-time route correction. 【0274】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0275】 In this invention, the server includes means for acquiring radio wave strength information and location information to determine the user's current location, means for acquiring a floor plan of a building from an information network, and processing means for analyzing the floor plan and generating a route to the destination. This makes it possible to provide users with fast, accurate, and multilingual directions in real time. 【0276】 "Radio wave strength information" is an indicator of signal strength in wireless communication and is data used to determine location information. 【0277】 "Location information acquisition means" refers to a device or method for determining the user's current location, and is a technology that measures location using radio signals or satellite data. 【0278】 An "information network" is a network system used to acquire and transmit information via the internet or other means. 【0279】 The "building floor plan" is a drawing showing the structure inside a building and is a material for visually understanding the internal layout of the facility. 【0280】 The "processing means" is a device or method for performing a specified process based on specific data, and is often implemented as a computer program. 【0281】 The "landmark" refers to a landmark or important point for identifying a specific location and is a reference for recognizing a specific physical or map location. 【0282】 This invention is a system for providing efficient route guidance to users in commercial facilities and public facilities. This system is composed of a server, a terminal, and a mobile device held by the user. 【0283】 First, the terminal installed in the user's mobile device identifies the user's current location using the Wi-Fi radio wave intensity and the base station information of the mobile communication. The location information is captured in real time, and the terminal utilizes the Internet as a communication means to transmit this information to the server. 【0284】 Next, based on the received location information, the server searches for the relevant building floor plan from the information network and acquires the latest one. The server implements image analysis technology. Specifically, it uses an open-source image processing library (e.g., OpenCV) to analyze the floor plan and identify landmarks such as elevators, stairs, and stores inside the building. 【0285】 Subsequently, the server uses the analyzed data to calculate the optimal route to the user's destination. Route search algorithms such as Dijkstra's algorithm are utilized for route calculation, and the generated route information is transmitted to the terminal again. 【0286】 The terminal guides the user about the received route information by voice or text message. Thanks to the voice synthesis engine and multi-language support function installed in the terminal, it is possible to provide easy-to-understand guidance even for foreign tourists. For example, as an instruction for the user to reach the destination, specific guidance such as "Go straight ahead until you reach the escalator, go up to the 3rd floor, and then turn right" is provided. 【0287】 Also, when the user heads in the wrong direction inside the facility, the terminal can use the camera to identify the current position in real time, and the server can automatically reroute the path and provide re-guidance on the correct route sequence. This provides a stress-free moving experience for the user. With this system, a high-precision multi-language route guidance service is realized while suppressing the infrastructure maintenance cost of the facility. 【0288】 Example of prompt sentence: "Please generate a prompt regarding the route guidance system in the shopping mall. Please show an example of the guidance message used when the user is looking for a certain store." 【0289】 The flow of the specific process in Example 1 will be described using FIG. 11. 【0290】 Step 1: 【0291】 The terminal identifies the current position of the user using the Wi-Fi radio wave intensity and the base station information of the mobile phone. The input is the wireless signals existing around the user, and these signals are analyzed to calculate the current location. The terminal also uses GPS data as an auxiliary to identify the exact position. The output is the coordinate information of the user. 【0292】 Step 2: 【0293】 The terminal transmits the identified position information of the user to the server. The input is the coordinate data of the position information, and the data is packaged and encrypted in order to send it to the server via the Internet. The output is the position information data packet received by the server. 【0294】 Step 3: 【0295】 The server retrieves the latest floor plans of the relevant buildings through its information network based on the received location information. The input is the user's current location information, and based on this, it searches for floor plans in cloud databases and online repositories. The output is a floor plan file stored in memory for analysis. 【0296】 Step 4: 【0297】 The server analyzes the acquired floor plan using image analysis technology. The input is a floor plan file, and open-source image processing libraries (e.g., OpenCV) are used for processing. Through analysis, landmarks such as elevators, stairs, and shops are identified, and their coordinates are extracted. The output is analyzed data containing the location information of the landmarks. 【0298】 Step 5: 【0299】 The server calculates the optimal route to the user's destination based on the analyzed data. The input consists of analyzed landmark data and the user's destination information, and the shortest route is generated using Dijkstra's algorithm. The output is the route information sent to the terminal. 【0300】 Step 6: 【0301】 The terminal provides the user with route information received from the server. The input is route information provided by the server, which is used by a speech synthesis engine to generate voice guidance, while simultaneously displaying the guidance in text format on the screen. The output is voice and visual directions for the user. 【0302】 Step 7: 【0303】 If the user may be heading in the wrong direction, the terminal re - identifies the current location in real - time using the camera image. The input is the image captured by the terminal's camera, which is analyzed to re - confirm landmarks within the facility. If necessary, new location information is sent to the server and a reroute of the path is requested. The output is a re - guidance based on the updated path information. 【0304】 (Application Example 1) 【0305】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0306】 In commercial facilities and public facilities, accurate location information and clear route guidance are essential for users to move efficiently to their destinations. Also, a guidance system that supports multiple languages and meets the needs of diverse users is required. However, conventional systems often lack real - time location tracking, visually clear navigation, especially in providing support for users with visual impairments. Solving this problem and enhancing the convenience and safety of users are required. 【0307】 The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0308】 In this invention, the server includes: means for acquiring location information to identify the current location of a user within a facility; means for acquiring a floor map of the facility from the Internet; means for analyzing the acquired floor map and generating a path to the destination; means for guiding the user based on the generated path information; and augmented reality display means for visually assisting navigation in the real - world environment. As a result, it becomes possible to provide an efficient movement path within the facility, and to provide visually clear guidance to the user, enabling comfortable use of the facility and corresponding to international users. 【0309】 "Within the facility" refers to the grounds of a specific commercial or public facility, including the space in which users move around. 【0310】 "Users" refers to individuals who visit a facility and utilize its information system. 【0311】 "Current location" refers to information indicating where the user is located within the facility, specifically on a particular floor or area. 【0312】 "Location information acquisition means" refers to a function that uses Wi-Fi signal strength or mobile phone base station information to determine the user's current location. 【0313】 A "floor map" is a diagram that shows the structure of a facility and the layout of each store and piece of equipment. 【0314】 "Analysis means" refers to technology that identifies landmarks and structures within a facility based on acquired floor maps and derives the optimal route to the destination. 【0315】 A "route generation means" is a function that constructs the optimal travel route to the user's destination based on the analyzed information. 【0316】 "Guidance means" refers to the process of instructing users on how to travel via voice or text based on a generated route. 【0317】 "Camera images" refer to images taken by users using their mobile devices within the facility. 【0318】 "Route guidance update means" refers to a function that reconfirms the current location in real time from camera images, etc., and corrects the guided route as needed. 【0319】 "Augmented reality display means" refers to technology that supports navigation by integrating elements of the real world with digital information by overlaying virtual objects onto the user's field of vision. 【0320】 The system for implementing this invention identifies the user's location in real time within commercial and public facilities and optimizes guidance to their destination. 【0321】 This system is primarily built around servers, mobile devices (terminals), and cloud services via the internet. The servers are equipped with software for analyzing location information and processing floor maps, and can utilize services from AWS and Google Cloud Platform. 【0322】 The device is the user's smartphone, running on iOS or Android platforms. This device incorporates software for acquiring location information (Core Location or Location API) and ARKit or ARCore for displaying augmented reality. This software determines the user's current location using Wi-Fi signal strength and cellular base station information. It also uses a camera to acquire images of the facility and transmits them to a server, enabling real-time location tracking and route guidance updates. 【0323】 The user launches the smartphone app and searches for a destination. For example, if the user wants to go to a specific store within a shopping mall, they can prompt the app with "Please find the cafe on the 3rd floor." In this case, the server calculates the optimal route from the floor map it has acquired and provides guidance to the device in real time. The guidance is provided using visually easy-to-understand augmented reality, supporting the user's comfortable movement within the facility. 【0324】 As a result, users can reach their destinations without stress, and multilingual support makes it possible to accommodate international users as well. 【0325】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0326】 Step 1: 【0327】 The user launches the smartphone app and sets a destination. 【0328】 Input: The user enters the prompt message "Please find the cafe on the 3rd floor." into the app. 【0329】 Output: Destination information set in the app is generated. 【0330】 Based on this information, the device prepares to send a request to the server. 【0331】 Step 2: 【0332】 The device obtains its current location. 【0333】 Input: The device obtains Wi-Fi signal strength and cell phone base station information. 【0334】 Output: Current location information is obtained. 【0335】 Using location information acquisition methods, the current location is determined in real time and transmitted to the server. 【0336】 Step 3: 【0337】 The server retrieves and analyzes the floor map. 【0338】 Input: The server receives the current location information sent from the terminal. 【0339】 Output: The results of landmark identification on the facility's floor map are obtained. 【0340】 The server retrieves floor maps from the internet and uses image analysis technology to identify elevators, shops, and other features. 【0341】 Step 4: 【0342】 The server generates the optimal route. 【0343】 Input: Analyzed floor map information and user destination information. 【0344】 Output: Optimal route information is generated. 【0345】 The server calculates the most efficient route to the user's destination based on landmark locations and facility structures. 【0346】 Step 5: 【0347】 The terminal provides route guidance to the user. 【0348】 Input: Optimal route information received from the server. 【0349】 Output: Visual guidance is provided to the user. 【0350】 The device utilizes augmented reality technology to project the user's travel route onto their smartphone. 【0351】 Step 6: 【0352】 The system monitors the user's location in real time and updates route guidance as needed. 【0353】 Input: User's camera image and latest location information. 【0354】 Output: Updated route guidance information is provided to the user. 【0355】 The device re-determines its current location from the camera image, resends it to the server, and reroutes the path. 【0356】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0357】 As an embodiment of this invention, we propose a system that provides emotion-conscious navigation to users in commercial and public facilities. This system is primarily composed of a server, terminals, and the user's mobile device, and further incorporates an emotion engine. 