system

Abstract

We provide the system. [Solution] A means for obtaining the current location information of travelers, A means of acquiring weather information for evaluating environmental conditions, A route guidance means for providing a safe travel route based on acquired location information and weather information, Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected, A geographic data analysis method for identifying locations that require maintenance and upkeep of travel routes, A means of providing tourist information to display information within public facilities in real time, 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 persona chatbot control method 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In conventional mountaineering activities, there are problems such as sudden weather changes and dangers due to terrain, and many mountaineers are in distress. This not only threatens the lives of mountaineers but also poses problems of huge time and cost for rescue operations. In addition, further dangers may arise due to deterioration of mountain paths and occurrence of obstacles, and means for identifying and solving these in advance have been demanded.

Means for Solving the Problems

[0005] This invention provides a route guidance system that ensures the safety of climbers by combining location information acquisition means and weather information acquisition means to grasp real-time location and environmental conditions, and guides them along the optimal and safest climbing route based on this information. Furthermore, it is equipped with an emergency response system that immediately notifies rescue organizations and provides appropriate rescue instructions to climbers in the event of an emergency, thereby enabling a rapid response to any danger during climbing. In addition, it is possible to improve the safety of climbing trails by predicting areas that require maintenance and servicing through geodata analysis means and promoting necessary maintenance.

[0006] "Location information acquisition means" refers to a technical device or process for accurately identifying a user's current location and transmitting that information to a database or other system.

[0007] "Mechanisms for acquiring weather information" refers to technologies for collecting weather conditions and predicted weather changes in the area around the current location in real time and providing them to the system.

[0008] A "route guidance system" is a means of showing the user the optimal and safest travel route based on acquired location information and weather information.

[0009] An "emergency response system" is a system that, in the event of an emergency, immediately notifies the relevant authorities of the user's location and provides appropriate countermeasures.

[0010] "Geodata analysis methods" are technologies that analyze topography and geographical information to identify anomalies in hiking trails and the surrounding environment, and to encourage necessary maintenance and upkeep. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3]This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [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, when an emotion engine is combined. [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]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0017] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc.

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention is a comprehensive support system for ensuring the safety of climbers, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, and means for geodata analysis.

[0033] First, the user enters their planned hiking route and dates using their device. The device's location information function activates, and the user's current location is constantly transmitted to the server. In addition, real-time weather data for the hiking area is obtained by the server using weather information acquisition methods.

[0034] Based on this data, the server uses route guidance to present the user's device with the most optimal and safe route. For example, if the weather suddenly changes, the server can recalculate the evacuation route based on the user's location and quickly notify the device of the change.

[0035] In an emergency, the device automatically sends an SOS signal, and the server notifies the nearest rescue organization via emergency response measures. The user is then provided with necessary response procedures and first aid information through the device.

[0036] Furthermore, using geodata analysis tools, the server periodically analyzes the geodata of hiking routes to identify areas where collapse or deterioration is predicted. This allows hiking trail managers to proactively carry out maintenance and improve safety.

[0037] As a concrete example, if a user is climbing in a mountainous area and receives a forecast of heavy rain from a weather information acquisition device, the server will quickly process a new safe route and guide the user to a lower elevation location suitable for evacuation. In this way, the present invention integrates and comprehensively supports climbers' preparations, ensuring safety during the climb, and emergency response.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user enters their climbing plan using their device. They register the mountain to be climbed, the route, the planned date and time, and the number of participants in the application, and this information is sent to the server.

[0041] Step 2:

[0042] The server uses location information acquisition methods to periodically and automatically receive the device's current location information. This ensures that the user's real-time location data is constantly updated.

[0043] Step 3:

[0044] The server retrieves the latest weather data from weather information acquisition methods. In particular, it acquires weather information specific to mountain climbing areas and analyzes risks such as sudden changes in weather.

[0045] Step 4:

[0046] The server uses route guidance to calculate a safe and optimal route and sends it to the terminal. Considering the user's current location and weather information, the server displays recommended route changes and important points on the terminal.

[0047] Step 5:

[0048] The device notifies the user and clearly displays route guidance and warnings sent from the server. In some cases, it may use voice notifications or vibrations to alert the user.

[0049] Step 6:

[0050] In the event of an emergency, the user presses the SOS button on their device. The device then quickly sends that information to the server.

[0051] Step 7:

[0052] The server receives an emergency notification and informs rescue agencies of the user's current location and the nature of the emergency. It also sends evacuation instructions and first aid guides to the device.

[0053] Step 8:

[0054] Using geodata analysis techniques, the server analyzes geographical information of hiking routes. It identifies areas where deterioration or abnormalities are predicted and notifies administrators, recommending maintenance.

[0055] Step 9:

[0056] After the climb is complete, the server collects and analyzes all the data. This allows us to plan and propose further safety measures for future climbs.

[0057] (Example 1)

[0058] 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."

[0059] The present invention aims to ensure the safety of mountain climbers by providing a system that effectively utilizes location information and weather information to consistently offer users safe climbing routes. In particular, there is a need for immediate response in emergencies and for more efficient route management to improve safety.

[0060] 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.

[0061] In this invention, the server includes a means for collecting geographic information, a means for evaluating the natural environment, and a means for providing safe route guidance. This enables users to receive real-time, accurate information-based instructions when climbing mountains, allowing them to climb safely.

[0062] "Geographic information collection means" refers to technology for acquiring a user's current location information and transmitting it to a server.

[0063] "Natural environment assessment methods" refer to technologies for acquiring and evaluating real-time weather data and environmental information in mountain climbing areas.

[0064] A "safe route guidance system" is a technology that presents users with the optimal and safest route based on acquired location and environmental information.

[0065] A "response mechanism" is a technology that enables the rapid issuance of emergency notifications and rescue instructions when danger is detected.

[0066] "Geographic data analysis methods" refer to technologies used to analyze geographical information of mountain climbing routes and identify areas that require maintenance.

[0067] "Notification means" refers to technology used to notify the nearest rescue organization of the user's location in the event of an emergency.

[0068] "Information processing means" refers to technologies that analyze information acquired after a mountain climb to improve safety measures for future climbs.

[0069] This invention is a system that comprehensively supports the safety of mountain climbers and aims to provide users with the most optimal and safe mountain climbing experience at all times. This system includes geographic information collection means, natural environment evaluation means, safe route guidance means, response means, geographic data analysis means, notification means, and information processing means.

[0070] First, the user enters their planned hiking route and dates via their device. The device continuously acquires the user's current location via GPS using geographic information gathering equipment and transmits this information to the server. The server acquires and analyzes weather conditions in real time using natural environment assessment equipment. Specifically, it obtains data from the Japan Meteorological Agency's API and other weather information providers.

[0071] Next, the server combines the acquired location information and weather information and performs data analysis using a generative AI model. This makes it possible to provide the user's device with the safest hiking route using a reliable route guidance system. For example, if a sudden weather change is detected, the server immediately calculates an evacuation route and notifies the device.

[0072] In the event of an emergency, the terminal automatically sends an SOS signal using its response mechanism. The server then notifies the nearest rescue organization of this information via its notification system and requests assistance. Additionally, the user's terminal displays instructions on how to respond to the emergency situation as it arises.

[0073] Furthermore, the server periodically analyzes geographic information along the hiking route using geographic data analysis tools. This allows the server to identify sections of the route that require maintenance, enabling trail managers to perform maintenance in advance.

[0074] As a concrete example, if a user is climbing a mountainous area and receives a forecast of heavy rain, the server will recalculate a safe route and guide the user to the new route. A generative AI model is used in this series of operations. This system can operate based on prompt messages such as the following:

[0075] Example of a prompt:

[0076] "My current location is latitude 35.3606 and longitude 138.7274. Please tell me the best evacuation route in case of a sudden change in weather."

[0077] In this way, the server and terminal work together to provide comprehensive and advanced support to climbers, thereby ensuring a safe climbing experience.

[0078] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0079] Step 1:

[0080] Users input their planned hiking route and itinerary using their device. This is done through the device application interface, and the user's planning information is sent to the server. The entered route and itinerary data is recorded by the server.

[0081] Step 2:

[0082] The device uses geographic information gathering means to obtain the user's current location via GPS. This location information is transmitted to the server in real time, and the server stores this information in a database. This data is used as foundational information to ensure the user's safety.

[0083] Step 3:

[0084] The server acquires weather data for mountain climbing areas using natural environment assessment tools. This includes a process of periodically collecting data from a weather information API. The acquired weather information is analyzed by the server and becomes the basis for evaluating current mountain climbing conditions.

[0085] Step 4:

[0086] The server uses a generative AI model to analyze location and weather information. Based on the input data, it calculates the optimal route using a safe route guidance system. For example, if the weather changes suddenly, the server immediately recalculates the evacuation route and sends it to the user's terminal. As output, the terminal is presented with the new route information.

[0087] Step 5:

[0088] In the event of an emergency, the terminal automatically transmits an SOS signal through its response mechanism. This signal is sent to a server and notified to emergency services using a notification system. Simultaneously, the server displays appropriate response instructions on the user's terminal. This enables rapid rescue operations.

[0089] Step 6:

[0090] The server periodically analyzes hiking routes using geographic data analysis tools. It processes the input geographic information and identifies areas where collapse or deterioration is predicted. This information is reported to hiking trail managers, improving the maintenance and upkeep of the routes. The output analysis results are used as preventative measures to provide users with a safe hiking environment.

[0091] (Application Example 1)

[0092] 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."

[0093] There is a problem in that travelers and tourists often find it difficult to visit their destinations safely and efficiently, avoid unexpected dangers and inconveniences, and enjoy the best possible travel experience. In particular, travelers need to be able to obtain appropriate information and respond quickly in complex urban environments and fluctuating weather conditions. Therefore, technological means that allow travelers to enjoy their trips with peace of mind are highly anticipated.

[0094] 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.

[0095] In this invention, the server includes means for acquiring location information, means for acquiring weather information, means for providing route guidance, and means for providing tourist information. This allows travelers to receive real-time guidance on safe routes based on their location and weather information, enabling safe movement within tourist areas. Furthermore, providing information about public facilities can enhance the travel experience.

[0096] "Location information acquisition means" refers to technology for identifying a traveler's current geographical location and collecting related data.

[0097] "Mechanisms for acquiring weather information" refer to technologies that detect changes in weather and the environment around a travel route and inform travelers of these changes.

[0098] "Route guidance means" refers to technology that provides travelers with the optimal travel route to reach their destination safely and efficiently.

[0099] "Emergency response measures" refer to techniques for providing quick and appropriate instructions or requesting rescue when travelers face unexpected danger.

[0100] "Geographic data analysis methods" refer to technologies that analyze geographical data of travel routes to identify areas that require maintenance.

[0101] "Tourism information provision methods" refer to technologies for providing travelers with real-time information about public facilities and tourist destinations.

[0102] "Notification means" refers to technology that transmits important information to the nearest support organizations and relevant parties based on the traveler's current location.

[0103] "Data analysis methods" refer to technologies that analyze data collected after a trip to propose safety measures and improvement plans for future trips.

[0104] This invention provides a system for travelers to safely and comfortably sightsee within cities. The system operates via an application installed on the user's smartphone or smart glasses. A server uses location information acquisition means to identify the traveler's current location and collects surrounding weather information in real time from weather information acquisition means. Based on this data, route guidance means calculates the optimal and safest travel route and presents it to the user.

[0105] Furthermore, the tourism information system provides real-time information related to public facilities and tourist destinations that users plan to visit. In the event of an emergency, the emergency response system automatically activates, and the server quickly notifies the nearest support organization. This allows users to enjoy their trip with peace of mind.

[0106] Furthermore, the geographic data analysis system analyzes travel route data to identify areas requiring future maintenance. After the trip, the data analysis system can be used to analyze the acquired data and propose improvements to safety measures for future trips to the user. In this way, the entire system aims to improve the safety and satisfaction of travelers.

[0107] For example, when a user visits a crowded tourist spot in a city, the program uses their location to display weather changes and current traffic conditions in real time, guiding them along a safe route. In emergencies, it can quickly request necessary assistance based on location information.

[0108] As an example of a prompt, the instructions for the generating AI model are provided in the form of, "Design an app that calculates a safe route for travelers to visit desired tourist spots while avoiding traffic jams, and guides them along that route."

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The device obtains the user's current location using the location information acquisition method of the user's smartphone or smart glasses. Based on this location information, the device sends location data to the server. The input is the user's current coordinates, and the output is the location data sent to the server. Specifically, the device measures its location using GPS or built-in sensors.

[0112] Step 2:

[0113] The server uses the received location data to collect weather information for the area around the current location using weather information acquisition methods. The input is location data, and the output is local weather information. The server accesses a weather database and extracts real-time weather data.

[0114] Step 3:

[0115] The server calculates the optimal and safest travel route for the user using route guidance based on acquired location and weather information. The input is location and weather information, and the output is a safe travel route. An algorithm is used to calculate a route that takes weather and traffic conditions into account.

[0116] Step 4:

[0117] The terminal displays the optimal travel route received from the server to the user. The input is the optimal travel route, and the output is the route display on the user's visual interface. Specifically, the route is visualized through a map application.

[0118] Step 5:

[0119] If an emergency occurs while the user is on the move, they can activate emergency response measures from their device and send an emergency signal to the server. The input is the emergency signal sent by the user, and the output is the notification to the server. Specifically, pressing a button automatically sends a rescue request.

[0120] Step 6:

[0121] The server receives emergency signals and uses notification methods to quickly contact the nearest support organization. The input is an emergency signal, and the output is an alert to the support organization. The server utilizes its internal communication network system to quickly contact the necessary organizations.

