System

Abstract

A system is provided.SOLUTION: A system comprising: means for inputting desired distance information by a user; means for acquiring current location information; means for linking a generative AI model for calculating a generated route with a map service; means for generating route information based on the designated distance; means for transmitting the generated route information to a user device; and means for displaying the route information on the user device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] The present invention aims to provide a system that allows ordinary users who enjoy walking or running to easily generate new walking routes. The purpose is to solve the problems of users getting bored of the same routes on their daily walks or runs, and the difficulty of finding the best walking route in a new location. [Means for solving the problem]

[0005] The present invention provides a system that includes a means for a user to input desired distance information, a means for acquiring current location information, a means for linking a map service with a generative AI model for calculating the generated route, a means for generating route information based on the specified distance, a means for transmitting the generated route information to the user's device, and a means for displaying the route information on the user's device, thereby enabling a user to easily generate a new loop walking course based on the specified distance and enjoy it safely and conveniently.

[0006] "User" refers to an individual who uses the System to specify a walking or running route and input instructions.

[0007] "Desired distance information" refers to the number the user specifies as the total distance of their walking or running route.

[0008] "Location Information" means your real-time geographic location obtained from the GPS or other location information system installed on your device.

[0009] "Generative AI Model" refers to an artificial intelligence model that is trained to calculate and generate optimal routes based on provided data and specified conditions.

[0010] "Map Service" means an online map service that provides geographic information and is used to obtain data for route planning.

[0011] "Route information" refers to data on walking or running routes generated based on conditions entered by the user.

[0012] "Terminal" refers to electronic devices such as smartphones, tablets, and PCs that users use to access the system. [Brief explanation of the drawings]

[0013] [Figure 1]1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[0014] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

[0017] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0018] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0019] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0026] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] 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 of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0033] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0034] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and obtaining the user's current location information. This system works by linking a generative AI model with a map service.

[0035] The user starts the system using a device such as a smartphone or PC and inputs the desired walking distance. For example, if the user inputs "5km," the device sends this information and the user's current location information (obtained by GPS) to the server.

[0036] The server retrieves route information using an online map service based on the current location and desired distance. This can be done using a map service such as Google Maps API. The server uses the API to retrieve route information within the specified distance around the current location.

[0037] The server then uses the acquired route information to generate an AI model that calculates the optimal loop walking route based on the specified distance, taking into account factors such as safety and convenience.

[0038] The generated route information is sent from the server to the user's device, which then visually displays the route information to the user by drawing the route on a map for easy viewing.

[0039] As a specific example, consider a case where a user is located in Tokyo and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location, the server uses the Google Maps API to obtain route information around Tokyo. Next, a generative AI model uses this information to create a 5km loop route around a specific area of ​​Tokyo. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0040] This system allows users to easily discover new walking and running routes and enjoy daily exercise, while also contributing to maintaining their health by providing safe and convenient routes.

[0041] The present invention can provide new possibilities for users who are tired of the same routes or who are looking for walking courses in new places.

[0042] The processing flow will be explained below.

[0043] Step 1:

[0044] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and allows the use of GPS.

[0045] Specific actions

[0046] The user inputs the desired distance for a walk or run.

[0047] Allows the user to use the device's GPS functionality.

[0048] Step 2:

[0049] The device receives the user's input information, obtains the current location information (GPS location information), and then sends the desired distance and the current location information to the server.

[0050] Specific actions

[0051] Format the distance information and current location information entered by the user into JSON format.

[0052] Sends data to the server's API endpoint.

[0053] Step 3:

[0054] The server receives the user's distance information and current location information sent from the device and obtains route information using the Google Maps API.

[0055] Specific actions

[0056] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0057] Get basic route information via points based on desired distance.

[0058] Step 4:

[0059] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0060] Specific actions

[0061] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0062] Adjust your route to fit a specified distance and create a safe and convenient loop course.

[0063] Step 5:

[0064] The server converts the generated route information into JSON format and sends it to the user's device.

[0065] Specific actions

[0066] Format the generated route information into JSON format.

[0067] Route information is sent to the device as an API response.

[0068] Step 6:

[0069] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0070] Specific actions

[0071] Generate an HTML file for map display and draw route information on the map.

[0072] A browser is opened and the generated map information is displayed to the user.

[0073] This processing step allows the user to easily generate a loop walking course based on a specified distance and enjoy a new walking route.

[0074] Example 1

[0075] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0076] For users who go for a walk or run, planning a new route every time is not only time-consuming, but also difficult to ensure safety and convenience. For users who are tired of the same route or looking for the best route in a new area, providing effective and safe routes is a challenge.

[0077] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0078] In this invention, the server includes a means for inputting desired distance information by the user, a means for acquiring current location information, a means for acquiring route information using an online map service, a means for generating an optimal route based on the specified distance using a generative AI model, a means for transmitting the generated route information to the user's device, and a means for displaying the route information on the user's device, allowing the user to easily find new walking or running routes and enjoy safe and convenient routes every time.

[0079] "User" refers to an individual who intends to use the system to generate a walking or running route.

[0080] "Distance information" refers to data indicating the distance a user wishes to travel for a walk or run.

[0081] "Current location information" refers to latitude and longitude data indicating the user's current location, obtained using the GPS function of the user's device, etc.

[0082] "Online map service" means a service that provides map information available via the Internet, including an API for obtaining route information.

[0083] A "generative AI model" is a model that uses artificial intelligence technology to analyze data and calculate and generate the optimal route based on specific conditions.

[0084] "Route information" refers to data that indicates the route or path a user will follow based on a specified distance.

[0085] "Terminal" refers to a digital device used by a user, such as a smartphone, PC, or tablet.

[0086] "Server" refers to the computer system that performs the central processing of this system and generates and provides route information through data communication with terminals.

[0087] "Display means" refers to a screen or application on the user's device that visually displays the received route information.

[0088] A "loop walking course" is a walking or running route designed to return to the starting point, and is calculated so that the total distance approaches the user's desired distance.

[0089] The present invention is a system that generates walking or running routes based on the specified distance by inputting the user's desired distance information and obtaining the user's current location information. This system functions by linking a generative AI model with a map service. Specific embodiments for implementing the present invention are described below.

[0090] Users start the system using a device such as a smartphone or PC and input the desired walking distance. For example, if they input "5km," the device sends this information and their current location information (obtained by GPS) to the server.

[0091] The server obtains route information using an online map service based on the received current location and desired distance. Examples of online map services that can be used include Google Maps API and other map APIs. The server uses these APIs to obtain route information within the specified distance around the current location.

[0092] The server then utilizes a generative AI model based on the acquired route information. The AI ​​model calculates the optimal loop walking course based on the specified distance, taking into account factors such as safety and convenience. The generative AI model generates the optimal route based on data such as the route length, terrain, and traffic conditions.

[0093] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The user can check the route on the device screen and follow it for a walk or run.

[0094] As a specific example, consider a case where a user is located in a certain location in City A and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location information, the server uses the Google Maps API to obtain route information around City A. Next, the generative AI model uses this information to create a 5km loop route that goes around a specific area of ​​City A. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0095] Examples of prompts include the following:

[0096] "The user's current location is xxx in city A, and they would like to take a 5km walking course. Please suggest the best loop walking course around their current location."

[0097] This system allows users to easily discover new walking and running routes and enjoy daily exercise. It also contributes to maintaining users' health by providing safe and convenient routes. This invention offers new possibilities for users who are tired of the same old routes or who are looking for walking courses in new places.

[0098] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0099] Step 1:

[0100] The user inputs the desired distance information.

[0101] Specific operation: The user launches the dedicated application on the device and inputs the desired walking or running distance (e.g., "5km") into the interface. This input is sent to the device in text format.

[0102] Input: Distance information entered by the user (e.g., "5km")

[0103] Output: The desired distance information is saved on the device.

[0104] Step 2:

[0105] The device obtains the current location information.

[0106] How it works: The device's GPS function is used to determine the user's current location. The current location is obtained in the form of latitude and longitude, and the result is saved on the device.

[0107] Input: GPS function of the device

[0108] Output: Current location information (e.g., latitude 35.6895, longitude 139.6917) is stored on the device.

[0109] Step 3:

[0110] The device sends the desired distance and current location information to the server.

[0111] Specific operation: The device sends the acquired current location information and the desired distance information entered by the user together to the server, specifically using an HTTP POST request.

[0112] Input: distance information, current location information

[0113] Output: Desired distance and current location are sent to the server

[0114] Step 4:

[0115] The server obtains route information using an online map service.

[0116] Specific operation: The server sends a request to a map API (e.g., Google Maps API) based on the received current location and distance information. It receives route information returned from the API. This route information is data on routes and paths within a specified distance.

[0117] Input: current location information, desired distance information

[0118] Output: Route information obtained by the server

[0119] Step 5:

[0120] The server generates the optimal route using a generative AI model.

[0121] How it works: The server passes the acquired route information to the generation AI model. The model then uses this information to generate an optimal loop walking course based on the specified distance. Safety and convenience are also taken into consideration during the generation process.

[0122] Input: Route information

[0123] Output: Generated optimal route information

[0124] Step 6:

[0125] The server transmits the generated route information to the terminal.

[0126] How it works: The server compiles the optimal route information obtained from the generative AI model and sends it to the user's device, again via an HTTP POST request.

[0127] Input: Optimal route information

[0128] Output: Optimal route information sent to the terminal

[0129] Step 7:

[0130] The route information received by the device is visually displayed to the user.

[0131] Specific operation: The device analyzes the received optimal route information and visually displays it to the user using the map display function of the dedicated application. The route is drawn on the map, and the user can check the route and go for a walk or run.

[0132] Input: Optimal route information

[0133] Output: Route information displayed on a map

[0134] (Application example 1)

[0135] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0136] In today's world, delivery work is rapidly increasing, making efficiency and safety important issues. Food delivery, in particular, requires delivery personnel to arrive at their destinations quickly and safely. However, existing navigation systems have the problem of being unable to provide optimal routes in real time that take safety and time efficiency into consideration. This often leads to delivery personnel getting lost or choosing dangerous routes. Therefore, there is a need for a system that allows delivery personnel to select routes efficiently and safely.