【0358】 First, the device determines the user's current location using Wi-Fi signal strength and cell tower information, and sends this information to the server. Based on the location information, the server retrieves the latest floor map of the relevant facility from the internet. 【0359】 The acquired floor map is analyzed by the server's image analysis technology, identifying landmarks such as elevators and shops. Based on this analysis information, the server generates the optimal route to the user's destination. 【0360】 The user's device provides directions based on routing information supplied by the server. These directions are delivered via voice and text, and are available in multiple languages ​​as needed. 【0361】 Furthermore, this system incorporates an emotion engine. The terminal uses the emotion engine to analyze the user's voice and camera images to identify the user's current emotional state. For example, if stress is detected from the tone of voice, the emotion engine can make the route guidance gentler or add encouraging messages. It also utilizes facial recognition technology; if facial expressions indicating fatigue or anxiety are detected, it will prompt the user to make route selection easier. 【0362】 For example, if a user who has gotten lost within the facility shows signs of anxiety, the terminal analyzes their facial expression, and the emotion engine provides simpler and easier-to-understand route guidance. For instance, it might provide detailed step-by-step instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0363】 This system, by combining emotion recognition with conventional navigation systems, is expected to improve user satisfaction and the user experience. This will allow facility operators to provide guidance to users with greater confidence, thereby increasing the overall efficiency and value of the facility. 【0364】 The following describes the processing flow. 【0365】 Step 1: 【0366】 The device uses Wi-Fi signal strength and cell tower information to determine the user's current location. This location information is then sent to the server. 【0367】 Step 2: 【0368】 The server retrieves the latest floor map of the relevant facility from the internet based on the received location information. 【0369】 Step 3: 【0370】 The server analyzes the acquired floor map using image analysis technology to identify landmarks such as elevators, stairs, and shops. This information is then used to calculate the route. 【0371】 Step 4: 【0372】 The server generates the optimal route to reach the destination entered by the user and sends that information to the terminal. 【0373】 Step 5: 【0374】 The terminal uses routing information provided by the server to give directions to the user via voice or text. The directions are provided in the user's preferred language. 【0375】 Step 6: 【0376】 The device collects the user's voice and camera images and analyzes them using an emotion engine. The user's emotional state is identified, and for example, anxiety or stress may be detected. 【0377】 Step 7: 【0378】 The emotion engine takes into account the detected user's emotions and adjusts the route guidance accordingly. For example, it might add gentler voice guidance or more detailed route explanations. 【0379】 Step 8: 【0380】 As users move around the facility, the terminal continuously tracks their current location in real time, and if necessary, the server reroutes them again and provides updated directions. 【0381】 Step 9: 【0382】 The server will collect user sentiment data and route data, which will be used for future marketing and facility optimization. 【0383】 (Example 2) 【0384】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0385】 Conventional facility guidance systems have the drawback of not considering the emotional state of users, resulting in insufficient improvements in user safety and satisfaction. Furthermore, inadequate multilingual support leads to problems with the accuracy and comprehension of guidance for users speaking different languages. Additionally, a lack of flexibility in adapting to changes in facility layout sometimes prevents the effective use of the latest map information. 【0386】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0387】 In this invention, the server includes means for determining the user's current location using the user's peripheral devices, means for acquiring a map of the target space from a public information network, means for analyzing the acquired map and generating a route to the destination, means for analyzing the user's emotional state based on their voice and video and adjusting the route guidance, and means for providing guidance in multiple languages ​​via voice and text. This enables flexible and reassuring guidance that responds to the user's emotional state, and multilingual support allows for accurate and easy-to-understand guidance even for users who speak different languages. Furthermore, by utilizing the latest map information, it is possible to quickly respond to changes in the facility layout and always provide optimal route guidance. 【0388】 "User's peripheral devices" refers to electronic devices such as personal information terminals owned or operated by the user, through which location information is acquired and guidance information is received. 【0389】 A "public information network" refers to an information network that is widely available to the general public, such as the internet, through which map data and related information are obtained. 【0390】 A "map of the target space" is information that shows the structure and layout of a specific facility or area, and serves as a basis for route guidance. 【0391】 "Emotional state" refers to information that indicates the user's psychological state, and is analyzed from voice tone and facial expressions. 【0392】 "Providing information in multiple languages" refers to offering users information translated into different languages, and signifies the ability to communicate guidance information in multiple languages. 【0393】 This invention is a system that provides emotion-aware navigation to users in commercial and public facilities. By combining a server, terminals, and user peripherals, and further utilizing an emotion analysis engine, it achieves more flexible and accurate navigation. 【0394】 The server receives data transmitted from the user's peripheral devices and determines their location. The hardware used here includes mobile devices such as smartphones and tablets, which utilize Wi-Fi signals and cellular base station information. As for software, a Geographic Information System (GIS) is used to analyze the location information. 【0395】 The server obtains the latest map data through public information networks. In this process, it uses map APIs and database technologies to collect landmark and route information within the facility. Then, it analyzes the acquired maps using image analysis technologies (e.g., open-source image processing libraries) to identify important indicators within the facility. 【0396】 Next, the user's device provides route information received from the server in both voice and text. The guidance is multilingual, and information can be translated into the user's specified language using a translation API. Specifically, if a user gets lost within the facility, the device will provide detailed instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0397】 Furthermore, the device performs emotion analysis based on the user's voice and camera images, providing guidance tailored to the user's emotional state. It utilizes an emotion analysis engine and AI models to analyze voice tone and facial expressions. Based on these results, it adjusts the tone of the guidance and adds encouraging messages as needed. An example of a prompt to be input into the generating AI model is, "Consider the user's current emotional state and generate calm and detailed route guidance." 【0398】 This invention makes it possible to provide users within a facility with real-time, emotion-responsive guidance, offering a more comfortable and stress-free travel experience. 【0399】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0400】 Step 1: 【0401】 The device determines the user's current location. It uses Wi-Fi signal strength and information from cellular base stations as input. Using this data, it executes a location-determining algorithm (such as triangulation) within the device and outputs the current location coordinates. This output information is sent to the server, allowing the process to proceed to the next step. 【0402】 Step 2: 【0403】 The server retrieves the latest map data for the target facility from the public information network based on the received location information. The input includes the user's location information and the facility identifier. Using this information, the server calls a map API to obtain the latest map data, converts it to an internal data format for analysis, and outputs it. This data is used in the next analysis step. 【0404】 Step 3: 【0405】 The server analyzes the acquired map data using image analysis technology. It receives map data as input and recognizes landmarks using image analysis software (such as OpenCV). For data processing, it extracts the coordinates of landmarks from the pixel data and outputs them as landmark information. This output data is used for route generation. 【0406】 Step 4: 【0407】 The server generates the optimal route to the user's destination based on the analyzed landmark information. It uses landmark information and the user's destination information as input. Route calculation is performed using Dijkstra's algorithm or the A algorithm, and route information is output. The output route information is provided to the user's terminal as route guidance. 【0408】 Step 5: 【0409】 The terminal provides users with voice and text guidance based on route information received from the server. Route information is used as input, and based on this, a speech synthesis engine and text display function are used to output guidance information in multiple languages. This allows users to easily reach their destinations within the facility. 【0410】 Step 6: 【0411】 The device analyzes the user's emotional state using their voice and camera images. It takes voice and video data as input and performs analysis using an emotion analysis engine (for example, IBM's emotion analysis API). As a result of the data calculation, it outputs an emotion score, and adjusts the tone and messages of the guidance based on this score. 【0412】 Step 7: 【0413】 The device provides guidance information to the user based on the results of an analysis of their emotional state. It takes an emotional score as input, which is then fed into an AI model that generates prompts and adjusts the guidance message accordingly. For example, it might output guidance in a calm tone to alleviate the user's anxiety. 【0414】 (Application Example 2) 【0415】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the smart glasses 214 as the "terminal". 【0416】 Traditional navigation systems have the function of identifying a user's current location and providing a route, but they do not take into account the user's emotional state, which can lead to frustration and stress for some users. In particular, in large facilities or crowded environments, users are more likely to get lost and become anxious. This, in turn, can lead to a decline in the user experience at the facility. 【0417】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0418】 In this invention, the server includes means for acquiring a floor map of a facility based on location information, means for analyzing the user's emotional state using emotion analysis means, and means for adjusting the content of route guidance based on emotions. This enables flexible and appropriate route guidance tailored to the user's emotional state. 【0419】 "Location information acquisition means" refers to methods and technologies for determining the current location of a user within a facility. 【0420】 A "floor map" is a detailed map of each level within a building or facility. 【0421】 "Analysis means" refers to techniques or methods for extracting information based on acquired data and performing evaluations or judgments. 【0422】 "Route guidance" refers to the act of providing instructions and information to help users follow the optimal route to their destination. 【0423】 "Emotional analysis means" refers to a technology or method for detecting and evaluating a user's emotional state. 【0424】 A "generative AI model" is an artificial intelligence algorithm that generates new information or text based on data. 【0425】 A "prompt message" is a command or input sentence given to an AI model to obtain a specific output. 【0426】 The system implementing this invention consists of a server, a terminal, and a user's mobile device. First, the terminal uses Wi-Fi signals and cell tower information to determine the user's current location. Once the location information is obtained, the server uses that information to retrieve the latest floor map of the facility from the internet. 【0427】 The acquired floor map is analyzed using image analysis technology on the server to identify landmarks within the facility and information related to destinations. Image analysis software such as TensorFlow is used for this analysis. Based on the analysis results, the server generates the optimal route and sends the generated route information to the terminal. 