system

Abstract

We provide the system. [Solution] An information processing means that generates guidance suitable for climbers based on location information from a location information acquisition device, A risk assessment tool that analyzes weather and topographic information to warn climbers of potential risks, A route planning system that calculates the optimal climbing route in real time and presents it to climbers, Equipment recommendations are provided to suggest equipment appropriate for the purpose and season of mountain climbing. A means of providing historical information that recognizes famous places and provides background information about them, A voice guidance output means that presents information using information of interest and linked voice output functions, A system that includes this.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, the method including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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] With the recent increase in the popularity of mountain climbing, ensuring safety in mountainous areas and providing a comfortable experience for climbers have become important issues. However, currently, climbers rely on their own experience and limited information to judge plans and equipment, often accompanied by an increase in risks and inconveniences. In addition, insufficient response to emergencies during mountain climbing and lack of appropriate real-time information provision have been regarded as problems. There is a need for a consistent support system to improve such a situation and enable safe and comfortable mountain climbing.

Means for Solving the Problems

[0005] This invention solves these problems by providing a system that includes information processing means for generating guidance suitable for climbers based on location information from a location information acquisition device, risk assessment means for analyzing weather and topographic information to warn of potential risks, route planning means for calculating and presenting the optimal climbing route in real time, and equipment recommendation means for recommending equipment according to the season and purpose. This system can also provide individually optimized climbing plans considering the climber's interests and physical condition, and further includes an image analysis function that recognizes landscapes and landmarks using an image acquisition device and provides relevant background information. As a result, climbers can enjoy climbing safely and comfortably from the planning stage to the descent.

[0006] A "location information acquisition device" is a device that has the function of identifying the user's current location and providing it as data to an external device.

[0007] "Information processing means" refers to a method of generating specific information using a computer based on received data and presenting it to the user.

[0008] "Weather information" refers to data about current and predicted weather conditions, which makes it possible to predict changes in the environment.

[0009] "Topographic information" refers to detailed data about the topography of a specific region, which can be used to understand the characteristics of the terrain.

[0010] A "risk assessment tool" is a means of analyzing and evaluating potential hazards based on collected data about the environment and circumstances.

[0011] A "route planning means" is a means of calculating the optimal route to a destination and providing that information to the user.

[0012] "Equipment recommendation methods" refer to methods for determining the necessary equipment based on the conditions and purpose of mountain climbing, and recommending appropriate equipment to users.

[0013] An "image acquisition device" is a device used to acquire surrounding scenery and objects as digital data.

[0014] "Image analysis means" refers to means of analyzing the content of acquired image data and providing related information. [Brief explanation of the drawing]

[0015] [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]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0016] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0017] First, the terms used in the following description will be explained.

[0018] In the following embodiments, a processor with a reference number (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.

[0019] In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0020] In the following embodiments, a storage with a reference number 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.

[0021] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0022] 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."

[0023] [First Embodiment]

[0024] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0025] 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.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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".

[0036] The present invention provides a comprehensive mountain climber support system that integrates diverse data to offer climbers comprehensive guidance. This system mainly consists of a server and terminals, and provides various types of information based on user input.

[0037] First, the user enters their desired hiking route into their device, and the server receives this information. The server retrieves the latest map data and also collects real-time weather information and congestion data. Based on this information, the server uses an AI algorithm to calculate the optimal route and sends the result to the device. The device then displays this route information to the user and provides voice guidance.

[0038] In parallel, the server analyzes weather and topographic data to assess potential risks. If certain risks are predicted, a warning message is sent to the terminal and presented to the user. This may include notifications of rapid weather changes or warnings about predicted hazardous areas.

[0039] Furthermore, the server generates a list of equipment tailored to the climbing season and route, and sends it to the user's terminal. Based on this information, the user can prepare the necessary equipment. The server also considers the user's interests and physical fitness to generate and suggest a personalized climbing plan.

[0040] In addition, the image acquisition function equipped in the device recognizes the surrounding scenery and landmarks, and the server provides corresponding historical and background information. For example, if a user points the device's camera at a specific landmark, the historical background and interesting anecdotes of that landmark will be displayed.

[0041] In this way, the system comprehensively supports users from planning and execution to improving the experience, ensuring the safety and comfort of climbers.

[0042] The following describes the processing flow.

[0043] Step 1:

[0044] The user enters information about their desired hiking route into the device. This includes details such as the name of the specific mountain and the departure time.

[0045] Step 2:

[0046] The device sends the hiking route information received from the user to the server. Based on this information, the server begins accessing the map database.

[0047] Step 3:

[0048] The server retrieves the latest map data, weather information, and congestion data. This data is collected in real time from various external sources.

[0049] Step 4:

[0050] The server uses AI algorithms based on the acquired information to calculate the optimal climbing route. This calculation takes into account distance, safety, estimated time, current weather, and congestion levels.

[0051] Step 5:

[0052] The server sends the calculated optimal route information to the terminal. The terminal receives this information and provides route guidance to the user visually and audibly.

[0053] Step 6:

[0054] Simultaneously, the server analyzes weather data and topographic information to assess potential risks. This generates warning messages regarding the predicted risks.

[0055] Step 7:

[0056] The server sends information, including risk warnings, to the terminal. The terminal displays the received warnings on its screen and, if necessary, alerts the user with voice.

[0057] Step 8:

[0058] The server generates and provides data to the user's terminal to recommend equipment appropriate for the season and route. The user can then use this equipment list to prepare for their climb.

[0059] Step 9:

[0060] The terminal uses an image acquisition device to recognize landscapes and landmarks. The image data is sent to a server, which analyzes the data to generate information about the relevant historical context and background.

[0061] Step 10:

[0062] The server sends the analyzed historical information to the terminal, which then displays it to the user. As a result, the user can enjoy an experience that goes beyond mere mountain climbing.

[0063] (Example 1)

[0064] 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."

[0065] In mountaineering, climbers are required to effectively utilize real-time location, weather, and topographic information to climb safely and comfortably. However, current systems struggle to properly integrate this information and accurately provide climbers with the necessary guidance and warnings. Furthermore, they are insufficient in providing personalized plans tailored to climbers' interests and physical abilities. In addition, they lack the functionality to provide climbers with historical background information on landscapes and landmarks.

[0066] 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.

[0067] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information, risk assessment means for analyzing weather and topographic information and warning climbers of potential risks, and route planning means for calculating and presenting the optimal climbing route to climbers. This enables real-time safe route guidance and allows for the provision of personalized plans that take into account the climber's interests and physical condition. Furthermore, it is possible to deepen the cultural and historical understanding of mountaineering by providing background information from image acquisition.

[0068] "Location information" refers to data that indicates the position of a specific object or place using geographical coordinates.

[0069] "Information processing means" refers to a device or process that uses input data to calculate and generate specific information and provide the necessary output.

[0070] "Weather information" refers to data that shows the weather conditions in a specific region, and includes temperature, precipitation, wind speed, etc.

[0071] "Topographic information" refers to data about the form and characteristics of the Earth's surface, indicating geographical features such as mountains, valleys, and rivers.

[0072] A "risk assessment tool" is a device or process that analyzes potential risks based on various pieces of information and presents the results.

[0073] A "route planning means" is a device or process for calculating and presenting the optimal travel route for a predetermined purpose.

[0074] An "equipment recommendation system" is a device or process that selects and proposes the most suitable equipment based on the nature of the activity and environmental conditions.

[0075] An "adaptive route planning means" is a device or process that has the function of dynamically modifying the travel route in accordance with acquired external information.

[0076] A "photographic device" is a device that captures light and records images, and is primarily used as a camera.

[0077] "Image analysis means" refers to a device or process that analyzes acquired image data and identifies and evaluates its contents.

[0078] The present invention aims to provide climbers with a safe and optimal climbing experience by integrating diverse information. This system mainly consists of a server and terminals.

[0079] The server obtains location information based on the user's requested hiking route, and also gathers the latest weather and topographic information. To this end, the server utilizes common API services, including weather data APIs for collecting weather information and map data APIs for obtaining topographic information. This information is incorporated into a risk assessment algorithm and provided to hikers in a way that warns them of potential risks.

[0080] The terminal displays the optimal hiking route calculated from the server based on the aforementioned data. A software library implementing an AI algorithm is used to calculate the optimal route. This information is displayed visually on a map and also output from the terminal as voice guidance. A software tool utilizing speech synthesis technology is used for voice synthesis.

[0081] Users can receive information via their devices regarding current weather conditions, route congestion, and equipment recommendations. Equipment recommendations are generated from a database on the server based on the climbing objective and seasonal conditions. Furthermore, by integrating information in real time and modifying routes through adaptive route planning, the system can adapt to changing environments.

[0082] Furthermore, the terminal is equipped with a camera, and when a user takes a picture of a landscape or landmark, the server analyzes the image and provides relevant historical and background information. Image recognition software utilizing deep learning technology is used for image analysis.

[0083] For example, if a user inputs "Tell me about the famous landmarks at the mountaintop" through this system, the server analyzes the image data and quickly provides information about that location. Using a generative AI model, it can concisely explain the relevant history and geographical features.

[0084] Example of a prompt:

[0085] "Use the latest weather and topographic data to suggest the optimal hiking route. Also, provide warning messages to prepare for sudden weather changes. Furthermore, display background information for the scenic spots photographed."

[0086] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0087] Step 1:

[0088] The user inputs information about their desired climbing route via a terminal. This information includes the specific climbing date, destination, and desired route. The terminal starts processing by sending this input data to the server.

[0089] Step 2:

[0090] The server obtains location information based on the received desired route information. Using the input geographic coordinates, the server downloads the latest map information from the map data API and stores it in the database. The output is the latest retrieved terrain and location information.

[0091] Step 3:

[0092] The server uses a weather information acquisition API to obtain real-time weather data for the entered location. Based on this data, the server performs a risk assessment of the climbing plan and generates a risk warning if there is danger. The output includes weather forecast information and a risk warning message.

[0093] Step 4:

[0094] The server uses an AI algorithm to calculate the optimal hiking route. It integrates topographic information, weather information, and congestion status as input, and performs data calculations using machine learning technologies such as TENSORFLOW®. The output is the calculated optimal route information.

[0095] Step 5:

[0096] The terminal receives optimal route information transmitted from the server and displays it visually to the user. Output includes route display on a map and voice guidance via speech synthesis. This allows the user to navigate using natural language.

[0097] Step 6:

[0098] The server generates a recommended equipment list to ensure the safety of climbers. Input includes current weather conditions and route information, and the output is a recommended equipment list.

[0099] Step 7:

[0100] The user takes photos of landscapes and landmarks that interest them using the device's camera. The captured images are sent to a server, where the server analyzes their features using image recognition technology. As output, the user is provided with historical and background information about the landmarks.

[0101] (Application Example 1)

[0102] 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."

[0103] Hikers often have difficulty obtaining real-time information on optimal routes and safety to their destinations. Furthermore, their means of obtaining information about interesting landmarks are limited, preventing them from fully enjoying the immersive experience. In addition, there is a lack of systems to provide plans optimized for individual hikers. Therefore, there is a need to provide safe, comfortable, and highly satisfying hiking experiences.

[0104] 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.

[0105] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information from a location information acquisition device, risk assessment means for analyzing weather and topographic information to warn climbers of potential risks, historical information provision means for recognizing landmarks and providing background information, and voice guidance output means for presenting information using information of interest and linked voice output functions. This enables the presentation of safe and optimal climbing plans, real-time information provision, and the provision of a customized experience.

[0106] "Information processing means" refers to a means of generating guidance suitable for climbers based on location information from a location information acquisition device.

[0107] A "risk assessment tool" is a means of analyzing weather and topographic information to warn climbers of potential risks.

[0108] A "route planning system" is a means of calculating the optimal climbing route in real time and presenting it to climbers.

[0109] "Equipment recommendations" refer to methods for recommending equipment appropriate for the purpose of mountain climbing and the season.

[0110] "Means of providing historical information" refers to means of recognizing famous places and providing background information about them.

[0111] A "voice guidance output means" is a means of presenting information using information of interest or linked voice output functions.

[0112] A "plan generation method" is a means of generating personalized climbing plans in real time, taking into account the climber's interests and physical condition.

[0113] "Image analysis means" refers to a means of recognizing landscapes and landmarks using an image acquisition device and providing background information.

[0114] This system is a climber support system mainly consisting of a server and terminals. The server first acquires the user's location information using a location information acquisition device and generates appropriate guidance using information processing means based on that information. It analyzes weather and terrain information acquired in real time and warns climbers of potential risks using risk assessment means. It calculates the optimal climbing route using route planning means and presents it to the terminal.

[0115] The terminal provides appropriate equipment using equipment recommendation means based on information entered by the user and acquired external data. The voice guidance output means provides route information and historical information to the user using information of interest and linked voice output functions. The server recognizes landmarks and transmits background information to the terminal using historical information provision means. Image analysis means is used to recognize the surrounding scenery and landmarks using an image acquisition device and to analyze the background information.

[0116] For example, if a user points their camera towards the summit while hiking, the voice guidance system will explain, "This is a famous summit, beloved by many hikers in the past." Furthermore, if a sudden weather change is predicted, the risk assessment system will issue a warning such as, "Please be careful, there is a predicted weather change."