[0137] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0138] In this invention, the server includes a means for inputting distance information desired by the user, a means for acquiring current location information, a means for linking a generating AI model for calculating the generated route with a map service, a means for generating an optimal route taking safety and time efficiency into consideration, a means for transmitting the generated route information to the user's terminal, and a means for displaying the route information on the user's terminal, thereby enabling the delivery person to obtain the optimal route from the current location to the destination in real time and make the delivery efficiently and safely.

[0139] A "means for inputting desired distance information" is an input device that a user uses to specify a particular distance.

[0140] A "means for obtaining current location information" is a device or function that identifies the user's current location and provides that information to the system.

[0141] "Generative AI model for calculating generated routes" means an artificial intelligence model used to calculate the optimal route based on the user's desired conditions.

[0142] "Means for linking map services" refers to a service that links generative AI models with map information to assist in route calculation.

[0143] The "means for generating route information based on a specified distance" is a process or function that creates an optimal route based on the distance entered by the user.

[0144] "Means for transmitting the generated route information to the user's device" means a communications function that transfers the calculated route information to the user's device.

[0145] "Means for displaying route information on a user's terminal" refers to a display device or function that allows a user to visually check route information.

[0146] "A means for generating the optimal route taking into consideration safety and time efficiency" is a calculation function for selecting a safe and time-efficient route in delivery operations.

[0147] The "optimal route" is a route that takes into maximum consideration travel time and safety to the destination.

[0148] DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a system for generating efficient and safe routes in delivery work. DETAILED DESCRIPTION OF THE INVENTION The following describes in detail an embodiment of the present invention.

[0149] The system has the following main features:

[0150] 1. A means for users to input desired distance information: Users input desired delivery distance information using an input device such as a smartphone or tablet.

[0151] 2. How to obtain current location information: The system uses GPS to obtain the delivery person's current location. This can be achieved through various GPS modules or GPS sensors built into smart devices.

[0152] 3. Linking the generative AI model with a map service: The server uses Google Maps API or a similar map service to link the generative AI model with map information, thereby effectively generating delivery route information.

[0153] 4. A method for generating route information based on a specified distance: Generates the optimal route based on the specified distance entered by the user. This process calculates the route taking into account the specified distance and the current location.

[0154] 5. A means to generate optimal routes taking into account safety and time efficiency: Based on input information, the generative AI model optimizes routes to maximize delivery safety and time efficiency.

[0155] 6. Means for sending generated route information to user's device: The optimized route information is sent from the server to the user's device using a communication protocol such as HTTP or HTTPS.

[0156] 7. Displaying route information on the user's device: The user's device visually displays the route information sent to them. This can be done through a smartphone map app or a dedicated display application.

[0157] Operational Overview

[0158] When a user actually uses the system, they first input the specified distance on their smartphone or tablet to obtain their current location information. This information is sent to the server, where the generative AI model and map service work together to generate the optimal route. The generated route takes safety and time efficiency into consideration and is designed to enable delivery personnel to reach their destination efficiently.

[0159] Specific examples

[0160] For example, suppose a delivery person requests the "optimal route within 5km." In this case, the delivery person enters "5km" into their smartphone and provides their current location information. The server uses the Google Maps API to obtain route information around the current location, and the generative AI model calculates the optimal route based on this information. The generated route is sent to the delivery person's device and displayed on a map.

[0161] Prompt Sentence Examples

[0162] "Optimize the following route for safety and efficiency:\n{JSON string of route information}"

[0163] The server uses these prompts to provide optimization instructions to the generative AI model, allowing delivery workers to choose safer and more efficient routes.

[0164] This will significantly improve the efficiency and safety of delivery operations and reduce the burden on delivery personnel.

[0165] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0166] Step 1:

[0167] The user inputs the desired delivery distance information using a device such as a smartphone or tablet. The input distance information (e.g., "5km") is temporarily saved in the device and prepared for the next transmission. The input data is only distance information, and the route is generated based on this information.

[0168] Step 2:

[0169] The device acquires current location information. Using the GPS function, it collects current latitude and longitude data. The collected current location information is sent to the server along with distance information. The input is GPS data, and the output is the current location coordinate data.

[0170] Step 3:

[0171] The server receives the current location and desired distance information from the device and uses a map service (e.g., Google Maps API) to obtain route information within the specified distance from the current location. The server sends the current location and desired distance to the map service and temporarily stores the obtained route information for use in the next step. The input is the current location and distance information, and the output is tentative route information.

[0172] Step 4:

[0173] The server uses the generative AI model to optimize the route information obtained from the map service. Here, the AI ​​model recalculates the route based on the prompt to take safety and time efficiency into account. An example of the prompt used is "Optimize the following route for safety and efficiency:\n{JSON string of route information}". The input is tentative route information and the prompt, and the output is optimized route information.

[0174] Step 5:

[0175] The server sends the optimized route information back to the user's device. Data is securely transferred using HTTP or HTTPS communication protocols. The input is the optimized route information, and the output is the route information transferred to the device.

[0176] Step 6:

[0177] The device visually displays the optimized route information received. Users can check the optimal route on a map through a map display application or a dedicated viewer. The input is the optimized route information, and the output is a visual display on the map.

[0178] This system allows users to efficiently and safely obtain routes to their destinations and proceed with delivery work.

[0179] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0180] This system generates walking or running routes based on the distance a user wants to travel by inputting the user's desired distance and acquiring the user's current location information. Furthermore, this system is characterized by its ability to propose optimal routes that take into account the user's emotional state by incorporating an emotion engine.

[0181] The user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. The device then analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0182] The device sends the user's desired distance, current location information, and emotional state to the server. Based on the received information, the server obtains route information using map services such as Google Maps API. Next, the generated AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0183] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses the Google Maps API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0184] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0185] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0186] This invention offers new possibilities that take into account emotional states for users who are tired of the same old routes or who are looking for new walking courses, and can add variety to the way users enjoy walking or running, contributing to maintaining health and changing moods.

[0187] The processing flow will be explained below.

[0188] Step 1:

[0189] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and authorizes the use of GPS. Furthermore, they authorize the use of the camera and microphone to recognize the user's emotional state.

[0190] Specific actions

[0191] The user inputs the desired distance for a walk or run.

[0192] Allows the user to use the device's GPS functionality.

[0193] The user allows the device's camera and microphone to be used.

[0194] Step 2:

[0195] The device receives user input information and obtains current location information (GPS location information), while simultaneously analyzing the user's emotional state using a camera and microphone.

[0196] Specific actions

[0197] Obtain distance information and current location information entered by the user.

[0198] The camera and microphone collect data on the user's facial expressions and voice, and the emotion engine analyzes their emotional state.

[0199] Emotional state information is obtained as the analysis result.

[0200] Step 3:

[0201] The device transmits the desired distance, current location information, and emotional state information to the server.

[0202] Specific actions

[0203] The desired distance, current location information, and emotional state information are formatted into JSON format.

[0204] Sends data to the server's API endpoint.

[0205] Step 4:

[0206] The server receives the user's distance information, current location information, and emotional state information sent from the device, and obtains route information using the Google Maps API.

[0207] Specific actions

[0208] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0209] Get basic route information via points based on desired distance.

[0210] Step 5:

[0211] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0212] Specific actions

[0213] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0214] It adjusts your route to fit a specified distance and creates a loop course that takes your emotional state into account.

[0215] Step 6:

[0216] The server converts the generated route information into JSON format and sends it to the user's device.

[0217] Specific actions

[0218] Format the generated route information into JSON format.

[0219] Route information is sent to the device as an API response.

[0220] Step 7:

[0221] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0222] Specific actions

[0223] Generate an HTML file for map display and draw route information on the map.

[0224] A browser is opened and the generated map information is displayed to the user.

[0225] This processing step allows users to easily generate a loop walking course based on a specified distance, and further allows users to enjoy the optimal walking route according to their emotional state, for example, a quiet route is provided if they want to relax.

[0226] Example 2

[0227] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0228] Conventional walking and running route generation systems only generate routes based on the user's current location information and desired distance information. As a result, they do not propose optimal routes that take into account the user's emotional state or mood, limiting user satisfaction and effectiveness. The present invention solves this problem by considering the user's emotional state and proposing loop walking courses that are optimal for each individual user.

[0229] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the emotional state of the user, a means for transmitting the acquired emotional state, current location information, and desired distance information to the server, a means for acquiring route information in conjunction with a map service, and a means for generating an optimal route based on a specified distance and emotional state using a generative AI model. This makes it possible to automatically generate and display an optimal route according to the emotional state of the user.

[0230] "Means for users to input desired distance information" refers to an interface on a device or software that allows a user to input the desired distance for a walk or run.

[0231] "Means for obtaining current location information" refers to devices or technologies for obtaining the user's current location information (latitude and longitude) using GPS or other location information services.

[0232] "Means for recognizing the user's emotional state" refers to a system or algorithm that uses a camera or microphone to analyze the user's facial expressions and tone of voice, and then uses an emotion engine to determine the user's emotional state.

[0233] The "means for transmitting the acquired emotional state, current location information, and desired distance information to the server" is a communication system for transmitting information such as emotional data, location information, and desired distance collected from the terminal to the server via a network.

[0234] "Means for obtaining route information by linking with a map service" refers to a service or technology that allows a server to obtain possible route information based on a specified point and distance using a map API.

[0235] "Means for generating an optimal route based on a specified distance and emotional state using a generative AI model" refers to an algorithm or system that uses a generative AI model to create an optimal walking or running route for a user based on the acquired route information and emotional state.

[0236] The "means for transmitting the generated route information to the user's terminal" refers to a communication means by which the server transfers the generated route information to the user's terminal.

[0237] "Means for displaying route information on a user's device" means an application or interface for visually displaying route information and maps on a user's device.

[0238] The present invention relates to a system that generates optimal walking or running routes by taking into account the user's emotional state when inputting desired distance information. Hereinafter, we will explain how to implement this system in detail.

[0239] The user starts the system using a device such as a smartphone or PC. The system provides an interface for the user to input the distance of their desired walk or run. For example, the user inputs the desired distance as "5km." The system also uses the GPS function to obtain the user's current location. If necessary, the system asks the user for permission to use the GPS.