【0428】 Furthermore, the device uses an emotion analysis module to analyze the user's facial expressions and voice data to identify the user's emotional state. This uses emotion analysis software such as DeepFace or the Emotion Recognition API. Once the results of the emotion analysis are obtained, the server uses the generated AI model to create appropriate guidance text based on the user's emotions. 【0429】 This guidance message is provided to the user's device in multilingual format, either as audio or text. For example, if the user indicates fatigue, the server will generate a prompt such as, "You must be tired. There's a cafe nearby; would you like to take a break?" 【0430】 This system enables flexible and comfortable guidance that responds to the user's emotions, improving the user experience at the facility. Examples of prompt messages are as follows: 【0431】 Example of a prompt: 【0432】 Visitor's current emotion: Fatigue 【0433】 Visitor's current location: 200m from the shopping mall entrance 【0434】 Destination: Cafe 【0435】 Generated message: "Thank you for your hard work. Why don't you take a short break here?" 【0436】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0437】 Step 1: 【0438】 The device acquires Wi-Fi signals and cellular base station information to determine the user's location. Based on this signal information, it calculates location information to determine the user's current location. The input is Wi-Fi signal strength and cellular base station information, and the output is the user's current location information. Specifically, the device continuously scans for signals and calculates the location emitting the strongest signal. 【0439】 Step 2: 【0440】 The server retrieves the latest floor map of the relevant facility from the internet based on the current location information received from the terminal. The input is the user's current location information, and the output is floor map data. Specifically, the server calls an API to the facility management database and requests the latest floor map corresponding to the location. 【0441】 Step 3: 【0442】 When the server receives a floor map, it analyzes it using image analysis techniques. It recognizes landmarks and route information within the floor map and generates the optimal route to the destination. The input is floor map data, and the output is landmark information and optimal route information. Specifically, the server uses TensorFlow to recognize landmarks and applies a route calculation algorithm. 【0443】 Step 4: 【0444】 The device uses a camera and microphone to collect image and audio data in order to analyze the user's emotions. The input is camera images and audio data, and the output is analyzed emotion data. Specifically, the device calls DeepFace or Emotion Recognition APIs to analyze emotions in real time. 【0445】 Step 5: 【0446】 The server generates guidance text using a generative AI model based on emotion data and route information. The input is emotion data and optimal route information, and the output is a prompt text corresponding to the emotion. Specifically, the server passes the input data to a generative AI model such as OpenAI's GPT-3 and generates appropriate text. 【0447】 Step 6: 【0448】 The terminal receives case messages sent from the server and provides information to the user in either voice or text. The input is a generated prompt message, and the output is guidance information for the user. Specifically, the terminal uses Amazon Polly to convert the prompt message into speech and plays it through the speaker. 【0449】 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. 【0450】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0451】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0452】 [Third Embodiment] 【0453】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0454】 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. 【0455】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0456】 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. 【0457】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0458】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0459】 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. 【0460】 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. 【0461】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0462】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0463】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0464】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0465】 One possible embodiment of this invention is a system for providing efficient directions to users in commercial or public facilities. This system consists of a server, terminals, and a user's portable device. 【0466】 First, the device determines the user's current location using Wi-Fi signal strength and cell phone base station information. The device then sends this location information to the server. 【0467】 Based on the received current location information, the server searches the internet for the floor map of the relevant facility and retrieves the latest floor map. This floor map is then analyzed using the server's image analysis technology. Specifically, this includes a procedure to identify important landmarks such as elevators, stairwells, and shops, and to pinpoint their locations. 【0468】 Next, the server generates the optimal route to the user's destination based on the analyzed information. This route is calculated while taking into account the location of landmarks and the structure of facilities, and is designed to provide efficient navigation. 【0469】 The generated route information is transmitted to the user via the terminal. The terminal delivers route guidance to the user via voice or text message, and its multilingual support enables guidance for foreign tourists as well. Furthermore, if the user is using a camera within the facility, the terminal determines the user's current location in real time from the camera image and reroutes the route as needed to continue guidance. 【0470】 As a concrete example, consider a user visiting a shopping mall and looking for a specific store. The terminal detects the user's location, and the server uses that information to obtain and analyze a floor map. The optimal route to the destination, generated by the server, is communicated to the user through the terminal as specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." If the user mistakenly goes in a different direction, the server reroutes them and quickly guides them back to the correct path. 【0471】 This system will enable highly accurate, multilingual directions to users while keeping infrastructure development costs down, and is expected to improve user satisfaction. 【0472】 The following describes the processing flow. 【0473】 Step 1: 【0474】 The device uses Wi-Fi signal strength and cell tower location information to determine the user's current location. This information is then sent to the server. 【0475】 Step 2: 【0476】 The server searches the internet based on the received location information and retrieves the floor map of the relevant facility. The most recent floor map is selected first. 【0477】 Step 3: 【0478】 The server analyzes the acquired floor map using image analysis technology. Specifically, it identifies important landmarks such as elevators, stairs, and store names and locations, and extracts their location information. 【0479】 Step 4: 【0480】 The server generates the optimal route from an analyzed floor map based on the user's destination information. The route is calculated taking into account the facility's structure and the distances between specific landmarks. 【0481】 Step 5: 【0482】 The terminal provides voice or text guidance to the user based on route information received from the server. Multilingual support allows guidance to be provided in the user's preferred language. 【0483】 Step 6: 【0484】 The device analyzes the user's camera image in real time to determine their current location. Based on this information, the server updates the route guidance and reroutes as needed. 【0485】 Step 7: 【0486】 The server collects behavioral data about users' movements and places they visit, and provides personalized information. This is used to optimize marketing and advertising delivery. 【0487】 (Example 1) 【0488】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0489】 There is a lack of navigation systems in commercial and public facilities that allow users to quickly and accurately find their destinations. In particular, there is a demand for systems that support multiple languages ​​and allow for real-time route correction. 【0490】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0491】 In this invention, the server includes means for acquiring radio wave strength information and location information to determine the user's current location, means for acquiring a floor plan of a building from an information network, and processing means for analyzing the floor plan and generating a route to the destination. This makes it possible to provide users with fast, accurate, and multilingual directions in real time. 【0492】 "Radio wave strength information" is an indicator of signal strength in wireless communication and is data used to determine location information. 【0493】 "Location information acquisition means" refers to a device or method for determining the user's current location, and is a technology that measures location using radio signals or satellite data. 【0494】 An "information network" is a network system used to acquire and transmit information via the internet or other means. 【0495】 A "building floor plan" is a diagram that shows the structure inside a building and is a document used to visually understand the internal layout of a facility. 【0496】 A "processing means" is a device or method for performing specified processing based on specific data, and is often implemented as a computer program. 【0497】 A "landmark" refers to a landmark or important point used to identify a specific location, and is a criterion for recognizing a particular place, either physically or on a map. 【0498】 This invention is a system for providing efficient directions to users in commercial and public facilities. The system consists of a server, terminals, and a portable device carried by the user. 【0499】 First, a terminal installed in the user's mobile device determines the user's current location using Wi-Fi signal strength and cellular base station information. This location information is captured in real time, and the terminal uses the internet as a means of communication to send this information to a server. 【0500】 Next, the server searches the network for floor plans of the relevant building based on the received location information and retrieves the latest one. The server implements image analysis technology, specifically using open-source image processing libraries (e.g., OpenCV) to analyze the floor plans and identify landmarks within the building, such as elevators, stairs, and shops. 【0501】 Next, the server uses the analyzed data to calculate the optimal route to the user's destination. Route calculations utilize route-finding algorithms such as Dijkstra's algorithm, and the generated route information is sent back to the terminal. 【0502】 The terminal guides the user with received route information via voice or text message. Thanks to its built-in speech synthesis engine and multilingual capabilities, the terminal can provide clear directions even to foreign tourists. For example, it might give specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." 【0503】 Furthermore, if a user heads in the wrong direction within the facility, the terminal uses its camera to determine their current location in real time, and the server can automatically reroute them to guide them back to the correct path. This provides users with a stress-free travel experience. This system enables highly accurate, multilingual navigation services while keeping facility infrastructure development costs down. 【0504】 Example prompt: "Generate a prompt for a shopping mall navigation system. Provide an example of a navigation message used when a user is looking for a specific store." 【0505】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0506】 Step 1: 【0507】 The device determines the user's current location using Wi-Fi signal strength and cellular base station information. The input is the radio signals present around the user, and these signals are analyzed to calculate the current location. The device also uses GPS data as an auxiliary tool to determine the precise location. The output is the user's coordinate information. 【0508】 Step 2: 【0509】 The terminal sends the location information of the identified user to the server. The input is location coordinate data, which is packaged and encrypted for transmission to the server over the internet. The output is the location data packet received by the server. 【0510】 Step 3: 【0511】 The server retrieves the latest floor plans of the relevant buildings through its information network based on the received location information. The input is the user's current location information, and based on this, it searches for floor plans in cloud databases and online repositories. The output is a floor plan file stored in memory for analysis. 【0512】 Step 4: 【0513】 The server analyzes the acquired floor plan using image analysis technology. The input is a floor plan file, and open-source image processing libraries (e.g., OpenCV) are used for processing. Through analysis, landmarks such as elevators, stairs, and shops are identified, and their coordinates are extracted. The output is analyzed data containing the location information of the landmarks. 