[0117] The hardware and software used include a location information acquisition device, an audio output device, OpenCV as an image processing library, gTTS as speech generation software, and the requests module for acquiring external data. Examples of prompts include "Describe the landmarks in this image" and "Tell me a safe hiking route depending on the weather."

[0118] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0119] Step 1:

[0120] The server obtains the user's current location from a location information acquisition device. Using this input data, an information processing system generates guidance suitable for the climber. The generated guidance information is then transmitted to the terminal.

[0121] Step 2:

[0122] The server acquires real-time weather and topographic information through external data sources. This information is analyzed using risk assessment tools to evaluate potential risks. The evaluation results are generated as warning messages and sent to terminals.

[0123] Step 3:

[0124] The terminal calculates the optimal hiking route using a route planning system based on guidance information and risk assessment received from the server. Using guidance information and assessment results as input, it generates route information to be presented to the user as output.

[0125] Step 4:

[0126] The user uses the camera to point at the device and capture images of landscapes or landmarks of interest. The device then sends these images to an image analysis system to recognize landmarks and identify background information. The resulting background information is then provided to the user.

[0127] Step 5:

[0128] Based on the user's climbing objectives and the season, the system uses equipment recommendation tools to generate a list of necessary equipment. This list is created using the user's input data and is displayed on the device as a reference for preparation.

[0129] Step 6:

[0130] The terminal utilizes voice guidance output methods to provide audio information about landmarks and route guidance transmitted from the server. The audio data used is pre-processed and output in a format that is easy for the user to understand.

[0131] Step 7:

[0132] When a user inputs their individual interests and physical abilities into the plan generation system, the system generates a suitable climbing plan in real time. This plan is optimized for each individual user and delivered via the device.

[0133] 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.

[0134] This invention is a system that provides comprehensive guidance and support to mountain climbers, and in particular aims to improve the mountain climber's experience by incorporating an emotion engine that recognizes the user's emotions in real time and makes appropriate suggestions accordingly.

[0135] This system primarily consists of a server, terminals, and an emotion engine, and operates based on user input and data from the environment. First, the user uses a terminal to input information about their desired hiking route. The terminal sends this information to the server, which retrieves the latest map data and weather information, calculates the optimal route using an AI algorithm, and sends it back to the terminal.

[0136] At this time, the emotion engine equipped in the terminal analyzes the user's facial expressions, voice, and other biometric information to recognize the user's emotional state in real time. The server receives this emotional data and, if necessary, adjusts the climbing route or generates and sends suggestions to the terminal to reduce stress and fatigue.

[0137] For example, if the device detects fatigue in the user, it will, based on instructions from the server, suggest route changes or rest points. Also, if the user is feeling stressed during the climb, the device will display relaxing scenery and suggest comfortable equipment.

[0138] Furthermore, the server analyzes the user's emotional data over the long term to create a personalized climbing plan. This plan takes into account past emotional states and preferred activities, which can be used to help plan future climbs.

[0139] Thus, by incorporating an emotion engine, the present invention makes it possible to provide detailed guidance and support that meets the user's psychological and physical needs, thereby offering a safer and more comfortable mountain climbing experience.

[0140] The following describes the processing flow.

[0141] Step 1:

[0142] The user enters basic information such as their desired hiking route and departure time into their device. The device receives this information and sends it to the server.

[0143] Step 2:

[0144] The server accesses a map database based on information received from the terminal and collects the latest map data, weather information, and congestion status related to the target hiking route.

[0145] Step 3:

[0146] The server uses the collected data to calculate the optimal climbing route using an AI algorithm. Factors considered in this calculation include route safety, distance, estimated time, and weather conditions.

[0147] Step 4:

[0148] The server sends the calculated optimal route information to the terminal. The terminal then guides the user through the received route information visually and audibly.

[0149] Step 5:

[0150] The emotion engine built into the device analyzes the user's facial expressions, voice, heart rate, and other biometric signals in real time to recognize the user's emotional state.

[0151] Step 6:

[0152] The server receives emotional data sent from the terminal and decides on appropriate actions based on it. For example, if it detects high stress levels, it may adjust the route or suggest taking a break.

[0153] Step 7:

[0154] Based on the results of the emotion engine, the server provides the terminal with guidance on resting places and scenery as needed, as well as suggestions for comfort equipment. The terminal then notifies the user of this.

[0155] Step 8:

[0156] The server accumulates user emotional data over long periods and analyzes past emotional history. This analysis is then used to customize future climbing plans for the user.

[0157] Step 9:

[0158] Users will adjust their climbing plans as needed based on the suggested information, ensuring a safe and enjoyable climb.

[0159] (Example 2)

[0160] 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".

[0161] Modern outdoor activities, particularly mountaineering, require flexible responses tailored to the natural environment and the individual circumstances of each participant. However, existing systems fail to adequately consider users' emotional states and long-term activity histories, making it difficult to improve safety and the quality of the experience. As a result, there are problems such as a lack of appropriate support, the potential for risks, and a decline in the quality of the mountaineering experience.

[0162] 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.

[0163] In this invention, the server includes emotion analysis means for recognizing emotional states and generating suggestions based on them; emotion data analysis means for analyzing the user's emotional information over the long term and generating personalized action plans; and user state monitoring means for recognizing the user's state using visual and auditory information and providing appropriate guidance. This makes it possible to provide detailed support and guidance that takes into account the user's psychological state and behavioral history.

[0164] "Location information acquisition means" refers to devices or functions that identify the user's current location and provide geographical location information.

[0165] "Information processing means" refers to devices or functions that generate optimal guidance information based on location information and user input.

[0166] A "risk assessment tool" is a device or function that analyzes weather and topographic information and warns users of potential dangers.

[0167] A "route planning means" is a device or function that calculates and presents the optimal route for the user in real time.

[0168] "Equipment recommendation means" refers to devices or functions that suggest appropriate equipment according to the purpose of the activity and the season.

[0169] "Emotional analysis means" refers to devices or functions that recognize a user's emotional state in real time and generate suggestions based on that.

[0170] "Emotional data analysis tools" refer to devices or functions that analyze users' emotional information over the long term and generate personalized action plans.

[0171] "User status monitoring means" refers to devices or functions that recognize the user's status using visual or auditory information and provide appropriate guidance.

[0172] This invention is a system that operates using a server, terminals, and an emotion engine to provide comprehensive guidance and support to mountain climbers. In particular, it aims to improve the mountain climbing experience by incorporating emotion analysis means that recognize the user's emotions in real time.

[0173] The server is a high-performance data processing device that uses AI algorithms to analyze data based on location and hiking route information sent by users. It has the ability to obtain the latest map data and weather information via API and calculate the optimal route in real time. Furthermore, it accumulates emotional data sent by users over the long term and generates personalized hiking plans using emotional data analysis tools.

[0174] The terminal is a device that receives user input and has the function of sending entered climbing information to a server. Furthermore, the terminal is equipped with an emotion engine and can analyze the user's emotional state by acquiring biometric information using a camera, microphone, and various sensors. It also functions as an interface that visually displays route information and suggestions sent from the server.

[0175] Users input their hiking destination, departure time, and desired route information using their device. During the hike, they are expected to use the real-time information and suggestions provided to ensure a safe and enjoyable climb.

[0176] For example, when a user tries a new hiking route, they input destination information into their device and send it to the system. Based on this information, the system suggests the optimal route considering the weather and terrain, and constantly monitors the user's emotional state during the hike, providing appropriate suggestions and support. An example of a prompt message would be: "A hiker appears to be feeling tired. Based on this information, please suggest an easier route to the summit and appropriate rest points. Also, please guide the user to recommended scenic spots where they can refresh themselves."

[0177] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0178] Step 1:

[0179] The user uses the terminal to input their desired hiking route, destination, and departure time. This information becomes the input data. Specifically, this data is entered via the terminal's input form, and the terminal temporarily stores it in its internal database.

[0180] Step 2:

[0181] The terminal packets the entered climbing information and sends the data to the server. This step includes how the entered information is sent to the server. Specifically, the terminal uses its network communication function to send the input data to the server, where it is received.

[0182] Step 3:

[0183] Based on the data received from the user, the server calls map APIs and weather APIs to obtain necessary external data. This becomes the additional input data. Based on this data, the server's generating AI model calculates the optimal route. In this process, the server performs data processing and calculations to generate the output of the optimal route.

[0184] Step 4:

[0185] The server sends the calculated optimal route back to the terminal. Specifically, the server stores the route information it generates in a data packet and forwards it to the terminal, where the terminal receives the data. This output data is then prepared for presentation to the user.

[0186] Step 5:

[0187] The device's emotion engine activates and analyzes the user's emotional state in real time. In this step, the emotional state is determined by an emotion analysis algorithm using input data from the camera, microphone, and sensors. The results of this analysis become the input data for the next process.

[0188] Step 6:

[0189] The terminal sends user emotion data, which is the result of the analysis, to the server. The terminal encrypts the emotion data and transfers it to the server. This output data is received by the server and forms the basis for further processing.

[0190] Step 7:

[0191] The server analyzes the received emotional data and generates adjustments and suggestions for the climbing route as needed. Specifically, an AI model creates suggestions based on the emotional data and prepares to send the output to the terminal.

[0192] Step 8:

[0193] The server sends generated suggestions to the terminal, which receives them and presents them to the user. The terminal displays the suggestions on the screen using a visual interface and provides voice assistance as needed. At this stage, the analyzed data becomes output that helps the user take specific actions.

[0194] (Application Example 2)

[0195] 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".

[0196] When hikers and other users engage in activities in natural environments, there is a need for detailed guidance and support that goes beyond mere maps and weather information, taking into account the user's psychological state and physical condition. Conventional technology is insufficient in providing guidance that considers the user's emotional state, and as a result, the user's safety and comfort may not be fully ensured. Therefore, a system is needed that analyzes the user's emotional state in real time and provides optimal suggestions and adjustments accordingly.

[0197] 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.

[0198] In this invention, the server includes location information acquisition means, information processing means, risk assessment means, route planning means, equipment recommendation means, emotion analysis means, personalized guidance means, and image analysis means. This enables real-time optimal guidance and support for safe and comfortable travel, taking into account the user's emotional state, physical condition, and interests.

[0199] A "location information acquisition means" is a device that acquires location information and accurately identifies the user's current location.

[0200] "Information processing means" refers to a device or system for generating user-appropriate guidance based on acquired information.

[0201] A "risk assessment tool" is a device that analyzes weather and topographic information to warn users of potential risks.

[0202] A "route planning means" is a function that calculates and presents the optimal travel route for the user in real time.

[0203] The "equipment recommendation system" is a function that recommends necessary equipment to users according to their travel purpose and the season.

[0204] An "emotion analysis system" is a system that analyzes a user's emotional state in real time and makes appropriate suggestions based on that information.

[0205] A "personalized guidance system" is a mechanism that adjusts routes and suggestions based on emotional data to provide personalized guidance to users.

[0206] "Image analysis means" refers to technology that acquires images, recognizes landscapes and landmarks based on those images, and provides background information to the user.

[0207] The embodiments for carrying out the invention are as follows:

[0208] This system begins with the user terminal determining its current location using a location information acquisition mechanism. The terminal transmits the location information to a server, which then calculates the optimal travel route based on this information. A route planning mechanism generates the safest and most efficient route in real time, taking into account terrain data and weather information. Furthermore, the server uses a risk assessment mechanism to evaluate potential hazards and warns the user in advance.

[0209] The device acquires the user's facial expressions and voice data through emotion analysis, and analyzes this data using cloud services such as Google® Cloud Vision API and Speech-to-Text API. The analysis results capture the emotional state in real time, and personalized guidance is used to generate special suggestions tailored to the user's state. For example, if the user is feeling stressed, a relaxing scenic route will be recommended.

[0210] Furthermore, this system is equipped with image analysis capabilities to recognize landscapes and landmarks that users might find interesting during their travels, and provides related information. This allows users to not only travel but also gain interesting information, enabling a more enriching experience.

[0211] A concrete example is a scenario where, while hiking, a robot performs facial recognition on a user, senses their emotional state, and then suggests to the user, "Let's take a short break here. The view is beautiful." This operation is performed using an input prompt to an existing generative AI model such as, "User's current mood suggests stress; recommend a scenic route to alleviate stress levels."

[0212] Thus, the present invention enables detailed guidance and support for users, and by utilizing cloud technology in each process from information acquisition to guidance generation, it enables a high degree of personalization.

[0213] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0214] Step 1:

[0215] The device uses location information acquisition means, such as GPS sensors, to obtain the user's current location. This location information becomes input data and is sent from the device to the server. The server prepares to calculate the optimal travel route based on this information.

[0216] Step 2:

[0217] The server obtains the latest weather and topographic information based on the user's location. This data is provided to a risk assessment system to analyze potential risks. If a danger is detected, the server generates a warning message and sends it to the terminal.

[0218] Step 3:

[0219] The server combines its geospatial and meteorological information to calculate the optimal travel route using a route planning system. This calculation selects a route based on factors such as the shortest distance to the destination, safety, and user preferences. The calculation results are sent to the terminal as route guidance data.

[0220] Step 4:

[0221] The device uses emotion analysis tools to collect user facial expressions and voice data from the camera and microphone, and uses this as input to analyze the user's emotional state. Data processing is performed using the Google Cloud Vision API and Speech-to-Text API, and the user's emotional state is output. Based on this, the server generates further suggestions that are more suitable for the user.