[0122] Step 7:

[0123] The device collects data on travel routes and emergency response history, and generates improvement suggestions for future trips through data analysis. Inputs are route data and emergency response history, while output is improvement suggestions. Past records stored in the database are analyzed to extract areas for improvement.

[0124] 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.

[0125] This invention is a comprehensive support system for ensuring the safety of climbers and providing a comfortable climbing experience, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, means for geodata analysis, and an emotion engine that recognizes the user's emotions.

[0126] First, the user uses their device to input a detailed plan for their planned mountain climb. The device's location information acquisition function continuously transmits the user's current location to the server. Based on this, the server tracks the location in real time.

[0127] Next, the server collects the latest weather data using weather information acquisition methods. This allows the server to assess risks such as sudden weather changes and, if necessary, provide the terminal with optimal route guidance.

[0128] The emotion engine analyzes the user's biometric information and estimates their emotional state. Specifically, it determines whether the user is experiencing stress or anxiety based on factors such as heart rate, sweating, and changes in voice tone. Based on this information, psychological support tools suggest rest and psychological support to the user. Furthermore, route guidance and emergency response procedures are adjusted according to the emotional state, allowing the user to continue their climb with greater flexibility and peace of mind.

[0129] In the event of an emergency, an SOS signal is automatically sent from the user's device, and the server notifies the nearest rescue organization. Considering the user's emotional state, as determined by the emotion engine, the server provides appropriate assistance.

[0130] Furthermore, using geodata analysis of hiking routes, the server periodically checks the paths and anticipates necessary maintenance. This allows administrators to facilitate the maintenance and upkeep of hiking trails and ensure safety.

[0131] For example, if a user feels anxious while climbing a steep mountain, the emotion engine detects this state and the device displays recommended rest points to help them relax. This allows the user to reduce their mental burden and continue climbing safely.

[0132] Thus, the present invention aims to improve the overall mountaineering activity by simultaneously providing safety and psychological support for mountaineers.

[0133] The following describes the processing flow.

[0134] Step 1:

[0135] Users input their climbing plans using their devices. Specifically, they register the mountain they will climb, the planned route, departure time, and the number of participants in the app, and this information is sent to the server.

[0136] Step 2:

[0137] The server uses location information acquisition methods to determine the user's current location received from the terminal and continuously updates the location data. This location information enables real-time tracking.

[0138] Step 3:

[0139] The server uses weather information acquisition methods to obtain the latest weather data for the mountain climbing area. If sudden weather changes or dangerous weather conditions are predicted, the server assesses the risks in advance.

[0140] Step 4:

[0141] Based on location and weather information collected by the server, a safe and optimal route is calculated using route guidance. This information is transmitted to the terminal, and instructions are displayed to the user according to their current route.

[0142] Step 5:

[0143] The device's built-in emotion engine analyzes the user's biometric data (heart rate, voice tone, sweating amount, etc.) to determine their stress and anxiety levels.

[0144] Step 6:

[0145] The server receives information from the emotion engine and, based on the user's psychological state, notifies the terminal of rest points or suggestions for emotional support if necessary.

[0146] Step 7:

[0147] In the event of an emergency, the user sends an emergency signal using the device's SOS function. The device immediately sends data of the user's current location and emotional state to the server.

[0148] Step 8:

[0149] The server receives emergency notifications, contacts the nearest rescue services, and provides users with instructions on emergency evacuation routes and first aid. Emotional state information is used to optimize the response.

[0150] Step 9:

[0151] Using geodata analysis tools, the server periodically analyzes the geographical information of hiking routes and identifies sections that require maintenance. It then notifies hiking trail managers of the areas that need maintenance.

[0152] Step 10:

[0153] After the climb is complete, the server collects and analyzes all behavioral and emotional data. Based on the insights gained, it prepares to provide users with suggestions to create a safer and more comfortable environment for future climbs.

[0154] (Example 2)

[0155] 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".

[0156] In recent years, with the increase in mountain climbers, accidents and getting lost during climbs have become a problem. Many of these are caused by climbers pushing themselves too hard without accurately understanding their own physiological state, or by their inability to make appropriate judgments in response to rapidly changing weather conditions. Furthermore, conventional systems lack sufficient psychological support for climbers, compromising both safety and comfort. Therefore, a comprehensive system is needed that can provide safe and psychologically supportive conditions by simultaneously considering real-time location information, weather information, and the emotional state of climbers.

[0157] 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.

[0158] In this invention, the server includes an emotion estimation means, a location information acquisition means, and a weather information acquisition means. This makes it possible to evaluate the physiological state of climbers in real time and provide safe and psychologically less burdensome route guidance, thereby reducing the risk of accidents during climbing and supporting a comfortable experience for climbers.

[0159] "Emotion estimation methods" are technologies that use physiological data of climbers to evaluate their emotional state in real time, with the aim of reducing their psychological burden.

[0160] "Location information acquisition means" refers to a technology that accurately measures the current location of a climber and transmits it to the system to enable real-time location tracking.

[0161] "Methods for acquiring weather information" refers to technologies for collecting weather data about the climber's current location and the area around their destination, and for evaluating the risk of sudden changes in weather.

[0162] "Route guidance means" refers to technology that provides hikers with the safest and least psychologically stressful optimal route based on acquired location information, weather information, and emotion estimation results.

[0163] "Emergency response measures" are technologies aimed at quickly issuing necessary notifications and rescue instructions when danger is detected during mountain climbing.

[0164] "Geographic information analysis means" refers to technology that enables the analysis of the condition of mountain climbing routes and the identification of areas requiring maintenance.

[0165] "Notification methods" refer to technologies that allow climbers to quickly contact the nearest rescue organization based on their location and emotional state in the event of an emergency.

[0166] "Data analysis methods" refer to techniques that analyze physiological and environmental data acquired after a mountain climb to propose improvements in safety and psychological support for future climbs.

[0167] This system is designed to help climbers climb safely and comfortably. The system consists of a server, terminals, and users.

[0168] The server plays a central role in integrating and analyzing various data. It uses emotion estimation methods to capture the user's physiological data and analyze their psychological state. Specifically, data such as heart rate and sweating are used, acquired using the device's sensors (e.g., biofeedback devices). The server also utilizes GPS data transmitted from the device via location information acquisition methods to constantly track the user's precise location. Furthermore, it uses weather information acquisition methods to obtain the latest weather information from weather data providers via the internet. This information includes current weather conditions and forecasts.

[0169] The terminal transmits the user's physiological state and environmental information to the server, and also displays instructions and information sent from the server to the user. The terminal is equipped with a heart rate sensor and a GPS device to collect data in real time. It also provides a user interface for inputting climbing plans, receiving route guidance, and providing instructions for emergency response.

[0170] Users begin using the system by entering their climbing plan into a terminal. They can specify the dates, destination, and necessary service options. Based on the entered information, the system provides support with maximum consideration for safety during the climb.

[0171] For example, if a user experiences psychological anxiety while climbing a steep mountain, the emotion estimation system can detect this state, and the device can display appropriate psychological support messages and recommended rest points. Furthermore, if the weather changes suddenly, the weather information acquisition system can immediately notify the user of the updated weather forecast and guide them back to the optimal route.

[0172] An example of a prompt for a generative AI model is, "Please explain in detail how this mountain climbing support system provides psychological support to climbers."

[0173] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0174] Step 1:

[0175] The user enters their climbing plan using a terminal. This includes the climbing date, destination, and start time. The terminal then prepares to send this information to the server. This allows the system to understand the user's specific action plan and prepare for the next data processing step.

[0176] Step 2:

[0177] The device uses a location acquisition method to obtain the user's current location from GPS. This data is transmitted to the server in real time, allowing the user's location to be constantly tracked. The server uses this location information to map the user's travel route. When the information arrives at the server, it is cross-referenced with a map database, and hiking route information is generated.

[0178] Step 3:

[0179] The server uses weather information acquisition methods to retrieve current weather data from a weather data provision service. Based on the user's current location, it queries for the latest weather information for the corresponding area. The acquired data is used for analysis to assess the risk of sudden weather changes. As output, a safety assessment is performed for the next route guidance.

[0180] Step 4:

[0181] The server calculates the optimal route based on location information, weather information, and a pre-configured route guidance algorithm. The resulting information includes the newly calculated route, warnings about significant weather changes, and recommended rest stops. This information is sent to the terminal and displayed on the user's screen.

[0182] Step 5:

[0183] The device uses emotion estimation to collect the user's physiological data (heart rate, skin electrical response, etc.). This input data is sent to the server in real time. The server runs an emotion engine to estimate the user's psychological state. Based on the results, if psychological support is deemed necessary, the server generates support messages and rest suggestions and sends them to the device. If the device determines that the user is experiencing stress, it will display a message such as, "Your current heart rate is elevated. Please take a break at the next safe point."

[0184] Step 6:

[0185] In the event of an emergency, the user uses their device to send an SOS signal. The device sends this emergency signal to a server. The server constructs a notification based on the user's current location and emotional state, and sends an emergency notification to the nearest rescue organization. This notification includes detailed location information of the user and data on their psychological state derived from emotion estimation.

[0186] Step 7:

[0187] The server uses geographic information analysis tools to analyze the geodata of hiking routes. This includes cross-referencing with map databases and checking gradients and trail conditions. The analysis results are used to notify administrators of maintenance needs and are reflected in the next scheduled maintenance plan. The output identifies sections of the hiking trail that require attention and determines maintenance priorities.

[0188] (Application Example 2)

[0189] 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".

[0190] Ensuring safe and comfortable mobility in urban environments is crucial for improving the experience of visitors and residents. However, responding quickly to sudden weather changes, getting lost in crowded tourist areas, and the stress and anxiety experienced by individual users presents challenges. Therefore, a system that can integrate psychological support and dynamic route guidance is needed.

[0191] 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.

[0192] In this invention, the server includes location information acquisition means for obtaining the user's current location information, weather information acquisition means for evaluating environmental conditions, and emotion recognition means for estimating the user's emotional state and providing psychological support. This enables users to move around safely in urban environments and enjoy psychologically comfortable visits.

[0193] "Location information acquisition means" refers to technology equipped with the function of accurately measuring and recording the user's location data.

[0194] "Mechanisms for acquiring weather information" refer to technologies for collecting and analyzing current and future weather conditions.

[0195] "Route guidance systems" are technologies aimed at presenting users with safe and efficient routes.

[0196] "Emergency response measures" are technologies for providing rapid and appropriate notification and support in the event of an emergency.

[0197] "Geodata analysis methods" are technologies that process geographic data to identify routes for maintenance and necessary improvements.

[0198] "Emotion recognition tools" are technologies used to estimate a user's psychological state and provide appropriate psychological support.

[0199] "Urban visit support means" are technologies that support transportation and sightseeing in urban areas and promote a comfortable experience for visitors.

[0200] This invention provides a system for realizing safe and comfortable mobility in urban environments. The system consists of a server and terminals held by users.

[0201] The server uses location information acquisition methods to accurately determine the user's current location. Specifically, it utilizes the GPS function of smartphones and smart glasses to acquire the user's geographic coordinates in real time. This allows for constant monitoring of the user's dynamic location.

[0202] Furthermore, as a means of obtaining weather information, the system utilizes API services (such as OpenWeatherMap) to acquire and analyze current and predicted weather data. Based on this information, the server provides users with optimal route guidance and encourages them to take actions appropriate to their environment.

[0203] The emotion recognition system utilizes sensors (such as heart rate sensors and voice input devices) installed in the device to collect the user's biometric information. This data is analyzed by machine learning models such as TENSORFLOW® to estimate the user's psychological state. Based on this estimation, the device suggests relaxation methods and resting places if psychological support is needed.

[0204] Urban travel support systems guide users to the most suitable urban routes and destinations based on their current situation and emotional state, thereby reducing the stress of sightseeing and travel.

[0205] As a concrete example, suppose a user visiting a tourist spot in a city feels anxious due to a sudden change in weather. The server analyzes the weather information and the user's emotional state, and guides the user to a nearby safe and comfortable evacuation site. The terminal also suggests relaxation music to alleviate the user's mental tension.

[0206] An example of a prompt message for the generating AI model would be, "I am currently in a tourist area in a city, but I am feeling anxious due to the sudden rain and cold. Please tell me how I can feel safe here." By inputting this, the AI ​​can provide appropriate guidance and support.

[0207] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0208] Step 1:

[0209] The server receives the user's current location data through the terminal's location information acquisition mechanism. Using this location information as input, the server stores the location information in a database in real time, allowing it to constantly monitor the user's movements.

[0210] Step 2:

[0211] The server obtains current and forecast weather data using weather information acquisition methods. Weather data is collected via an API service, analyzed on the server side as input, and the weather conditions necessary for safe route guidance are extracted. This prepares the system to provide information that can be used to ensure the safe travel of users.

[0212] Step 3:

[0213] The device uses its built-in heart rate sensor and voice input device to acquire the user's biometric information. This information is sent from the device to a server, where emotional analysis is performed through emotion recognition. From this data, the user's stress levels and sense of security are estimated, and the need for psychological support is determined.

[0214] Step 4:

[0215] Based on the data analysis results from the previous step, the server generates optimal route guidance and psychological support tailored to the user's current location and emotional state. Here, a generation AI model is used to automatically construct relaxation method recommendations and route guidance. Presenting this output to the user provides a comfortable environment.

[0216] Step 5:

[0217] Based on the emotional state obtained from the device, the server generates a prompt message that matches that state and sends the generated guidance and psychological support content to the device. This allows users to explore the urban environment psychologically and safely.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] [Second Embodiment]

[0222] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0223] 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.

[0224] 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).

[0225] 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.

[0226] 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.