【0514】 Step 5: 【0515】 The server calculates the optimal route to the user's destination based on the analyzed data. The input consists of analyzed landmark data and the user's destination information, and the shortest route is generated using Dijkstra's algorithm. The output is the route information sent to the terminal. 【0516】 Step 6: 【0517】 The terminal provides the user with route information received from the server. The input is route information provided by the server, which is used by a speech synthesis engine to generate voice guidance, while simultaneously displaying the guidance in text format on the screen. The output is voice and visual directions for the user. 【0518】 Step 7: 【0519】 If the user heads in the wrong direction, the device uses camera images to re-determine their current location in real time. The input is the image acquired by the device's camera, which is then analyzed to reconfirm landmarks within the facility. If necessary, new location information is sent to the server to request a route rerouting. The output is re-guidance based on the updated route information. 【0520】 (Application Example 1) 【0521】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0522】 In commercial and public facilities, accurate location information and clear route guidance are essential for users to efficiently reach their destinations. Furthermore, a guidance system that supports multiple languages ​​and meets the diverse needs of users is necessary. However, conventional systems often lack real-time location tracking, visually easy-to-understand navigation, and support, especially for users with visual impairments. Solving these problems and improving user convenience and safety is crucial. 【0523】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0524】 In this invention, the server includes means for acquiring location information to determine the user's current location within the facility, means for acquiring a floor map of the facility from the internet, means for analyzing the acquired floor map and generating a route to the destination, means for providing guidance to the user based on the generated route information, and means for augmented reality display that visually supports navigation in a real-world environment. This makes it possible to provide efficient movement routes within the facility and to provide users with visually easy-to-understand guidance, thereby enabling comfortable facility use and accommodating international users. 【0525】 "Within the facility" refers to the grounds of a specific commercial or public facility, including the space in which users move around. 【0526】 "Users" refers to individuals who visit a facility and utilize its information system. 【0527】 "Current location" refers to information indicating where the user is located within the facility, specifically on a particular floor or area. 【0528】 "Location information acquisition means" refers to a function that uses Wi-Fi signal strength or mobile phone base station information to determine the user's current location. 【0529】 A "floor map" is a diagram that shows the structure of a facility and the layout of each store and piece of equipment. 【0530】 "Analysis means" refers to technology that identifies landmarks and structures within a facility based on acquired floor maps and derives the optimal route to the destination. 【0531】 A "route generation means" is a function that constructs the optimal travel route to the user's destination based on the analyzed information. 【0532】 "Guidance means" refers to the process of instructing users on how to travel via voice or text based on a generated route. 【0533】 "Camera images" refer to images taken by users using their mobile devices within the facility. 【0534】 "Route guidance update means" refers to a function that reconfirms the current location in real time from camera images, etc., and corrects the guided route as needed. 【0535】 "Augmented reality display means" refers to technology that supports navigation by integrating elements of the real world with digital information by overlaying virtual objects onto the user's field of vision. 【0536】 The system for implementing this invention identifies the user's location in real time within commercial and public facilities and optimizes guidance to their destination. 【0537】 This system is primarily built around servers, mobile devices (terminals), and cloud services via the internet. The servers are equipped with software for analyzing location information and processing floor maps, and can utilize services from AWS and Google Cloud Platform. 【0538】 The device is the user's smartphone, running on iOS or Android platforms. This device incorporates software for acquiring location information (Core Location or Location API) and ARKit or ARCore for displaying augmented reality. This software determines the user's current location using Wi-Fi signal strength and cellular base station information. It also uses a camera to acquire images of the facility and transmits them to a server, enabling real-time location tracking and route guidance updates. 【0539】 The user launches the smartphone app and searches for a destination. For example, if the user wants to go to a specific store within a shopping mall, they can prompt the app with "Please find the cafe on the 3rd floor." In this case, the server calculates the optimal route from the floor map it has acquired and provides guidance to the device in real time. The guidance is provided using visually easy-to-understand augmented reality, supporting the user's comfortable movement within the facility. 【0540】 As a result, users can reach their destinations without stress, and multilingual support makes it possible to accommodate international users as well. 【0541】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0542】 Step 1: 【0543】 The user launches the smartphone app and sets a destination. 【0544】 Input: The user enters the prompt message "Please find the cafe on the 3rd floor." into the app. 【0545】 Output: Destination information set in the app is generated. 【0546】 Based on this information, the device prepares to send a request to the server. 【0547】 Step 2: 【0548】 The device obtains its current location. 【0549】 Input: The device obtains Wi-Fi signal strength and cell phone base station information. 【0550】 Output: Current location information is obtained. 【0551】 Using location information acquisition methods, the current location is determined in real time and transmitted to the server. 【0552】 Step 3: 【0553】 The server retrieves and analyzes the floor map. 【0554】 Input: The server receives the current location information sent from the terminal. 【0555】 Output: The results of landmark identification on the facility's floor map are obtained. 【0556】 The server retrieves floor maps from the internet and uses image analysis technology to identify elevators, shops, and other features. 【0557】 Step 4: 【0558】 The server generates the optimal route. 【0559】 Input: Analyzed floor map information and user destination information. 【0560】 Output: Optimal route information is generated. 【0561】 The server calculates the most efficient route to the user's destination based on landmark locations and facility structures. 【0562】 Step 5: 【0563】 The terminal provides route guidance to the user. 【0564】 Input: Optimal route information received from the server. 【0565】 Output: Visual guidance is provided to the user. 【0566】 The device utilizes augmented reality technology to project the user's travel route onto their smartphone. 【0567】 Step 6: 【0568】 The system monitors the user's location in real time and updates route guidance as needed. 【0569】 Input: User's camera image and latest location information. 【0570】 Output: Updated route guidance information is provided to the user. 【0571】 The device re-determines its current location from the camera image, resends it to the server, and reroutes the path. 【0572】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0573】 As an embodiment of this invention, we propose a system that provides emotion-conscious navigation to users in commercial and public facilities. This system is primarily composed of a server, terminals, and the user's mobile device, and further incorporates an emotion engine. 【0574】 First, the device determines the user's current location using Wi-Fi signal strength and cell tower information, and sends this information to the server. Based on the location information, the server retrieves the latest floor map of the relevant facility from the internet. 【0575】 The acquired floor map is analyzed by the server's image analysis technology, identifying landmarks such as elevators and shops. Based on this analysis information, the server generates the optimal route to the user's destination. 【0576】 The user's device provides directions based on routing information supplied by the server. These directions are delivered via voice and text, and are available in multiple languages ​​as needed. 【0577】 Furthermore, this system incorporates an emotion engine. The terminal uses the emotion engine to analyze the user's voice and camera images to identify the user's current emotional state. For example, if stress is detected from the tone of voice, the emotion engine can make the route guidance gentler or add encouraging messages. It also utilizes facial recognition technology; if facial expressions indicating fatigue or anxiety are detected, it will prompt the user to make route selection easier. 【0578】 For example, if a user who has gotten lost within the facility shows signs of anxiety, the terminal analyzes their facial expression, and the emotion engine provides simpler and easier-to-understand route guidance. For instance, it might provide detailed step-by-step instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0579】 This system, by combining emotion recognition with conventional navigation systems, is expected to improve user satisfaction and the user experience. This will allow facility operators to provide guidance to users with greater confidence, thereby increasing the overall efficiency and value of the facility. 【0580】 The following describes the processing flow. 【0581】 Step 1: 【0582】 The device uses Wi-Fi signal strength and cell tower information to determine the user's current location. This location information is then sent to the server. 【0583】 Step 2: 【0584】 The server retrieves the latest floor map of the relevant facility from the internet based on the received location information. 【0585】 Step 3: 【0586】 The server analyzes the acquired floor map using image analysis technology to identify landmarks such as elevators, stairs, and shops. This information is then used to calculate the route. 【0587】 Step 4: 【0588】 The server generates the optimal route to reach the destination entered by the user and sends that information to the terminal. 【0589】 Step 5: 【0590】 The terminal uses routing information provided by the server to give directions to the user via voice or text. The directions are provided in the user's preferred language. 【0591】 Step 6: 【0592】 The device collects the user's voice and camera images and analyzes them using an emotion engine. The user's emotional state is identified, and for example, anxiety or stress may be detected. 【0593】 Step 7: 【0594】 The emotion engine takes into account the detected user's emotions and adjusts the route guidance accordingly. For example, it might add gentler voice guidance or more detailed route explanations. 【0595】 Step 8: 【0596】 As users move around the facility, the terminal continuously tracks their current location in real time, and if necessary, the server reroutes them again and provides updated directions. 【0597】 Step 9: 【0598】 The server will collect user sentiment data and route data, which will be used for future marketing and facility optimization. 【0599】 (Example 2) 【0600】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0601】 Conventional facility guidance systems have the drawback of not considering the emotional state of users, resulting in insufficient improvements in user safety and satisfaction. Furthermore, inadequate multilingual support leads to problems with the accuracy and comprehension of guidance for users speaking different languages. Additionally, a lack of flexibility in adapting to changes in facility layout sometimes prevents the effective use of the latest map information. 【0602】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0603】 In this invention, the server includes means for determining the user's current location using the user's peripheral devices, means for acquiring a map of the target space from a public information network, means for analyzing the acquired map and generating a route to the destination, means for analyzing the user's emotional state based on their voice and video and adjusting the route guidance, and means for providing guidance in multiple languages ​​via voice and text. This enables flexible and reassuring guidance that responds to the user's emotional state, and multilingual support allows for accurate and easy-to-understand guidance even for users who speak different languages. Furthermore, by utilizing the latest map information, it is possible to quickly respond to changes in the facility layout and always provide optimal route guidance. 【0604】 "User's peripheral devices" refers to electronic devices such as personal information terminals owned or operated by the user, through which location information is acquired and guidance information is received. 【0605】 A "public information network" refers to an information network that is widely available to the general public, such as the internet, through which map data and related information are obtained. 