[0222] Step 5:

[0223] The server uses emotional state data as input to create special suggestions using a personalized guidance method powered by a generative AI model. When generating these suggestions, prompts tailored to the user's state are utilized. The created suggestions are then sent to the device.

[0224] Step 6:

[0225] The device acquires landscape data from the camera through image analysis and performs image recognition processing. It analyzes the acquired image data to recognize landmarks and collects related information. This information is then displayed on the device as content designed to interest the user.

[0226] 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.

[0227] 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.

[0228] 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.

[0229] [Second Embodiment]

[0230] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0231] 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.

[0232] 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).

[0233] 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.

[0234] 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.

[0235] 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).

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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.

[0241] 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".

[0242] The present invention provides a comprehensive mountain climber support system that integrates diverse data to offer climbers comprehensive guidance. This system mainly consists of a server and terminals, and provides various types of information based on user input.

[0243] First, the user enters their desired hiking route into their device, and the server receives this information. The server retrieves the latest map data and also collects real-time weather information and congestion data. Based on this information, the server uses an AI algorithm to calculate the optimal route and sends the result to the device. The device then displays this route information to the user and provides voice guidance.

[0244] In parallel, the server analyzes weather and topographic data to assess potential risks. If certain risks are predicted, a warning message is sent to the terminal and presented to the user. This may include notifications of rapid weather changes or warnings about predicted hazardous areas.

[0245] Furthermore, the server generates a list of equipment tailored to the climbing season and route, and sends it to the user's terminal. Based on this information, the user can prepare the necessary equipment. The server also considers the user's interests and physical fitness to generate and suggest a personalized climbing plan.

[0246] In addition, the image acquisition function equipped in the device recognizes the surrounding scenery and landmarks, and the server provides corresponding historical and background information. For example, if a user points the device's camera at a specific landmark, the historical background and interesting anecdotes of that landmark will be displayed.

[0247] In this way, the system comprehensively supports users from planning and execution to improving the experience, ensuring the safety and comfort of climbers.

[0248] The following describes the processing flow.

[0249] Step 1:

[0250] The user enters information about their desired hiking route into the device. This includes details such as the name of the specific mountain and the departure time.

[0251] Step 2:

[0252] The device sends the hiking route information received from the user to the server. Based on this information, the server begins accessing the map database.

[0253] Step 3:

[0254] The server retrieves the latest map data, weather information, and congestion data. This data is collected in real time from various external sources.

[0255] Step 4:

[0256] The server uses AI algorithms based on the acquired information to calculate the optimal climbing route. This calculation takes into account distance, safety, estimated time, current weather, and congestion levels.

[0257] Step 5:

[0258] The server sends the calculated optimal route information to the terminal. The terminal receives this information and provides route guidance to the user visually and audibly.

[0259] Step 6:

[0260] Simultaneously, the server analyzes weather data and topographic information to assess potential risks. This generates warning messages regarding the predicted risks.

[0261] Step 7:

[0262] The server sends information, including risk warnings, to the terminal. The terminal displays the received warnings on its screen and, if necessary, alerts the user with voice.

[0263] Step 8:

[0264] The server generates and provides data to the user's terminal to recommend equipment appropriate for the season and route. The user can then use this equipment list to prepare for their climb.

[0265] Step 9:

[0266] The terminal uses an image acquisition device to recognize landscapes and landmarks. The image data is sent to a server, which analyzes the data to generate information about the relevant historical context and background.

[0267] Step 10:

[0268] The server sends the analyzed historical information to the terminal, which then displays it to the user. As a result, the user can enjoy an experience that goes beyond mere mountain climbing.

[0269] (Example 1)

[0270] 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".

[0271] In mountaineering, climbers are required to effectively utilize real-time location, weather, and topographic information to climb safely and comfortably. However, current systems struggle to properly integrate this information and accurately provide climbers with the necessary guidance and warnings. Furthermore, they are insufficient in providing personalized plans tailored to climbers' interests and physical abilities. In addition, they lack the functionality to provide climbers with historical background information on landscapes and landmarks.

[0272] 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.

[0273] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information, risk assessment means for analyzing weather and topographic information and warning climbers of potential risks, and route planning means for calculating and presenting the optimal climbing route to climbers. This enables real-time safe route guidance and allows for the provision of personalized plans that take into account the climber's interests and physical condition. Furthermore, it is possible to deepen the cultural and historical understanding of mountaineering by providing background information from image acquisition.

[0274] "Location information" refers to data that indicates the position of a specific object or place using geographical coordinates.

[0275] The "information processing means" is a device or process that calculates and generates specific information using input data and provides the necessary output.

[0276] The "weather information" is data indicating the weather conditions in a specific area and includes temperature, precipitation, wind speed, etc.

[0277] The "topographic information" is data related to the shape and features of the earth's surface and indicates geographical features such as mountains, valleys, and rivers.

[0278] The "risk assessment means" is a device or process that analyzes potential risks based on various information and presents the results.

[0279] The "route planning means" is a device or process that calculates and presents an optimal movement route for a predetermined purpose.

[0280] The "equipment recommendation means" is a device or process that selects and proposes optimal equipment based on the activity content and environmental conditions.

[0281] The "adaptive route planning means" is a device or process that has the function of dynamically modifying the movement route by reflecting the acquired external information.

[0282] The "imaging device" is a device that captures light and records images and is mainly used as a camera.

[0283] The "image analysis means" is a device or process that analyzes the acquired image data and identifies and evaluates its content.

[0284] The climber support system of the present invention aims to integrate various information and provide a safe and optimal climbing experience for climbers. This system is mainly composed of a server and a terminal.

[0285] Based on the desired information about the hiking route received from the user, the server acquires location information and further collects the latest weather information and terrain information. To do this, the server utilizes general API services, leveraging a weather data providing API for collecting weather information and a map data API for obtaining terrain information. These pieces of information are incorporated into the risk assessment algorithm and provided in a form that warns the climbers of potential risks.

[0286] Based on the aforementioned data, the terminal displays the optimal hiking route calculated by the server. A software library implementing an AI algorithm is used for calculating the optimal route. This information is not only visually displayed on the map but also output from the terminal as voice guidance. A software tool utilizing voice synthesis technology is used for voice synthesis.

[0287] The user can receive information regarding the current weather, route congestion, and equipment recommendations through the terminal. Equipment recommendations are generated from the database within the server according to the hiking purpose and seasonal conditions. Also, by integrating information in real time and modifying the route through an adaptive route planning, it is possible to respond to changing environments.

[0288] Furthermore, a photographing device is attached to the terminal. When the user takes pictures of the scenery or famous spots, the server analyzes the images and provides relevant historical and background information. Image recognition software leveraging deep learning technology is used for image analysis.

[0289] As a specific example, when the user inputs "Tell me about the famous spot at the mountain top" through this system, the server analyzes the image data and quickly provides information about that location. By leveraging the generated AI model, it is possible to concisely explain the relevant history and geographical features.

[0290] Examples of prompt sentences:

[0291] "Use the latest weather and topographic data to suggest the optimal hiking route. Also, provide warning messages to prepare for sudden weather changes. Furthermore, display background information for the scenic spots photographed."

[0292] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0293] Step 1:

[0294] The user inputs information about their desired climbing route via a terminal. This information includes the specific climbing date, destination, and desired route. The terminal starts processing by sending this input data to the server.

[0295] Step 2:

[0296] The server obtains location information based on the received desired route information. Using the input geographic coordinates, the server downloads the latest map information from the map data API and stores it in the database. The output is the latest retrieved terrain and location information.

[0297] Step 3:

[0298] The server uses a weather information acquisition API to obtain real-time weather data for the entered location. Based on this data, the server performs a risk assessment of the climbing plan and generates a risk warning if there is danger. The output includes weather forecast information and a risk warning message.

[0299] Step 4:

[0300] The server uses an AI algorithm to calculate the optimal hiking route. It integrates topographic information, weather information, and congestion status as input, and performs data calculations using machine learning techniques such as TensorFlow. The output is the calculated optimal route information.

[0301] Step 5:

[0302] The terminal receives the optimal route information sent from the server and visually displays it to the user. Outputs include route display on a map and voice guidance by voice synthesis. As a result, the user can follow the road according to natural language.

[0303] Step 6:

[0304] The server generates a recommended list of equipment to ensure the safety of climbers. The input includes current weather conditions and route information, and as output, a list of recommended equipment is created.

[0305] Step 7:

[0306] The user takes pictures of landscapes and famous places of interest with the camera device of the terminal. The taken images are sent to the server, and the server analyzes the features using image recognition technology. As output, historical and background information of the famous place is provided to the user.

[0307] (Application Example 1)

[0308] 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".

[0309] It is difficult for climbers to obtain real-time information on the optimal route and safety to the destination. Also, the means to obtain information about interesting famous places are limited, and they cannot fully enjoy the immersive experience. Furthermore, there is a lack of a mechanism to provide a plan optimized for individual climbers. Therefore, it is required to provide a safe, comfortable and highly satisfactory climbing experience.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0311] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information from a location information acquisition device, risk assessment means for analyzing weather and topographic information to warn climbers of potential risks, historical information provision means for recognizing landmarks and providing background information, and voice guidance output means for presenting information using information of interest and linked voice output functions. This enables the presentation of safe and optimal climbing plans, real-time information provision, and the provision of a customized experience.

[0312] "Information processing means" refers to a means of generating guidance suitable for climbers based on location information from a location information acquisition device.

[0313] A "risk assessment tool" is a means of analyzing weather and topographic information to warn climbers of potential risks.

[0314] A "route planning system" is a means of calculating the optimal climbing route in real time and presenting it to climbers.

[0315] "Equipment recommendations" refer to methods for recommending equipment appropriate for the purpose of mountain climbing and the season.

[0316] "Means of providing historical information" refers to means of recognizing famous places and providing background information about them.

[0317] A "voice guidance output means" is a means of presenting information using information of interest or linked voice output functions.

[0318] A "plan generation method" is a means of generating personalized climbing plans in real time, taking into account the climber's interests and physical condition.

[0319] "Image analysis means" refers to a means of recognizing landscapes and landmarks using an image acquisition device and providing background information.

[0320] This system is a climber support system mainly consisting of a server and terminals. The server first acquires the user's location information using a location information acquisition device and generates appropriate guidance using information processing means based on that information. It analyzes weather and terrain information acquired in real time and warns climbers of potential risks using risk assessment means. It calculates the optimal climbing route using route planning means and presents it to the terminal.

[0321] The terminal provides appropriate equipment using equipment recommendation means based on information entered by the user and acquired external data. The voice guidance output means provides route information and historical information to the user using information of interest and linked voice output functions. The server recognizes landmarks and transmits background information to the terminal using historical information provision means. Image analysis means is used to recognize the surrounding scenery and landmarks using an image acquisition device and to analyze the background information.

[0322] For example, if a user points their camera towards the summit while hiking, the voice guidance system will explain, "This is a famous summit, beloved by many hikers in the past." Furthermore, if a sudden weather change is predicted, the risk assessment system will issue a warning such as, "Please be careful, there is a predicted weather change."

[0323] The hardware and software used include a location information acquisition device, an audio output device, OpenCV as an image processing library, gTTS as speech generation software, and the requests module for acquiring external data. Examples of prompts include "Describe the landmarks in this image" and "Tell me a safe hiking route depending on the weather."

[0324] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0325] Step 1:

[0326] The server obtains the user's current location from a location information acquisition device. Using this input data, an information processing system generates guidance suitable for the climber. The generated guidance information is then transmitted to the terminal.

[0327] Step 2:

[0328] The server acquires real-time weather and topographic information through external data sources. This information is analyzed using risk assessment tools to evaluate potential risks. The evaluation results are generated as warning messages and sent to terminals.

[0329] Step 3:

[0330] The terminal calculates the optimal hiking route using a route planning system based on guidance information and risk assessment received from the server. Using guidance information and assessment results as input, it generates route information to be presented to the user as output.

[0331] Step 4:

[0332] The user uses the camera to point at the device and capture images of landscapes or landmarks of interest. The device then sends these images to an image analysis system to recognize landmarks and identify background information. The resulting background information is then provided to the user.

[0333] Step 5:

[0334] Based on the user's climbing objectives and the season, the system uses equipment recommendation tools to generate a list of necessary equipment. This list is created using the user's input data and is displayed on the device as a reference for preparation.

[0335] Step 6:

[0336] The terminal utilizes voice guidance output methods to provide audio information about landmarks and route guidance transmitted from the server. The audio data used is pre-processed and output in a format that is easy for the user to understand.

[0337] Step 7:

[0338] When a user inputs their individual interests and physical abilities into the plan generation system, the system generates a suitable climbing plan in real time. This plan is optimized for each individual user and delivered via the device.

[0339] 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.

[0340] This invention is a system that provides comprehensive guidance and support to mountain climbers, and in particular aims to improve the mountain climber's experience by incorporating an emotion engine that recognizes the user's emotions in real time and makes appropriate suggestions accordingly.

[0341] This system primarily consists of a server, terminals, and an emotion engine, and operates based on user input and data from the environment. First, the user uses a terminal to input information about their desired hiking route. The terminal sends this information to the server, which retrieves the latest map data and weather information, calculates the optimal route using an AI algorithm, and sends it back to the terminal.