[0240] The device then uses the built-in camera and microphone to recognize the user's emotional state by analyzing the user's facial expressions and tone of voice. For example, it uses technology like "Affectiva" as an emotion engine to determine the user's emotional state (relaxed, stressed, etc.).

[0241] The desired distance information, emotional state, and current location information entered by the user are sent from the device to the server. The server uses the received information to obtain route information using a map service (e.g., Google Maps API). Specifically, the server searches for possible routes within the desired distance from the user's current location.

[0242] The server then uses a generative AI model (such as GPT-4) to generate an optimal route based on the acquired route information and emotional state. For example, the generative AI model might suggest a route that includes a quiet park or a walking course that includes scenic spots. If the user's emotional state indicates a desire to relax, a route that includes relaxing elements will be generated.

[0243] The generated route information is sent from the server to the user's device, which then visually displays the route on a map based on the received route information.The user can then go for a walk or run while looking at this.

[0244] This system allows users to easily generate optimal walking or running routes based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently, contributing to maintaining their health and changing their mood.

[0245] A specific example of its use is a prompt sentence in which the user inputs "I want to know a 5km walking route from my current location" and conveys the emotional state they want to relax in. Based on this information, the server generates optimal walking courses, including quiet parks and scenic routes, and provides them to the user.

[0246] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0247] Step 1:

[0248] The user starts the system using a smartphone or PC. On the initial screen, the user enters the desired walking distance and authorizes the use of GPS. The data entered by the user is the desired distance information (e.g., "5km") and GPS permission information. This allows the system to recognize the user's desired distance and prepare to obtain current location information.

[0249] Specific behavior: The user launches the application, enters "5km", taps the "Next" button, and allows GPS use.

[0250] Step 2:

[0251] The device uses the GPS function to obtain the user's current location information. The latitude and longitude data obtained from the GPS is input, and by obtaining this, the current location information is obtained.

[0252] Specific operation: The device starts the GPS module and obtains the current latitude and longitude data. If the user selects "Allow", the GPS information will be obtained by the device.

[0253] Step 3:

[0254] The device uses a built-in camera and microphone to recognize the user's emotional state. The input data is the user's facial expressions and tone of voice, and the emotional state is analyzed using an emotion engine. The output is the analyzed emotional state (e.g., wanting to relax, feeling stressed, etc.).

[0255] What it does: The device activates the camera to capture the user's face, and the microphone records their voice in the background, sending this data to the emotion engine to analyze their emotional state.

[0256] Step 4:

[0257] The device sends the desired distance, current location information, and analyzed emotional state input by the user to the server. The input data is the desired distance information, current location information, and emotional state, and these are sent and passed to the server. The output is the transmission result to the server.

[0258] Specific operation: The device constructs an API request and sends the desired distance (5km), current location information (latitude and longitude), and emotional state to the server.

[0259] Step 5:

[0260] The server obtains route information using a map service. The input data is the current location information and desired distance information, and route information is obtained from the map API based on this. The output is possible route information.

[0261] Specific operation: The server calls the map service API and obtains route information (directions, distance, time, etc.) based on the specified latitude and longitude and desired distance.

[0262] Step 6:

[0263] The server uses a generative AI model to generate an optimal route based on the acquired route information and emotional state. The input data is the route information and emotional state, and the server calculates and generates the optimal route based on these. The output is the generated optimal route.

[0264] Specific operation: The server inputs route information and emotional state into the generated AI model, and based on the analysis results, generates an optimal walking course that includes relaxing parks and scenic spots.

[0265] Step 7:

[0266] The server sends the generated route information to the user's terminal. The input data is the generated optimal route information, and the output is the transmission result and the transmission data to the user's terminal.

[0267] Specific operation: The server sends the generated route information to the user terminal, and the terminal receives it.

[0268] Step 8:

[0269] The terminal visually displays the route on a map based on the received route information. The input data is the route information received from the server, and the output is the visual data displayed to the user.

[0270] Specific operation: The device launches the map application, plots the received route information on a map, and displays it so that the user can visually confirm it.

[0271] Through these steps, users can easily find the best walking or running route based on their desired distance and current emotional state.

[0272] (Application example 2)

[0273] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0274] Conventional walking and running route generation systems simply provide routes based on the user's desired distance, and are therefore unable to optimize routes that take into account the user's emotions and psychological state. As a result, there are issues with the system not providing appropriate routes that meet the user's psychological needs, such as boredom from repeatedly using the same route, and relaxation and stress relief.

[0275] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0276] In this invention, the server includes means for inputting distance information desired by the user, means for acquiring current location information, means for linking a map service with a generative AI model for calculating a generated route, means for generating route information based on the specified distance, means for recognizing the emotional state of the user, means for generating an optimal route based on the emotional state, means for transmitting the generated route information to the user's terminal, and means for displaying the route information on the user's terminal. This allows the server to provide an appropriate route according to the user's emotional state, improving the enjoyment of walking or running and eliminating boredom and dissatisfaction with psychological needs.

[0277] "Means for users to input desired distance information" refers to an interface that allows users to input the distance of their desired walk or run using their own device such as a smartphone or PC.

[0278] A "means for obtaining location information" is a device or system that obtains a user's current location in real time using GPS or other location information services.

[0279] "Means for linking a generative AI model with a map service to calculate a generated route" refers to a mechanism that combines a generative AI model with a map service (e.g., a map API) to calculate a route based on the user's desired distance and current location information.

[0280] The "means for generating route information based on a specified distance" refers to an algorithm or software for generating an appropriate route based on distance information entered by a user.

[0281] The "means for recognizing the user's emotional state" is a system that uses a camera, microphone, etc. to analyze the user's facial expressions and tone of voice, and determines the user's emotional state from the results.

[0282] The "means for generating optimal routes based on emotional state" refers to algorithms or software for selecting appropriate walking or running routes based on the user's emotional state.

[0283] "Means for transmitting generated route information to the user's terminal" refers to a communication system for sending the generated route information from the server to the user's smartphone, PC, etc.

[0284] The "means for displaying route information on the user's terminal" is an interface for drawing the received route information on a map and visually presenting it to the user.

[0285] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and acquiring the user's current location information. Furthermore, by combining this system with an emotion engine, it can propose optimal routes that take the user's emotional state into consideration.

[0286] First, the user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. Next, the device analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0287] The device sends the desired distance, current location information, and emotional state entered by the user to the server. Based on the received information, the server obtains route information using a map service. The map service can be, for example, a publicly available map API. Next, the generative AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0288] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses a map API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0289] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0290] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0291] The hardware used includes the user's device (smartphone or PC), GPS, camera, and microphone for acquiring location information. The software used includes map APIs (e.g., Google Maps API), generative AI models, and emotion engines. By using prompts such as "Please tell me a relaxing walking route within 5km of my current location," an appropriate route is generated based on the user's needs.

[0292] As an example of a definition, "means for users to input desired distance information" corresponds to a user interface (UI). "Means for acquiring current location information" corresponds to a GPS module or location information service, and "means for linking a generative AI model to calculate the generated route with a map service" corresponds to an API integration system. Furthermore, "means for recognizing the user's emotional state" corresponds to facial expression recognition or voice analysis technology, and "means for generating the optimal route based on the emotional state" corresponds to a machine learning algorithm. "Means for sending generated route information to the user's device" corresponds to an internet communication function, and "means for displaying route information on the user's device" corresponds to a graphical user interface (GUI).

[0293] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0294] Step 1:

[0295] The user inputs the desired distance information

[0296] The user launches the system using a smartphone or PC and inputs the desired walking distance. For example, they can input "5km." The input data is "distance information," and the specified distance information is recorded as output. This provides the basic data for generating a route based on distance.

[0297] Step 2:

[0298] Get current location information

[0299] The device obtains the user's current location using location services such as GPS. The input data is a "location request," and the output is the user's current location coordinates, which are used to calculate the route.

[0300] Step 3:

[0301] Recognize the user's emotional state

[0302] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice, and determines the user's current emotional state through an emotion engine. The input data is "video data and audio data," and the output is "emotional state," which is an important factor in route optimization.

[0303] Step 4:

[0304] Sending user input data to the server

[0305] The device sends desired distance information, current location information, and emotional state to the server. The input data includes "distance information," "location information," and "emotional state," and the output is the completion of transmission to the server.

[0306] Step 5:

[0307] Obtaining route information using a map service

[0308] The server calls the map API based on the received current location information and obtains route information based on the specified distance. The input data are "location information" and "distance information," and the output is "basic route information."

[0309] Step 6:

[0310] Optimize your route by taking your emotional state into account

[0311] The server inputs the acquired basic route information and emotional state into a generative AI model to generate the optimal route. This generative AI model has the function of adjusting the route according to the user's emotional state. The input data are "basic route information" and "emotional state," and the output is "optimized route information."

[0312] Step 7:

[0313] Sending optimized route information to your device

[0314] The server sends the generated optimized route information to the user's device. The input data is the "optimized route information," and the information is sent to the user's device as output.

[0315] Step 8:

[0316] Display route information on the user's device

[0317] The device draws the received route information on a map for easy viewing by the user. The input data is "optimized route information," and the output is the route drawn on the map. For example, a route based on the prompt "Please tell me a relaxing walking route within 5km of my current location" is displayed. This function allows the user to visually check the route optimized for distance and psychological state.

[0318] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0319] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0320] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0321] [Second embodiment]

[0322] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0323] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0324] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0325] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0326] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0327] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0328] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0329] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0330] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0331] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0332] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0333] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0334] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and obtaining the user's current location information. This system works by linking a generative AI model with a map service.

[0335] The user starts the system using a device such as a smartphone or PC and inputs the desired walking distance. For example, if the user inputs "5km," the device sends this information and the user's current location information (obtained by GPS) to the server.

[0336] The server retrieves route information using an online map service based on the current location and desired distance. This can be done using a map service such as Google Maps API. The server uses the API to retrieve route information within the specified distance around the current location.

[0337] The server then uses the acquired route information to generate an AI model that calculates the optimal loop walking route based on the specified distance, taking into account factors such as safety and convenience.