【0606】 A "map of the target space" is information that shows the structure and layout of a specific facility or area, and serves as a basis for route guidance. 【0607】 "Emotional state" refers to information that indicates the user's psychological state, and is analyzed from voice tone and facial expressions. 【0608】 "Providing information in multiple languages" refers to offering users information translated into different languages, and signifies the ability to communicate guidance information in multiple languages. 【0609】 This invention is a system that provides emotion-aware navigation to users in commercial and public facilities. By combining a server, terminals, and user peripherals, and further utilizing an emotion analysis engine, it achieves more flexible and accurate navigation. 【0610】 The server receives data transmitted from the user's peripheral devices and determines their location. The hardware used here includes mobile devices such as smartphones and tablets, which utilize Wi-Fi signals and cellular base station information. As for software, a Geographic Information System (GIS) is used to analyze the location information. 【0611】 The server obtains the latest map data through public information networks. In this process, it uses map APIs and database technologies to collect landmark and route information within the facility. Then, it analyzes the acquired maps using image analysis technologies (e.g., open-source image processing libraries) to identify important indicators within the facility. 【0612】 Next, the user's device provides route information received from the server in both voice and text. The guidance is multilingual, and information can be translated into the user's specified language using a translation API. Specifically, if a user gets lost within the facility, the device will provide detailed instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0613】 Furthermore, the device performs emotion analysis based on the user's voice and camera images, providing guidance tailored to the user's emotional state. It utilizes an emotion analysis engine and AI models to analyze voice tone and facial expressions. Based on these results, it adjusts the tone of the guidance and adds encouraging messages as needed. An example of a prompt to be input into the generating AI model is, "Consider the user's current emotional state and generate calm and detailed route guidance." 【0614】 This invention makes it possible to provide users within a facility with real-time, emotion-responsive guidance, offering a more comfortable and stress-free travel experience. 【0615】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0616】 Step 1: 【0617】 The device determines the user's current location. It uses Wi-Fi signal strength and information from cellular base stations as input. Using this data, it executes a location-determining algorithm (such as triangulation) within the device and outputs the current location coordinates. This output information is sent to the server, allowing the process to proceed to the next step. 【0618】 Step 2: 【0619】 The server retrieves the latest map data for the target facility from the public information network based on the received location information. The input includes the user's location information and the facility identifier. Using this information, the server calls a map API to obtain the latest map data, converts it to an internal data format for analysis, and outputs it. This data is used in the next analysis step. 【0620】 Step 3: 【0621】 The server analyzes the acquired map data using image analysis technology. It receives map data as input and recognizes landmarks using image analysis software (such as OpenCV). For data processing, it extracts the coordinates of landmarks from the pixel data and outputs them as landmark information. This output data is used for route generation. 【0622】 Step 4: 【0623】 The server generates the optimal route to the user's destination based on the analyzed landmark information. It uses landmark information and the user's destination information as input. Route calculation is performed using Dijkstra's algorithm or the A algorithm, and route information is output. The output route information is provided to the user's terminal as route guidance. 【0624】 Step 5: 【0625】 The terminal provides users with voice and text guidance based on route information received from the server. Route information is used as input, and based on this, a speech synthesis engine and text display function are used to output guidance information in multiple languages. This allows users to easily reach their destinations within the facility. 【0626】 Step 6: 【0627】 The device analyzes the user's emotional state using their voice and camera images. It takes voice and video data as input and performs analysis using an emotion analysis engine (for example, IBM's emotion analysis API). As a result of the data calculation, it outputs an emotion score, and adjusts the tone and messages of the guidance based on this score. 【0628】 Step 7: 【0629】 The device provides guidance information to the user based on the results of an analysis of their emotional state. It takes an emotional score as input, which is then fed into an AI model that generates prompts and adjusts the guidance message accordingly. For example, it might output guidance in a calm tone to alleviate the user's anxiety. 【0630】 (Application Example 2) 【0631】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0632】 Traditional navigation systems have the function of identifying a user's current location and providing a route, but they do not take into account the user's emotional state, which can lead to frustration and stress for some users. In particular, in large facilities or crowded environments, users are more likely to get lost and become anxious. This, in turn, can lead to a decline in the user experience at the facility. 【0633】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0634】 In this invention, the server includes means for acquiring a floor map of a facility based on location information, means for analyzing the user's emotional state using emotion analysis means, and means for adjusting the content of route guidance based on emotions. This enables flexible and appropriate route guidance tailored to the user's emotional state. 【0635】 "Location information acquisition means" refers to methods and technologies for determining the current location of a user within a facility. 【0636】 A "floor map" is a detailed map of each level within a building or facility. 【0637】 "Analysis means" refers to techniques or methods for extracting information based on acquired data and performing evaluations or judgments. 【0638】 "Route guidance" refers to the act of providing instructions and information to help users follow the optimal route to their destination. 【0639】 "Emotional analysis means" refers to a technology or method for detecting and evaluating a user's emotional state. 【0640】 A "generative AI model" is an artificial intelligence algorithm that generates new information or text based on data. 【0641】 A "prompt message" is a command or input sentence given to an AI model to obtain a specific output. 【0642】 The system implementing this invention consists of a server, a terminal, and a user's mobile device. First, the terminal uses Wi-Fi signals and cell tower information to determine the user's current location. Once the location information is obtained, the server uses that information to retrieve the latest floor map of the facility from the internet. 【0643】 The acquired floor map is analyzed using image analysis technology on the server to identify landmarks within the facility and information related to destinations. Image analysis software such as TensorFlow is used for this analysis. Based on the analysis results, the server generates the optimal route and sends the generated route information to the terminal. 【0644】 Furthermore, the device uses an emotion analysis module to analyze the user's facial expressions and voice data to identify the user's emotional state. This uses emotion analysis software such as DeepFace or the Emotion Recognition API. Once the results of the emotion analysis are obtained, the server uses the generated AI model to create appropriate guidance text based on the user's emotions. 【0645】 This guidance message is provided to the user's device in multilingual format, either as audio or text. For example, if the user indicates fatigue, the server will generate a prompt such as, "You must be tired. There's a cafe nearby; would you like to take a break?" 【0646】 This system enables flexible and comfortable guidance that responds to the user's emotions, improving the user experience at the facility. Examples of prompt messages are as follows: 【0647】 Example of a prompt: 【0648】 Visitor's current emotion: Fatigue 【0649】 Visitor's current location: 200m from the shopping mall entrance 【0650】 Destination: Cafe 【0651】 Generated message: "Thank you for your hard work. Why don't you take a short break here?" 【0652】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0653】 Step 1: 【0654】 The device acquires Wi-Fi signals and cellular base station information to determine the user's location. Based on this signal information, it calculates location information to determine the user's current location. The input is Wi-Fi signal strength and cellular base station information, and the output is the user's current location information. Specifically, the device continuously scans for signals and calculates the location emitting the strongest signal. 【0655】 Step 2: 【0656】 The server retrieves the latest floor map of the relevant facility from the internet based on the current location information received from the terminal. The input is the user's current location information, and the output is floor map data. Specifically, the server calls an API to the facility management database and requests the latest floor map corresponding to the location. 【0657】 Step 3: 【0658】 When the server receives a floor map, it analyzes it using image analysis techniques. It recognizes landmarks and route information within the floor map and generates the optimal route to the destination. The input is floor map data, and the output is landmark information and optimal route information. Specifically, the server uses TensorFlow to recognize landmarks and applies a route calculation algorithm. 【0659】 Step 4: 【0660】 The device uses a camera and microphone to collect image and audio data in order to analyze the user's emotions. The input is camera images and audio data, and the output is analyzed emotion data. Specifically, the device calls DeepFace or Emotion Recognition APIs to analyze emotions in real time. 【0661】 Step 5: 【0662】 The server generates guidance text using a generative AI model based on emotion data and route information. The input is emotion data and optimal route information, and the output is a prompt text corresponding to the emotion. Specifically, the server passes the input data to a generative AI model such as OpenAI's GPT-3 and generates appropriate text. 【0663】 Step 6: 【0664】 The terminal receives case messages sent from the server and provides information to the user in either voice or text. The input is a generated prompt message, and the output is guidance information for the user. Specifically, the terminal uses Amazon Polly to convert the prompt message into speech and plays it through the speaker. 【0665】 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. 【0666】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0667】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0668】 [Fourth Embodiment] 【0669】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0670】 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. 【0671】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0672】 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. 【0673】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0674】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0675】 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. 【0676】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0677】 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. 【0678】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0679】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0680】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0681】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0682】 One possible embodiment of this invention is a system for providing efficient directions to users in commercial or public facilities. This system consists of a server, terminals, and a user's portable device. 【0683】 First, the device determines the user's current location using Wi-Fi signal strength and cell phone base station information. The device then sends this location information to the server. 【0684】 Based on the received current location information, the server searches the internet for the floor map of the relevant facility and retrieves the latest floor map. This floor map is then analyzed using the server's image analysis technology. Specifically, this includes a procedure to identify important landmarks such as elevators, stairwells, and shops, and to pinpoint their locations. 【0685】 Next, the server generates the optimal route to the user's destination based on the analyzed information. This route is calculated while taking into account the location of landmarks and the structure of facilities, and is designed to provide efficient navigation. 