[0342] At this time, the emotion engine equipped in the terminal analyzes the user's facial expressions, voice, and other biometric information to recognize the user's emotional state in real time. The server receives this emotional data and, if necessary, adjusts the climbing route or generates and sends suggestions to the terminal to reduce stress and fatigue.

[0343] For example, if the device detects fatigue in the user, it will, based on instructions from the server, suggest route changes or rest points. Also, if the user is feeling stressed during the climb, the device will display relaxing scenery and suggest comfortable equipment.

[0344] Furthermore, the server analyzes the user's emotional data over the long term to create a personalized climbing plan. This plan takes into account past emotional states and preferred activities, which can be used to help plan future climbs.

[0345] Thus, by incorporating an emotion engine, the present invention makes it possible to provide detailed guidance and support that meets the user's psychological and physical needs, thereby offering a safer and more comfortable mountain climbing experience.

[0346] The following describes the processing flow.

[0347] Step 1:

[0348] The user enters basic information such as their desired hiking route and departure time into their device. The device receives this information and sends it to the server.

[0349] Step 2:

[0350] The server accesses a map database based on information received from the terminal and collects the latest map data, weather information, and congestion status related to the target hiking route.

[0351] Step 3:

[0352] The server uses the collected data to calculate the optimal climbing route using an AI algorithm. Factors considered in this calculation include route safety, distance, estimated time, and weather conditions.

[0353] Step 4:

[0354] The server sends the calculated optimal route information to the terminal. The terminal then guides the user through the received route information visually and audibly.

[0355] Step 5:

[0356] The emotion engine built into the device analyzes the user's facial expressions, voice, heart rate, and other biometric signals in real time to recognize the user's emotional state.

[0357] Step 6:

[0358] The server receives emotional data sent from the terminal and decides on appropriate actions based on it. For example, if it detects high stress levels, it may adjust the route or suggest taking a break.

[0359] Step 7:

[0360] Based on the results of the emotion engine, the server provides the terminal with guidance on resting places and scenery as needed, as well as suggestions for comfort equipment. The terminal then notifies the user of this.

[0361] Step 8:

[0362] The server accumulates user emotional data over long periods and analyzes past emotional history. This analysis is then used to customize future climbing plans for the user.

[0363] Step 9:

[0364] Users will adjust their climbing plans as needed based on the suggested information, ensuring a safe and enjoyable climb.

[0365] (Example 2)

[0366] 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".

[0367] Modern outdoor activities, particularly mountaineering, require flexible responses tailored to the natural environment and the individual circumstances of each participant. However, existing systems fail to adequately consider users' emotional states and long-term activity histories, making it difficult to improve safety and the quality of the experience. As a result, there are problems such as a lack of appropriate support, the potential for risks, and a decline in the quality of the mountaineering experience.

[0368] 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.

[0369] In this invention, the server includes emotion analysis means for recognizing emotional states and generating suggestions based on them; emotion data analysis means for analyzing the user's emotional information over the long term and generating personalized action plans; and user state monitoring means for recognizing the user's state using visual and auditory information and providing appropriate guidance. This makes it possible to provide detailed support and guidance that takes into account the user's psychological state and behavioral history.

[0370] "Location information acquisition means" refers to devices or functions that identify the user's current location and provide geographical location information.

[0371] "Information processing means" refers to devices or functions that generate optimal guidance information based on location information and user input.

[0372] A "risk assessment tool" is a device or function that analyzes weather and topographic information and warns users of potential dangers.

[0373] A "route planning means" is a device or function that calculates and presents the optimal route for the user in real time.

[0374] "Equipment recommendation means" refers to devices or functions that suggest appropriate equipment according to the purpose of the activity and the season.

[0375] "Emotional analysis means" refers to devices or functions that recognize a user's emotional state in real time and generate suggestions based on that.

[0376] "Emotional data analysis tools" refer to devices or functions that analyze users' emotional information over the long term and generate personalized action plans.

[0377] "User status monitoring means" refers to devices or functions that recognize the user's status using visual or auditory information and provide appropriate guidance.

[0378] This invention is a system that operates using a server, terminals, and an emotion engine to provide comprehensive guidance and support to mountain climbers. In particular, it aims to improve the mountain climbing experience by incorporating emotion analysis means that recognize the user's emotions in real time.

[0379] The server is a high-performance data processing device that uses AI algorithms to analyze data based on location and hiking route information sent by users. It has the ability to obtain the latest map data and weather information via API and calculate the optimal route in real time. Furthermore, it accumulates emotional data sent by users over the long term and generates personalized hiking plans using emotional data analysis tools.

[0380] The terminal is a device that receives user input and has the function of sending entered climbing information to a server. Furthermore, the terminal is equipped with an emotion engine and can analyze the user's emotional state by acquiring biometric information using a camera, microphone, and various sensors. It also functions as an interface that visually displays route information and suggestions sent from the server.

[0381] Users input their hiking destination, departure time, and desired route information using their device. During the hike, they are expected to use the real-time information and suggestions provided to ensure a safe and enjoyable climb.

[0382] For example, when a user tries a new hiking route, they input destination information into their device and send it to the system. Based on this information, the system suggests the optimal route considering the weather and terrain, and constantly monitors the user's emotional state during the hike, providing appropriate suggestions and support. An example of a prompt message would be: "A hiker appears to be feeling tired. Based on this information, please suggest an easier route to the summit and appropriate rest points. Also, please guide the user to recommended scenic spots where they can refresh themselves."

[0383] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0384] Step 1:

[0385] The user uses the terminal to input their desired hiking route, destination, and departure time. This information becomes the input data. Specifically, this data is entered via the terminal's input form, and the terminal temporarily stores it in its internal database.

[0386] Step 2:

[0387] The terminal packets the entered climbing information and sends the data to the server. This step includes how the entered information is sent to the server. Specifically, the terminal uses its network communication function to send the input data to the server, where it is received.

[0388] Step 3:

[0389] Based on the data received from the user, the server calls map APIs and weather APIs to obtain necessary external data. This becomes the additional input data. Based on this data, the server's generating AI model calculates the optimal route. In this process, the server performs data processing and calculations to generate the output of the optimal route.

[0390] Step 4:

[0391] The server sends the calculated optimal route back to the terminal. Specifically, the server stores the route information it generates in a data packet and forwards it to the terminal, where the terminal receives the data. This output data is then prepared for presentation to the user.

[0392] Step 5:

[0393] The device's emotion engine activates and analyzes the user's emotional state in real time. In this step, the emotional state is determined by an emotion analysis algorithm using input data from the camera, microphone, and sensors. The results of this analysis become the input data for the next process.

[0394] Step 6:

[0395] The terminal sends user emotion data, which is the result of the analysis, to the server. The terminal encrypts the emotion data and transfers it to the server. This output data is received by the server and forms the basis for further processing.

[0396] Step 7:

[0397] The server analyzes the received emotional data and generates adjustments and suggestions for the climbing route as needed. Specifically, an AI model creates suggestions based on the emotional data and prepares to send the output to the terminal.

[0398] Step 8:

[0399] The server sends generated suggestions to the terminal, which receives them and presents them to the user. The terminal displays the suggestions on the screen using a visual interface and provides voice assistance as needed. At this stage, the analyzed data becomes output that helps the user take specific actions.

[0400] (Application Example 2)

[0401] 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."

[0402] When hikers and other users engage in activities in natural environments, there is a need for detailed guidance and support that goes beyond mere maps and weather information, taking into account the user's psychological state and physical condition. Conventional technology is insufficient in providing guidance that considers the user's emotional state, and as a result, the user's safety and comfort may not be fully ensured. Therefore, a system is needed that analyzes the user's emotional state in real time and provides optimal suggestions and adjustments accordingly.

[0403] 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.

[0404] In this invention, the server includes location information acquisition means, information processing means, risk assessment means, route planning means, equipment recommendation means, emotion analysis means, personalized guidance means, and image analysis means. This enables real-time optimal guidance and support for safe and comfortable travel, taking into account the user's emotional state, physical condition, and interests.

[0405] A "location information acquisition means" is a device that acquires location information and accurately identifies the user's current location.

[0406] "Information processing means" refers to a device or system for generating user-appropriate guidance based on acquired information.

[0407] A "risk assessment tool" is a device that analyzes weather and topographic information to warn users of potential risks.

[0408] A "route planning means" is a function that calculates and presents the optimal travel route for the user in real time.

[0409] The "equipment recommendation system" is a function that recommends necessary equipment to users according to their travel purpose and the season.

[0410] An "emotion analysis system" is a system that analyzes a user's emotional state in real time and makes appropriate suggestions based on that information.

[0411] A "personalized guidance system" is a mechanism that adjusts routes and suggestions based on emotional data to provide personalized guidance to users.

[0412] "Image analysis means" refers to technology that acquires images, recognizes landscapes and landmarks based on those images, and provides background information to the user.

[0413] The embodiments for carrying out the invention are as follows:

[0414] This system begins with the user terminal determining its current location using a location information acquisition mechanism. The terminal transmits the location information to a server, which then calculates the optimal travel route based on this information. A route planning mechanism generates the safest and most efficient route in real time, taking into account terrain data and weather information. Furthermore, the server uses a risk assessment mechanism to evaluate potential hazards and warns the user in advance.

[0415] The device acquires the user's facial expressions and voice data through emotion analysis, and analyzes this data using cloud services such as the Google Cloud Vision API and the Speech-to-Text API. The analysis results capture the emotional state in real time, and personalized guidance is used to generate special suggestions tailored to the user's state. For example, if the user is feeling stressed, a relaxing scenic route will be recommended.

[0416] Furthermore, this system is equipped with image analysis capabilities to recognize landscapes and landmarks that users might find interesting during their travels, and provides related information. This allows users to not only travel but also gain interesting information, enabling a more enriching experience.

[0417] A concrete example is a scenario where, while hiking, a robot performs facial recognition on a user, senses their emotional state, and then suggests to the user, "Let's take a short break here. The view is beautiful." This operation is performed using an input prompt to an existing generative AI model such as, "User's current mood suggests stress; recommend a scenic route to alleviate stress levels."

[0418] Thus, the present invention enables detailed guidance and support for users, and by utilizing cloud technology in each process from information acquisition to guidance generation, it enables a high degree of personalization.

[0419] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0420] Step 1:

[0421] The device uses location information acquisition means, such as GPS sensors, to obtain the user's current location. This location information becomes input data and is sent from the device to the server. The server prepares to calculate the optimal travel route based on this information.

[0422] Step 2:

[0423] The server obtains the latest weather and topographic information based on the user's location. This data is provided to a risk assessment system to analyze potential risks. If a danger is detected, the server generates a warning message and sends it to the terminal.

[0424] Step 3:

[0425] The server combines its geospatial and meteorological information to calculate the optimal travel route using a route planning system. This calculation selects a route based on factors such as the shortest distance to the destination, safety, and user preferences. The calculation results are sent to the terminal as route guidance data.

[0426] Step 4:

[0427] The device uses emotion analysis tools to collect user facial expressions and voice data from the camera and microphone, and uses this as input to analyze the user's emotional state. Data processing is performed using the Google Cloud Vision API and Speech-to-Text API, and the user's emotional state is output. Based on this, the server generates further suggestions that are more suitable for the user.

[0428] Step 5:

[0429] The server uses emotional state data as input to create special suggestions using a personalized guidance method powered by a generative AI model. When generating these suggestions, prompts tailored to the user's state are utilized. The created suggestions are then sent to the device.

[0430] Step 6:

[0431] The device acquires landscape data from the camera through image analysis and performs image recognition processing. It analyzes the acquired image data to recognize landmarks and collects related information. This information is then displayed on the device as content designed to interest the user.

[0432] 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.

[0433] 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.

[0434] 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.

[0435] [Third Embodiment]

[0436] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0437] 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.

[0438] 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).

[0439] 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.

[0440] 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.

[0441] 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).

[0442] 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.

[0443] 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.

[0444] 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.

[0445] 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.

[0446] 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.

[0447] 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".

[0448] The present invention provides a comprehensive mountain climber support system that integrates diverse data to offer climbers comprehensive guidance. This system mainly consists of a server and terminals, and provides various types of information based on user input.

[0449] First, the user enters their desired hiking route into their device, and the server receives this information. The server retrieves the latest map data and also collects real-time weather information and congestion data. Based on this information, the server uses an AI algorithm to calculate the optimal route and sends the result to the device. The device then displays this route information to the user and provides voice guidance.

[0450] In parallel, the server analyzes weather and topographic data to assess potential risks. If certain risks are predicted, a warning message is sent to the terminal and presented to the user. This may include notifications of rapid weather changes or warnings about predicted hazardous areas.

[0451] Furthermore, the server generates a list of equipment tailored to the climbing season and route, and sends it to the user's terminal. Based on this information, the user can prepare the necessary equipment. The server also considers the user's interests and physical fitness to generate and suggest a personalized climbing plan.

[0452] In addition, the image acquisition function equipped in the device recognizes the surrounding scenery and landmarks, and the server provides corresponding historical and background information. For example, if a user points the device's camera at a specific landmark, the historical background and interesting anecdotes of that landmark will be displayed.

[0453] In this way, the system comprehensively supports users from planning and execution to improving the experience, ensuring the safety and comfort of climbers.