[0338] The generated route information is sent from the server to the user's device, which then visually displays the route information to the user by drawing the route on a map for easy viewing.

[0339] As a specific example, consider a case where a user is located in Tokyo and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location, the server uses the Google Maps API to obtain route information around Tokyo. Next, a generative AI model uses this information to create a 5km loop route around a specific area of ​​Tokyo. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0340] This system allows users to easily discover new walking and running routes and enjoy daily exercise, while also contributing to maintaining their health by providing safe and convenient routes.

[0341] The present invention can provide new possibilities for users who are tired of the same routes or who are looking for walking courses in new places.

[0342] The processing flow will be explained below.

[0343] Step 1:

[0344] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and allows the use of GPS.

[0345] Specific actions

[0346] The user inputs the desired distance for a walk or run.

[0347] Allows the user to use the device's GPS functionality.

[0348] Step 2:

[0349] The device receives the user's input information, obtains the current location information (GPS location information), and then sends the desired distance and the current location information to the server.

[0350] Specific actions

[0351] Format the distance information and current location information entered by the user into JSON format.

[0352] Sends data to the server's API endpoint.

[0353] Step 3:

[0354] The server receives the user's distance information and current location information sent from the device and obtains route information using the Google Maps API.

[0355] Specific actions

[0356] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0357] Get basic route information via points based on desired distance.

[0358] Step 4:

[0359] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0360] Specific actions

[0361] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0362] Adjust your route to fit a specified distance and create a safe and convenient loop course.

[0363] Step 5:

[0364] The server converts the generated route information into JSON format and sends it to the user's device.

[0365] Specific actions

[0366] Format the generated route information into JSON format.

[0367] Route information is sent to the device as an API response.

[0368] Step 6:

[0369] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0370] Specific actions

[0371] Generate an HTML file for map display and draw route information on the map.

[0372] A browser is opened and the generated map information is displayed to the user.

[0373] This processing step allows the user to easily generate a loop walking course based on a specified distance and enjoy a new walking route.

[0374] Example 1

[0375] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0376] For users who go for a walk or run, planning a new route every time is not only time-consuming, but also difficult to ensure safety and convenience. For users who are tired of the same route or looking for the best route in a new area, providing effective and safe routes is a challenge.

[0377] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0378] In this invention, the server includes a means for inputting desired distance information by the user, a means for acquiring current location information, a means for acquiring route information using an online map service, a means for generating an optimal route based on the specified distance using a generative AI model, a means for transmitting the generated route information to the user's device, and a means for displaying the route information on the user's device, allowing the user to easily find new walking or running routes and enjoy safe and convenient routes every time.

[0379] "User" refers to an individual who intends to use the system to generate a walking or running route.

[0380] "Distance information" refers to data indicating the distance a user wishes to travel for a walk or run.

[0381] "Current location information" refers to latitude and longitude data indicating the user's current location, obtained using the GPS function of the user's device, etc.

[0382] "Online map service" means a service that provides map information available via the Internet, including an API for obtaining route information.

[0383] A "generative AI model" is a model that uses artificial intelligence technology to analyze data and calculate and generate the optimal route based on specific conditions.

[0384] "Route information" refers to data that indicates the route or path a user will follow based on a specified distance.

[0385] "Terminal" refers to a digital device used by a user, such as a smartphone, PC, or tablet.

[0386] "Server" refers to the computer system that performs the central processing of this system and generates and provides route information through data communication with terminals.

[0387] "Display means" refers to a screen or application on the user's device that visually displays the received route information.

[0388] A "loop walking course" is a walking or running route designed to return to the starting point, and is calculated so that the total distance approaches the user's desired distance.

[0389] The present invention is a system that generates walking or running routes based on the specified distance by inputting the user's desired distance information and obtaining the user's current location information. This system functions by linking a generative AI model with a map service. Specific embodiments for implementing the present invention are described below.

[0390] Users start the system using a device such as a smartphone or PC and input the desired walking distance. For example, if they input "5km," the device sends this information and their current location information (obtained by GPS) to the server.

[0391] The server obtains route information using an online map service based on the received current location and desired distance. Examples of online map services that can be used include Google Maps API and other map APIs. The server uses these APIs to obtain route information within the specified distance around the current location.

[0392] The server then utilizes a generative AI model based on the acquired route information. The AI ​​model calculates the optimal loop walking course based on the specified distance, taking into account factors such as safety and convenience. The generative AI model generates the optimal route based on data such as the route length, terrain, and traffic conditions.

[0393] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The user can check the route on the device screen and follow it for a walk or run.

[0394] As a specific example, consider a case where a user is located in a certain location in City A and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location information, the server uses the Google Maps API to obtain route information around City A. Next, the generative AI model uses this information to create a 5km loop route that goes around a specific area of ​​City A. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0395] Examples of prompts include the following:

[0396] "The user's current location is xxx in city A, and they would like to take a 5km walking course. Please suggest the best loop walking course around their current location."

[0397] This system allows users to easily discover new walking and running routes and enjoy daily exercise. It also contributes to maintaining users' health by providing safe and convenient routes. This invention offers new possibilities for users who are tired of the same old routes or who are looking for walking courses in new places.

[0398] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0399] Step 1:

[0400] The user inputs the desired distance information.

[0401] Specific operation: The user launches the dedicated application on the device and inputs the desired walking or running distance (e.g., "5km") into the interface. This input is sent to the device in text format.

[0402] Input: Distance information entered by the user (e.g., "5km")

[0403] Output: The desired distance information is saved on the device.

[0404] Step 2:

[0405] The device obtains the current location information.

[0406] How it works: The device's GPS function is used to determine the user's current location. The current location is obtained in the form of latitude and longitude, and the result is saved on the device.

[0407] Input: GPS function of the device

[0408] Output: Current location information (e.g., latitude 35.6895, longitude 139.6917) is stored on the device.

[0409] Step 3:

[0410] The device sends the desired distance and current location information to the server.

[0411] Specific operation: The device sends the acquired current location information and the desired distance information entered by the user together to the server, specifically using an HTTP POST request.

[0412] Input: distance information, current location information

[0413] Output: Desired distance and current location are sent to the server

[0414] Step 4:

[0415] The server obtains route information using an online map service.

[0416] Specific operation: The server sends a request to a map API (e.g., Google Maps API) based on the received current location and distance information. It receives route information returned from the API. This route information is data on routes and paths within a specified distance.

[0417] Input: current location information, desired distance information

[0418] Output: Route information obtained by the server

[0419] Step 5:

[0420] The server generates the optimal route using a generative AI model.

[0421] How it works: The server passes the acquired route information to the generation AI model. The model then uses this information to generate an optimal loop walking course based on the specified distance. Safety and convenience are also taken into consideration during the generation process.

[0422] Input: Route information

[0423] Output: Generated optimal route information

[0424] Step 6:

[0425] The server transmits the generated route information to the terminal.

[0426] How it works: The server compiles the optimal route information obtained from the generative AI model and sends it to the user's device, again via an HTTP POST request.

[0427] Input: Optimal route information

[0428] Output: Optimal route information sent to the terminal

[0429] Step 7:

[0430] The route information received by the device is visually displayed to the user.

[0431] Specific operation: The device analyzes the received optimal route information and visually displays it to the user using the map display function of the dedicated application. The route is drawn on the map, and the user can check the route and go for a walk or run.

[0432] Input: Optimal route information

[0433] Output: Route information displayed on a map

[0434] (Application example 1)

[0435] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0436] In today's world, delivery work is rapidly increasing, making efficiency and safety important issues. Food delivery, in particular, requires delivery personnel to arrive at their destinations quickly and safely. However, existing navigation systems have the problem of being unable to provide optimal routes in real time that take safety and time efficiency into consideration. This often leads to delivery personnel getting lost or choosing dangerous routes. Therefore, there is a need for a system that allows delivery personnel to select routes efficiently and safely.

[0437] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0438] In this invention, the server includes a means for inputting distance information desired by the user, a means for acquiring current location information, a means for linking a generating AI model for calculating the generated route with a map service, a means for generating an optimal route taking safety and time efficiency into consideration, a means for transmitting the generated route information to the user's terminal, and a means for displaying the route information on the user's terminal, thereby enabling the delivery person to obtain the optimal route from the current location to the destination in real time and make the delivery efficiently and safely.

[0439] A "means for inputting desired distance information" is an input device that a user uses to specify a particular distance.

[0440] A "means for obtaining current location information" is a device or function that identifies the user's current location and provides that information to the system.

[0441] "Generative AI model for calculating generated routes" means an artificial intelligence model used to calculate the optimal route based on the user's desired conditions.

[0442] "Means for linking map services" refers to a service that links generative AI models with map information to assist in route calculation.

[0443] The "means for generating route information based on a specified distance" is a process or function that creates an optimal route based on the distance entered by the user.

[0444] "Means for transmitting the generated route information to the user's device" means a communications function that transfers the calculated route information to the user's device.

[0445] "Means for displaying route information on a user's terminal" refers to a display device or function that allows a user to visually check route information.

[0446] "A means for generating the optimal route taking into consideration safety and time efficiency" is a calculation function for selecting a safe and time-efficient route in delivery operations.

[0447] The "optimal route" is a route that takes into maximum consideration travel time and safety to the destination.

[0448] DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a system for generating efficient and safe routes in delivery work. DETAILED DESCRIPTION OF THE INVENTION The following describes in detail an embodiment of the present invention.

[0449] The system has the following main features:

[0450] 1. A means for users to input desired distance information: Users input desired delivery distance information using an input device such as a smartphone or tablet.

[0451] 2. How to obtain current location information: The system uses GPS to obtain the delivery person's current location. This can be achieved through various GPS modules or GPS sensors built into smart devices.

[0452] 3. Linking the generative AI model with a map service: The server uses Google Maps API or a similar map service to link the generative AI model with map information, thereby effectively generating delivery route information.

[0453] 4. A method for generating route information based on a specified distance: Generates the optimal route based on the specified distance entered by the user. This process calculates the route taking into account the specified distance and the current location.