【0686】 The generated route information is transmitted to the user via the terminal. The terminal delivers route guidance to the user via voice or text message, and its multilingual support enables guidance for foreign tourists as well. Furthermore, if the user is using a camera within the facility, the terminal determines the user's current location in real time from the camera image and reroutes the route as needed to continue guidance. 【0687】 As a concrete example, consider a user visiting a shopping mall and looking for a specific store. The terminal detects the user's location, and the server uses that information to obtain and analyze a floor map. The optimal route to the destination, generated by the server, is communicated to the user through the terminal as specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." If the user mistakenly goes in a different direction, the server reroutes them and quickly guides them back to the correct path. 【0688】 This system will enable highly accurate, multilingual directions to users while keeping infrastructure development costs down, and is expected to improve user satisfaction. 【0689】 The following describes the processing flow. 【0690】 Step 1: 【0691】 The device uses Wi-Fi signal strength and cell tower location information to determine the user's current location. This information is then sent to the server. 【0692】 Step 2: 【0693】 The server searches the internet based on the received location information and retrieves the floor map of the relevant facility. The most recent floor map is selected first. 【0694】 Step 3: 【0695】 The server analyzes the acquired floor map using image analysis technology. Specifically, it identifies important landmarks such as elevators, stairs, and store names and locations, and extracts their location information. 【0696】 Step 4: 【0697】 The server generates the optimal route from an analyzed floor map based on the user's destination information. The route is calculated taking into account the facility's structure and the distances between specific landmarks. 【0698】 Step 5: 【0699】 The terminal provides voice or text guidance to the user based on route information received from the server. Multilingual support allows guidance to be provided in the user's preferred language. 【0700】 Step 6: 【0701】 The device analyzes the user's camera image in real time to determine their current location. Based on this information, the server updates the route guidance and reroutes as needed. 【0702】 Step 7: 【0703】 The server collects behavioral data about users' movements and places they visit, and provides personalized information. This is used to optimize marketing and advertising delivery. 【0704】 (Example 1) 【0705】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0706】 There is a lack of navigation systems in commercial and public facilities that allow users to quickly and accurately find their destinations. In particular, there is a demand for systems that support multiple languages ​​and allow for real-time route correction. 【0707】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0708】 In this invention, the server includes means for acquiring radio wave strength information and location information to determine the user's current location, means for acquiring a floor plan of a building from an information network, and processing means for analyzing the floor plan and generating a route to the destination. This makes it possible to provide users with fast, accurate, and multilingual directions in real time. 【0709】 "Radio wave strength information" is an indicator of signal strength in wireless communication and is data used to determine location information. 【0710】 "Location information acquisition means" refers to a device or method for determining the user's current location, and is a technology that measures location using radio signals or satellite data. 【0711】 An "information network" is a network system used to acquire and transmit information via the internet or other means. 【0712】 A "building floor plan" is a diagram that shows the structure inside a building and is a document used to visually understand the internal layout of a facility. 【0713】 A "processing means" is a device or method for performing specified processing based on specific data, and is often implemented as a computer program. 【0714】 A "landmark" refers to a landmark or important point used to identify a specific location, and is a criterion for recognizing a particular place, either physically or on a map. 【0715】 This invention is a system for providing efficient directions to users in commercial and public facilities. The system consists of a server, terminals, and a portable device carried by the user. 【0716】 First, a terminal installed in the user's mobile device determines the user's current location using Wi-Fi signal strength and cellular base station information. This location information is captured in real time, and the terminal uses the internet as a means of communication to send this information to a server. 【0717】 Next, the server searches the network for floor plans of the relevant building based on the received location information and retrieves the latest one. The server implements image analysis technology, specifically using open-source image processing libraries (e.g., OpenCV) to analyze the floor plans and identify landmarks within the building, such as elevators, stairs, and shops. 【0718】 Next, the server uses the analyzed data to calculate the optimal route to the user's destination. Route calculations utilize route-finding algorithms such as Dijkstra's algorithm, and the generated route information is sent back to the terminal. 【0719】 The terminal guides the user with received route information via voice or text message. Thanks to its built-in speech synthesis engine and multilingual capabilities, the terminal can provide clear directions even to foreign tourists. For example, it might give specific instructions such as, "Go straight to the escalator, go up to the 3rd floor, and then turn right." 【0720】 Furthermore, if a user heads in the wrong direction within the facility, the terminal uses its camera to determine their current location in real time, and the server can automatically reroute them to guide them back to the correct path. This provides users with a stress-free travel experience. This system enables highly accurate, multilingual navigation services while keeping facility infrastructure development costs down. 【0721】 Example prompt: "Generate a prompt for a shopping mall navigation system. Provide an example of a navigation message used when a user is looking for a specific store." 【0722】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0723】 Step 1: 【0724】 The device determines the user's current location using Wi-Fi signal strength and cellular base station information. The input is the radio signals present around the user, and these signals are analyzed to calculate the current location. The device also uses GPS data as an auxiliary tool to determine the precise location. The output is the user's coordinate information. 【0725】 Step 2: 【0726】 The terminal sends the location information of the identified user to the server. The input is location coordinate data, which is packaged and encrypted for transmission to the server over the internet. The output is the location data packet received by the server. 【0727】 Step 3: 【0728】 The server retrieves the latest floor plans of the relevant buildings through its information network based on the received location information. The input is the user's current location information, and based on this, it searches for floor plans in cloud databases and online repositories. The output is a floor plan file stored in memory for analysis. 【0729】 Step 4: 【0730】 The server analyzes the acquired floor plan using image analysis technology. The input is a floor plan file, and open-source image processing libraries (e.g., OpenCV) are used for processing. Through analysis, landmarks such as elevators, stairs, and shops are identified, and their coordinates are extracted. The output is analyzed data containing the location information of the landmarks. 【0731】 Step 5: 【0732】 The server calculates the optimal route to the user's destination based on the analyzed data. The input consists of analyzed landmark data and the user's destination information, and the shortest route is generated using Dijkstra's algorithm. The output is the route information sent to the terminal. 【0733】 Step 6: 【0734】 The terminal provides the user with route information received from the server. The input is route information provided by the server, which is used by a speech synthesis engine to generate voice guidance, while simultaneously displaying the guidance in text format on the screen. The output is voice and visual directions for the user. 【0735】 Step 7: 【0736】 If the user heads in the wrong direction, the device uses camera images to re-determine their current location in real time. The input is the image acquired by the device's camera, which is then analyzed to reconfirm landmarks within the facility. If necessary, new location information is sent to the server to request a route rerouting. The output is re-guidance based on the updated route information. 【0737】 (Application Example 1) 【0738】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0739】 In commercial and public facilities, accurate location information and clear route guidance are essential for users to efficiently reach their destinations. Furthermore, a guidance system that supports multiple languages ​​and meets the diverse needs of users is necessary. However, conventional systems often lack real-time location tracking, visually easy-to-understand navigation, and support, especially for users with visual impairments. Solving these problems and improving user convenience and safety is crucial. 【0740】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0741】 In this invention, the server includes means for acquiring location information to determine the user's current location within the facility, means for acquiring a floor map of the facility from the internet, means for analyzing the acquired floor map and generating a route to the destination, means for providing guidance to the user based on the generated route information, and means for augmented reality display that visually supports navigation in a real-world environment. This makes it possible to provide efficient movement routes within the facility and to provide users with visually easy-to-understand guidance, thereby enabling comfortable facility use and accommodating international users. 【0742】 "Within the facility" refers to the grounds of a specific commercial or public facility, including the space in which users move around. 【0743】 "Users" refers to individuals who visit a facility and utilize its information system. 【0744】 "Current location" refers to information indicating where the user is located within the facility, specifically on a particular floor or area. 【0745】 "Location information acquisition means" refers to a function that uses Wi-Fi signal strength or mobile phone base station information to determine the user's current location. 【0746】 A "floor map" is a diagram that shows the structure of a facility and the layout of each store and piece of equipment. 【0747】 "Analysis means" refers to technology that identifies landmarks and structures within a facility based on acquired floor maps and derives the optimal route to the destination. 【0748】 A "route generation means" is a function that constructs the optimal travel route to the user's destination based on the analyzed information. 【0749】 "Guidance means" refers to the process of instructing users on how to travel via voice or text based on a generated route. 【0750】 "Camera images" refer to images taken by users using their mobile devices within the facility. 【0751】 "Route guidance update means" refers to a function that reconfirms the current location in real time from camera images, etc., and corrects the guided route as needed. 【0752】 "Augmented reality display means" refers to technology that supports navigation by integrating elements of the real world with digital information by overlaying virtual objects onto the user's field of vision. 【0753】 The system for implementing this invention identifies the user's location in real time within commercial and public facilities and optimizes guidance to their destination. 【0754】 This system is primarily built around servers, mobile devices (terminals), and cloud services via the internet. The servers are equipped with software for analyzing location information and processing floor maps, and can utilize services from AWS and Google Cloud Platform. 【0755】 The device is the user's smartphone, running on iOS or Android platforms. This device incorporates software for acquiring location information (Core Location or Location API) and ARKit or ARCore for displaying augmented reality. This software determines the user's current location using Wi-Fi signal strength and cellular base station information. It also uses a camera to acquire images of the facility and transmits them to a server, enabling real-time location tracking and route guidance updates. 【0756】 The user launches the smartphone app and searches for a destination. For example, if the user wants to go to a specific store within a shopping mall, they can prompt the app with "Please find the cafe on the 3rd floor." In this case, the server calculates the optimal route from the floor map it has acquired and provides guidance to the device in real time. The guidance is provided using visually easy-to-understand augmented reality, supporting the user's comfortable movement within the facility. 