[0454] The following describes the processing flow.

[0455] Step 1:

[0456] The user enters information about their desired hiking route into the device. This includes details such as the name of the specific mountain and the departure time.

[0457] Step 2:

[0458] The device sends the hiking route information received from the user to the server. Based on this information, the server begins accessing the map database.

[0459] Step 3:

[0460] The server retrieves the latest map data, weather information, and congestion data. This data is collected in real time from various external sources.

[0461] Step 4:

[0462] The server uses AI algorithms based on the acquired information to calculate the optimal climbing route. This calculation takes into account distance, safety, estimated time, current weather, and congestion levels.

[0463] Step 5:

[0464] The server sends the calculated optimal route information to the terminal. The terminal receives this information and provides route guidance to the user visually and audibly.

[0465] Step 6:

[0466] Simultaneously, the server analyzes weather data and topographic information to assess potential risks. This generates warning messages regarding the predicted risks.

[0467] Step 7:

[0468] The server sends information, including risk warnings, to the terminal. The terminal displays the received warnings on its screen and, if necessary, alerts the user with voice.

[0469] Step 8:

[0470] The server generates and provides data to the user's terminal to recommend equipment appropriate for the season and route. The user can then use this equipment list to prepare for their climb.

[0471] Step 9:

[0472] The terminal uses an image acquisition device to recognize landscapes and landmarks. The image data is sent to a server, which analyzes the data to generate information about the relevant historical context and background.

[0473] Step 10:

[0474] The server sends the analyzed historical information to the terminal, which then displays it to the user. As a result, the user can enjoy an experience that goes beyond mere mountain climbing.

[0475] (Example 1)

[0476] 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."

[0477] In mountaineering, climbers are required to effectively utilize real-time location, weather, and topographic information to climb safely and comfortably. However, current systems struggle to properly integrate this information and accurately provide climbers with the necessary guidance and warnings. Furthermore, they are insufficient in providing personalized plans tailored to climbers' interests and physical abilities. In addition, they lack the functionality to provide climbers with historical background information on landscapes and landmarks.

[0478] 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.

[0479] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information, risk assessment means for analyzing weather and topographic information and warning climbers of potential risks, and route planning means for calculating and presenting the optimal climbing route to climbers. This enables real-time safe route guidance and allows for the provision of personalized plans that take into account the climber's interests and physical condition. Furthermore, it is possible to deepen the cultural and historical understanding of mountaineering by providing background information from image acquisition.

[0480] "Location information" refers to data that indicates the position of a specific object or place using geographical coordinates.

[0481] "Information processing means" refers to a device or process that uses input data to calculate and generate specific information and provide the necessary output.

[0482] "Weather information" refers to data that shows the weather conditions in a specific region, and includes temperature, precipitation, wind speed, etc.

[0483] "Topographic information" refers to data about the form and characteristics of the Earth's surface, indicating geographical features such as mountains, valleys, and rivers.

[0484] A "risk assessment tool" is a device or process that analyzes potential risks based on various pieces of information and presents the results.

[0485] A "route planning means" is a device or process for calculating and presenting the optimal travel route for a predetermined purpose.

[0486] An "equipment recommendation system" is a device or process that selects and proposes the most suitable equipment based on the nature of the activity and environmental conditions.

[0487] An "adaptive route planning means" is a device or process that has the function of dynamically modifying the travel route in accordance with acquired external information.

[0488] A "photographic device" is a device that captures light and records images, and is primarily used as a camera.

[0489] "Image analysis means" refers to a device or process that analyzes acquired image data and identifies and evaluates its contents.

[0490] The present invention aims to provide climbers with a safe and optimal climbing experience by integrating diverse information. This system mainly consists of a server and terminals.

[0491] The server obtains location information based on the user's requested hiking route, and also gathers the latest weather and topographic information. To this end, the server utilizes common API services, including weather data APIs for collecting weather information and map data APIs for obtaining topographic information. This information is incorporated into a risk assessment algorithm and provided to hikers in a way that warns them of potential risks.

[0492] The terminal displays the optimal hiking route calculated from the server based on the aforementioned data. A software library implementing an AI algorithm is used to calculate the optimal route. This information is displayed visually on a map and also output from the terminal as voice guidance. A software tool utilizing speech synthesis technology is used for voice synthesis.

[0493] Users can receive information via their devices regarding current weather conditions, route congestion, and equipment recommendations. Equipment recommendations are generated from a database on the server based on the climbing objective and seasonal conditions. Furthermore, by integrating information in real time and modifying routes through adaptive route planning, the system can adapt to changing environments.

[0494] Furthermore, the terminal is equipped with a camera, and when a user takes a picture of a landscape or landmark, the server analyzes the image and provides relevant historical and background information. Image recognition software utilizing deep learning technology is used for image analysis.

[0495] For example, if a user inputs "Tell me about the famous landmarks at the mountaintop" through this system, the server analyzes the image data and quickly provides information about that location. Using a generative AI model, it can concisely explain the relevant history and geographical features.

[0496] Example of a prompt:

[0497] "Use the latest weather and topographic data to suggest the optimal hiking route. Also, provide warning messages to prepare for sudden weather changes. Furthermore, display background information for the scenic spots photographed."

[0498] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0499] Step 1:

[0500] The user inputs information about their desired climbing route via a terminal. This information includes the specific climbing date, destination, and desired route. The terminal starts processing by sending this input data to the server.

[0501] Step 2:

[0502] The server obtains location information based on the received desired route information. Using the input geographic coordinates, the server downloads the latest map information from the map data API and stores it in the database. The output is the latest retrieved terrain and location information.

[0503] Step 3:

[0504] The server uses a weather information acquisition API to obtain real-time weather data for the entered location. Based on this data, the server performs a risk assessment of the climbing plan and generates a risk warning if there is danger. The output includes weather forecast information and a risk warning message.

[0505] Step 4:

[0506] The server uses an AI algorithm to calculate the optimal hiking route. It integrates topographic information, weather information, and congestion status as input, and performs data calculations using machine learning techniques such as TensorFlow. The output is the calculated optimal route information.

[0507] Step 5:

[0508] The terminal receives optimal route information transmitted from the server and displays it visually to the user. Output includes route display on a map and voice guidance via speech synthesis. This allows the user to navigate using natural language.

[0509] Step 6:

[0510] The server generates a recommended equipment list to ensure the safety of climbers. Input includes current weather conditions and route information, and the output is a recommended equipment list.

[0511] Step 7:

[0512] The user takes photos of landscapes and landmarks that interest them using the device's camera. The captured images are sent to a server, where the server analyzes their features using image recognition technology. As output, the user is provided with historical and background information about the landmarks.

[0513] (Application Example 1)

[0514] 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."

[0515] Hikers often have difficulty obtaining real-time information on optimal routes and safety to their destinations. Furthermore, their means of obtaining information about interesting landmarks are limited, preventing them from fully enjoying the immersive experience. In addition, there is a lack of systems to provide plans optimized for individual hikers. Therefore, there is a need to provide safe, comfortable, and highly satisfying hiking experiences.

[0516] 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.

[0517] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information from a location information acquisition device, risk assessment means for analyzing weather and topographic information to warn climbers of potential risks, historical information provision means for recognizing landmarks and providing background information, and voice guidance output means for presenting information using information of interest and linked voice output functions. This enables the presentation of safe and optimal climbing plans, real-time information provision, and the provision of a customized experience.

[0518] "Information processing means" refers to a means of generating guidance suitable for climbers based on location information from a location information acquisition device.

[0519] A "risk assessment tool" is a means of analyzing weather and topographic information to warn climbers of potential risks.

[0520] A "route planning system" is a means of calculating the optimal climbing route in real time and presenting it to climbers.

[0521] "Equipment recommendations" refer to methods for recommending equipment appropriate for the purpose of mountain climbing and the season.

[0522] "Means of providing historical information" refers to means of recognizing famous places and providing background information about them.

[0523] A "voice guidance output means" is a means of presenting information using information of interest or linked voice output functions.

[0524] A "plan generation method" is a means of generating personalized climbing plans in real time, taking into account the climber's interests and physical condition.

[0525] "Image analysis means" refers to a means of recognizing landscapes and landmarks using an image acquisition device and providing background information.

[0526] This system is a climber support system mainly consisting of a server and terminals. The server first acquires the user's location information using a location information acquisition device and generates appropriate guidance using information processing means based on that information. It analyzes weather and terrain information acquired in real time and warns climbers of potential risks using risk assessment means. It calculates the optimal climbing route using route planning means and presents it to the terminal.

[0527] The terminal provides appropriate equipment using equipment recommendation means based on information entered by the user and acquired external data. The voice guidance output means provides route information and historical information to the user using information of interest and linked voice output functions. The server recognizes landmarks and transmits background information to the terminal using historical information provision means. Image analysis means is used to recognize the surrounding scenery and landmarks using an image acquisition device and to analyze the background information.

[0528] For example, if a user points their camera towards the summit while hiking, the voice guidance system will explain, "This is a famous summit, beloved by many hikers in the past." Furthermore, if a sudden weather change is predicted, the risk assessment system will issue a warning such as, "Please be careful, there is a predicted weather change."

[0529] The hardware and software used include a location information acquisition device, an audio output device, OpenCV as an image processing library, gTTS as speech generation software, and the requests module for acquiring external data. Examples of prompts include "Describe the landmarks in this image" and "Tell me a safe hiking route depending on the weather."

[0530] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0531] Step 1:

[0532] The server obtains the user's current location from a location information acquisition device. Using this input data, an information processing system generates guidance suitable for the climber. The generated guidance information is then transmitted to the terminal.

[0533] Step 2:

[0534] The server acquires real-time weather and topographic information through external data sources. This information is analyzed using risk assessment tools to evaluate potential risks. The evaluation results are generated as warning messages and sent to terminals.

[0535] Step 3:

[0536] The terminal calculates the optimal hiking route using a route planning system based on guidance information and risk assessment received from the server. Using guidance information and assessment results as input, it generates route information to be presented to the user as output.

[0537] Step 4:

[0538] The user uses the camera to point at the device and capture images of landscapes or landmarks of interest. The device then sends these images to an image analysis system to recognize landmarks and identify background information. The resulting background information is then provided to the user.

[0539] Step 5:

[0540] Based on the user's climbing objectives and the season, the system uses equipment recommendation tools to generate a list of necessary equipment. This list is created using the user's input data and is displayed on the device as a reference for preparation.

[0541] Step 6:

[0542] The terminal utilizes voice guidance output methods to provide audio information about landmarks and route guidance transmitted from the server. The audio data used is pre-processed and output in a format that is easy for the user to understand.

[0543] Step 7:

[0544] When a user inputs their individual interests and physical abilities into the plan generation system, the system generates a suitable climbing plan in real time. This plan is optimized for each individual user and delivered via the device.

[0545] 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.

[0546] This invention is a system that provides comprehensive guidance and support to mountain climbers, and in particular aims to improve the mountain climber's experience by incorporating an emotion engine that recognizes the user's emotions in real time and makes appropriate suggestions accordingly.

[0547] This system primarily consists of a server, terminals, and an emotion engine, and operates based on user input and data from the environment. First, the user uses a terminal to input information about their desired hiking route. The terminal sends this information to the server, which retrieves the latest map data and weather information, calculates the optimal route using an AI algorithm, and sends it back to the terminal.

[0548] At this time, the emotion engine equipped in the terminal analyzes the user's facial expressions, voice, and other biometric information to recognize the user's emotional state in real time. The server receives this emotional data and, if necessary, adjusts the climbing route or generates and sends suggestions to the terminal to reduce stress and fatigue.

[0549] For example, if the device detects fatigue in the user, it will, based on instructions from the server, suggest route changes or rest points. Also, if the user is feeling stressed during the climb, the device will display relaxing scenery and suggest comfortable equipment.

[0550] Furthermore, the server analyzes the user's emotional data over the long term to create a personalized climbing plan. This plan takes into account past emotional states and preferred activities, which can be used to help plan future climbs.

[0551] Thus, by incorporating an emotion engine, the present invention makes it possible to provide detailed guidance and support that meets the user's psychological and physical needs, thereby offering a safer and more comfortable mountain climbing experience.

[0552] The following describes the processing flow.

[0553] Step 1:

[0554] The user enters basic information such as their desired hiking route and departure time into their device. The device receives this information and sends it to the server.

[0555] Step 2:

[0556] The server accesses a map database based on information received from the terminal and collects the latest map data, weather information, and congestion status related to the target hiking route.

[0557] Step 3:

[0558] The server uses the collected data to calculate the optimal climbing route using an AI algorithm. Factors considered in this calculation include route safety, distance, estimated time, and weather conditions.

[0559] Step 4:

[0560] The server sends the calculated optimal route information to the terminal. The terminal then guides the user through the received route information visually and audibly.

[0561] Step 5:

[0562] The emotion engine built into the device analyzes the user's facial expressions, voice, heart rate, and other biometric signals in real time to recognize the user's emotional state.

[0563] Step 6:

[0564] The server receives emotional data sent from the terminal and decides on appropriate actions based on it. For example, if it detects high stress levels, it may adjust the route or suggest taking a break.

[0565] Step 7:

[0566] Based on the results of the emotion engine, the server provides the terminal with guidance on resting places and scenery as needed, as well as suggestions for comfort equipment. The terminal then notifies the user of this.