[0454] 5. A means to generate optimal routes taking into account safety and time efficiency: Based on input information, the generative AI model optimizes routes to maximize delivery safety and time efficiency.

[0455] 6. Means for sending generated route information to user's device: The optimized route information is sent from the server to the user's device using a communication protocol such as HTTP or HTTPS.

[0456] 7. Displaying route information on the user's device: The user's device visually displays the route information sent to them. This can be done through a smartphone map app or a dedicated display application.

[0457] Operational Overview

[0458] When a user actually uses the system, they first input the specified distance on their smartphone or tablet to obtain their current location information. This information is sent to the server, where the generative AI model and map service work together to generate the optimal route. The generated route takes safety and time efficiency into consideration and is designed to enable delivery personnel to reach their destination efficiently.

[0459] Specific examples

[0460] For example, suppose a delivery person requests the "optimal route within 5km." In this case, the delivery person enters "5km" into their smartphone and provides their current location information. The server uses the Google Maps API to obtain route information around the current location, and the generative AI model calculates the optimal route based on this information. The generated route is sent to the delivery person's device and displayed on a map.

[0461] Prompt Sentence Examples

[0462] "Optimize the following route for safety and efficiency:\n{JSON string of route information}"

[0463] The server uses these prompts to provide optimization instructions to the generative AI model, allowing delivery workers to choose safer and more efficient routes.

[0464] This will significantly improve the efficiency and safety of delivery operations and reduce the burden on delivery personnel.

[0465] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0466] Step 1:

[0467] The user inputs the desired delivery distance information using a device such as a smartphone or tablet. The input distance information (e.g., "5km") is temporarily saved in the device and prepared for the next transmission. The input data is only distance information, and the route is generated based on this information.

[0468] Step 2:

[0469] The device acquires current location information. Using the GPS function, it collects current latitude and longitude data. The collected current location information is sent to the server along with distance information. The input is GPS data, and the output is the current location coordinate data.

[0470] Step 3:

[0471] The server receives the current location and desired distance information from the device and uses a map service (e.g., Google Maps API) to obtain route information within the specified distance from the current location. The server sends the current location and desired distance to the map service and temporarily stores the obtained route information for use in the next step. The input is the current location and distance information, and the output is tentative route information.

[0472] Step 4:

[0473] The server uses the generative AI model to optimize the route information obtained from the map service. Here, the AI ​​model recalculates the route based on the prompt to take safety and time efficiency into account. An example of the prompt used is "Optimize the following route for safety and efficiency:\n{JSON string of route information}". The input is tentative route information and the prompt, and the output is optimized route information.

[0474] Step 5:

[0475] The server sends the optimized route information back to the user's device. Data is securely transferred using HTTP or HTTPS communication protocols. The input is the optimized route information, and the output is the route information transferred to the device.

[0476] Step 6:

[0477] The device visually displays the optimized route information received. Users can check the optimal route on a map through a map display application or a dedicated viewer. The input is the optimized route information, and the output is a visual display on the map.

[0478] This system allows users to efficiently and safely obtain routes to their destinations and proceed with delivery work.

[0479] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0480] This system generates walking or running routes based on the distance a user wants to travel by inputting the user's desired distance and acquiring the user's current location information. Furthermore, this system is characterized by its ability to propose optimal routes that take into account the user's emotional state by incorporating an emotion engine.

[0481] The user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. The device then analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0482] The device sends the user's desired distance, current location information, and emotional state to the server. Based on the received information, the server obtains route information using map services such as Google Maps API. Next, the generated AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0483] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses the Google Maps API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0484] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0485] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0486] This invention offers new possibilities that take into account emotional states for users who are tired of the same old routes or who are looking for new walking courses, and can add variety to the way users enjoy walking or running, contributing to maintaining health and changing moods.

[0487] The processing flow will be explained below.

[0488] Step 1:

[0489] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and authorizes the use of GPS. Furthermore, they authorize the use of the camera and microphone to recognize the user's emotional state.

[0490] Specific actions

[0491] The user inputs the desired distance for a walk or run.

[0492] Allows the user to use the device's GPS functionality.

[0493] The user allows the device's camera and microphone to be used.

[0494] Step 2:

[0495] The device receives user input information and obtains current location information (GPS location information), while simultaneously analyzing the user's emotional state using a camera and microphone.

[0496] Specific actions

[0497] Obtain distance information and current location information entered by the user.

[0498] The camera and microphone collect data on the user's facial expressions and voice, and the emotion engine analyzes their emotional state.

[0499] Emotional state information is obtained as the analysis result.

[0500] Step 3:

[0501] The device transmits the desired distance, current location information, and emotional state information to the server.

[0502] Specific actions

[0503] The desired distance, current location information, and emotional state information are formatted into JSON format.

[0504] Sends data to the server's API endpoint.

[0505] Step 4:

[0506] The server receives the user's distance information, current location information, and emotional state information sent from the device, and obtains route information using the Google Maps API.

[0507] Specific actions

[0508] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0509] Get basic route information via points based on desired distance.

[0510] Step 5:

[0511] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0512] Specific actions

[0513] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0514] It adjusts your route to fit a specified distance and creates a loop course that takes your emotional state into account.

[0515] Step 6:

[0516] The server converts the generated route information into JSON format and sends it to the user's device.

[0517] Specific actions

[0518] Format the generated route information into JSON format.

[0519] Route information is sent to the device as an API response.

[0520] Step 7:

[0521] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0522] Specific actions

[0523] Generate an HTML file for map display and draw route information on the map.

[0524] A browser is opened and the generated map information is displayed to the user.

[0525] This processing step allows users to easily generate a loop walking course based on a specified distance, and further allows users to enjoy the optimal walking route according to their emotional state, for example, a quiet route is provided if they want to relax.

[0526] Example 2

[0527] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0528] Conventional walking and running route generation systems only generate routes based on the user's current location information and desired distance information. As a result, they do not propose optimal routes that take into account the user's emotional state or mood, limiting user satisfaction and effectiveness. The present invention solves this problem by considering the user's emotional state and proposing loop walking courses that are optimal for each individual user.

[0529] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the emotional state of the user, a means for transmitting the acquired emotional state, current location information, and desired distance information to the server, a means for acquiring route information in conjunction with a map service, and a means for generating an optimal route based on a specified distance and emotional state using a generative AI model. This makes it possible to automatically generate and display an optimal route according to the emotional state of the user.

[0530] "Means for users to input desired distance information" refers to an interface on a device or software that allows a user to input the desired distance for a walk or run.

[0531] "Means for obtaining current location information" refers to devices or technologies for obtaining the user's current location information (latitude and longitude) using GPS or other location information services.

[0532] "Means for recognizing the user's emotional state" refers to a system or algorithm that uses a camera or microphone to analyze the user's facial expressions and tone of voice, and then uses an emotion engine to determine the user's emotional state.

[0533] The "means for transmitting the acquired emotional state, current location information, and desired distance information to the server" is a communication system for transmitting information such as emotional data, location information, and desired distance collected from the terminal to the server via a network.

[0534] "Means for obtaining route information by linking with a map service" refers to a service or technology that allows a server to obtain possible route information based on a specified point and distance using a map API.

[0535] "Means for generating an optimal route based on a specified distance and emotional state using a generative AI model" refers to an algorithm or system that uses a generative AI model to create an optimal walking or running route for a user based on the acquired route information and emotional state.

[0536] The "means for transmitting the generated route information to the user's terminal" refers to a communication means by which the server transfers the generated route information to the user's terminal.

[0537] "Means for displaying route information on a user's device" means an application or interface for visually displaying route information and maps on a user's device.

[0538] The present invention relates to a system that generates optimal walking or running routes by taking into account the user's emotional state when inputting desired distance information. Hereinafter, we will explain how to implement this system in detail.

[0539] The user starts the system using a device such as a smartphone or PC. The system provides an interface for the user to input the distance of their desired walk or run. For example, the user inputs the desired distance as "5km." The system also uses the GPS function to obtain the user's current location. If necessary, the system asks the user for permission to use the GPS.

[0540] The device then uses the built-in camera and microphone to recognize the user's emotional state by analyzing the user's facial expressions and tone of voice. For example, it uses technology like "Affectiva" as an emotion engine to determine the user's emotional state (relaxed, stressed, etc.).

[0541] The desired distance information, emotional state, and current location information entered by the user are sent from the device to the server. The server uses the received information to obtain route information using a map service (e.g., Google Maps API). Specifically, the server searches for possible routes within the desired distance from the user's current location.

[0542] The server then uses a generative AI model (such as GPT-4) to generate an optimal route based on the acquired route information and emotional state. For example, the generative AI model might suggest a route that includes a quiet park or a walking course that includes scenic spots. If the user's emotional state indicates a desire to relax, a route that includes relaxing elements will be generated.

[0543] The generated route information is sent from the server to the user's device, which then visually displays the route on a map based on the received route information.The user can then go for a walk or run while looking at this.

[0544] This system allows users to easily generate optimal walking or running routes based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently, contributing to maintaining their health and changing their mood.

[0545] A specific example of its use is a prompt sentence in which the user inputs "I want to know a 5km walking route from my current location" and conveys the emotional state they want to relax in. Based on this information, the server generates optimal walking courses, including quiet parks and scenic routes, and provides them to the user.

[0546] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0547] Step 1:

[0548] The user starts the system using a smartphone or PC. On the initial screen, the user enters the desired walking distance and authorizes the use of GPS. The data entered by the user is the desired distance information (e.g., "5km") and GPS permission information. This allows the system to recognize the user's desired distance and prepare to obtain current location information.

[0549] Specific behavior: The user launches the application, enters "5km", taps the "Next" button, and allows GPS use.

[0550] Step 2:

[0551] The device uses the GPS function to obtain the user's current location information. The latitude and longitude data obtained from the GPS is input, and by obtaining this, the current location information is obtained.

[0552] Specific operation: The device starts the GPS module and obtains the current latitude and longitude data. If the user selects "Allow", the GPS information will be obtained by the device.

[0553] Step 3:

[0554] The device uses a built-in camera and microphone to recognize the user's emotional state. The input data is the user's facial expressions and tone of voice, and the emotional state is analyzed using an emotion engine. The output is the analyzed emotional state (e.g., wanting to relax, feeling stressed, etc.).