[0227] 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).

[0228] 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.

[0229] 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.

[0230] 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.

[0231] 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.

[0232] 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.

[0233] 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".

[0234] This invention is a comprehensive support system for ensuring the safety of climbers, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, and means for geodata analysis.

[0235] First, the user enters their planned hiking route and dates using their device. The device's location information function activates, and the user's current location is constantly transmitted to the server. In addition, real-time weather data for the hiking area is obtained by the server using weather information acquisition methods.

[0236] Based on this data, the server uses route guidance to present the user's device with the most optimal and safe route. For example, if the weather suddenly changes, the server can recalculate the evacuation route based on the user's location and quickly notify the device of the change.

[0237] In an emergency, the device automatically sends an SOS signal, and the server notifies the nearest rescue organization via emergency response measures. The user is then provided with necessary response procedures and first aid information through the device.

[0238] Furthermore, using geodata analysis tools, the server periodically analyzes the geodata of hiking routes to identify areas where collapse or deterioration is predicted. This allows hiking trail managers to proactively carry out maintenance and improve safety.

[0239] As a concrete example, if a user is climbing in a mountainous area and receives a forecast of heavy rain from a weather information acquisition device, the server will quickly process a new safe route and guide the user to a lower elevation location suitable for evacuation. In this way, the present invention integrates and comprehensively supports climbers' preparations, ensuring safety during the climb, and emergency response.

[0240] The following describes the processing flow.

[0241] Step 1:

[0242] The user enters their climbing plan using their device. They register the mountain to be climbed, the route, the planned date and time, and the number of participants in the application, and this information is sent to the server.

[0243] Step 2:

[0244] The server uses location information acquisition methods to periodically and automatically receive the device's current location information. This ensures that the user's real-time location data is constantly updated.

[0245] Step 3:

[0246] The server retrieves the latest weather data from weather information acquisition methods. In particular, it acquires weather information specific to mountain climbing areas and analyzes risks such as sudden changes in weather.

[0247] Step 4:

[0248] The server uses route guidance to calculate a safe and optimal route and sends it to the terminal. Considering the user's current location and weather information, the server displays recommended route changes and important points on the terminal.

[0249] Step 5:

[0250] The device notifies the user and clearly displays route guidance and warnings sent from the server. In some cases, it may use voice notifications or vibrations to alert the user.

[0251] Step 6:

[0252] In the event of an emergency, the user presses the SOS button on their device. The device then quickly sends that information to the server.

[0253] Step 7:

[0254] The server receives an emergency notification and informs rescue agencies of the user's current location and the nature of the emergency. It also sends evacuation instructions and first aid guides to the device.

[0255] Step 8:

[0256] Using geodata analysis techniques, the server analyzes geographical information of hiking routes. It identifies areas where deterioration or abnormalities are predicted and notifies administrators, recommending maintenance.

[0257] Step 9:

[0258] After the climb is complete, the server collects and analyzes all the data. This allows us to plan and propose further safety measures for future climbs.

[0259] (Example 1)

[0260] 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."

[0261] The present invention aims to ensure the safety of mountain climbers by providing a system that effectively utilizes location information and weather information to consistently offer users safe climbing routes. In particular, there is a need for immediate response in emergencies and for more efficient route management to improve safety.

[0262] 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.

[0263] In this invention, the server includes a means for collecting geographic information, a means for evaluating the natural environment, and a means for providing safe route guidance. This enables users to receive real-time, accurate information-based instructions when climbing mountains, allowing them to climb safely.

[0264] "Geographic information collection means" refers to technology for acquiring a user's current location information and transmitting it to a server.

[0265] "Natural environment assessment methods" refer to technologies for acquiring and evaluating real-time weather data and environmental information in mountain climbing areas.

[0266] A "safe route guidance system" is a technology that presents users with the optimal and safest route based on acquired location and environmental information.

[0267] A "response mechanism" is a technology that enables the rapid issuance of emergency notifications and rescue instructions when danger is detected.

[0268] "Geographic data analysis methods" refer to technologies used to analyze geographical information of mountain climbing routes and identify areas that require maintenance.

[0269] "Notification means" refers to technology used to notify the nearest rescue organization of the user's location in the event of an emergency.

[0270] "Information processing means" refers to technologies that analyze information acquired after a mountain climb to improve safety measures for future climbs.

[0271] This invention is a system that comprehensively supports the safety of mountain climbers and aims to provide users with the most optimal and safe mountain climbing experience at all times. This system includes geographic information collection means, natural environment evaluation means, safe route guidance means, response means, geographic data analysis means, notification means, and information processing means.

[0272] First, the user enters their planned hiking route and dates via their device. The device continuously acquires the user's current location via GPS using geographic information gathering equipment and transmits this information to the server. The server acquires and analyzes weather conditions in real time using natural environment assessment equipment. Specifically, it obtains data from the Japan Meteorological Agency's API and other weather information providers.

[0273] Next, the server combines the acquired location information and weather information and performs data analysis using a generative AI model. This makes it possible to provide the user's device with the safest hiking route using a reliable route guidance system. For example, if a sudden weather change is detected, the server immediately calculates an evacuation route and notifies the device.

[0274] In the event of an emergency, the terminal automatically sends an SOS signal using its response mechanism. The server then notifies the nearest rescue organization of this information via its notification system and requests assistance. Additionally, the user's terminal displays instructions on how to respond to the emergency situation as it arises.

[0275] Furthermore, the server periodically analyzes the geographical information on the climbing route by means of geographical data analysis means. As a result, the locations where route maintenance is necessary can be identified, and the climbing route administrator can perform maintenance in advance.

[0276] As a specific example, when a certain user receives a heavy rain forecast while climbing a mountainous area, the server recalculates a safe route and guides the terminal to a new route. During this series of operations, a generative AI model is used. This system can operate based on the following prompt text.

[0277] Example of prompt text:

[0278] "The current location is latitude 35.3606 and longitude 138.7274. Please tell me the optimal evacuation route in case of sudden weather change."

[0279] In this way, by the server and the terminal cooperating to provide comprehensive and advanced support to climbers, a safe climbing experience is realized.

[0280] The flow of the specific process in Example 1 will be described using FIG. 11.

[0281] Step 1:

[0282] The user inputs the planned climbing route and schedule using the terminal. This is done through the interface of the terminal application, and the user's planning information is sent to the server. The input route and schedule data are recorded by the server.

[0283] Step 2:

[0284] The terminal uses geographical information collection means to obtain the user's current location via GPS. This location information is sent to the server in real time, and the server saves the information in the database. This data is used as the basic information for ensuring the user's safety.

[0285] Step 3:

[0286] The server uses natural environment evaluation means to obtain the meteorological data of the mountain climbing area. This includes the process of regularly collecting data from the meteorological information API. The obtained meteorological information is analyzed by the server and becomes the basic data for evaluating the current mountain climbing conditions.

[0287] Step 4:

[0288] The server utilizes the generative AI model to analyze by combining the location information and meteorological information. Based on the input data, it calculates the optimal route using the safe route guidance means. For example, when the weather changes suddenly, the server immediately recalculates the evacuation route and sends it to the user's terminal. As output, new route information is presented to the terminal.

[0289] Step 5:

[0290] When an emergency occurs, the terminal automatically transmits an SOS signal through the response means. This signal is sent to the server and notified to the emergency agency using the notification means. At the same time, the server displays the appropriate handling method on the user's terminal. This enables rapid rescue activities.

[0291] Step 6:

[0292] The server regularly analyzes the mountain climbing route using geographical data analysis means. It processes the input geographical information and identifies locations where collapse or deterioration is predicted. This information is reported to the mountain path administrator, improving the maintenance of the route. The output analysis results are used as preventive measures to provide an environment where users can safely climb the mountain.

[0293] (Application Example 1)

[0294] 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".

[0295] There is a problem in that travelers and tourists often find it difficult to visit their destinations safely and efficiently, avoid unexpected dangers and inconveniences, and enjoy the best possible travel experience. In particular, travelers need to be able to obtain appropriate information and respond quickly in complex urban environments and fluctuating weather conditions. Therefore, technological means that allow travelers to enjoy their trips with peace of mind are highly anticipated.

[0296] 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.

[0297] In this invention, the server includes means for acquiring location information, means for acquiring weather information, means for providing route guidance, and means for providing tourist information. This allows travelers to receive real-time guidance on safe routes based on their location and weather information, enabling safe movement within tourist areas. Furthermore, providing information about public facilities can enhance the travel experience.

[0298] "Location information acquisition means" refers to technology for identifying a traveler's current geographical location and collecting related data.

[0299] "Mechanisms for acquiring weather information" refer to technologies that detect changes in weather and the environment around a travel route and inform travelers of these changes.

[0300] "Route guidance means" refers to technology that provides travelers with the optimal travel route to reach their destination safely and efficiently.

[0301] "Emergency response measures" refer to techniques for providing quick and appropriate instructions or requesting rescue when travelers face unexpected danger.

[0302] "Geographic data analysis methods" refer to technologies that analyze geographical data of travel routes to identify areas that require maintenance.

[0303] The "tourism information providing means" is a technology for providing travelers with real-time information on public facilities and tourist destinations.

[0304] The "notification means" is a technology for transmitting important information to the nearest support agencies and relevant persons based on the current location of the traveler.

[0305] The "data analysis means" is a technology for analyzing the data collected after the trip and proposing safety measures and improvement plans for future trips.

[0306] The present invention is a system for enabling travelers to safely and comfortably tour the city. The system operates via an application installed on the user's smartphone or smart glasses. The server identifies the current location of the traveler using the location information acquisition means and collects the surrounding weather information from the weather information acquisition means in real time. Based on these data, the route guidance means calculates the optimal and safe movement route and presents it to the user.

[0307] In addition, the tourism information providing means provides real-time information related to public facilities and tourist destinations that the user plans to visit. In case of an emergency, the emergency response means automatically activates and is quickly notified from the server to the nearest support agency. As a result, the user can enjoy the trip with peace of mind.

[0308] Furthermore, the geographical data analysis means analyzes the data of the movement route and identifies locations that will require future maintenance. After the trip, using the data analysis means, the acquired data can be analyzed and improvement plans for safety measures for future trips can be proposed to the user. In this way, the entire system aims to improve the safety and satisfaction of travelers.

[0309] As a specific example, when the user visits a tourist destination in a congested city, the program presents the weather changes and the current traffic situation in real time based on its own location and guides a safe route. In case of an emergency, necessary assistance can be quickly requested based on the location information.

[0310] As an example of a prompt, the instructions for the generating AI model are provided in the form of, "Design an app that calculates a safe route for travelers to visit desired tourist spots while avoiding traffic jams, and guides them along that route."

[0311] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0312] Step 1:

[0313] The device obtains the user's current location using the location information acquisition method of the user's smartphone or smart glasses. Based on this location information, the device sends location data to the server. The input is the user's current coordinates, and the output is the location data sent to the server. Specifically, the device measures its location using GPS or built-in sensors.

[0314] Step 2:

[0315] The server uses the received location data to collect weather information for the area around the current location using weather information acquisition methods. The input is location data, and the output is local weather information. The server accesses a weather database and extracts real-time weather data.

[0316] Step 3:

[0317] The server calculates the optimal and safest travel route for the user using route guidance based on acquired location and weather information. The input is location and weather information, and the output is a safe travel route. An algorithm is used to calculate a route that takes weather and traffic conditions into account.

[0318] Step 4:

[0319] The terminal displays the optimal travel route received from the server to the user. The input is the optimal travel route, and the output is the route display on the user's visual interface. Specifically, the route is visualized through a map application.

[0320] Step 5:

[0321] If an emergency occurs while the user is on the move, they can activate emergency response measures from their device and send an emergency signal to the server. The input is the emergency signal sent by the user, and the output is the notification to the server. Specifically, pressing a button automatically sends a rescue request.

[0322] Step 6:

[0323] The server receives emergency signals and uses notification methods to quickly contact the nearest support organization. The input is an emergency signal, and the output is an alert to the support organization. The server utilizes its internal communication network system to quickly contact the necessary organizations.

[0324] Step 7:

[0325] The device collects data on travel routes and emergency response history, and generates improvement suggestions for future trips through data analysis. Inputs are route data and emergency response history, while output is improvement suggestions. Past records stored in the database are analyzed to extract areas for improvement.

[0326] 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.

[0327] This invention is a comprehensive support system for ensuring the safety of climbers and providing a comfortable climbing experience, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, means for geodata analysis, and an emotion engine that recognizes the user's emotions.

[0328] First, the user uses their device to input a detailed plan for their planned mountain climb. The device's location information acquisition function continuously transmits the user's current location to the server. Based on this, the server tracks the location in real time.

[0329] Next, the server collects the latest weather data using weather information acquisition methods. This allows the server to assess risks such as sudden weather changes and, if necessary, provide the terminal with optimal route guidance.

[0330] The emotion engine analyzes the user's biometric information and estimates their emotional state. Specifically, it determines whether the user is experiencing stress or anxiety based on factors such as heart rate, sweating, and changes in voice tone. Based on this information, psychological support tools suggest rest and psychological support to the user. Furthermore, route guidance and emergency response procedures are adjusted according to the emotional state, allowing the user to continue their climb with greater flexibility and peace of mind.

[0331] In the event of an emergency, an SOS signal is automatically sent from the user's device, and the server notifies the nearest rescue organization. Considering the user's emotional state, as determined by the emotion engine, the server provides appropriate assistance.

[0332] Furthermore, using geodata analysis of hiking routes, the server periodically checks the paths and anticipates necessary maintenance. This allows administrators to facilitate the maintenance and upkeep of hiking trails and ensure safety.