[0567] Step 8:

[0568] The server accumulates user emotional data over long periods and analyzes past emotional history. This analysis is then used to customize future climbing plans for the user.

[0569] Step 9:

[0570] Users will adjust their climbing plans as needed based on the suggested information, ensuring a safe and enjoyable climb.

[0571] (Example 2)

[0572] 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."

[0573] Modern outdoor activities, particularly mountaineering, require flexible responses tailored to the natural environment and the individual circumstances of each participant. However, existing systems fail to adequately consider users' emotional states and long-term activity histories, making it difficult to improve safety and the quality of the experience. As a result, there are problems such as a lack of appropriate support, the potential for risks, and a decline in the quality of the mountaineering experience.

[0574] 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.

[0575] In this invention, the server includes emotion analysis means for recognizing emotional states and generating suggestions based on them; emotion data analysis means for analyzing the user's emotional information over the long term and generating personalized action plans; and user state monitoring means for recognizing the user's state using visual and auditory information and providing appropriate guidance. This makes it possible to provide detailed support and guidance that takes into account the user's psychological state and behavioral history.

[0576] "Location information acquisition means" refers to devices or functions that identify the user's current location and provide geographical location information.

[0577] "Information processing means" refers to devices or functions that generate optimal guidance information based on location information and user input.

[0578] A "risk assessment tool" is a device or function that analyzes weather and topographic information and warns users of potential dangers.

[0579] A "route planning means" is a device or function that calculates and presents the optimal route for the user in real time.

[0580] "Equipment recommendation means" refers to devices or functions that suggest appropriate equipment according to the purpose of the activity and the season.

[0581] "Emotional analysis means" refers to devices or functions that recognize a user's emotional state in real time and generate suggestions based on that.

[0582] "Emotional data analysis tools" refer to devices or functions that analyze users' emotional information over the long term and generate personalized action plans.

[0583] "User status monitoring means" refers to devices or functions that recognize the user's status using visual or auditory information and provide appropriate guidance.

[0584] This invention is a system that operates using a server, terminals, and an emotion engine to provide comprehensive guidance and support to mountain climbers. In particular, it aims to improve the mountain climbing experience by incorporating emotion analysis means that recognize the user's emotions in real time.

[0585] The server is a high-performance data processing device that uses AI algorithms to analyze data based on location and hiking route information sent by users. It has the ability to obtain the latest map data and weather information via API and calculate the optimal route in real time. Furthermore, it accumulates emotional data sent by users over the long term and generates personalized hiking plans using emotional data analysis tools.

[0586] The terminal is a device that receives user input and has the function of sending entered climbing information to a server. Furthermore, the terminal is equipped with an emotion engine and can analyze the user's emotional state by acquiring biometric information using a camera, microphone, and various sensors. It also functions as an interface that visually displays route information and suggestions sent from the server.

[0587] Users input their hiking destination, departure time, and desired route information using their device. During the hike, they are expected to use the real-time information and suggestions provided to ensure a safe and enjoyable climb.

[0588] For example, when a user tries a new hiking route, they input destination information into their device and send it to the system. Based on this information, the system suggests the optimal route considering the weather and terrain, and constantly monitors the user's emotional state during the hike, providing appropriate suggestions and support. An example of a prompt message would be: "A hiker appears to be feeling tired. Based on this information, please suggest an easier route to the summit and appropriate rest points. Also, please guide the user to recommended scenic spots where they can refresh themselves."

[0589] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0590] Step 1:

[0591] The user uses the terminal to input their desired hiking route, destination, and departure time. This information becomes the input data. Specifically, this data is entered via the terminal's input form, and the terminal temporarily stores it in its internal database.

[0592] Step 2:

[0593] The terminal packets the entered climbing information and sends the data to the server. This step includes how the entered information is sent to the server. Specifically, the terminal uses its network communication function to send the input data to the server, where it is received.

[0594] Step 3:

[0595] Based on the data received from the user, the server calls map APIs and weather APIs to obtain necessary external data. This becomes the additional input data. Based on this data, the server's generating AI model calculates the optimal route. In this process, the server performs data processing and calculations to generate the output of the optimal route.

[0596] Step 4:

[0597] The server sends the calculated optimal route back to the terminal. Specifically, the server stores the route information it generates in a data packet and forwards it to the terminal, where the terminal receives the data. This output data is then prepared for presentation to the user.

[0598] Step 5:

[0599] The device's emotion engine activates and analyzes the user's emotional state in real time. In this step, the emotional state is determined by an emotion analysis algorithm using input data from the camera, microphone, and sensors. The results of this analysis become the input data for the next process.

[0600] Step 6:

[0601] The terminal sends user emotion data, which is the result of the analysis, to the server. The terminal encrypts the emotion data and transfers it to the server. This output data is received by the server and forms the basis for further processing.

[0602] Step 7:

[0603] The server analyzes the received emotional data and generates adjustments and suggestions for the climbing route as needed. Specifically, an AI model creates suggestions based on the emotional data and prepares to send the output to the terminal.

[0604] Step 8:

[0605] The server sends generated suggestions to the terminal, which receives them and presents them to the user. The terminal displays the suggestions on the screen using a visual interface and provides voice assistance as needed. At this stage, the analyzed data becomes output that helps the user take specific actions.

[0606] (Application Example 2)

[0607] 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."

[0608] When hikers and other users engage in activities in natural environments, there is a need for detailed guidance and support that goes beyond mere maps and weather information, taking into account the user's psychological state and physical condition. Conventional technology is insufficient in providing guidance that considers the user's emotional state, and as a result, the user's safety and comfort may not be fully ensured. Therefore, a system is needed that analyzes the user's emotional state in real time and provides optimal suggestions and adjustments accordingly.

[0609] 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.

[0610] In this invention, the server includes location information acquisition means, information processing means, risk assessment means, route planning means, equipment recommendation means, emotion analysis means, personalized guidance means, and image analysis means. This enables real-time optimal guidance and support for safe and comfortable travel, taking into account the user's emotional state, physical condition, and interests.

[0611] A "location information acquisition means" is a device that acquires location information and accurately identifies the user's current location.

[0612] "Information processing means" refers to a device or system for generating user-appropriate guidance based on acquired information.

[0613] A "risk assessment tool" is a device that analyzes weather and topographic information to warn users of potential risks.

[0614] A "route planning means" is a function that calculates and presents the optimal travel route for the user in real time.

[0615] The "equipment recommendation system" is a function that recommends necessary equipment to users according to their travel purpose and the season.

[0616] An "emotion analysis system" is a system that analyzes a user's emotional state in real time and makes appropriate suggestions based on that information.

[0617] A "personalized guidance system" is a mechanism that adjusts routes and suggestions based on emotional data to provide personalized guidance to users.

[0618] "Image analysis means" refers to technology that acquires images, recognizes landscapes and landmarks based on those images, and provides background information to the user.

[0619] The embodiments for carrying out the invention are as follows:

[0620] This system begins with the user terminal determining its current location using a location information acquisition mechanism. The terminal transmits the location information to a server, which then calculates the optimal travel route based on this information. A route planning mechanism generates the safest and most efficient route in real time, taking into account terrain data and weather information. Furthermore, the server uses a risk assessment mechanism to evaluate potential hazards and warns the user in advance.

[0621] The device acquires the user's facial expressions and voice data through emotion analysis, and analyzes this data using cloud services such as the Google Cloud Vision API and the Speech-to-Text API. The analysis results capture the emotional state in real time, and personalized guidance is used to generate special suggestions tailored to the user's state. For example, if the user is feeling stressed, a relaxing scenic route will be recommended.

[0622] Furthermore, this system is equipped with image analysis capabilities to recognize landscapes and landmarks that users might find interesting during their travels, and provides related information. This allows users to not only travel but also gain interesting information, enabling a more enriching experience.

[0623] A concrete example is a scenario where, while hiking, a robot performs facial recognition on a user, senses their emotional state, and then suggests to the user, "Let's take a short break here. The view is beautiful." This operation is performed using an input prompt to an existing generative AI model such as, "User's current mood suggests stress; recommend a scenic route to alleviate stress levels."

[0624] Thus, the present invention enables detailed guidance and support for users, and by utilizing cloud technology in each process from information acquisition to guidance generation, it enables a high degree of personalization.

[0625] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0626] Step 1:

[0627] The device uses location information acquisition means, such as GPS sensors, to obtain the user's current location. This location information becomes input data and is sent from the device to the server. The server prepares to calculate the optimal travel route based on this information.

[0628] Step 2:

[0629] The server obtains the latest weather and topographic information based on the user's location. This data is provided to a risk assessment system to analyze potential risks. If a danger is detected, the server generates a warning message and sends it to the terminal.

[0630] Step 3:

[0631] The server combines its geospatial and meteorological information to calculate the optimal travel route using a route planning system. This calculation selects a route based on factors such as the shortest distance to the destination, safety, and user preferences. The calculation results are sent to the terminal as route guidance data.

[0632] Step 4:

[0633] The device uses emotion analysis tools to collect user facial expressions and voice data from the camera and microphone, and uses this as input to analyze the user's emotional state. Data processing is performed using the Google Cloud Vision API and Speech-to-Text API, and the user's emotional state is output. Based on this, the server generates further suggestions that are more suitable for the user.

[0634] Step 5:

[0635] The server uses emotional state data as input to create special suggestions using a personalized guidance method powered by a generative AI model. When generating these suggestions, prompts tailored to the user's state are utilized. The created suggestions are then sent to the device.

[0636] Step 6:

[0637] The device acquires landscape data from the camera through image analysis and performs image recognition processing. It analyzes the acquired image data to recognize landmarks and collects related information. This information is then displayed on the device as content designed to interest the user.

[0638] 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.

[0639] 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.

[0640] 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.

[0641] [Fourth Embodiment]

[0642] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0643] 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.

[0644] 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).

[0645] 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.

[0646] 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.

[0647] 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).

[0648] 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.

[0649] 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.

[0650] 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.

[0651] 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.

[0652] 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.

[0653] 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.

[0654] 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".

[0655] The present invention provides a comprehensive mountain climber support system that integrates diverse data to offer climbers comprehensive guidance. This system mainly consists of a server and terminals, and provides various types of information based on user input.

[0656] First, the user enters their desired hiking route into their device, and the server receives this information. The server retrieves the latest map data and also collects real-time weather information and congestion data. Based on this information, the server uses an AI algorithm to calculate the optimal route and sends the result to the device. The device then displays this route information to the user and provides voice guidance.

[0657] In parallel, the server analyzes weather and topographic data to assess potential risks. If certain risks are predicted, a warning message is sent to the terminal and presented to the user. This may include notifications of rapid weather changes or warnings about predicted hazardous areas.

[0658] Furthermore, the server generates a list of equipment tailored to the climbing season and route, and sends it to the user's terminal. Based on this information, the user can prepare the necessary equipment. The server also considers the user's interests and physical fitness to generate and suggest a personalized climbing plan.

[0659] In addition, the image acquisition function equipped in the device recognizes the surrounding scenery and landmarks, and the server provides corresponding historical and background information. For example, if a user points the device's camera at a specific landmark, the historical background and interesting anecdotes of that landmark will be displayed.

[0660] In this way, the system comprehensively supports users from planning and execution to improving the experience, ensuring the safety and comfort of climbers.

[0661] The following describes the processing flow.

[0662] Step 1:

[0663] The user enters information about their desired hiking route into the device. This includes details such as the name of the specific mountain and the departure time.

[0664] Step 2:

[0665] The device sends the hiking route information received from the user to the server. Based on this information, the server begins accessing the map database.

[0666] Step 3:

[0667] The server retrieves the latest map data, weather information, and congestion data. This data is collected in real time from various external sources.

[0668] Step 4:

[0669] The server uses AI algorithms based on the acquired information to calculate the optimal climbing route. This calculation takes into account distance, safety, estimated time, current weather, and congestion levels.

[0670] Step 5:

[0671] The server sends the calculated optimal route information to the terminal. The terminal receives this information and provides route guidance to the user visually and audibly.

[0672] Step 6:

[0673] Simultaneously, the server analyzes weather data and topographic information to assess potential risks. This generates warning messages regarding the predicted risks.

[0674] Step 7:

[0675] The server sends information, including risk warnings, to the terminal. The terminal displays the received warnings on its screen and, if necessary, alerts the user with voice.

[0676] Step 8:

[0677] The server generates and provides data to the user's terminal to recommend equipment appropriate for the season and route. The user can then use this equipment list to prepare for their climb.

[0678] Step 9:

[0679] The terminal uses an image acquisition device to recognize landscapes and landmarks. The image data is sent to a server, which analyzes the data to generate information about the relevant historical context and background.

[0680] Step 10:

[0681] The server sends the analyzed historical information to the terminal, which then displays it to the user. As a result, the user can enjoy an experience that goes beyond mere mountain climbing.

[0682] (Example 1)

[0683] 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".

[0684] In mountaineering, climbers are required to effectively utilize real-time location, weather, and topographic information to climb safely and comfortably. However, current systems struggle to properly integrate this information and accurately provide climbers with the necessary guidance and warnings. Furthermore, they are insufficient in providing personalized plans tailored to climbers' interests and physical abilities. In addition, they lack the functionality to provide climbers with historical background information on landscapes and landmarks.

[0685] 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.