【0757】 As a result, users can reach their destinations without stress, and multilingual support makes it possible to accommodate international users as well. 【0758】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0759】 Step 1: 【0760】 The user launches the smartphone app and sets a destination. 【0761】 Input: The user enters the prompt message "Please find the cafe on the 3rd floor." into the app. 【0762】 Output: Destination information set in the app is generated. 【0763】 Based on this information, the device prepares to send a request to the server. 【0764】 Step 2: 【0765】 The device obtains its current location. 【0766】 Input: The device obtains Wi-Fi signal strength and cell phone base station information. 【0767】 Output: Current location information is obtained. 【0768】 Using location information acquisition methods, the current location is determined in real time and transmitted to the server. 【0769】 Step 3: 【0770】 The server retrieves and analyzes the floor map. 【0771】 Input: The server receives the current location information sent from the terminal. 【0772】 Output: The results of landmark identification on the facility's floor map are obtained. 【0773】 The server retrieves floor maps from the internet and uses image analysis technology to identify elevators, shops, and other features. 【0774】 Step 4: 【0775】 The server generates the optimal route. 【0776】 Input: Analyzed floor map information and user destination information. 【0777】 Output: Optimal route information is generated. 【0778】 The server calculates the most efficient route to the user's destination based on landmark locations and facility structures. 【0779】 Step 5: 【0780】 The terminal provides route guidance to the user. 【0781】 Input: Optimal route information received from the server. 【0782】 Output: Visual guidance is provided to the user. 【0783】 The device utilizes augmented reality technology to project the user's travel route onto their smartphone. 【0784】 Step 6: 【0785】 The system monitors the user's location in real time and updates route guidance as needed. 【0786】 Input: User's camera image and latest location information. 【0787】 Output: Updated route guidance information is provided to the user. 【0788】 The device re-determines its current location from the camera image, resends it to the server, and reroutes the path. 【0789】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0790】 As an embodiment of this invention, we propose a system that provides emotion-conscious navigation to users in commercial and public facilities. This system is primarily composed of a server, terminals, and the user's mobile device, and further incorporates an emotion engine. 【0791】 First, the device determines the user's current location using Wi-Fi signal strength and cell tower information, and sends this information to the server. Based on the location information, the server retrieves the latest floor map of the relevant facility from the internet. 【0792】 The acquired floor map is analyzed by the server's image analysis technology, identifying landmarks such as elevators and shops. Based on this analysis information, the server generates the optimal route to the user's destination. 【0793】 The user's device provides directions based on routing information supplied by the server. These directions are delivered via voice and text, and are available in multiple languages ​​as needed. 【0794】 Furthermore, this system incorporates an emotion engine. The terminal uses the emotion engine to analyze the user's voice and camera images to identify the user's current emotional state. For example, if stress is detected from the tone of voice, the emotion engine can make the route guidance gentler or add encouraging messages. It also utilizes facial recognition technology; if facial expressions indicating fatigue or anxiety are detected, it will prompt the user to make route selection easier. 【0795】 For example, if a user who has gotten lost within the facility shows signs of anxiety, the terminal analyzes their facial expression, and the emotion engine provides simpler and easier-to-understand route guidance. For instance, it might provide detailed step-by-step instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0796】 This system, by combining emotion recognition with conventional navigation systems, is expected to improve user satisfaction and the user experience. This will allow facility operators to provide guidance to users with greater confidence, thereby increasing the overall efficiency and value of the facility. 【0797】 The following describes the processing flow. 【0798】 Step 1: 【0799】 The device uses Wi-Fi signal strength and cell tower information to determine the user's current location. This location information is then sent to the server. 【0800】 Step 2: 【0801】 The server retrieves the latest floor map of the relevant facility from the internet based on the received location information. 【0802】 Step 3: 【0803】 The server analyzes the acquired floor map using image analysis technology to identify landmarks such as elevators, stairs, and shops. This information is then used to calculate the route. 【0804】 Step 4: 【0805】 The server generates the optimal route to reach the destination entered by the user and sends that information to the terminal. 【0806】 Step 5: 【0807】 The terminal uses routing information provided by the server to give directions to the user via voice or text. The directions are provided in the user's preferred language. 【0808】 Step 6: 【0809】 The device collects the user's voice and camera images and analyzes them using an emotion engine. The user's emotional state is identified, and for example, anxiety or stress may be detected. 【0810】 Step 7: 【0811】 The emotion engine takes into account the detected user's emotions and adjusts the route guidance accordingly. For example, it might add gentler voice guidance or more detailed route explanations. 【0812】 Step 8: 【0813】 As users move around the facility, the terminal continuously tracks their current location in real time, and if necessary, the server reroutes them again and provides updated directions. 【0814】 Step 9: 【0815】 The server will collect user sentiment data and route data, which will be used for future marketing and facility optimization. 【0816】 (Example 2) 【0817】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0818】 Conventional facility guidance systems have the drawback of not considering the emotional state of users, resulting in insufficient improvements in user safety and satisfaction. Furthermore, inadequate multilingual support leads to problems with the accuracy and comprehension of guidance for users speaking different languages. Additionally, a lack of flexibility in adapting to changes in facility layout sometimes prevents the effective use of the latest map information. 【0819】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0820】 In this invention, the server includes means for determining the user's current location using the user's peripheral devices, means for acquiring a map of the target space from a public information network, means for analyzing the acquired map and generating a route to the destination, means for analyzing the user's emotional state based on their voice and video and adjusting the route guidance, and means for providing guidance in multiple languages ​​via voice and text. This enables flexible and reassuring guidance that responds to the user's emotional state, and multilingual support allows for accurate and easy-to-understand guidance even for users who speak different languages. Furthermore, by utilizing the latest map information, it is possible to quickly respond to changes in the facility layout and always provide optimal route guidance. 【0821】 "User's peripheral devices" refers to electronic devices such as personal information terminals owned or operated by the user, through which location information is acquired and guidance information is received. 【0822】 A "public information network" refers to an information network that is widely available to the general public, such as the internet, through which map data and related information are obtained. 【0823】 A "map of the target space" is information that shows the structure and layout of a specific facility or area, and serves as a basis for route guidance. 【0824】 "Emotional state" refers to information that indicates the user's psychological state, and is analyzed from voice tone and facial expressions. 【0825】 "Providing information in multiple languages" refers to offering users information translated into different languages, and signifies the ability to communicate guidance information in multiple languages. 【0826】 This invention is a system that provides emotion-aware navigation to users in commercial and public facilities. By combining a server, terminals, and user peripherals, and further utilizing an emotion analysis engine, it achieves more flexible and accurate navigation. 【0827】 The server receives data transmitted from the user's peripheral devices and determines their location. The hardware used here includes mobile devices such as smartphones and tablets, which utilize Wi-Fi signals and cellular base station information. As for software, a Geographic Information System (GIS) is used to analyze the location information. 【0828】 The server obtains the latest map data through public information networks. In this process, it uses map APIs and database technologies to collect landmark and route information within the facility. Then, it analyzes the acquired maps using image analysis technologies (e.g., open-source image processing libraries) to identify important indicators within the facility. 【0829】 Next, the user's device provides route information received from the server in both voice and text. The guidance is multilingual, and information can be translated into the user's specified language using a translation API. Specifically, if a user gets lost within the facility, the device will provide detailed instructions such as, "Go straight, turn left, and stop when you reach the elevator." 【0830】 Furthermore, the device performs emotion analysis based on the user's voice and camera images, providing guidance tailored to the user's emotional state. It utilizes an emotion analysis engine and AI models to analyze voice tone and facial expressions. Based on these results, it adjusts the tone of the guidance and adds encouraging messages as needed. An example of a prompt to be input into the generating AI model is, "Consider the user's current emotional state and generate calm and detailed route guidance." 【0831】 This invention makes it possible to provide users within a facility with real-time, emotion-responsive guidance, offering a more comfortable and stress-free travel experience. 【0832】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0833】 Step 1: 【0834】 The device determines the user's current location. It uses Wi-Fi signal strength and information from cellular base stations as input. Using this data, it executes a location-determining algorithm (such as triangulation) within the device and outputs the current location coordinates. This output information is sent to the server, allowing the process to proceed to the next step. 【0835】 Step 2: 【0836】 The server retrieves the latest map data for the target facility from the public information network based on the received location information. The input includes the user's location information and the facility identifier. Using this information, the server calls a map API to obtain the latest map data, converts it to an internal data format for analysis, and outputs it. This data is used in the next analysis step. 【0837】 Step 3: 【0838】 The server analyzes the acquired map data using image analysis technology. It receives map data as input and recognizes landmarks using image analysis software (such as OpenCV). For data processing, it extracts the coordinates of landmarks from the pixel data and outputs them as landmark information. This output data is used for route generation. 【0839】 Step 4: 【0840】 The server generates the optimal route to the user's destination based on the analyzed landmark information. It uses landmark information and the user's destination information as input. Route calculation is performed using Dijkstra's algorithm or the A algorithm, and route information is output. The output route information is provided to the user's terminal as route guidance. 【0841】 Step 5: 【0842】 The terminal provides users with voice and text guidance based on route information received from the server. Route information is used as input, and based on this, a speech synthesis engine and text display function are used to output guidance information in multiple languages. This allows users to easily reach their destinations within the facility. 【0843】 Step 6: 【0844】 The device analyzes the user's emotional state using their voice and camera images. It takes voice and video data as input and performs analysis using an emotion analysis engine (for example, IBM's emotion analysis API). As a result of the data calculation, it outputs an emotion score, and adjusts the tone and messages of the guidance based on this score. 【0845】 Step 7: 【0846】 The device provides guidance information to the user based on the results of an analysis of their emotional state. It takes an emotional score as input, which is then fed into an AI model that generates prompts and adjusts the guidance message accordingly. For example, it might output guidance in a calm tone to alleviate the user's anxiety. 