[0333] For example, if a user feels anxious while climbing a steep mountain, the emotion engine detects this state and the device displays recommended rest points to help them relax. This allows the user to reduce their mental burden and continue climbing safely.

[0334] Thus, the present invention aims to improve the overall mountaineering activity by simultaneously providing safety and psychological support for mountaineers.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] Users input their climbing plans using their devices. Specifically, they register the mountain they will climb, the planned route, departure time, and the number of participants in the app, and this information is sent to the server.

[0338] Step 2:

[0339] The server uses location information acquisition methods to determine the user's current location received from the terminal and continuously updates the location data. This location information enables real-time tracking.

[0340] Step 3:

[0341] The server uses weather information acquisition methods to obtain the latest weather data for the mountain climbing area. If sudden weather changes or dangerous weather conditions are predicted, the server assesses the risks in advance.

[0342] Step 4:

[0343] Based on location and weather information collected by the server, a safe and optimal route is calculated using route guidance. This information is transmitted to the terminal, and instructions are displayed to the user according to their current route.

[0344] Step 5:

[0345] The device's built-in emotion engine analyzes the user's biometric data (heart rate, voice tone, sweating amount, etc.) to determine their stress and anxiety levels.

[0346] Step 6:

[0347] The server receives information from the emotion engine and, based on the user's psychological state, notifies the terminal of rest points or suggestions for emotional support if necessary.

[0348] Step 7:

[0349] In the event of an emergency, the user sends an emergency signal using the device's SOS function. The device immediately sends data of the user's current location and emotional state to the server.

[0350] Step 8:

[0351] The server receives emergency notifications, contacts the nearest rescue services, and provides users with instructions on emergency evacuation routes and first aid. Emotional state information is used to optimize the response.

[0352] Step 9:

[0353] Using geodata analysis tools, the server periodically analyzes the geographical information of hiking routes and identifies sections that require maintenance. It then notifies hiking trail managers of the areas that need maintenance.

[0354] Step 10:

[0355] After the climb is complete, the server collects and analyzes all behavioral and emotional data. Based on the insights gained, it prepares to provide users with suggestions to create a safer and more comfortable environment for future climbs.

[0356] (Example 2)

[0357] 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".

[0358] In recent years, with the increase in mountain climbers, accidents and getting lost during climbs have become a problem. Many of these are caused by climbers pushing themselves too hard without accurately understanding their own physiological state, or by their inability to make appropriate judgments in response to rapidly changing weather conditions. Furthermore, conventional systems lack sufficient psychological support for climbers, compromising both safety and comfort. Therefore, a comprehensive system is needed that can provide safe and psychologically supportive conditions by simultaneously considering real-time location information, weather information, and the emotional state of climbers.

[0359] 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.

[0360] In this invention, the server includes an emotion estimation means, a location information acquisition means, and a weather information acquisition means. This makes it possible to evaluate the physiological state of climbers in real time and provide safe and psychologically less burdensome route guidance, thereby reducing the risk of accidents during climbing and supporting a comfortable experience for climbers.

[0361] "Emotion estimation methods" are technologies that use physiological data of climbers to evaluate their emotional state in real time, with the aim of reducing their psychological burden.

[0362] "Location information acquisition means" refers to a technology that accurately measures the current location of a climber and transmits it to the system to enable real-time location tracking.

[0363] "Methods for acquiring weather information" refers to technologies for collecting weather data about the climber's current location and the area around their destination, and for evaluating the risk of sudden changes in weather.

[0364] "Route guidance means" refers to technology that provides hikers with the safest and least psychologically stressful optimal route based on acquired location information, weather information, and emotion estimation results.

[0365] "Emergency response measures" are technologies aimed at quickly issuing necessary notifications and rescue instructions when danger is detected during mountain climbing.

[0366] "Geographic information analysis means" refers to technology that enables the analysis of the condition of mountain climbing routes and the identification of areas requiring maintenance.

[0367] "Notification methods" refer to technologies that allow climbers to quickly contact the nearest rescue organization based on their location and emotional state in the event of an emergency.

[0368] "Data analysis methods" refer to techniques that analyze physiological and environmental data acquired after a mountain climb to propose improvements in safety and psychological support for future climbs.

[0369] This system is designed to help climbers climb safely and comfortably. The system consists of a server, terminals, and users.

[0370] The server plays a central role in integrating and analyzing various data. It uses emotion estimation methods to capture the user's physiological data and analyze their psychological state. Specifically, data such as heart rate and sweating are used, acquired using the device's sensors (e.g., biofeedback devices). The server also utilizes GPS data transmitted from the device via location information acquisition methods to constantly track the user's precise location. Furthermore, it uses weather information acquisition methods to obtain the latest weather information from weather data providers via the internet. This information includes current weather conditions and forecasts.

[0371] The terminal transmits the user's physiological state and environmental information to the server, and also displays instructions and information sent from the server to the user. The terminal is equipped with a heart rate sensor and a GPS device to collect data in real time. It also provides a user interface for inputting climbing plans, receiving route guidance, and providing instructions for emergency response.

[0372] Users begin using the system by entering their climbing plan into a terminal. They can specify the dates, destination, and necessary service options. Based on the entered information, the system provides support with maximum consideration for safety during the climb.

[0373] For example, if a user experiences psychological anxiety while climbing a steep mountain, the emotion estimation system can detect this state, and the device can display appropriate psychological support messages and recommended rest points. Furthermore, if the weather changes suddenly, the weather information acquisition system can immediately notify the user of the updated weather forecast and guide them back to the optimal route.

[0374] An example of a prompt for a generative AI model is, "Please explain in detail how this mountain climbing support system provides psychological support to climbers."

[0375] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0376] Step 1:

[0377] The user enters their climbing plan using a terminal. This includes the climbing date, destination, and start time. The terminal then prepares to send this information to the server. This allows the system to understand the user's specific action plan and prepare for the next data processing step.

[0378] Step 2:

[0379] The device uses a location acquisition method to obtain the user's current location from GPS. This data is transmitted to the server in real time, allowing the user's location to be constantly tracked. The server uses this location information to map the user's travel route. When the information arrives at the server, it is cross-referenced with a map database, and hiking route information is generated.

[0380] Step 3:

[0381] The server uses weather information acquisition methods to retrieve current weather data from a weather data provision service. Based on the user's current location, it queries for the latest weather information for the corresponding area. The acquired data is used for analysis to assess the risk of sudden weather changes. As output, a safety assessment is performed for the next route guidance.

[0382] Step 4:

[0383] The server calculates the optimal route based on location information, weather information, and a pre-configured route guidance algorithm. The resulting information includes the newly calculated route, warnings about significant weather changes, and recommended rest stops. This information is sent to the terminal and displayed on the user's screen.

[0384] Step 5:

[0385] The device uses emotion estimation to collect the user's physiological data (heart rate, skin electrical response, etc.). This input data is sent to the server in real time. The server runs an emotion engine to estimate the user's psychological state. Based on the results, if psychological support is deemed necessary, the server generates support messages and rest suggestions and sends them to the device. If the device determines that the user is experiencing stress, it will display a message such as, "Your current heart rate is elevated. Please take a break at the next safe point."

[0386] Step 6:

[0387] In the event of an emergency, the user uses their device to send an SOS signal. The device sends this emergency signal to a server. The server constructs a notification based on the user's current location and emotional state, and sends an emergency notification to the nearest rescue organization. This notification includes detailed location information of the user and data on their psychological state derived from emotion estimation.

[0388] Step 7:

[0389] The server uses geographic information analysis tools to analyze the geodata of hiking routes. This includes cross-referencing with map databases and checking gradients and trail conditions. The analysis results are used to notify administrators of maintenance needs and are reflected in the next scheduled maintenance plan. The output identifies sections of the hiking trail that require attention and determines maintenance priorities.

[0390] (Application Example 2)

[0391] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0392] Ensuring safe and comfortable mobility in urban environments is crucial for improving the experience of visitors and residents. However, responding quickly to sudden weather changes, getting lost in crowded tourist areas, and the stress and anxiety experienced by individual users presents challenges. Therefore, a system that can integrate psychological support and dynamic route guidance is needed.

[0393] 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.

[0394] In this invention, the server includes location information acquisition means for obtaining the user's current location information, weather information acquisition means for evaluating environmental conditions, and emotion recognition means for estimating the user's emotional state and providing psychological support. This enables users to move around safely in urban environments and enjoy psychologically comfortable visits.

[0395] "Location information acquisition means" refers to technology equipped with the function of accurately measuring and recording the user's location data.

[0396] "Mechanisms for acquiring weather information" refer to technologies for collecting and analyzing current and future weather conditions.

[0397] "Route guidance systems" are technologies aimed at presenting users with safe and efficient routes.

[0398] "Emergency response measures" are technologies for providing rapid and appropriate notification and support in the event of an emergency.

[0399] "Geodata analysis methods" are technologies that process geographic data to identify routes for maintenance and necessary improvements.

[0400] "Emotion recognition tools" are technologies used to estimate a user's psychological state and provide appropriate psychological support.

[0401] "Urban visit support means" are technologies that support transportation and sightseeing in urban areas and promote a comfortable experience for visitors.

[0402] This invention provides a system for realizing safe and comfortable mobility in urban environments. The system consists of a server and terminals held by users.

[0403] The server uses location information acquisition methods to accurately determine the user's current location. Specifically, it utilizes the GPS function of smartphones and smart glasses to acquire the user's geographic coordinates in real time. This allows for constant monitoring of the user's dynamic location.

[0404] Furthermore, as a means of obtaining weather information, the system utilizes API services (such as OpenWeatherMap) to acquire and analyze current and predicted weather data. Based on this information, the server provides users with optimal route guidance and encourages them to take actions appropriate to their environment.

[0405] The emotion recognition system utilizes sensors (such as heart rate sensors and voice input devices) installed in the device to collect the user's biometric information. This data is analyzed using machine learning models, such as TensorFlow, to estimate the user's psychological state. Based on this estimation, the device suggests relaxation methods and resting places if psychological support is needed.

[0406] Urban travel support systems guide users to the most suitable urban routes and destinations based on their current situation and emotional state, thereby reducing the stress of sightseeing and travel.

[0407] As a concrete example, suppose a user visiting a tourist spot in a city feels anxious due to a sudden change in weather. The server analyzes the weather information and the user's emotional state, and guides the user to a nearby safe and comfortable evacuation site. The terminal also suggests relaxation music to alleviate the user's mental tension.

[0408] An example of a prompt message for the generating AI model would be, "I am currently in a tourist area in a city, but I am feeling anxious due to the sudden rain and cold. Please tell me how I can feel safe here." By inputting this, the AI ​​can provide appropriate guidance and support.

[0409] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0410] Step 1:

[0411] The server receives the user's current location data through the terminal's location information acquisition mechanism. Using this location information as input, the server stores the location information in a database in real time, allowing it to constantly monitor the user's movements.

[0412] Step 2:

[0413] The server obtains current and forecast weather data using weather information acquisition methods. Weather data is collected via an API service, analyzed on the server side as input, and the weather conditions necessary for safe route guidance are extracted. This prepares the system to provide information that can be used to ensure the safe travel of users.

[0414] Step 3:

[0415] The device uses its built-in heart rate sensor and voice input device to acquire the user's biometric information. This information is sent from the device to a server, where emotional analysis is performed through emotion recognition. From this data, the user's stress levels and sense of security are estimated, and the need for psychological support is determined.

[0416] Step 4:

[0417] Based on the data analysis results from the previous step, the server generates optimal route guidance and psychological support tailored to the user's current location and emotional state. Here, a generation AI model is used to automatically construct relaxation method recommendations and route guidance. Presenting this output to the user provides a comfortable environment.

[0418] Step 5:

[0419] Based on the emotional state obtained from the device, the server generates a prompt message that matches that state and sends the generated guidance and psychological support content to the device. This allows users to explore the urban environment psychologically and safely.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] [Third Embodiment]

[0424] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0425] 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.

[0426] 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).

[0427] 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.

[0428] 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.

[0429] 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).

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] 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".

[0436] This invention is a comprehensive support system for ensuring the safety of climbers, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, and means for geodata analysis.

[0437] First, the user enters their planned hiking route and dates using their device. The device's location information function activates, and the user's current location is constantly transmitted to the server. In addition, real-time weather data for the hiking area is obtained by the server using weather information acquisition methods.

[0438] Based on this data, the server uses route guidance to present the user's device with the most optimal and safe route. For example, if the weather suddenly changes, the server can recalculate the evacuation route based on the user's location and quickly notify the device of the change.

[0439] In an emergency, the device automatically sends an SOS signal, and the server notifies the nearest rescue organization via emergency response measures. The user is then provided with necessary response procedures and first aid information through the device.

[0440] Furthermore, using geodata analysis tools, the server periodically analyzes the geodata of hiking routes to identify areas where collapse or deterioration is predicted. This allows hiking trail managers to proactively carry out maintenance and improve safety.

[0441] As a concrete example, if a user is climbing in a mountainous area and receives a forecast of heavy rain from a weather information acquisition device, the server will quickly process a new safe route and guide the user to a lower elevation location suitable for evacuation. In this way, the present invention integrates and comprehensively supports climbers' preparations, ensuring safety during the climb, and emergency response.

[0442] The following describes the processing flow.

[0443] Step 1:

[0444] The user enters their climbing plan using their device. They register the mountain to be climbed, the route, the planned date and time, and the number of participants in the application, and this information is sent to the server.

[0445] Step 2:

[0446] The server uses location information acquisition methods to periodically and automatically receive the device's current location information. This ensures that the user's real-time location data is constantly updated.