[0686] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information, risk assessment means for analyzing weather and topographic information and warning climbers of potential risks, and route planning means for calculating and presenting the optimal climbing route to climbers. This enables real-time safe route guidance and allows for the provision of personalized plans that take into account the climber's interests and physical condition. Furthermore, it is possible to deepen the cultural and historical understanding of mountaineering by providing background information from image acquisition.

[0687] "Location information" refers to data that indicates the position of a specific object or place using geographical coordinates.

[0688] "Information processing means" refers to a device or process that uses input data to calculate and generate specific information and provide the necessary output.

[0689] "Weather information" refers to data that shows the weather conditions in a specific region, and includes temperature, precipitation, wind speed, etc.

[0690] "Topographic information" refers to data about the form and characteristics of the Earth's surface, indicating geographical features such as mountains, valleys, and rivers.

[0691] A "risk assessment tool" is a device or process that analyzes potential risks based on various pieces of information and presents the results.

[0692] A "route planning means" is a device or process for calculating and presenting the optimal travel route for a predetermined purpose.

[0693] An "equipment recommendation system" is a device or process that selects and proposes the most suitable equipment based on the nature of the activity and environmental conditions.

[0694] An "adaptive route planning means" is a device or process that has the function of dynamically modifying the travel route in accordance with acquired external information.

[0695] A "photographic device" is a device that captures light and records images, and is primarily used as a camera.

[0696] "Image analysis means" refers to a device or process that analyzes acquired image data and identifies and evaluates its contents.

[0697] The present invention aims to provide climbers with a safe and optimal climbing experience by integrating diverse information. This system mainly consists of a server and terminals.

[0698] The server obtains location information based on the user's requested hiking route, and also gathers the latest weather and topographic information. To this end, the server utilizes common API services, including weather data APIs for collecting weather information and map data APIs for obtaining topographic information. This information is incorporated into a risk assessment algorithm and provided to hikers in a way that warns them of potential risks.

[0699] The terminal displays the optimal hiking route calculated from the server based on the aforementioned data. A software library implementing an AI algorithm is used to calculate the optimal route. This information is displayed visually on a map and also output from the terminal as voice guidance. A software tool utilizing speech synthesis technology is used for voice synthesis.

[0700] Users can receive information via their devices regarding current weather conditions, route congestion, and equipment recommendations. Equipment recommendations are generated from a database on the server based on the climbing objective and seasonal conditions. Furthermore, by integrating information in real time and modifying routes through adaptive route planning, the system can adapt to changing environments.

[0701] Furthermore, the terminal is equipped with a camera, and when a user takes a picture of a landscape or landmark, the server analyzes the image and provides relevant historical and background information. Image recognition software utilizing deep learning technology is used for image analysis.

[0702] For example, if a user inputs "Tell me about the famous landmarks at the mountaintop" through this system, the server analyzes the image data and quickly provides information about that location. Using a generative AI model, it can concisely explain the relevant history and geographical features.

[0703] Example of a prompt:

[0704] "Use the latest weather and topographic data to suggest the optimal hiking route. Also, provide warning messages to prepare for sudden weather changes. Furthermore, display background information for the scenic spots photographed."

[0705] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0706] Step 1:

[0707] The user inputs information about their desired climbing route via a terminal. This information includes the specific climbing date, destination, and desired route. The terminal starts processing by sending this input data to the server.

[0708] Step 2:

[0709] The server obtains location information based on the received desired route information. Using the input geographic coordinates, the server downloads the latest map information from the map data API and stores it in the database. The output is the latest retrieved terrain and location information.

[0710] Step 3:

[0711] The server uses a weather information acquisition API to obtain real-time weather data for the entered location. Based on this data, the server performs a risk assessment of the climbing plan and generates a risk warning if there is danger. The output includes weather forecast information and a risk warning message.

[0712] Step 4:

[0713] The server uses an AI algorithm to calculate the optimal hiking route. It integrates topographic information, weather information, and congestion status as input, and performs data calculations using machine learning techniques such as TensorFlow. The output is the calculated optimal route information.

[0714] Step 5:

[0715] The terminal receives optimal route information transmitted from the server and displays it visually to the user. Output includes route display on a map and voice guidance via speech synthesis. This allows the user to navigate using natural language.

[0716] Step 6:

[0717] The server generates a recommended equipment list to ensure the safety of climbers. Input includes current weather conditions and route information, and the output is a recommended equipment list.

[0718] Step 7:

[0719] The user takes photos of landscapes and landmarks that interest them using the device's camera. The captured images are sent to a server, where the server analyzes their features using image recognition technology. As output, the user is provided with historical and background information about the landmarks.

[0720] (Application Example 1)

[0721] 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".

[0722] Hikers often have difficulty obtaining real-time information on optimal routes and safety to their destinations. Furthermore, their means of obtaining information about interesting landmarks are limited, preventing them from fully enjoying the immersive experience. In addition, there is a lack of systems to provide plans optimized for individual hikers. Therefore, there is a need to provide safe, comfortable, and highly satisfying hiking experiences.

[0723] 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.

[0724] In this invention, the server includes information processing means for generating guidance suitable for climbers based on location information from a location information acquisition device, risk assessment means for analyzing weather and topographic information to warn climbers of potential risks, historical information provision means for recognizing landmarks and providing background information, and voice guidance output means for presenting information using information of interest and linked voice output functions. This enables the presentation of safe and optimal climbing plans, real-time information provision, and the provision of a customized experience.

[0725] "Information processing means" refers to a means of generating guidance suitable for climbers based on location information from a location information acquisition device.

[0726] A "risk assessment tool" is a means of analyzing weather and topographic information to warn climbers of potential risks.

[0727] A "route planning system" is a means of calculating the optimal climbing route in real time and presenting it to climbers.

[0728] "Equipment recommendations" refer to methods for recommending equipment appropriate for the purpose of mountain climbing and the season.

[0729] "Means of providing historical information" refers to means of recognizing famous places and providing background information about them.

[0730] A "voice guidance output means" is a means of presenting information using information of interest or linked voice output functions.

[0731] A "plan generation method" is a means of generating personalized climbing plans in real time, taking into account the climber's interests and physical condition.

[0732] "Image analysis means" refers to a means of recognizing landscapes and landmarks using an image acquisition device and providing background information.

[0733] This system is a climber support system mainly consisting of a server and terminals. The server first acquires the user's location information using a location information acquisition device and generates appropriate guidance using information processing means based on that information. It analyzes weather and terrain information acquired in real time and warns climbers of potential risks using risk assessment means. It calculates the optimal climbing route using route planning means and presents it to the terminal.

[0734] The terminal provides appropriate equipment using equipment recommendation means based on information entered by the user and acquired external data. The voice guidance output means provides route information and historical information to the user using information of interest and linked voice output functions. The server recognizes landmarks and transmits background information to the terminal using historical information provision means. Image analysis means is used to recognize the surrounding scenery and landmarks using an image acquisition device and to analyze the background information.

[0735] For example, if a user points their camera towards the summit while hiking, the voice guidance system will explain, "This is a famous summit, beloved by many hikers in the past." Furthermore, if a sudden weather change is predicted, the risk assessment system will issue a warning such as, "Please be careful, there is a predicted weather change."

[0736] The hardware and software used include a location information acquisition device, an audio output device, OpenCV as an image processing library, gTTS as speech generation software, and the requests module for acquiring external data. Examples of prompts include "Describe the landmarks in this image" and "Tell me a safe hiking route depending on the weather."

[0737] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0738] Step 1:

[0739] The server obtains the user's current location from a location information acquisition device. Using this input data, an information processing system generates guidance suitable for the climber. The generated guidance information is then transmitted to the terminal.

[0740] Step 2:

[0741] The server acquires real-time weather and topographic information through external data sources. This information is analyzed using risk assessment tools to evaluate potential risks. The evaluation results are generated as warning messages and sent to terminals.

[0742] Step 3:

[0743] The terminal calculates the optimal hiking route using a route planning system based on guidance information and risk assessment received from the server. Using guidance information and assessment results as input, it generates route information to be presented to the user as output.

[0744] Step 4:

[0745] The user uses the camera to point at the device and capture images of landscapes or landmarks of interest. The device then sends these images to an image analysis system to recognize landmarks and identify background information. The resulting background information is then provided to the user.

[0746] Step 5:

[0747] Based on the user's climbing objectives and the season, the system uses equipment recommendation tools to generate a list of necessary equipment. This list is created using the user's input data and is displayed on the device as a reference for preparation.

[0748] Step 6:

[0749] The terminal utilizes voice guidance output methods to provide audio information about landmarks and route guidance transmitted from the server. The audio data used is pre-processed and output in a format that is easy for the user to understand.

[0750] Step 7:

[0751] When a user inputs their individual interests and physical abilities into the plan generation system, the system generates a suitable climbing plan in real time. This plan is optimized for each individual user and delivered via the device.

[0752] 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.

[0753] This invention is a system that provides comprehensive guidance and support to mountain climbers, and in particular aims to improve the mountain climber's experience by incorporating an emotion engine that recognizes the user's emotions in real time and makes appropriate suggestions accordingly.

[0754] This system primarily consists of a server, terminals, and an emotion engine, and operates based on user input and data from the environment. First, the user uses a terminal to input information about their desired hiking route. The terminal sends this information to the server, which retrieves the latest map data and weather information, calculates the optimal route using an AI algorithm, and sends it back to the terminal.

[0755] At this time, the emotion engine equipped in the terminal analyzes the user's facial expressions, voice, and other biometric information to recognize the user's emotional state in real time. The server receives this emotional data and, if necessary, adjusts the climbing route or generates and sends suggestions to the terminal to reduce stress and fatigue.

[0756] For example, if the device detects fatigue in the user, it will, based on instructions from the server, suggest route changes or rest points. Also, if the user is feeling stressed during the climb, the device will display relaxing scenery and suggest comfortable equipment.

[0757] Furthermore, the server analyzes the user's emotional data over the long term to create a personalized climbing plan. This plan takes into account past emotional states and preferred activities, which can be used to help plan future climbs.

[0758] Thus, by incorporating an emotion engine, the present invention makes it possible to provide detailed guidance and support that meets the user's psychological and physical needs, thereby offering a safer and more comfortable mountain climbing experience.

[0759] The following describes the processing flow.

[0760] Step 1:

[0761] The user enters basic information such as their desired hiking route and departure time into their device. The device receives this information and sends it to the server.

[0762] Step 2:

[0763] The server accesses a map database based on information received from the terminal and collects the latest map data, weather information, and congestion status related to the target hiking route.

[0764] Step 3:

[0765] The server uses the collected data to calculate the optimal climbing route using an AI algorithm. Factors considered in this calculation include route safety, distance, estimated time, and weather conditions.

[0766] Step 4:

[0767] The server sends the calculated optimal route information to the terminal. The terminal then guides the user through the received route information visually and audibly.

[0768] Step 5:

[0769] The emotion engine built into the device analyzes the user's facial expressions, voice, heart rate, and other biometric signals in real time to recognize the user's emotional state.

[0770] Step 6:

[0771] The server receives emotional data sent from the terminal and decides on appropriate actions based on it. For example, if it detects high stress levels, it may adjust the route or suggest taking a break.

[0772] Step 7:

[0773] Based on the results of the emotion engine, the server provides the terminal with guidance on resting places and scenery as needed, as well as suggestions for comfort equipment. The terminal then notifies the user of this.

[0774] Step 8:

[0775] The server accumulates user emotional data over long periods and analyzes past emotional history. This analysis is then used to customize future climbing plans for the user.

[0776] Step 9:

[0777] Users will adjust their climbing plans as needed based on the suggested information, ensuring a safe and enjoyable climb.

[0778] (Example 2)

[0779] 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".

[0780] Modern outdoor activities, particularly mountaineering, require flexible responses tailored to the natural environment and the individual circumstances of each participant. However, existing systems fail to adequately consider users' emotional states and long-term activity histories, making it difficult to improve safety and the quality of the experience. As a result, there are problems such as a lack of appropriate support, the potential for risks, and a decline in the quality of the mountaineering experience.

[0781] 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.

[0782] In this invention, the server includes emotion analysis means for recognizing emotional states and generating suggestions based on them; emotion data analysis means for analyzing the user's emotional information over the long term and generating personalized action plans; and user state monitoring means for recognizing the user's state using visual and auditory information and providing appropriate guidance. This makes it possible to provide detailed support and guidance that takes into account the user's psychological state and behavioral history.

[0783] "Location information acquisition means" refers to devices or functions that identify the user's current location and provide geographical location information.

[0784] "Information processing means" refers to devices or functions that generate optimal guidance information based on location information and user input.

[0785] A "risk assessment tool" is a device or function that analyzes weather and topographic information and warns users of potential dangers.

[0786] A "route planning means" is a device or function that calculates and presents the optimal route for the user in real time.

[0787] "Equipment recommendation means" refers to devices or functions that suggest appropriate equipment according to the purpose of the activity and the season.

[0788] "Emotional analysis means" refers to devices or functions that recognize a user's emotional state in real time and generate suggestions based on that.

[0789] "Emotional data analysis tools" refer to devices or functions that analyze users' emotional information over the long term and generate personalized action plans.

[0790] "User status monitoring means" refers to devices or functions that recognize the user's status using visual or auditory information and provide appropriate guidance.