[0555] What it does: The device activates the camera to capture the user's face, and the microphone records their voice in the background, sending this data to the emotion engine to analyze their emotional state.

[0556] Step 4:

[0557] The device sends the desired distance, current location information, and analyzed emotional state input by the user to the server. The input data is the desired distance information, current location information, and emotional state, and these are sent and passed to the server. The output is the transmission result to the server.

[0558] Specific operation: The device constructs an API request and sends the desired distance (5km), current location information (latitude and longitude), and emotional state to the server.

[0559] Step 5:

[0560] The server obtains route information using a map service. The input data is the current location information and desired distance information, and route information is obtained from the map API based on this. The output is possible route information.

[0561] Specific operation: The server calls the map service API and obtains route information (directions, distance, time, etc.) based on the specified latitude and longitude and desired distance.

[0562] Step 6:

[0563] The server uses a generative AI model to generate an optimal route based on the acquired route information and emotional state. The input data is the route information and emotional state, and the server calculates and generates the optimal route based on these. The output is the generated optimal route.

[0564] Specific operation: The server inputs route information and emotional state into the generated AI model, and based on the analysis results, generates an optimal walking course that includes relaxing parks and scenic spots.

[0565] Step 7:

[0566] The server sends the generated route information to the user's terminal. The input data is the generated optimal route information, and the output is the transmission result and the transmission data to the user's terminal.

[0567] Specific operation: The server sends the generated route information to the user terminal, and the terminal receives it.

[0568] Step 8:

[0569] The terminal visually displays the route on a map based on the received route information. The input data is the route information received from the server, and the output is the visual data displayed to the user.

[0570] Specific operation: The device launches the map application, plots the received route information on a map, and displays it so that the user can visually confirm it.

[0571] Through these steps, users can easily find the best walking or running route based on their desired distance and current emotional state.

[0572] (Application example 2)

[0573] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0574] Conventional walking and running route generation systems simply provide routes based on the user's desired distance, and are therefore unable to optimize routes that take into account the user's emotions and psychological state. As a result, there are issues with the system not providing appropriate routes that meet the user's psychological needs, such as boredom from repeatedly using the same route, and relaxation and stress relief.

[0575] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0576] In this invention, the server includes means for inputting distance information desired by the user, means for acquiring current location information, means for linking a map service with a generative AI model for calculating a generated route, means for generating route information based on the specified distance, means for recognizing the emotional state of the user, means for generating an optimal route based on the emotional state, means for transmitting the generated route information to the user's terminal, and means for displaying the route information on the user's terminal. This allows the server to provide an appropriate route according to the user's emotional state, improving the enjoyment of walking or running and eliminating boredom and dissatisfaction with psychological needs.

[0577] "Means for users to input desired distance information" refers to an interface that allows users to input the distance of their desired walk or run using their own device such as a smartphone or PC.

[0578] A "means for obtaining location information" is a device or system that obtains a user's current location in real time using GPS or other location information services.

[0579] "Means for linking a generative AI model with a map service to calculate a generated route" refers to a mechanism that combines a generative AI model with a map service (e.g., a map API) to calculate a route based on the user's desired distance and current location information.

[0580] The "means for generating route information based on a specified distance" refers to an algorithm or software for generating an appropriate route based on distance information entered by a user.

[0581] The "means for recognizing the user's emotional state" is a system that uses a camera, microphone, etc. to analyze the user's facial expressions and tone of voice, and determines the user's emotional state from the results.

[0582] The "means for generating optimal routes based on emotional state" refers to algorithms or software for selecting appropriate walking or running routes based on the user's emotional state.

[0583] "Means for transmitting generated route information to the user's terminal" refers to a communication system for sending the generated route information from the server to the user's smartphone, PC, etc.

[0584] The "means for displaying route information on the user's terminal" is an interface for drawing the received route information on a map and visually presenting it to the user.

[0585] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and acquiring the user's current location information. Furthermore, by combining this system with an emotion engine, it can propose optimal routes that take the user's emotional state into consideration.

[0586] First, the user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. Next, the device analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0587] The device sends the desired distance, current location information, and emotional state entered by the user to the server. Based on the received information, the server obtains route information using a map service. The map service can be, for example, a publicly available map API. Next, the generative AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0588] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses a map API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0589] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0590] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0591] The hardware used includes the user's device (smartphone or PC), GPS, camera, and microphone for acquiring location information. The software used includes map APIs (e.g., Google Maps API), generative AI models, and emotion engines. By using prompts such as "Please tell me a relaxing walking route within 5km of my current location," an appropriate route is generated based on the user's needs.

[0592] As an example of a definition, "means for users to input desired distance information" corresponds to a user interface (UI). "Means for acquiring current location information" corresponds to a GPS module or location information service, and "means for linking a generative AI model to calculate the generated route with a map service" corresponds to an API integration system. Furthermore, "means for recognizing the user's emotional state" corresponds to facial expression recognition or voice analysis technology, and "means for generating the optimal route based on the emotional state" corresponds to a machine learning algorithm. "Means for sending generated route information to the user's device" corresponds to an internet communication function, and "means for displaying route information on the user's device" corresponds to a graphical user interface (GUI).

[0593] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0594] Step 1:

[0595] The user inputs the desired distance information

[0596] The user launches the system using a smartphone or PC and inputs the desired walking distance. For example, they can input "5km." The input data is "distance information," and the specified distance information is recorded as output. This provides the basic data for generating a route based on distance.

[0597] Step 2:

[0598] Get current location information

[0599] The device obtains the user's current location using location services such as GPS. The input data is a "location request," and the output is the user's current location coordinates, which are used to calculate the route.

[0600] Step 3:

[0601] Recognize the user's emotional state

[0602] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice, and determines the user's current emotional state through an emotion engine. The input data is "video data and audio data," and the output is "emotional state," which is an important factor in route optimization.

[0603] Step 4:

[0604] Sending user input data to the server

[0605] The device sends desired distance information, current location information, and emotional state to the server. The input data includes "distance information," "location information," and "emotional state," and the output is the completion of transmission to the server.

[0606] Step 5:

[0607] Obtaining route information using a map service

[0608] The server calls the map API based on the received current location information and obtains route information based on the specified distance. The input data are "location information" and "distance information," and the output is "basic route information."

[0609] Step 6:

[0610] Optimize your route by taking your emotional state into account

[0611] The server inputs the acquired basic route information and emotional state into a generative AI model to generate the optimal route. This generative AI model has the function of adjusting the route according to the user's emotional state. The input data are "basic route information" and "emotional state," and the output is "optimized route information."

[0612] Step 7:

[0613] Sending optimized route information to your device

[0614] The server sends the generated optimized route information to the user's device. The input data is the "optimized route information," and the information is sent to the user's device as output.

[0615] Step 8:

[0616] Display route information on the user's device

[0617] The device draws the received route information on a map for easy viewing by the user. The input data is "optimized route information," and the output is the route drawn on the map. For example, a route based on the prompt "Please tell me a relaxing walking route within 5km of my current location" is displayed. This function allows the user to visually check the route optimized for distance and psychological state.

[0618] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0619] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0620] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0621] [Third embodiment]

[0622] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0623] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0624] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0625] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0626] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0627] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0628] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0629] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0630] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0631] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0632] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0633] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0634] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and obtaining the user's current location information. This system works by linking a generative AI model with a map service.

[0635] The user starts the system using a device such as a smartphone or PC and inputs the desired walking distance. For example, if the user inputs "5km," the device sends this information and the user's current location information (obtained by GPS) to the server.

[0636] The server retrieves route information using an online map service based on the current location and desired distance. This can be done using a map service such as Google Maps API. The server uses the API to retrieve route information within the specified distance around the current location.

[0637] The server then uses the acquired route information to generate an AI model that calculates the optimal loop walking route based on the specified distance, taking into account factors such as safety and convenience.

[0638] The generated route information is sent from the server to the user's device, which then visually displays the route information to the user by drawing the route on a map for easy viewing.

[0639] As a specific example, consider a case where a user is located in Tokyo and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location, the server uses the Google Maps API to obtain route information around Tokyo. Next, a generative AI model uses this information to create a 5km loop route around a specific area of ​​Tokyo. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0640] This system allows users to easily discover new walking and running routes and enjoy daily exercise, while also contributing to maintaining their health by providing safe and convenient routes.

[0641] The present invention can provide new possibilities for users who are tired of the same routes or who are looking for walking courses in new places.

[0642] The processing flow will be explained below.

[0643] Step 1:

[0644] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and allows the use of GPS.

[0645] Specific actions

[0646] The user inputs the desired distance for a walk or run.

[0647] Allows the user to use the device's GPS functionality.

[0648] Step 2:

[0649] The device receives the user's input information, obtains the current location information (GPS location information), and then sends the desired distance and the current location information to the server.

[0650] Specific actions

[0651] Format the distance information and current location information entered by the user into JSON format.

[0652] Sends data to the server's API endpoint.

[0653] Step 3:

[0654] The server receives the user's distance information and current location information sent from the device and obtains route information using the Google Maps API.

[0655] Specific actions

[0656] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0657] Get basic route information via points based on desired distance.

[0658] Step 4:

[0659] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0660] Specific actions

[0661] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0662] Adjust your route to fit a specified distance and create a safe and convenient loop course.

[0663] Step 5:

[0664] The server converts the generated route information into JSON format and sends it to the user's device.

[0665] Specific actions

[0666] Format the generated route information into JSON format.

[0667] Route information is sent to the device as an API response.

[0668] Step 6:

[0669] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0670] Specific actions

[0671] Generate an HTML file for map display and draw route information on the map.

[0672] A browser is opened and the generated map information is displayed to the user.

[0673] This processing step allows the user to easily generate a loop walking course based on a specified distance and enjoy a new walking route.

[0674] Example 1

[0675] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0676] For users who go for a walk or run, planning a new route every time is not only time-consuming, but also difficult to ensure safety and convenience. For users who are tired of the same route or looking for the best route in a new area, providing effective and safe routes is a challenge.