[0447] Step 3:

[0448] The server retrieves the latest weather data from weather information acquisition methods. In particular, it acquires weather information specific to mountain climbing areas and analyzes risks such as sudden changes in weather.

[0449] Step 4:

[0450] The server uses route guidance to calculate a safe and optimal route and sends it to the terminal. Considering the user's current location and weather information, the server displays recommended route changes and important points on the terminal.

[0451] Step 5:

[0452] The device notifies the user and clearly displays route guidance and warnings sent from the server. In some cases, it may use voice notifications or vibrations to alert the user.

[0453] Step 6:

[0454] In the event of an emergency, the user presses the SOS button on their device. The device then quickly sends that information to the server.

[0455] Step 7:

[0456] The server receives an emergency notification and informs rescue agencies of the user's current location and the nature of the emergency. It also sends evacuation instructions and first aid guides to the device.

[0457] Step 8:

[0458] Using geodata analysis techniques, the server analyzes geographical information of hiking routes. It identifies areas where deterioration or abnormalities are predicted and notifies administrators, recommending maintenance.

[0459] Step 9:

[0460] After the climb is complete, the server collects and analyzes all the data. This allows us to plan and propose further safety measures for future climbs.

[0461] (Example 1)

[0462] 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."

[0463] The present invention aims to ensure the safety of mountain climbers by providing a system that effectively utilizes location information and weather information to consistently offer users safe climbing routes. In particular, there is a need for immediate response in emergencies and for more efficient route management to improve safety.

[0464] 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.

[0465] In this invention, the server includes a means for collecting geographic information, a means for evaluating the natural environment, and a means for providing safe route guidance. This enables users to receive real-time, accurate information-based instructions when climbing mountains, allowing them to climb safely.

[0466] "Geographic information collection means" refers to technology for acquiring a user's current location information and transmitting it to a server.

[0467] "Natural environment assessment methods" refer to technologies for acquiring and evaluating real-time weather data and environmental information in mountain climbing areas.

[0468] A "safe route guidance system" is a technology that presents users with the optimal and safest route based on acquired location and environmental information.

[0469] A "response mechanism" is a technology that enables the rapid issuance of emergency notifications and rescue instructions when danger is detected.

[0470] "Geographic data analysis methods" refer to technologies used to analyze geographical information of mountain climbing routes and identify areas that require maintenance.

[0471] "Notification means" refers to technology used to notify the nearest rescue organization of the user's location in the event of an emergency.

[0472] "Information processing means" refers to technologies that analyze information acquired after a mountain climb to improve safety measures for future climbs.

[0473] This invention is a system that comprehensively supports the safety of mountain climbers and aims to provide users with the most optimal and safe mountain climbing experience at all times. This system includes geographic information collection means, natural environment evaluation means, safe route guidance means, response means, geographic data analysis means, notification means, and information processing means.

[0474] First, the user enters their planned hiking route and dates via their device. The device continuously acquires the user's current location via GPS using geographic information gathering equipment and transmits this information to the server. The server acquires and analyzes weather conditions in real time using natural environment assessment equipment. Specifically, it obtains data from the Japan Meteorological Agency's API and other weather information providers.

[0475] Next, the server combines the acquired location information and weather information and performs data analysis using a generative AI model. This makes it possible to provide the user's device with the safest hiking route using a reliable route guidance system. For example, if a sudden weather change is detected, the server immediately calculates an evacuation route and notifies the device.

[0476] In the event of an emergency, the terminal automatically sends an SOS signal using its response mechanism. The server then notifies the nearest rescue organization of this information via its notification system and requests assistance. Additionally, the user's terminal displays instructions on how to respond to the emergency situation as it arises.

[0477] Furthermore, the server periodically analyzes geographic information along the hiking route using geographic data analysis tools. This allows the server to identify sections of the route that require maintenance, enabling trail managers to perform maintenance in advance.

[0478] As a concrete example, if a user is climbing a mountainous area and receives a forecast of heavy rain, the server will recalculate a safe route and guide the user to the new route. A generative AI model is used in this series of operations. This system can operate based on prompt messages such as the following:

[0479] Example of a prompt:

[0480] "My current location is latitude 35.3606 and longitude 138.7274. Please tell me the best evacuation route in case of a sudden change in weather."

[0481] In this way, the server and terminal work together to provide comprehensive and advanced support to climbers, thereby ensuring a safe climbing experience.

[0482] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0483] Step 1:

[0484] Users input their planned hiking route and itinerary using their device. This is done through the device application interface, and the user's planning information is sent to the server. The entered route and itinerary data is recorded by the server.

[0485] Step 2:

[0486] The device uses geographic information gathering means to obtain the user's current location via GPS. This location information is transmitted to the server in real time, and the server stores this information in a database. This data is used as foundational information to ensure the user's safety.

[0487] Step 3:

[0488] The server acquires weather data for mountain climbing areas using natural environment assessment tools. This includes a process of periodically collecting data from a weather information API. The acquired weather information is analyzed by the server and becomes the basis for evaluating current mountain climbing conditions.

[0489] Step 4:

[0490] The server uses a generative AI model to analyze location and weather information. Based on the input data, it calculates the optimal route using a safe route guidance system. For example, if the weather changes suddenly, the server immediately recalculates the evacuation route and sends it to the user's terminal. As output, the terminal is presented with the new route information.

[0491] Step 5:

[0492] In the event of an emergency, the terminal automatically transmits an SOS signal through its response mechanism. This signal is sent to a server and notified to emergency services using a notification system. Simultaneously, the server displays appropriate response instructions on the user's terminal. This enables rapid rescue operations.

[0493] Step 6:

[0494] The server periodically analyzes hiking routes using geographic data analysis tools. It processes the input geographic information and identifies areas where collapse or deterioration is predicted. This information is reported to hiking trail managers, improving the maintenance and upkeep of the routes. The output analysis results are used as preventative measures to provide users with a safe hiking environment.

[0495] (Application Example 1)

[0496] 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."

[0497] There is a problem in that travelers and tourists often find it difficult to visit their destinations safely and efficiently, avoid unexpected dangers and inconveniences, and enjoy the best possible travel experience. In particular, travelers need to be able to obtain appropriate information and respond quickly in complex urban environments and fluctuating weather conditions. Therefore, technological means that allow travelers to enjoy their trips with peace of mind are highly anticipated.

[0498] 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.

[0499] In this invention, the server includes means for acquiring location information, means for acquiring weather information, means for providing route guidance, and means for providing tourist information. This allows travelers to receive real-time guidance on safe routes based on their location and weather information, enabling safe movement within tourist areas. Furthermore, providing information about public facilities can enhance the travel experience.

[0500] "Location information acquisition means" refers to technology for identifying a traveler's current geographical location and collecting related data.

[0501] "Mechanisms for acquiring weather information" refer to technologies that detect changes in weather and the environment around a travel route and inform travelers of these changes.

[0502] "Route guidance means" refers to technology that provides travelers with the optimal travel route to reach their destination safely and efficiently.

[0503] "Emergency response measures" refer to techniques for providing quick and appropriate instructions or requesting rescue when travelers face unexpected danger.

[0504] "Geographic data analysis methods" refer to technologies that analyze geographical data of travel routes to identify areas that require maintenance.

[0505] "Tourism information provision methods" refer to technologies for providing travelers with real-time information about public facilities and tourist destinations.

[0506] "Notification means" refers to technology that transmits important information to the nearest support organizations and relevant parties based on the traveler's current location.

[0507] "Data analysis methods" refer to technologies that analyze data collected after a trip to propose safety measures and improvement plans for future trips.

[0508] This invention provides a system for travelers to safely and comfortably sightsee within cities. The system operates via an application installed on the user's smartphone or smart glasses. A server uses location information acquisition means to identify the traveler's current location and collects surrounding weather information in real time from weather information acquisition means. Based on this data, route guidance means calculates the optimal and safest travel route and presents it to the user.

[0509] Furthermore, the tourism information system provides real-time information related to public facilities and tourist destinations that users plan to visit. In the event of an emergency, the emergency response system automatically activates, and the server quickly notifies the nearest support organization. This allows users to enjoy their trip with peace of mind.

[0510] Furthermore, the geographic data analysis system analyzes travel route data to identify areas requiring future maintenance. After the trip, the data analysis system can be used to analyze the acquired data and propose improvements to safety measures for future trips to the user. In this way, the entire system aims to improve the safety and satisfaction of travelers.

[0511] For example, when a user visits a crowded tourist spot in a city, the program uses their location to display weather changes and current traffic conditions in real time, guiding them along a safe route. In emergencies, it can quickly request necessary assistance based on location information.

[0512] As an example of a prompt, the instructions for the generating AI model are provided in the form of, "Design an app that calculates a safe route for travelers to visit desired tourist spots while avoiding traffic jams, and guides them along that route."

[0513] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0514] Step 1:

[0515] The device obtains the user's current location using the location information acquisition method of the user's smartphone or smart glasses. Based on this location information, the device sends location data to the server. The input is the user's current coordinates, and the output is the location data sent to the server. Specifically, the device measures its location using GPS or built-in sensors.

[0516] Step 2:

[0517] The server uses the received location data to collect weather information for the area around the current location using weather information acquisition methods. The input is location data, and the output is local weather information. The server accesses a weather database and extracts real-time weather data.

[0518] Step 3:

[0519] The server calculates the optimal and safest travel route for the user using route guidance based on acquired location and weather information. The input is location and weather information, and the output is a safe travel route. An algorithm is used to calculate a route that takes weather and traffic conditions into account.

[0520] Step 4:

[0521] The terminal displays the optimal travel route received from the server to the user. The input is the optimal travel route, and the output is the route display on the user's visual interface. Specifically, the route is visualized through a map application.

[0522] Step 5:

[0523] If an emergency occurs while the user is on the move, they can activate emergency response measures from their device and send an emergency signal to the server. The input is the emergency signal sent by the user, and the output is the notification to the server. Specifically, pressing a button automatically sends a rescue request.

[0524] Step 6:

[0525] The server receives emergency signals and uses notification methods to quickly contact the nearest support organization. The input is an emergency signal, and the output is an alert to the support organization. The server utilizes its internal communication network system to quickly contact the necessary organizations.

[0526] Step 7:

[0527] The device collects data on travel routes and emergency response history, and generates improvement suggestions for future trips through data analysis. Inputs are route data and emergency response history, while output is improvement suggestions. Past records stored in the database are analyzed to extract areas for improvement.

[0528] 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.

[0529] This invention is a comprehensive support system for ensuring the safety of climbers and providing a comfortable climbing experience, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, means for geodata analysis, and an emotion engine that recognizes the user's emotions.

[0530] First, the user uses their device to input a detailed plan for their planned mountain climb. The device's location information acquisition function continuously transmits the user's current location to the server. Based on this, the server tracks the location in real time.

[0531] Next, the server collects the latest weather data using weather information acquisition methods. This allows the server to assess risks such as sudden weather changes and, if necessary, provide the terminal with optimal route guidance.

[0532] The emotion engine analyzes the user's biometric information and estimates their emotional state. Specifically, it determines whether the user is experiencing stress or anxiety based on factors such as heart rate, sweating, and changes in voice tone. Based on this information, psychological support tools suggest rest and psychological support to the user. Furthermore, route guidance and emergency response procedures are adjusted according to the emotional state, allowing the user to continue their climb with greater flexibility and peace of mind.

[0533] In the event of an emergency, an SOS signal is automatically sent from the user's device, and the server notifies the nearest rescue organization. Considering the user's emotional state, as determined by the emotion engine, the server provides appropriate assistance.

[0534] Furthermore, using geodata analysis of hiking routes, the server periodically checks the paths and anticipates necessary maintenance. This allows administrators to facilitate the maintenance and upkeep of hiking trails and ensure safety.

[0535] For example, if a user feels anxious while climbing a steep mountain, the emotion engine detects this state and the device displays recommended rest points to help them relax. This allows the user to reduce their mental burden and continue climbing safely.

[0536] Thus, the present invention aims to improve the overall mountaineering activity by simultaneously providing safety and psychological support for mountaineers.

[0537] The following describes the processing flow.

[0538] Step 1:

[0539] Users input their climbing plans using their devices. Specifically, they register the mountain they will climb, the planned route, departure time, and the number of participants in the app, and this information is sent to the server.

[0540] Step 2:

[0541] The server uses location information acquisition methods to determine the user's current location received from the terminal and continuously updates the location data. This location information enables real-time tracking.

[0542] Step 3:

[0543] The server uses weather information acquisition methods to obtain the latest weather data for the mountain climbing area. If sudden weather changes or dangerous weather conditions are predicted, the server assesses the risks in advance.

[0544] Step 4:

[0545] Based on location and weather information collected by the server, a safe and optimal route is calculated using route guidance. This information is transmitted to the terminal, and instructions are displayed to the user according to their current route.

[0546] Step 5:

[0547] The device's built-in emotion engine analyzes the user's biometric data (heart rate, voice tone, sweating amount, etc.) to determine their stress and anxiety levels.

[0548] Step 6:

[0549] The server receives information from the emotion engine and, based on the user's psychological state, notifies the terminal of rest points or suggestions for emotional support if necessary.

[0550] Step 7:

[0551] In the event of an emergency, the user sends an emergency signal using the device's SOS function. The device immediately sends data of the user's current location and emotional state to the server.

[0552] Step 8:

[0553] The server receives emergency notifications, contacts the nearest rescue services, and provides users with instructions on emergency evacuation routes and first aid. Emotional state information is used to optimize the response.

[0554] Step 9:

[0555] Using geodata analysis tools, the server periodically analyzes the geographical information of hiking routes and identifies sections that require maintenance. It then notifies hiking trail managers of the areas that need maintenance.