【0847】 (Application Example 2) 【0848】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0849】 Traditional navigation systems have the function of identifying a user's current location and providing a route, but they do not take into account the user's emotional state, which can lead to frustration and stress for some users. In particular, in large facilities or crowded environments, users are more likely to get lost and become anxious. This, in turn, can lead to a decline in the user experience at the facility. 【0850】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0851】 In this invention, the server includes means for acquiring a floor map of a facility based on location information, means for analyzing the user's emotional state using emotion analysis means, and means for adjusting the content of route guidance based on emotions. This enables flexible and appropriate route guidance tailored to the user's emotional state. 【0852】 "Location information acquisition means" refers to methods and technologies for determining the current location of a user within a facility. 【0853】 A "floor map" is a detailed map of each level within a building or facility. 【0854】 "Analysis means" refers to techniques or methods for extracting information based on acquired data and performing evaluations or judgments. 【0855】 "Route guidance" refers to the act of providing instructions and information to help users follow the optimal route to their destination. 【0856】 "Emotional analysis means" refers to a technology or method for detecting and evaluating a user's emotional state. 【0857】 A "generative AI model" is an artificial intelligence algorithm that generates new information or text based on data. 【0858】 A "prompt message" is a command or input sentence given to an AI model to obtain a specific output. 【0859】 The system implementing this invention consists of a server, a terminal, and a user's mobile device. First, the terminal uses Wi-Fi signals and cell tower information to determine the user's current location. Once the location information is obtained, the server uses that information to retrieve the latest floor map of the facility from the internet. 【0860】 The acquired floor map is analyzed using image analysis technology on the server to identify landmarks within the facility and information related to destinations. Image analysis software such as TensorFlow is used for this analysis. Based on the analysis results, the server generates the optimal route and sends the generated route information to the terminal. 【0861】 Furthermore, the device uses an emotion analysis module to analyze the user's facial expressions and voice data to identify the user's emotional state. This uses emotion analysis software such as DeepFace or the Emotion Recognition API. Once the results of the emotion analysis are obtained, the server uses the generated AI model to create appropriate guidance text based on the user's emotions. 【0862】 This guidance message is provided to the user's device in multilingual format, either as audio or text. For example, if the user indicates fatigue, the server will generate a prompt such as, "You must be tired. There's a cafe nearby; would you like to take a break?" 【0863】 This system enables flexible and comfortable guidance that responds to the user's emotions, improving the user experience at the facility. Examples of prompt messages are as follows: 【0864】 Example of a prompt: 【0865】 Visitor's current emotion: Fatigue 【0866】 Visitor's current location: 200m from the shopping mall entrance 【0867】 Destination: Cafe 【0868】 Generated message: "Thank you for your hard work. Why don't you take a short break here?" 【0869】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0870】 Step 1: 【0871】 The device acquires Wi-Fi signals and cellular base station information to determine the user's location. Based on this signal information, it calculates location information to determine the user's current location. The input is Wi-Fi signal strength and cellular base station information, and the output is the user's current location information. Specifically, the device continuously scans for signals and calculates the location emitting the strongest signal. 【0872】 Step 2: 【0873】 The server retrieves the latest floor map of the relevant facility from the internet based on the current location information received from the terminal. The input is the user's current location information, and the output is floor map data. Specifically, the server calls an API to the facility management database and requests the latest floor map corresponding to the location. 【0874】 Step 3: 【0875】 When the server receives a floor map, it analyzes it using image analysis techniques. It recognizes landmarks and route information within the floor map and generates the optimal route to the destination. The input is floor map data, and the output is landmark information and optimal route information. Specifically, the server uses TensorFlow to recognize landmarks and applies a route calculation algorithm. 【0876】 Step 4: 【0877】 The device uses a camera and microphone to collect image and audio data in order to analyze the user's emotions. The input is camera images and audio data, and the output is analyzed emotion data. Specifically, the device calls DeepFace or Emotion Recognition APIs to analyze emotions in real time. 【0878】 Step 5: 【0879】 The server generates guidance text using a generative AI model based on emotion data and route information. The input is emotion data and optimal route information, and the output is a prompt text corresponding to the emotion. Specifically, the server passes the input data to a generative AI model such as OpenAI's GPT-3 and generates appropriate text. 【0880】 Step 6: 【0881】 The terminal receives case messages sent from the server and provides information to the user in either voice or text. The input is a generated prompt message, and the output is guidance information for the user. Specifically, the terminal uses Amazon Polly to convert the prompt message into speech and plays it through the speaker. 【0882】 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. 【0883】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0884】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0885】 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. 【0886】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0887】 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. 【0888】 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. 【0889】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0890】 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." 【0891】 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. 【0892】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0893】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0894】 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. 【0895】 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. 【0896】 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. 【0897】 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 this memory. 【0898】 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. 【0899】 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. 【0900】 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. 【0901】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0902】 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. 【0903】 The following is further disclosed regarding the embodiments described above. 【0904】 (Claim 1) 【0905】 A means for acquiring location information to determine the current location of a user within the facility, 【0906】 A means for obtaining a floor map of a facility from the internet based on the aforementioned location information, 【0907】 A means for analyzing the acquired floor map and generating a route to the destination, 【0908】 A means of providing guidance to the user based on the generated route information, 【0909】 A means of determining the user's current location from their camera image and updating route guidance, 【0910】 A system that includes this. 【0911】 (Claim 2) 【0912】 The system according to claim 1, wherein the analysis means includes means for identifying landmarks in a floor map using image analysis technology. 【0913】 (Claim 3) 【0914】 The system according to claim 1, wherein the guidance means includes means for providing guidance to the user in multiple languages. 【0915】 "Example 1" 【0916】 (Claim 1) 【0917】 A means for obtaining radio wave strength information and location information to determine the user's current location, 【0918】 A means for obtaining a floor plan of a building from an information network based on the aforementioned location information, 【0919】 A processing means for analyzing the acquired floor plan and generating a route to the destination, 【0920】 A means of providing guidance to the user based on the generated route information, 【0921】 A processing means that identifies the user's current location from the image captured by the user's camera and updates the route guidance, 【0922】 A system that includes this. 【0923】 (Claim 2) 【0924】 The system according to claim 1, wherein the processing means has the function of identifying markers in a floor plan using image analysis technology. 【0925】 (Claim 3) 【0926】 The system according to claim 1, wherein the guidance unit has a function to provide instructions to the user in multiple languages. 【0927】 "Application Example 1" 【0928】 (Claim 1) 【0929】 A means for acquiring location information to determine the current location of a user within the facility, 【0930】 A means for obtaining a floor map of a facility from the internet based on the aforementioned location information, 【0931】 A means for analyzing the acquired floor map and generating a route to the destination, 【0932】 A means of providing guidance to the user based on the generated route information, 【0933】 A means of determining the user's current location from their camera image and updating route guidance, 【0934】 Augmented reality display means that visually assist navigation in a real-world environment, 【0935】 A system that includes this. 【0936】 (Claim 2) 【0937】 The system according to claim 1, wherein the analysis means includes means for identifying landmarks in a floor map using image analysis technology. 【0938】 (Claim 3) 【0939】 The system according to claim 1, wherein the guidance means includes means for providing guidance to the user in multiple languages. 【0940】 "Example 2 of combining an emotion engine" 【0941】 (Claim 1) 【0942】 A means of determining the current location using the user's peripheral devices, 【0943】 A means for obtaining a map of the target space from a public information network based on the aforementioned location information, 【0944】 A means for analyzing the acquired map and generating a route to the destination, 【0945】 A means of providing guidance to the user based on the generated route information, 【0946】 A means of analyzing the emotional state of the user based on their voice and video, and adjusting the route guidance accordingly. 【0947】 Means for providing guidance in multiple languages ​​via audio and text, 【0948】 A system that includes this. 【0949】 (Claim 2) 【0950】 The system according to claim 1, wherein the analysis means includes means for identifying indicators in a map using image analysis technology. 【0951】 (Claim 3) 【0952】 The system according to claim 1, wherein the means for analyzing the emotional state includes means for calculating an emotional score from voice tone and facial expression. 【0953】 "Application example 2 when combining with an emotional engine" 【0954】 (Claim 1) 【0955】 A means for acquiring location information to determine the current location of a user within the facility, 【0956】 A means for obtaining a floor map of a facility from the internet based on the aforementioned location information, 【0957】 A means for analyzing the acquired floor map and generating a route to the destination, 【0958】 A means of providing guidance to the user based on the generated route information, 【0959】 An emotion analysis tool for analyzing the emotional state of users, 【0960】 A means for adjusting the content of route guidance based on the results analyzed by the aforementioned emotion analysis means, 【0961】 A means of determining the user's current location from their camera image and updating route guidance, 【0962】 A system that includes this. 【0963】 (Claim 2) 【0964】 The system according to claim 1, wherein the analysis means includes means for identifying landmarks in a floor map using image analysis technology, and further includes means for generating emotionally appropriate guidance text using a generative AI model. 【0965】 (Claim 3) 【0966】 The system according to claim 1, wherein the guidance means includes means for providing guidance to the user in multiple languages, and generates prompt sentences according to the user's emotions and provides guidance accordingly. [Explanation of symbols] 【0967】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means for acquiring location information to determine the current location of a user within the facility, A means for obtaining a floor map of a facility from the internet based on the aforementioned location information, A means for analyzing the acquired floor map and generating a route to the destination, A means of providing guidance to the user based on the generated route information, A means of determining the user's current location from their camera image and updating route guidance, A system that includes this. [Claim 2] The system according to claim 1, wherein the analysis means includes means for identifying landmarks in a floor map using image analysis technology. [Claim 3] The system according to claim 1, wherein the guidance means includes means for providing guidance to the user in multiple languages.

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