[0677] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0678] In this invention, the server includes a means for inputting desired distance information by the user, a means for acquiring current location information, a means for acquiring route information using an online map service, a means for generating an optimal route based on the specified distance using a generative AI model, a means for transmitting the generated route information to the user's device, and a means for displaying the route information on the user's device, allowing the user to easily find new walking or running routes and enjoy safe and convenient routes every time.

[0679] "User" refers to an individual who intends to use the system to generate a walking or running route.

[0680] "Distance information" refers to data indicating the distance a user wishes to travel for a walk or run.

[0681] "Current location information" refers to latitude and longitude data indicating the user's current location, obtained using the GPS function of the user's device, etc.

[0682] "Online map service" means a service that provides map information available via the Internet, including an API for obtaining route information.

[0683] A "generative AI model" is a model that uses artificial intelligence technology to analyze data and calculate and generate the optimal route based on specific conditions.

[0684] "Route information" refers to data that indicates the route or path a user will follow based on a specified distance.

[0685] "Terminal" refers to a digital device used by a user, such as a smartphone, PC, or tablet.

[0686] "Server" refers to the computer system that performs the central processing of this system and generates and provides route information through data communication with terminals.

[0687] "Display means" refers to a screen or application on the user's device that visually displays the received route information.

[0688] A "loop walking course" is a walking or running route designed to return to the starting point, and is calculated so that the total distance approaches the user's desired distance.

[0689] The present invention is a system that generates walking or running routes based on the specified distance by inputting the user's desired distance information and obtaining the user's current location information. This system functions by linking a generative AI model with a map service. Specific embodiments for implementing the present invention are described below.

[0690] Users start the system using a device such as a smartphone or PC and input the desired walking distance. For example, if they input "5km," the device sends this information and their current location information (obtained by GPS) to the server.

[0691] The server obtains route information using an online map service based on the received current location and desired distance. Examples of online map services that can be used include Google Maps API and other map APIs. The server uses these APIs to obtain route information within the specified distance around the current location.

[0692] The server then utilizes a generative AI model based on the acquired route information. The AI ​​model calculates the optimal loop walking course based on the specified distance, taking into account factors such as safety and convenience. The generative AI model generates the optimal route based on data such as the route length, terrain, and traffic conditions.

[0693] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The user can check the route on the device screen and follow it for a walk or run.

[0694] As a specific example, consider a case where a user is located in a certain location in City A and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location information, the server uses the Google Maps API to obtain route information around City A. Next, the generative AI model uses this information to create a 5km loop route that goes around a specific area of ​​City A. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0695] Examples of prompts include the following:

[0696] "The user's current location is xxx in city A, and they would like to take a 5km walking course. Please suggest the best loop walking course around their current location."

[0697] This system allows users to easily discover new walking and running routes and enjoy daily exercise. It also contributes to maintaining users' health by providing safe and convenient routes. This invention offers new possibilities for users who are tired of the same old routes or who are looking for walking courses in new places.

[0698] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0699] Step 1:

[0700] The user inputs the desired distance information.

[0701] Specific operation: The user launches the dedicated application on the device and inputs the desired walking or running distance (e.g., "5km") into the interface. This input is sent to the device in text format.

[0702] Input: Distance information entered by the user (e.g., "5km")

[0703] Output: The desired distance information is saved on the device.

[0704] Step 2:

[0705] The device obtains the current location information.

[0706] How it works: The device's GPS function is used to determine the user's current location. The current location is obtained in the form of latitude and longitude, and the result is saved on the device.

[0707] Input: GPS function of the device

[0708] Output: Current location information (e.g., latitude 35.6895, longitude 139.6917) is stored on the device.

[0709] Step 3:

[0710] The device sends the desired distance and current location information to the server.

[0711] Specific operation: The device sends the acquired current location information and the desired distance information entered by the user together to the server, specifically using an HTTP POST request.

[0712] Input: distance information, current location information

[0713] Output: Desired distance and current location are sent to the server

[0714] Step 4:

[0715] The server obtains route information using an online map service.

[0716] Specific operation: The server sends a request to a map API (e.g., Google Maps API) based on the received current location and distance information. It receives route information returned from the API. This route information is data on routes and paths within a specified distance.

[0717] Input: current location information, desired distance information

[0718] Output: Route information obtained by the server

[0719] Step 5:

[0720] The server generates the optimal route using a generative AI model.

[0721] How it works: The server passes the acquired route information to the generation AI model. The model then uses this information to generate an optimal loop walking course based on the specified distance. Safety and convenience are also taken into consideration during the generation process.

[0722] Input: Route information

[0723] Output: Generated optimal route information

[0724] Step 6:

[0725] The server transmits the generated route information to the terminal.

[0726] How it works: The server compiles the optimal route information obtained from the generative AI model and sends it to the user's device, again via an HTTP POST request.

[0727] Input: Optimal route information

[0728] Output: Optimal route information sent to the terminal

[0729] Step 7:

[0730] The route information received by the device is visually displayed to the user.

[0731] Specific operation: The device analyzes the received optimal route information and visually displays it to the user using the map display function of the dedicated application. The route is drawn on the map, and the user can check the route and go for a walk or run.

[0732] Input: Optimal route information

[0733] Output: Route information displayed on a map

[0734] (Application example 1)

[0735] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0736] In today's world, delivery work is rapidly increasing, making efficiency and safety important issues. Food delivery, in particular, requires delivery personnel to arrive at their destinations quickly and safely. However, existing navigation systems have the problem of being unable to provide optimal routes in real time that take safety and time efficiency into consideration. This often leads to delivery personnel getting lost or choosing dangerous routes. Therefore, there is a need for a system that allows delivery personnel to select routes efficiently and safely.

[0737] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0738] In this invention, the server includes a means for inputting distance information desired by the user, a means for acquiring current location information, a means for linking a generating AI model for calculating the generated route with a map service, a means for generating an optimal route taking safety and time efficiency into consideration, a means for transmitting the generated route information to the user's terminal, and a means for displaying the route information on the user's terminal, thereby enabling the delivery person to obtain the optimal route from the current location to the destination in real time and make the delivery efficiently and safely.

[0739] A "means for inputting desired distance information" is an input device that a user uses to specify a particular distance.

[0740] A "means for obtaining current location information" is a device or function that identifies the user's current location and provides that information to the system.

[0741] "Generative AI model for calculating generated routes" means an artificial intelligence model used to calculate the optimal route based on the user's desired conditions.

[0742] "Means for linking map services" refers to a service that links generative AI models with map information to assist in route calculation.

[0743] The "means for generating route information based on a specified distance" is a process or function that creates an optimal route based on the distance entered by the user.

[0744] "Means for transmitting the generated route information to the user's device" means a communications function that transfers the calculated route information to the user's device.

[0745] "Means for displaying route information on a user's terminal" refers to a display device or function that allows a user to visually check route information.

[0746] "A means for generating the optimal route taking into consideration safety and time efficiency" is a calculation function for selecting a safe and time-efficient route in delivery operations.

[0747] The "optimal route" is a route that takes into maximum consideration travel time and safety to the destination.

[0748] DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a system for generating efficient and safe routes in delivery work. DETAILED DESCRIPTION OF THE INVENTION The following describes in detail an embodiment of the present invention.

[0749] The system has the following main features:

[0750] 1. A means for users to input desired distance information: Users input desired delivery distance information using an input device such as a smartphone or tablet.

[0751] 2. How to obtain current location information: The system uses GPS to obtain the delivery person's current location. This can be achieved through various GPS modules or GPS sensors built into smart devices.

[0752] 3. Linking the generative AI model with a map service: The server uses Google Maps API or a similar map service to link the generative AI model with map information, thereby effectively generating delivery route information.

[0753] 4. A method for generating route information based on a specified distance: Generates the optimal route based on the specified distance entered by the user. This process calculates the route taking into account the specified distance and the current location.

[0754] 5. A means to generate optimal routes taking into account safety and time efficiency: Based on input information, the generative AI model optimizes routes to maximize delivery safety and time efficiency.

[0755] 6. Means for sending generated route information to user's device: The optimized route information is sent from the server to the user's device using a communication protocol such as HTTP or HTTPS.

[0756] 7. Displaying route information on the user's device: The user's device visually displays the route information sent to them. This can be done through a smartphone map app or a dedicated display application.

[0757] Operational Overview

[0758] When a user actually uses the system, they first input the specified distance on their smartphone or tablet to obtain their current location information. This information is sent to the server, where the generative AI model and map service work together to generate the optimal route. The generated route takes safety and time efficiency into consideration and is designed to enable delivery personnel to reach their destination efficiently.

[0759] Specific examples

[0760] For example, suppose a delivery person requests the "optimal route within 5km." In this case, the delivery person enters "5km" into their smartphone and provides their current location information. The server uses the Google Maps API to obtain route information around the current location, and the generative AI model calculates the optimal route based on this information. The generated route is sent to the delivery person's device and displayed on a map.

[0761] Prompt Sentence Examples

[0762] "Optimize the following route for safety and efficiency:\n{JSON string of route information}"

[0763] The server uses these prompts to provide optimization instructions to the generative AI model, allowing delivery workers to choose safer and more efficient routes.

[0764] This will significantly improve the efficiency and safety of delivery operations and reduce the burden on delivery personnel.

[0765] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0766] Step 1:

[0767] The user inputs the desired delivery distance information using a device such as a smartphone or tablet. The input distance information (e.g., "5km") is temporarily saved in the device and prepared for the next transmission. The input data is only distance information, and the route is generated based on this information.

[0768] Step 2:

[0769] The device acquires current location information. Using the GPS function, it collects current latitude and longitude data. The collected current location information is sent to the server along with distance information. The input is GPS data, and the output is the current location coordinate data.

[0770] Step 3:

[0771] The server receives the current location and desired distance information from the device and uses a map service (e.g., Google Maps API) to obtain route information within the specified distance from the current location. The server sends the current location and desired distance to the map service and temporarily stores the obtained route information for use in the next step. The input is the current location and distance information, and the output is tentative route information.