[0556] Step 10:

[0557] After the climb is complete, the server collects and analyzes all behavioral and emotional data. Based on the insights gained, it prepares to provide users with suggestions to create a safer and more comfortable environment for future climbs.

[0558] (Example 2)

[0559] 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."

[0560] In recent years, with the increase in mountain climbers, accidents and getting lost during climbs have become a problem. Many of these are caused by climbers pushing themselves too hard without accurately understanding their own physiological state, or by their inability to make appropriate judgments in response to rapidly changing weather conditions. Furthermore, conventional systems lack sufficient psychological support for climbers, compromising both safety and comfort. Therefore, a comprehensive system is needed that can provide safe and psychologically supportive conditions by simultaneously considering real-time location information, weather information, and the emotional state of climbers.

[0561] 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.

[0562] In this invention, the server includes an emotion estimation means, a location information acquisition means, and a weather information acquisition means. This makes it possible to evaluate the physiological state of climbers in real time and provide safe and psychologically less burdensome route guidance, thereby reducing the risk of accidents during climbing and supporting a comfortable experience for climbers.

[0563] "Emotion estimation methods" are technologies that use physiological data of climbers to evaluate their emotional state in real time, with the aim of reducing their psychological burden.

[0564] "Location information acquisition means" refers to a technology that accurately measures the current location of a climber and transmits it to the system to enable real-time location tracking.

[0565] "Methods for acquiring weather information" refers to technologies for collecting weather data about the climber's current location and the area around their destination, and for evaluating the risk of sudden changes in weather.

[0566] "Route guidance means" refers to technology that provides hikers with the safest and least psychologically stressful optimal route based on acquired location information, weather information, and emotion estimation results.

[0567] "Emergency response measures" are technologies aimed at quickly issuing necessary notifications and rescue instructions when danger is detected during mountain climbing.

[0568] "Geographic information analysis means" refers to technology that enables the analysis of the condition of mountain climbing routes and the identification of areas requiring maintenance.

[0569] "Notification methods" refer to technologies that allow climbers to quickly contact the nearest rescue organization based on their location and emotional state in the event of an emergency.

[0570] "Data analysis methods" refer to techniques that analyze physiological and environmental data acquired after a mountain climb to propose improvements in safety and psychological support for future climbs.

[0571] This system is designed to help climbers climb safely and comfortably. The system consists of a server, terminals, and users.

[0572] The server plays a central role in integrating and analyzing various data. It uses emotion estimation methods to capture the user's physiological data and analyze their psychological state. Specifically, data such as heart rate and sweating are used, acquired using the device's sensors (e.g., biofeedback devices). The server also utilizes GPS data transmitted from the device via location information acquisition methods to constantly track the user's precise location. Furthermore, it uses weather information acquisition methods to obtain the latest weather information from weather data providers via the internet. This information includes current weather conditions and forecasts.

[0573] The terminal transmits the user's physiological state and environmental information to the server, and also displays instructions and information sent from the server to the user. The terminal is equipped with a heart rate sensor and a GPS device to collect data in real time. It also provides a user interface for inputting climbing plans, receiving route guidance, and providing instructions for emergency response.

[0574] Users begin using the system by entering their climbing plan into a terminal. They can specify the dates, destination, and necessary service options. Based on the entered information, the system provides support with maximum consideration for safety during the climb.

[0575] For example, if a user experiences psychological anxiety while climbing a steep mountain, the emotion estimation system can detect this state, and the device can display appropriate psychological support messages and recommended rest points. Furthermore, if the weather changes suddenly, the weather information acquisition system can immediately notify the user of the updated weather forecast and guide them back to the optimal route.

[0576] An example of a prompt for a generative AI model is, "Please explain in detail how this mountain climbing support system provides psychological support to climbers."

[0577] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0578] Step 1:

[0579] The user enters their climbing plan using a terminal. This includes the climbing date, destination, and start time. The terminal then prepares to send this information to the server. This allows the system to understand the user's specific action plan and prepare for the next data processing step.

[0580] Step 2:

[0581] The device uses a location acquisition method to obtain the user's current location from GPS. This data is transmitted to the server in real time, allowing the user's location to be constantly tracked. The server uses this location information to map the user's travel route. When the information arrives at the server, it is cross-referenced with a map database, and hiking route information is generated.

[0582] Step 3:

[0583] The server uses weather information acquisition methods to retrieve current weather data from a weather data provision service. Based on the user's current location, it queries for the latest weather information for the corresponding area. The acquired data is used for analysis to assess the risk of sudden weather changes. As output, a safety assessment is performed for the next route guidance.

[0584] Step 4:

[0585] The server calculates the optimal route based on location information, weather information, and a pre-configured route guidance algorithm. The resulting information includes the newly calculated route, warnings about significant weather changes, and recommended rest stops. This information is sent to the terminal and displayed on the user's screen.

[0586] Step 5:

[0587] The device uses emotion estimation to collect the user's physiological data (heart rate, skin electrical response, etc.). This input data is sent to the server in real time. The server runs an emotion engine to estimate the user's psychological state. Based on the results, if psychological support is deemed necessary, the server generates support messages and rest suggestions and sends them to the device. If the device determines that the user is experiencing stress, it will display a message such as, "Your current heart rate is elevated. Please take a break at the next safe point."

[0588] Step 6:

[0589] In the event of an emergency, the user uses their device to send an SOS signal. The device sends this emergency signal to a server. The server constructs a notification based on the user's current location and emotional state, and sends an emergency notification to the nearest rescue organization. This notification includes detailed location information of the user and data on their psychological state derived from emotion estimation.

[0590] Step 7:

[0591] The server uses geographic information analysis tools to analyze the geodata of hiking routes. This includes cross-referencing with map databases and checking gradients and trail conditions. The analysis results are used to notify administrators of maintenance needs and are reflected in the next scheduled maintenance plan. The output identifies sections of the hiking trail that require attention and determines maintenance priorities.

[0592] (Application Example 2)

[0593] 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."

[0594] Ensuring safe and comfortable mobility in urban environments is crucial for improving the experience of visitors and residents. However, responding quickly to sudden weather changes, getting lost in crowded tourist areas, and the stress and anxiety experienced by individual users presents challenges. Therefore, a system that can integrate psychological support and dynamic route guidance is needed.

[0595] 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.

[0596] In this invention, the server includes location information acquisition means for obtaining the user's current location information, weather information acquisition means for evaluating environmental conditions, and emotion recognition means for estimating the user's emotional state and providing psychological support. This enables users to move around safely in urban environments and enjoy psychologically comfortable visits.

[0597] "Location information acquisition means" refers to technology equipped with the function of accurately measuring and recording the user's location data.

[0598] "Mechanisms for acquiring weather information" refer to technologies for collecting and analyzing current and future weather conditions.

[0599] "Route guidance systems" are technologies aimed at presenting users with safe and efficient routes.

[0600] "Emergency response measures" are technologies for providing rapid and appropriate notification and support in the event of an emergency.

[0601] "Geodata analysis methods" are technologies that process geographic data to identify routes for maintenance and necessary improvements.

[0602] "Emotion recognition tools" are technologies used to estimate a user's psychological state and provide appropriate psychological support.

[0603] "Urban visit support means" are technologies that support transportation and sightseeing in urban areas and promote a comfortable experience for visitors.

[0604] This invention provides a system for realizing safe and comfortable mobility in urban environments. The system consists of a server and terminals held by users.

[0605] The server uses location information acquisition methods to accurately determine the user's current location. Specifically, it utilizes the GPS function of smartphones and smart glasses to acquire the user's geographic coordinates in real time. This allows for constant monitoring of the user's dynamic location.

[0606] Furthermore, as a means of obtaining weather information, the system utilizes API services (such as OpenWeatherMap) to acquire and analyze current and predicted weather data. Based on this information, the server provides users with optimal route guidance and encourages them to take actions appropriate to their environment.

[0607] The emotion recognition system utilizes sensors (such as heart rate sensors and voice input devices) installed in the device to collect the user's biometric information. This data is analyzed using machine learning models, such as TensorFlow, to estimate the user's psychological state. Based on this estimation, the device suggests relaxation methods and resting places if psychological support is needed.

[0608] Urban travel support systems guide users to the most suitable urban routes and destinations based on their current situation and emotional state, thereby reducing the stress of sightseeing and travel.

[0609] As a concrete example, suppose a user visiting a tourist spot in a city feels anxious due to a sudden change in weather. The server analyzes the weather information and the user's emotional state, and guides the user to a nearby safe and comfortable evacuation site. The terminal also suggests relaxation music to alleviate the user's mental tension.

[0610] An example of a prompt message for the generating AI model would be, "I am currently in a tourist area in a city, but I am feeling anxious due to the sudden rain and cold. Please tell me how I can feel safe here." By inputting this, the AI ​​can provide appropriate guidance and support.

[0611] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0612] Step 1:

[0613] The server receives the user's current location data through the terminal's location information acquisition mechanism. Using this location information as input, the server stores the location information in a database in real time, allowing it to constantly monitor the user's movements.

[0614] Step 2:

[0615] The server obtains current and forecast weather data using weather information acquisition methods. Weather data is collected via an API service, analyzed on the server side as input, and the weather conditions necessary for safe route guidance are extracted. This prepares the system to provide information that can be used to ensure the safe travel of users.

[0616] Step 3:

[0617] The device uses its built-in heart rate sensor and voice input device to acquire the user's biometric information. This information is sent from the device to a server, where emotional analysis is performed through emotion recognition. From this data, the user's stress levels and sense of security are estimated, and the need for psychological support is determined.

[0618] Step 4:

[0619] Based on the data analysis results from the previous step, the server generates optimal route guidance and psychological support tailored to the user's current location and emotional state. Here, a generation AI model is used to automatically construct relaxation method recommendations and route guidance. Presenting this output to the user provides a comfortable environment.

[0620] Step 5:

[0621] Based on the emotional state obtained from the device, the server generates a prompt message that matches that state and sends the generated guidance and psychological support content to the device. This allows users to explore the urban environment psychologically and safely.

[0622] 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.

[0623] 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.

[0624] 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.

[0625] [Fourth Embodiment]

[0626] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0627] 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.

[0628] 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).

[0629] 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.

[0630] 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.

[0631] 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).

[0632] 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.

[0633] 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.

[0634] 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.

[0635] 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.

[0636] 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.

[0637] 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.

[0638] 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".

[0639] This invention is a comprehensive support system for ensuring the safety of climbers, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, and means for geodata analysis.

[0640] First, the user enters their planned hiking route and dates using their device. The device's location information function activates, and the user's current location is constantly transmitted to the server. In addition, real-time weather data for the hiking area is obtained by the server using weather information acquisition methods.

[0641] Based on this data, the server uses route guidance to present the user's device with the most optimal and safe route. For example, if the weather suddenly changes, the server can recalculate the evacuation route based on the user's location and quickly notify the device of the change.

[0642] In an emergency, the device automatically sends an SOS signal, and the server notifies the nearest rescue organization via emergency response measures. The user is then provided with necessary response procedures and first aid information through the device.

[0643] Furthermore, using geodata analysis tools, the server periodically analyzes the geodata of hiking routes to identify areas where collapse or deterioration is predicted. This allows hiking trail managers to proactively carry out maintenance and improve safety.

[0644] As a concrete example, if a user is climbing in a mountainous area and receives a forecast of heavy rain from a weather information acquisition device, the server will quickly process a new safe route and guide the user to a lower elevation location suitable for evacuation. In this way, the present invention integrates and comprehensively supports climbers' preparations, ensuring safety during the climb, and emergency response.

[0645] The following describes the processing flow.

[0646] Step 1:

[0647] The user enters their climbing plan using their device. They register the mountain to be climbed, the route, the planned date and time, and the number of participants in the application, and this information is sent to the server.

[0648] Step 2:

[0649] The server uses location information acquisition methods to periodically and automatically receive the device's current location information. This ensures that the user's real-time location data is constantly updated.

[0650] Step 3:

[0651] The server retrieves the latest weather data from weather information acquisition methods. In particular, it acquires weather information specific to mountain climbing areas and analyzes risks such as sudden changes in weather.

[0652] Step 4:

[0653] The server uses route guidance to calculate a safe and optimal route and sends it to the terminal. Considering the user's current location and weather information, the server displays recommended route changes and important points on the terminal.

[0654] Step 5:

[0655] The device notifies the user and clearly displays route guidance and warnings sent from the server. In some cases, it may use voice notifications or vibrations to alert the user.

[0656] Step 6:

[0657] In the event of an emergency, the user presses the SOS button on their device. The device then quickly sends that information to the server.

[0658] Step 7:

[0659] The server receives an emergency notification and informs rescue agencies of the user's current location and the nature of the emergency. It also sends evacuation instructions and first aid guides to the device.

[0660] Step 8:

[0661] Using geodata analysis techniques, the server analyzes geographical information of hiking routes. It identifies areas where deterioration or abnormalities are predicted and notifies administrators, recommending maintenance.

[0662] Step 9:

[0663] After the climb is complete, the server collects and analyzes all the data. This allows us to plan and propose further safety measures for future climbs.

[0664] (Example 1)

[0665] 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".

[0666] The present invention aims to ensure the safety of mountain climbers by providing a system that effectively utilizes location information and weather information to consistently offer users safe climbing routes. In particular, there is a need for immediate response in emergencies and for more efficient route management to improve safety.

[0667] 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.

[0668] In this invention, the server includes a means for collecting geographic information, a means for evaluating the natural environment, and a means for providing safe route guidance. This enables users to receive real-time, accurate information-based instructions when climbing mountains, allowing them to climb safely.