[0791] This invention is a system that operates using a server, terminals, and an emotion engine to provide comprehensive guidance and support to mountain climbers. In particular, it aims to improve the mountain climbing experience by incorporating emotion analysis means that recognize the user's emotions in real time.

[0792] The server is a high-performance data processing device that uses AI algorithms to analyze data based on location and hiking route information sent by users. It has the ability to obtain the latest map data and weather information via API and calculate the optimal route in real time. Furthermore, it accumulates emotional data sent by users over the long term and generates personalized hiking plans using emotional data analysis tools.

[0793] The terminal is a device that receives user input and has the function of sending entered climbing information to a server. Furthermore, the terminal is equipped with an emotion engine and can analyze the user's emotional state by acquiring biometric information using a camera, microphone, and various sensors. It also functions as an interface that visually displays route information and suggestions sent from the server.

[0794] Users input their hiking destination, departure time, and desired route information using their device. During the hike, they are expected to use the real-time information and suggestions provided to ensure a safe and enjoyable climb.

[0795] For example, when a user tries a new hiking route, they input destination information into their device and send it to the system. Based on this information, the system suggests the optimal route considering the weather and terrain, and constantly monitors the user's emotional state during the hike, providing appropriate suggestions and support. An example of a prompt message would be: "A hiker appears to be feeling tired. Based on this information, please suggest an easier route to the summit and appropriate rest points. Also, please guide the user to recommended scenic spots where they can refresh themselves."

[0796] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0797] Step 1:

[0798] The user uses the terminal to input their desired hiking route, destination, and departure time. This information becomes the input data. Specifically, this data is entered via the terminal's input form, and the terminal temporarily stores it in its internal database.

[0799] Step 2:

[0800] The terminal packets the entered climbing information and sends the data to the server. This step includes how the entered information is sent to the server. Specifically, the terminal uses its network communication function to send the input data to the server, where it is received.

[0801] Step 3:

[0802] Based on the data received from the user, the server calls map APIs and weather APIs to obtain necessary external data. This becomes the additional input data. Based on this data, the server's generating AI model calculates the optimal route. In this process, the server performs data processing and calculations to generate the output of the optimal route.

[0803] Step 4:

[0804] The server sends the calculated optimal route back to the terminal. Specifically, the server stores the route information it generates in a data packet and forwards it to the terminal, where the terminal receives the data. This output data is then prepared for presentation to the user.

[0805] Step 5:

[0806] The device's emotion engine activates and analyzes the user's emotional state in real time. In this step, the emotional state is determined by an emotion analysis algorithm using input data from the camera, microphone, and sensors. The results of this analysis become the input data for the next process.

[0807] Step 6:

[0808] The terminal sends user emotion data, which is the result of the analysis, to the server. The terminal encrypts the emotion data and transfers it to the server. This output data is received by the server and forms the basis for further processing.

[0809] Step 7:

[0810] The server analyzes the received emotional data and generates adjustments and suggestions for the climbing route as needed. Specifically, an AI model creates suggestions based on the emotional data and prepares to send the output to the terminal.

[0811] Step 8:

[0812] The server sends generated suggestions to the terminal, which receives them and presents them to the user. The terminal displays the suggestions on the screen using a visual interface and provides voice assistance as needed. At this stage, the analyzed data becomes output that helps the user take specific actions.

[0813] (Application Example 2)

[0814] 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".

[0815] When hikers and other users engage in activities in natural environments, there is a need for detailed guidance and support that goes beyond mere maps and weather information, taking into account the user's psychological state and physical condition. Conventional technology is insufficient in providing guidance that considers the user's emotional state, and as a result, the user's safety and comfort may not be fully ensured. Therefore, a system is needed that analyzes the user's emotional state in real time and provides optimal suggestions and adjustments accordingly.

[0816] 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.

[0817] In this invention, the server includes location information acquisition means, information processing means, risk assessment means, route planning means, equipment recommendation means, emotion analysis means, personalized guidance means, and image analysis means. This enables real-time optimal guidance and support for safe and comfortable travel, taking into account the user's emotional state, physical condition, and interests.

[0818] A "location information acquisition means" is a device that acquires location information and accurately identifies the user's current location.

[0819] "Information processing means" refers to a device or system for generating user-appropriate guidance based on acquired information.

[0820] A "risk assessment tool" is a device that analyzes weather and topographic information to warn users of potential risks.

[0821] A "route planning means" is a function that calculates and presents the optimal travel route for the user in real time.

[0822] The "equipment recommendation system" is a function that recommends necessary equipment to users according to their travel purpose and the season.

[0823] An "emotion analysis system" is a system that analyzes a user's emotional state in real time and makes appropriate suggestions based on that information.

[0824] A "personalized guidance system" is a mechanism that adjusts routes and suggestions based on emotional data to provide personalized guidance to users.

[0825] "Image analysis means" refers to technology that acquires images, recognizes landscapes and landmarks based on those images, and provides background information to the user.

[0826] The embodiments for carrying out the invention are as follows:

[0827] This system begins with the user terminal determining its current location using a location information acquisition mechanism. The terminal transmits the location information to a server, which then calculates the optimal travel route based on this information. A route planning mechanism generates the safest and most efficient route in real time, taking into account terrain data and weather information. Furthermore, the server uses a risk assessment mechanism to evaluate potential hazards and warns the user in advance.

[0828] The device acquires the user's facial expressions and voice data through emotion analysis, and analyzes this data using cloud services such as the Google Cloud Vision API and the Speech-to-Text API. The analysis results capture the emotional state in real time, and personalized guidance is used to generate special suggestions tailored to the user's state. For example, if the user is feeling stressed, a relaxing scenic route will be recommended.

[0829] Furthermore, this system is equipped with image analysis capabilities to recognize landscapes and landmarks that users might find interesting during their travels, and provides related information. This allows users to not only travel but also gain interesting information, enabling a more enriching experience.

[0830] A concrete example is a scenario where, while hiking, a robot performs facial recognition on a user, senses their emotional state, and then suggests to the user, "Let's take a short break here. The view is beautiful." This operation is performed using an input prompt to an existing generative AI model such as, "User's current mood suggests stress; recommend a scenic route to alleviate stress levels."

[0831] Thus, the present invention enables detailed guidance and support for users, and by utilizing cloud technology in each process from information acquisition to guidance generation, it enables a high degree of personalization.

[0832] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0833] Step 1:

[0834] The device uses location information acquisition means, such as GPS sensors, to obtain the user's current location. This location information becomes input data and is sent from the device to the server. The server prepares to calculate the optimal travel route based on this information.

[0835] Step 2:

[0836] The server obtains the latest weather and topographic information based on the user's location. This data is provided to a risk assessment system to analyze potential risks. If a danger is detected, the server generates a warning message and sends it to the terminal.

[0837] Step 3:

[0838] The server combines its geospatial and meteorological information to calculate the optimal travel route using a route planning system. This calculation selects a route based on factors such as the shortest distance to the destination, safety, and user preferences. The calculation results are sent to the terminal as route guidance data.

[0839] Step 4:

[0840] The device uses emotion analysis tools to collect user facial expressions and voice data from the camera and microphone, and uses this as input to analyze the user's emotional state. Data processing is performed using the Google Cloud Vision API and Speech-to-Text API, and the user's emotional state is output. Based on this, the server generates further suggestions that are more suitable for the user.

[0841] Step 5:

[0842] The server uses emotional state data as input to create special suggestions using a personalized guidance method powered by a generative AI model. When generating these suggestions, prompts tailored to the user's state are utilized. The created suggestions are then sent to the device.

[0843] Step 6:

[0844] The device acquires landscape data from the camera through image analysis and performs image recognition processing. It analyzes the acquired image data to recognize landmarks and collects related information. This information is then displayed on the device as content designed to interest the user.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] 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.

[0851] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0852] 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.

[0853] 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."

[0854] 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.

[0855] 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.

[0856] 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.

[0857] 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.

[0858] 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.

[0859] 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.

[0860] 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.

[0861] 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.

[0862] 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.

[0863] 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.

[0864] 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.

[0865] 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.

[0866] The following is further disclosed regarding the embodiments described above.

[0867] (Claim 1)

[0868] An information processing means that generates guidance suitable for climbers based on location information from a location information acquisition device,

[0869] A risk assessment tool that analyzes weather and topographic information to warn climbers of potential risks,

[0870] A route planning system that calculates the optimal climbing route in real time and presents it to climbers,

[0871] Equipment recommendations are provided to suggest equipment appropriate for the purpose and season of mountain climbing.

[0872] A system that includes this.

[0873] (Claim 2)

[0874] The system according to claim 1, comprising a plan generation means that generates an individualized climbing plan that takes into account the climber's interests and physical condition in real time.

[0875] (Claim 3)

[0876] The system according to claim 1, comprising an image analysis means that recognizes landscapes and landmarks using an image acquisition device and provides background information thereof.

[0877] "Example 1"

[0878] (Claim 1)

[0879] An information processing means that generates guidance suitable for climbers based on location information,

[0880] A risk assessment tool that analyzes weather and topographic information to warn climbers of potential risks,

[0881] A route planning tool that calculates the optimal climbing route and presents it to climbers,

[0882] A means of providing equipment recommendations that are tailored to the purpose and environment of mountain climbing,

[0883] An adaptive route planning means that integrates external information acquired in real time to correct the optimal route,

[0884] A system that includes this.

[0885] (Claim 2)

[0886] The system according to claim 1, comprising means for generating an individualized climbing plan that takes into account the climber's interests and physical condition.

[0887] (Claim 3)

[0888] The system according to claim 1, comprising an image analysis means that recognizes landscapes and landmarks using a camera and provides background information thereof.

[0889] "Application Example 1"

[0890] (Claim 1)

[0891] An information processing means that generates guidance suitable for climbers based on location information from a location information acquisition device,

[0892] A risk assessment tool that analyzes weather and topographic information to warn climbers of potential risks,

[0893] A route planning system that calculates the optimal climbing route in real time and presents it to climbers,

[0894] Equipment recommendations are provided to suggest equipment appropriate for the purpose and season of mountain climbing.

[0895] A means of providing historical information that recognizes famous places and provides background information about them,

[0896] A voice guidance output means that presents information using information of interest and linked voice output functions,

[0897] A system that includes this.

[0898] (Claim 2)

[0899] The system according to claim 1, comprising a plan generation means that generates an individualized climbing plan that takes into account the climber's interests and physical condition in real time.

[0900] (Claim 3)

[0901] The system according to claim 1, comprising an image analysis means that recognizes landscapes and landmarks using an image acquisition device and provides background information thereof.

[0902] "Example 2 of combining an emotion engine"

[0903] (Claim 1)

[0904] An information processing means that generates guidance suitable for the user based on location information obtained from a location information acquisition means,

[0905] A risk assessment tool that analyzes weather and topographic information and warns users of potential risks,

[0906] A route planning method that calculates the optimal route in real time and presents it to the user,

[0907] Equipment recommendation methods that recommend equipment appropriate to the purpose of the activity and the season,

[0908] An emotion analysis means that recognizes an emotional state and generates a proposal based on it,

[0909] A means of analyzing user emotional information over the long term and generating personalized action plans,

[0910] A system that includes this.

[0911] (Claim 2)

[0912] The system according to claim 1, comprising a suggestion generation means that considers the user's psychological state in real time and provides personalized suggestions.

[0913] (Claim 3)

[0914] The system according to claim 1, comprising a user state monitoring means that recognizes the user's state using visual and auditory information and provides appropriate guidance.

[0915] "Application example 2 when combining with an emotional engine"

[0916] (Claim 1)

[0917] An information processing means that generates guidance suitable for the user based on location information obtained from a location information acquisition means,

[0918] A risk assessment tool that analyzes weather and topographic information and warns users of potential risks,

[0919] A route planning system that calculates the optimal travel route in real time and presents it to the user,

[0920] Equipment recommendation methods that recommend equipment according to the purpose of travel and the season,

[0921] An emotion analysis method that analyzes emotional states in real time and generates suggestions tailored to the user's psychological state,

[0922] A personalized guidance system that adjusts routes and suggestions based on emotional data to provide personalized guidance,

[0923] A system that includes this.

[0924] (Claim 2)

[0925] The system according to claim 1, comprising a plan generation means that generates an individualized travel plan by taking into account the user's interests, physical condition, and emotional state in real time.

[0926] (Claim 3)

[0927] The system according to claim 1, comprising an image acquisition means for recognizing landscapes and landmarks, and an image analysis means for providing background information and a relaxing effect through emotion analysis. [Explanation of symbols]

[0928] 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. An information processing means that generates guidance suitable for climbers based on location information from a location information acquisition device, A risk assessment tool that analyzes weather and topographic information to warn climbers of potential risks, A route planning system that calculates the optimal climbing route in real time and presents it to climbers, Equipment recommendations are provided to suggest equipment appropriate for the purpose and season of mountain climbing. A means of providing historical information that recognizes famous places and provides background information about them, A voice guidance output means that presents information using information of interest and linked voice output functions, A system that includes this.

2. The system according to claim 1, comprising a plan generation means that generates an individualized climbing plan that takes into account the climber's interests and physical condition in real time.

3. The system according to claim 1, comprising an image analysis means that recognizes landscapes and landmarks using an image acquisition device and provides background information thereof.

Images