[0669] "Geographic information collection means" refers to technology for acquiring a user's current location information and transmitting it to a server.

[0670] "Natural environment assessment methods" refer to technologies for acquiring and evaluating real-time weather data and environmental information in mountain climbing areas.

[0671] A "safe route guidance system" is a technology that presents users with the optimal and safest route based on acquired location and environmental information.

[0672] A "response mechanism" is a technology that enables the rapid issuance of emergency notifications and rescue instructions when danger is detected.

[0673] "Geographic data analysis methods" refer to technologies used to analyze geographical information of mountain climbing routes and identify areas that require maintenance.

[0674] "Notification means" refers to technology used to notify the nearest rescue organization of the user's location in the event of an emergency.

[0675] "Information processing means" refers to technologies that analyze information acquired after a mountain climb to improve safety measures for future climbs.

[0676] This invention is a system that comprehensively supports the safety of mountain climbers and aims to provide users with the most optimal and safe mountain climbing experience at all times. This system includes geographic information collection means, natural environment evaluation means, safe route guidance means, response means, geographic data analysis means, notification means, and information processing means.

[0677] First, the user enters their planned hiking route and dates via their device. The device continuously acquires the user's current location via GPS using geographic information gathering equipment and transmits this information to the server. The server acquires and analyzes weather conditions in real time using natural environment assessment equipment. Specifically, it obtains data from the Japan Meteorological Agency's API and other weather information providers.

[0678] Next, the server combines the acquired location information and weather information and performs data analysis using a generative AI model. This makes it possible to provide the user's device with the safest hiking route using a reliable route guidance system. For example, if a sudden weather change is detected, the server immediately calculates an evacuation route and notifies the device.

[0679] In the event of an emergency, the terminal automatically sends an SOS signal using its response mechanism. The server then notifies the nearest rescue organization of this information via its notification system and requests assistance. Additionally, the user's terminal displays instructions on how to respond to the emergency situation as it arises.

[0680] Furthermore, the server periodically analyzes geographic information along the hiking route using geographic data analysis tools. This allows the server to identify sections of the route that require maintenance, enabling trail managers to perform maintenance in advance.

[0681] As a concrete example, if a user is climbing a mountainous area and receives a forecast of heavy rain, the server will recalculate a safe route and guide the user to the new route. A generative AI model is used in this series of operations. This system can operate based on prompt messages such as the following:

[0682] Example of a prompt:

[0683] "My current location is latitude 35.3606 and longitude 138.7274. Please tell me the best evacuation route in case of a sudden change in weather."

[0684] In this way, the server and terminal work together to provide comprehensive and advanced support to climbers, thereby ensuring a safe climbing experience.

[0685] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0686] Step 1:

[0687] Users input their planned hiking route and itinerary using their device. This is done through the device application interface, and the user's planning information is sent to the server. The entered route and itinerary data is recorded by the server.

[0688] Step 2:

[0689] The device uses geographic information gathering means to obtain the user's current location via GPS. This location information is transmitted to the server in real time, and the server stores this information in a database. This data is used as foundational information to ensure the user's safety.

[0690] Step 3:

[0691] The server acquires weather data for mountain climbing areas using natural environment assessment tools. This includes a process of periodically collecting data from a weather information API. The acquired weather information is analyzed by the server and becomes the basis for evaluating current mountain climbing conditions.

[0692] Step 4:

[0693] The server uses a generative AI model to analyze location and weather information. Based on the input data, it calculates the optimal route using a safe route guidance system. For example, if the weather changes suddenly, the server immediately recalculates the evacuation route and sends it to the user's terminal. As output, the terminal is presented with the new route information.

[0694] Step 5:

[0695] In the event of an emergency, the terminal automatically transmits an SOS signal through its response mechanism. This signal is sent to a server and notified to emergency services using a notification system. Simultaneously, the server displays appropriate response instructions on the user's terminal. This enables rapid rescue operations.

[0696] Step 6:

[0697] The server periodically analyzes hiking routes using geographic data analysis tools. It processes the input geographic information and identifies areas where collapse or deterioration is predicted. This information is reported to hiking trail managers, improving the maintenance and upkeep of the routes. The output analysis results are used as preventative measures to provide users with a safe hiking environment.

[0698] (Application Example 1)

[0699] 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".

[0700] There is a problem in that travelers and tourists often find it difficult to visit their destinations safely and efficiently, avoid unexpected dangers and inconveniences, and enjoy the best possible travel experience. In particular, travelers need to be able to obtain appropriate information and respond quickly in complex urban environments and fluctuating weather conditions. Therefore, technological means that allow travelers to enjoy their trips with peace of mind are highly anticipated.

[0701] 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.

[0702] In this invention, the server includes means for acquiring location information, means for acquiring weather information, means for providing route guidance, and means for providing tourist information. This allows travelers to receive real-time guidance on safe routes based on their location and weather information, enabling safe movement within tourist areas. Furthermore, providing information about public facilities can enhance the travel experience.

[0703] "Location information acquisition means" refers to technology for identifying a traveler's current geographical location and collecting related data.

[0704] "Mechanisms for acquiring weather information" refer to technologies that detect changes in weather and the environment around a travel route and inform travelers of these changes.

[0705] "Route guidance means" refers to technology that provides travelers with the optimal travel route to reach their destination safely and efficiently.

[0706] "Emergency response measures" refer to techniques for providing quick and appropriate instructions or requesting rescue when travelers face unexpected danger.

[0707] "Geographic data analysis methods" refer to technologies that analyze geographical data of travel routes to identify areas that require maintenance.

[0708] "Tourism information provision methods" refer to technologies for providing travelers with real-time information about public facilities and tourist destinations.

[0709] "Notification means" refers to technology that transmits important information to the nearest support organizations and relevant parties based on the traveler's current location.

[0710] "Data analysis methods" refer to technologies that analyze data collected after a trip to propose safety measures and improvement plans for future trips.

[0711] This invention provides a system for travelers to safely and comfortably sightsee within cities. The system operates via an application installed on the user's smartphone or smart glasses. A server uses location information acquisition means to identify the traveler's current location and collects surrounding weather information in real time from weather information acquisition means. Based on this data, route guidance means calculates the optimal and safest travel route and presents it to the user.

[0712] Furthermore, the tourism information system provides real-time information related to public facilities and tourist destinations that users plan to visit. In the event of an emergency, the emergency response system automatically activates, and the server quickly notifies the nearest support organization. This allows users to enjoy their trip with peace of mind.

[0713] Furthermore, the geographic data analysis system analyzes travel route data to identify areas requiring future maintenance. After the trip, the data analysis system can be used to analyze the acquired data and propose improvements to safety measures for future trips to the user. In this way, the entire system aims to improve the safety and satisfaction of travelers.

[0714] For example, when a user visits a crowded tourist spot in a city, the program uses their location to display weather changes and current traffic conditions in real time, guiding them along a safe route. In emergencies, it can quickly request necessary assistance based on location information.

[0715] As an example of a prompt, the instructions for the generating AI model are provided in the form of, "Design an app that calculates a safe route for travelers to visit desired tourist spots while avoiding traffic jams, and guides them along that route."

[0716] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0717] Step 1:

[0718] The device obtains the user's current location using the location information acquisition method of the user's smartphone or smart glasses. Based on this location information, the device sends location data to the server. The input is the user's current coordinates, and the output is the location data sent to the server. Specifically, the device measures its location using GPS or built-in sensors.

[0719] Step 2:

[0720] The server uses the received location data to collect weather information for the area around the current location using weather information acquisition methods. The input is location data, and the output is local weather information. The server accesses a weather database and extracts real-time weather data.

[0721] Step 3:

[0722] The server calculates the optimal and safest travel route for the user using route guidance based on acquired location and weather information. The input is location and weather information, and the output is a safe travel route. An algorithm is used to calculate a route that takes weather and traffic conditions into account.

[0723] Step 4:

[0724] The terminal displays the optimal travel route received from the server to the user. The input is the optimal travel route, and the output is the route display on the user's visual interface. Specifically, the route is visualized through a map application.

[0725] Step 5:

[0726] If an emergency occurs while the user is on the move, they can activate emergency response measures from their device and send an emergency signal to the server. The input is the emergency signal sent by the user, and the output is the notification to the server. Specifically, pressing a button automatically sends a rescue request.

[0727] Step 6:

[0728] The server receives emergency signals and uses notification methods to quickly contact the nearest support organization. The input is an emergency signal, and the output is an alert to the support organization. The server utilizes its internal communication network system to quickly contact the necessary organizations.

[0729] Step 7:

[0730] The device collects data on travel routes and emergency response history, and generates improvement suggestions for future trips through data analysis. Inputs are route data and emergency response history, while output is improvement suggestions. Past records stored in the database are analyzed to extract areas for improvement.

[0731] 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.

[0732] This invention is a comprehensive support system for ensuring the safety of climbers and providing a comfortable climbing experience, and includes means for acquiring location information, means for acquiring weather information, means for route guidance, means for emergency response, means for geodata analysis, and an emotion engine that recognizes the user's emotions.

[0733] First, the user uses their device to input a detailed plan for their planned mountain climb. The device's location information acquisition function continuously transmits the user's current location to the server. Based on this, the server tracks the location in real time.

[0734] Next, the server collects the latest weather data using weather information acquisition methods. This allows the server to assess risks such as sudden weather changes and, if necessary, provide the terminal with optimal route guidance.

[0735] The emotion engine analyzes the user's biometric information and estimates their emotional state. Specifically, it determines whether the user is experiencing stress or anxiety based on factors such as heart rate, sweating, and changes in voice tone. Based on this information, psychological support tools suggest rest and psychological support to the user. Furthermore, route guidance and emergency response procedures are adjusted according to the emotional state, allowing the user to continue their climb with greater flexibility and peace of mind.

[0736] In the event of an emergency, an SOS signal is automatically sent from the user's device, and the server notifies the nearest rescue organization. Considering the user's emotional state, as determined by the emotion engine, the server provides appropriate assistance.

[0737] Furthermore, using geodata analysis of hiking routes, the server periodically checks the paths and anticipates necessary maintenance. This allows administrators to facilitate the maintenance and upkeep of hiking trails and ensure safety.

[0738] For example, if a user feels anxious while climbing a steep mountain, the emotion engine detects this state and the device displays recommended rest points to help them relax. This allows the user to reduce their mental burden and continue climbing safely.

[0739] Thus, the present invention aims to improve the overall mountaineering activity by simultaneously providing safety and psychological support for mountaineers.

[0740] The following describes the processing flow.

[0741] Step 1:

[0742] Users input their climbing plans using their devices. Specifically, they register the mountain they will climb, the planned route, departure time, and the number of participants in the app, and this information is sent to the server.

[0743] Step 2:

[0744] The server uses location information acquisition methods to determine the user's current location received from the terminal and continuously updates the location data. This location information enables real-time tracking.

[0745] Step 3:

[0746] The server uses weather information acquisition methods to obtain the latest weather data for the mountain climbing area. If sudden weather changes or dangerous weather conditions are predicted, the server assesses the risks in advance.

[0747] Step 4:

[0748] Based on location and weather information collected by the server, a safe and optimal route is calculated using route guidance. This information is transmitted to the terminal, and instructions are displayed to the user according to their current route.

[0749] Step 5:

[0750] The device's built-in emotion engine analyzes the user's biometric data (heart rate, voice tone, sweating amount, etc.) to determine their stress and anxiety levels.

[0751] Step 6:

[0752] The server receives information from the emotion engine and, based on the user's psychological state, notifies the terminal of rest points or suggestions for emotional support if necessary.

[0753] Step 7:

[0754] In the event of an emergency, the user sends an emergency signal using the device's SOS function. The device immediately sends data of the user's current location and emotional state to the server.

[0755] Step 8:

[0756] The server receives emergency notifications, contacts the nearest rescue services, and provides users with instructions on emergency evacuation routes and first aid. Emotional state information is used to optimize the response.

[0757] Step 9:

[0758] Using geodata analysis tools, the server periodically analyzes the geographical information of hiking routes and identifies sections that require maintenance. It then notifies hiking trail managers of the areas that need maintenance.

[0759] Step 10:

[0760] After the climb is complete, the server collects and analyzes all behavioral and emotional data. Based on the insights gained, it prepares to provide users with suggestions to create a safer and more comfortable environment for future climbs.

[0761] (Example 2)

[0762] 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".

[0763] In recent years, with the increase in mountain climbers, accidents and getting lost during climbs have become a problem. Many of these are caused by climbers pushing themselves too hard without accurately understanding their own physiological state, or by their inability to make appropriate judgments in response to rapidly changing weather conditions. Furthermore, conventional systems lack sufficient psychological support for climbers, compromising both safety and comfort. Therefore, a comprehensive system is needed that can provide safe and psychologically supportive conditions by simultaneously considering real-time location information, weather information, and the emotional state of climbers.

[0764] 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.

[0765] In this invention, the server includes an emotion estimation means, a location information acquisition means, and a weather information acquisition means. This makes it possible to evaluate the physiological state of climbers in real time and provide safe and psychologically less burdensome route guidance, thereby reducing the risk of accidents during climbing and supporting a comfortable experience for climbers.

[0766] "Emotion estimation methods" are technologies that use physiological data of climbers to evaluate their emotional state in real time, with the aim of reducing their psychological burden.

[0767] "Location information acquisition means" refers to a technology that accurately measures the current location of a climber and transmits it to the system to enable real-time location tracking.

[0768] "Methods for acquiring weather information" refers to technologies for collecting weather data about the climber's current location and the area around their destination, and for evaluating the risk of sudden changes in weather.

[0769] "Route guidance means" refers to technology that provides hikers with the safest and least psychologically stressful optimal route based on acquired location information, weather information, and emotion estimation results.

[0770] "Emergency response measures" are technologies aimed at quickly issuing necessary notifications and rescue instructions when danger is detected during mountain climbing.

[0771] "Geographic information analysis means" refers to technology that enables the analysis of the condition of mountain climbing routes and the identification of areas requiring maintenance.

[0772] "Notification methods" refer to technologies that allow climbers to quickly contact the nearest rescue organization based on their location and emotional state in the event of an emergency.

[0773] "Data analysis methods" refer to techniques that analyze physiological and environmental data acquired after a mountain climb to propose improvements in safety and psychological support for future climbs.

[0774] This system is designed to help climbers climb safely and comfortably. The system consists of a server, terminals, and users.

[0775] The server plays a central role in integrating and analyzing various data. It uses emotion estimation methods to capture the user's physiological data and analyze their psychological state. Specifically, data such as heart rate and sweating are used, acquired using the device's sensors (e.g., biofeedback devices). The server also utilizes GPS data transmitted from the device via location information acquisition methods to constantly track the user's precise location. Furthermore, it uses weather information acquisition methods to obtain the latest weather information from weather data providers via the internet. This information includes current weather conditions and forecasts.

[0776] The terminal transmits the user's physiological state and environmental information to the server, and also displays instructions and information sent from the server to the user. The terminal is equipped with a heart rate sensor and a GPS device to collect data in real time. It also provides a user interface for inputting climbing plans, receiving route guidance, and providing instructions for emergency response.

[0777] Users begin using the system by entering their climbing plan into a terminal. They can specify the dates, destination, and necessary service options. Based on the entered information, the system provides support with maximum consideration for safety during the climb.

[0778] For example, if a user experiences psychological anxiety while climbing a steep mountain, the emotion estimation system can detect this state, and the device can display appropriate psychological support messages and recommended rest points. Furthermore, if the weather changes suddenly, the weather information acquisition system can immediately notify the user of the updated weather forecast and guide them back to the optimal route.

[0779] An example of a prompt for a generative AI model is, "Please explain in detail how this mountain climbing support system provides psychological support to climbers."

[0780] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0781] Step 1:

[0782] The user enters their climbing plan using a terminal. This includes the climbing date, destination, and start time. The terminal then prepares to send this information to the server. This allows the system to understand the user's specific action plan and prepare for the next data processing step.

[0783] Step 2:

[0784] The device uses a location acquisition method to obtain the user's current location from GPS. This data is transmitted to the server in real time, allowing the user's location to be constantly tracked. The server uses this location information to map the user's travel route. When the information arrives at the server, it is cross-referenced with a map database, and hiking route information is generated.

[0785] Step 3:

[0786] The server uses weather information acquisition methods to retrieve current weather data from a weather data provision service. Based on the user's current location, it queries for the latest weather information for the corresponding area. The acquired data is used for analysis to assess the risk of sudden weather changes. As output, a safety assessment is performed for the next route guidance.

[0787] Step 4:

[0788] The server calculates the optimal route based on location information, weather information, and a pre-configured route guidance algorithm. The resulting information includes the newly calculated route, warnings about significant weather changes, and recommended rest stops. This information is sent to the terminal and displayed on the user's screen.

[0789] Step 5:

[0790] The device uses emotion estimation to collect the user's physiological data (heart rate, skin electrical response, etc.). This input data is sent to the server in real time. The server runs an emotion engine to estimate the user's psychological state. Based on the results, if psychological support is deemed necessary, the server generates support messages and rest suggestions and sends them to the device. If the device determines that the user is experiencing stress, it will display a message such as, "Your current heart rate is elevated. Please take a break at the next safe point."

[0791] Step 6:

[0792] In the event of an emergency, the user uses their device to send an SOS signal. The device sends this emergency signal to a server. The server constructs a notification based on the user's current location and emotional state, and sends an emergency notification to the nearest rescue organization. This notification includes detailed location information of the user and data on their psychological state derived from emotion estimation.

[0793] Step 7:

[0794] The server uses geographic information analysis tools to analyze the geodata of hiking routes. This includes cross-referencing with map databases and checking gradients and trail conditions. The analysis results are used to notify administrators of maintenance needs and are reflected in the next scheduled maintenance plan. The output identifies sections of the hiking trail that require attention and determines maintenance priorities.

[0795] (Application Example 2)

[0796] 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".

[0797] Ensuring safe and comfortable mobility in urban environments is crucial for improving the experience of visitors and residents. However, responding quickly to sudden weather changes, getting lost in crowded tourist areas, and the stress and anxiety experienced by individual users presents challenges. Therefore, a system that can integrate psychological support and dynamic route guidance is needed.

[0798] 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.

[0799] In this invention, the server includes location information acquisition means for obtaining the user's current location information, weather information acquisition means for evaluating environmental conditions, and emotion recognition means for estimating the user's emotional state and providing psychological support. This enables users to move around safely in urban environments and enjoy psychologically comfortable visits.

[0800] "Location information acquisition means" refers to technology equipped with the function of accurately measuring and recording the user's location data.

[0801] "Mechanisms for acquiring weather information" refer to technologies for collecting and analyzing current and future weather conditions.

[0802] "Route guidance systems" are technologies aimed at presenting users with safe and efficient routes.

[0803] "Emergency response measures" are technologies for providing rapid and appropriate notification and support in the event of an emergency.

[0804] "Geodata analysis methods" are technologies that process geographic data to identify routes for maintenance and necessary improvements.

[0805] "Emotion recognition tools" are technologies used to estimate a user's psychological state and provide appropriate psychological support.

[0806] "Urban visit support means" are technologies that support transportation and sightseeing in urban areas and promote a comfortable experience for visitors.

[0807] This invention provides a system for realizing safe and comfortable mobility in urban environments. The system consists of a server and terminals held by users.

[0808] The server uses location information acquisition methods to accurately determine the user's current location. Specifically, it utilizes the GPS function of smartphones and smart glasses to acquire the user's geographic coordinates in real time. This allows for constant monitoring of the user's dynamic location.

[0809] Furthermore, as a means of obtaining weather information, the system utilizes API services (such as OpenWeatherMap) to acquire and analyze current and predicted weather data. Based on this information, the server provides users with optimal route guidance and encourages them to take actions appropriate to their environment.

[0810] The emotion recognition system utilizes sensors (such as heart rate sensors and voice input devices) installed in the device to collect the user's biometric information. This data is analyzed using machine learning models, such as TensorFlow, to estimate the user's psychological state. Based on this estimation, the device suggests relaxation methods and resting places if psychological support is needed.

[0811] Urban travel support systems guide users to the most suitable urban routes and destinations based on their current situation and emotional state, thereby reducing the stress of sightseeing and travel.

[0812] As a concrete example, suppose a user visiting a tourist spot in a city feels anxious due to a sudden change in weather. The server analyzes the weather information and the user's emotional state, and guides the user to a nearby safe and comfortable evacuation site. The terminal also suggests relaxation music to alleviate the user's mental tension.

[0813] An example of a prompt message for the generating AI model would be, "I am currently in a tourist area in a city, but I am feeling anxious due to the sudden rain and cold. Please tell me how I can feel safe here." By inputting this, the AI ​​can provide appropriate guidance and support.

[0814] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0815] Step 1:

[0816] The server receives the user's current location data through the terminal's location information acquisition mechanism. Using this location information as input, the server stores the location information in a database in real time, allowing it to constantly monitor the user's movements.

[0817] Step 2:

[0818] The server obtains current and forecast weather data using weather information acquisition methods. Weather data is collected via an API service, analyzed on the server side as input, and the weather conditions necessary for safe route guidance are extracted. This prepares the system to provide information that can be used to ensure the safe travel of users.

[0819] Step 3:

[0820] The device uses its built-in heart rate sensor and voice input device to acquire the user's biometric information. This information is sent from the device to a server, where emotional analysis is performed through emotion recognition. From this data, the user's stress levels and sense of security are estimated, and the need for psychological support is determined.

[0821] Step 4:

[0822] Based on the data analysis results from the previous step, the server generates optimal route guidance and psychological support tailored to the user's current location and emotional state. Here, a generation AI model is used to automatically construct relaxation method recommendations and route guidance. Presenting this output to the user provides a comfortable environment.

[0823] Step 5:

[0824] Based on the emotional state obtained from the device, the server generates a prompt message that matches that state and sends the generated guidance and psychological support content to the device. This allows users to explore the urban environment psychologically and safely.

[0825] 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.

[0826] 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.

[0827] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] The inside of the Emotion Map 400 represents what's in your mind, while the outside represents what you're doing. Therefore, the further you go out the 400-coordinate scale, the more visible your emotions become (the more they manifest in your actions).

[0832] 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.

[0833] 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."

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] 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.

[0839] 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.

[0840] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] The following is further disclosed regarding the embodiments described above.

[0847] (Claim 1)

[0848] A means of acquiring location information to obtain the current location information of a climber,

[0849] A means of acquiring weather information for evaluating environmental conditions,

[0850] Based on acquired location and weather information, a route guidance system is provided to offer safe mountain climbing routes.

[0851] Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected,

[0852] A geodata analysis method for identifying areas on mountain trails that require maintenance,

[0853] A system that includes this.

[0854] (Claim 2)

[0855] The system according to claim 1, further comprising a notification means for notifying the nearest rescue organization based on location information in the event that a climber gets into trouble.

[0856] (Claim 3)

[0857] The system according to claim 1, further comprising a data analysis means for analyzing data acquired after a mountain climb and proposing improved safety measures for future mountain climbs.

[0858] "Example 1"

[0859] (Claim 1)

[0860] A geographic information collection method for collecting information about the user's current location,

[0861] Information gathering methods for evaluating the natural environment,

[0862] Based on acquired geographic and natural environment information, a guidance system is provided to offer safe routes.

[0863] A means of response for issuing emergency notifications and appropriate rescue instructions when danger is detected,

[0864] A geographic data analysis method for identifying locations that require maintenance of routes,

[0865] A system that includes this.

[0866] (Claim 2)

[0867] The system according to claim 1, further comprising a notification means for notifying the nearest rescue organization based on geographical information when a user is in a dangerous situation.

[0868] (Claim 3)

[0869] The system according to claim 1, further comprising information processing means for processing information acquired after a mountain climb and for improving safety measures for future climbs.

[0870] "Application Example 1"

[0871] (Claim 1)

[0872] A means for obtaining the current location information of travelers,

[0873] A means of acquiring weather information for evaluating environmental conditions,

[0874] A route guidance means for providing a safe travel route based on acquired location information and weather information,

[0875] Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected,

[0876] A geographic data analysis method for identifying locations that require maintenance and upkeep of travel routes,

[0877] A means of providing tourist information to display information within public facilities in real time,

[0878] A system that includes this.

[0879] (Claim 2)

[0880] The system according to claim 1, further comprising a notification means for notifying the nearest support organization based on location information when a traveler encounters an emergency.

[0881] (Claim 3)

[0882] The system according to claim 1, further comprising data analysis means for analyzing data acquired after the end of a trip and proposing improved safety measures for future itineraries.

[0883] "Example 2 of combining an emotion engine"

[0884] (Claim 1)

[0885] A means of estimating emotions for evaluating the physiological state of a human being,

[0886] A means of acquiring location information to obtain the current location information of a climber,

[0887] A means of acquiring weather information for evaluating environmental conditions,

[0888] Based on acquired location information, weather information, and sentiment estimation results, a route guidance system is provided to offer safe and psychologically less stressful mountain climbing routes.

[0889] Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected,

[0890] A geographic information analysis method for identifying areas on mountain climbing routes that require maintenance,

[0891] A system that includes this.

[0892] (Claim 2)

[0893] The system according to claim 1, further comprising a notification means for notifying the nearest rescue organization based on location information and emotion estimation results when a climber gets lost.

[0894] (Claim 3)

[0895] The system according to claim 1, further comprising data analysis means for analyzing physiological and environmental data acquired after a mountain climb and for proposing improved safety measures and psychological support for future mountain climbs.

[0896] "Application example 2 when combining with an emotional engine"

[0897] (Claim 1)

[0898] A means of acquiring location information to obtain the current location information of a climber,

[0899] A means of acquiring weather information for evaluating environmental conditions,

[0900] Based on acquired location and weather information, a route guidance system is provided to offer safe mountain climbing routes.

[0901] Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected,

[0902] A geodata analysis method for identifying areas on mountain trails that require maintenance,

[0903] An emotion recognition tool for estimating the emotional state of a user and providing psychological support appropriate to that state,

[0904] Urban visit support means to provide safe visit routes and psychological support within urban environments,

[0905] A system that includes this.

[0906] (Claim 2)

[0907] The system according to claim 1, further comprising a notification means for notifying the nearest rescue organization based on location information in the event that a climber gets into trouble.

[0908] (Claim 3)

[0909] The system according to claim 1, further comprising a data analysis means for analyzing data acquired after a mountain climb and proposing improved safety measures for future mountain climbs. [Explanation of symbols]

[0910] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for obtaining the current location information of travelers, A means of acquiring weather information for evaluating environmental conditions, A route guidance means for providing a safe travel route based on acquired location information and weather information, Emergency response measures to issue emergency notifications and appropriate rescue instructions when danger is detected, A geographic data analysis method for identifying locations that require maintenance and upkeep of travel routes, A means of providing tourist information to display information within public facilities in real time, A system that includes this.

2. The system according to claim 1, further comprising a notification means for notifying the nearest support organization based on location information when a traveler encounters an emergency.

3. The system according to claim 1, further comprising data analysis means for analyzing data acquired after the end of a trip and proposing improved safety measures for future itineraries.

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