[0772] Step 4:

[0773] The server uses the generative AI model to optimize the route information obtained from the map service. Here, the AI ​​model recalculates the route based on the prompt to take safety and time efficiency into account. An example of the prompt used is "Optimize the following route for safety and efficiency:\n{JSON string of route information}". The input is tentative route information and the prompt, and the output is optimized route information.

[0774] Step 5:

[0775] The server sends the optimized route information back to the user's device. Data is securely transferred using HTTP or HTTPS communication protocols. The input is the optimized route information, and the output is the route information transferred to the device.

[0776] Step 6:

[0777] The device visually displays the optimized route information received. Users can check the optimal route on a map through a map display application or a dedicated viewer. The input is the optimized route information, and the output is a visual display on the map.

[0778] This system allows users to efficiently and safely obtain routes to their destinations and proceed with delivery work.

[0779] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0780] This system generates walking or running routes based on the distance a user wants to travel by inputting the user's desired distance and acquiring the user's current location information. Furthermore, this system is characterized by its ability to propose optimal routes that take into account the user's emotional state by incorporating an emotion engine.

[0781] The user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. The device then analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0782] The device sends the user's desired distance, current location information, and emotional state to the server. Based on the received information, the server obtains route information using map services such as Google Maps API. Next, the generated AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0783] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses the Google Maps API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0784] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0785] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0786] This invention offers new possibilities that take into account emotional states for users who are tired of the same old routes or who are looking for new walking courses, and can add variety to the way users enjoy walking or running, contributing to maintaining health and changing moods.

[0787] The processing flow will be explained below.

[0788] Step 1:

[0789] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and authorizes the use of GPS. Furthermore, they authorize the use of the camera and microphone to recognize the user's emotional state.

[0790] Specific actions

[0791] The user inputs the desired distance for a walk or run.

[0792] Allows the user to use the device's GPS functionality.

[0793] The user allows the device's camera and microphone to be used.

[0794] Step 2:

[0795] The device receives user input information and obtains current location information (GPS location information), while simultaneously analyzing the user's emotional state using a camera and microphone.

[0796] Specific actions

[0797] Obtain distance information and current location information entered by the user.

[0798] The camera and microphone collect data on the user's facial expressions and voice, and the emotion engine analyzes their emotional state.

[0799] Emotional state information is obtained as the analysis result.

[0800] Step 3:

[0801] The device transmits the desired distance, current location information, and emotional state information to the server.

[0802] Specific actions

[0803] The desired distance, current location information, and emotional state information are formatted into JSON format.

[0804] Sends data to the server's API endpoint.

[0805] Step 4:

[0806] The server receives the user's distance information, current location information, and emotional state information sent from the device, and obtains route information using the Google Maps API.

[0807] Specific actions

[0808] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0809] Get basic route information via points based on desired distance.

[0810] Step 5:

[0811] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0812] Specific actions

[0813] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0814] It adjusts your route to fit a specified distance and creates a loop course that takes your emotional state into account.

[0815] Step 6:

[0816] The server converts the generated route information into JSON format and sends it to the user's device.

[0817] Specific actions

[0818] Format the generated route information into JSON format.

[0819] Route information is sent to the device as an API response.

[0820] Step 7:

[0821] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0822] Specific actions

[0823] Generate an HTML file for map display and draw route information on the map.

[0824] A browser is opened and the generated map information is displayed to the user.

[0825] This processing step allows users to easily generate a loop walking course based on a specified distance, and further allows users to enjoy the optimal walking route according to their emotional state, for example, a quiet route is provided if they want to relax.

[0826] Example 2

[0827] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0828] Conventional walking and running route generation systems only generate routes based on the user's current location information and desired distance information. As a result, they do not propose optimal routes that take into account the user's emotional state or mood, limiting user satisfaction and effectiveness. The present invention solves this problem by considering the user's emotional state and proposing loop walking courses that are optimal for each individual user.

[0829] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the emotional state of the user, a means for transmitting the acquired emotional state, current location information, and desired distance information to the server, a means for acquiring route information in conjunction with a map service, and a means for generating an optimal route based on a specified distance and emotional state using a generative AI model. This makes it possible to automatically generate and display an optimal route according to the emotional state of the user.

[0830] "Means for users to input desired distance information" refers to an interface on a device or software that allows a user to input the desired distance for a walk or run.

[0831] "Means for obtaining current location information" refers to devices or technologies for obtaining the user's current location information (latitude and longitude) using GPS or other location information services.

[0832] "Means for recognizing the user's emotional state" refers to a system or algorithm that uses a camera or microphone to analyze the user's facial expressions and tone of voice, and then uses an emotion engine to determine the user's emotional state.

[0833] The "means for transmitting the acquired emotional state, current location information, and desired distance information to the server" is a communication system for transmitting information such as emotional data, location information, and desired distance collected from the terminal to the server via a network.

[0834] "Means for obtaining route information by linking with a map service" refers to a service or technology that allows a server to obtain possible route information based on a specified point and distance using a map API.

[0835] "Means for generating an optimal route based on a specified distance and emotional state using a generative AI model" refers to an algorithm or system that uses a generative AI model to create an optimal walking or running route for a user based on the acquired route information and emotional state.

[0836] The "means for transmitting the generated route information to the user's terminal" refers to a communication means by which the server transfers the generated route information to the user's terminal.

[0837] "Means for displaying route information on a user's device" means an application or interface for visually displaying route information and maps on a user's device.

[0838] The present invention relates to a system that generates optimal walking or running routes by taking into account the user's emotional state when inputting desired distance information. Hereinafter, we will explain how to implement this system in detail.

[0839] The user starts the system using a device such as a smartphone or PC. The system provides an interface for the user to input the distance of their desired walk or run. For example, the user inputs the desired distance as "5km." The system also uses the GPS function to obtain the user's current location. If necessary, the system asks the user for permission to use the GPS.

[0840] The device then uses the built-in camera and microphone to recognize the user's emotional state by analyzing the user's facial expressions and tone of voice. For example, it uses technology like "Affectiva" as an emotion engine to determine the user's emotional state (relaxed, stressed, etc.).

[0841] The desired distance information, emotional state, and current location information entered by the user are sent from the device to the server. The server uses the received information to obtain route information using a map service (e.g., Google Maps API). Specifically, the server searches for possible routes within the desired distance from the user's current location.

[0842] The server then uses a generative AI model (such as GPT-4) to generate an optimal route based on the acquired route information and emotional state. For example, the generative AI model might suggest a route that includes a quiet park or a walking course that includes scenic spots. If the user's emotional state indicates a desire to relax, a route that includes relaxing elements will be generated.

[0843] The generated route information is sent from the server to the user's device, which then visually displays the route on a map based on the received route information.The user can then go for a walk or run while looking at this.

[0844] This system allows users to easily generate optimal walking or running routes based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently, contributing to maintaining their health and changing their mood.

[0845] A specific example of its use is a prompt sentence in which the user inputs "I want to know a 5km walking route from my current location" and conveys the emotional state they want to relax in. Based on this information, the server generates optimal walking courses, including quiet parks and scenic routes, and provides them to the user.

[0846] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0847] Step 1:

[0848] The user starts the system using a smartphone or PC. On the initial screen, the user enters the desired walking distance and authorizes the use of GPS. The data entered by the user is the desired distance information (e.g., "5km") and GPS permission information. This allows the system to recognize the user's desired distance and prepare to obtain current location information.

[0849] Specific behavior: The user launches the application, enters "5km", taps the "Next" button, and allows GPS use.

[0850] Step 2:

[0851] The device uses the GPS function to obtain the user's current location information. The latitude and longitude data obtained from the GPS is input, and by obtaining this, the current location information is obtained.

[0852] Specific operation: The device starts the GPS module and obtains the current latitude and longitude data. If the user selects "Allow", the GPS information will be obtained by the device.

[0853] Step 3:

[0854] The device uses a built-in camera and microphone to recognize the user's emotional state. The input data is the user's facial expressions and tone of voice, and the emotional state is analyzed using an emotion engine. The output is the analyzed emotional state (e.g., wanting to relax, feeling stressed, etc.).

[0855] What it does: The device activates the camera to capture the user's face, and the microphone records their voice in the background, sending this data to the emotion engine to analyze their emotional state.

[0856] Step 4:

[0857] The device sends the desired distance, current location information, and analyzed emotional state input by the user to the server. The input data is the desired distance information, current location information, and emotional state, and these are sent and passed to the server. The output is the transmission result to the server.

[0858] Specific operation: The device constructs an API request and sends the desired distance (5km), current location information (latitude and longitude), and emotional state to the server.

[0859] Step 5:

[0860] The server obtains route information using a map service. The input data is the current location information and desired distance information, and route information is obtained from the map API based on this. The output is possible route information.

[0861] Specific operation: The server calls the map service API and obtains route information (directions, distance, time, etc.) based on the specified latitude and longitude and desired distance.

[0862] Step 6:

[0863] The server uses a generative AI model to generate an optimal route based on the acquired route information and emotional state. The input data is the route information and emotional state, and the server calculates and generates the optimal route based on these. The output is the generated optimal route.

[0864] Specific operation: The server inputs route information and emotional state into the generated AI model, and based on the analysis results, generates an optimal walking course that includes relaxing parks and scenic spots.

[0865] Step 7:

[0866] The server sends the generated route information to the user's terminal. The input data is the generated optimal route information, and the output is the transmission result and the transmission data to the user's terminal.

[0867] Specific operation: The server sends the generated route information to the user terminal, and the terminal receives it.

[0868] Step 8:

[0869] The terminal visually displays the route on a map based on the received route information. The input data is the route information received from the server, and the output is the visual data displayed to the user.

[0870] Specific operation: The device launches the map application, plots the received route information on a map, and displays it so that the user can visually confirm it.

[0871] Through these steps, users can easily find the best walking or running route based on their desired distance and current emotional state.

[0872] (Application example 2)

[0873] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0874] Conventional walking and running route generation systems simply provide routes based on the user's desired distance, and are therefore unable to optimize routes that take into account the user's emotions and psychological state. As a result, there are issues with the system not providing appropriate routes that meet the user's psychological needs, such as boredom from repeatedly using the same route, and relaxation and stress relief.

[0875] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0876] In this invention, the server includes means for inputting distance information desired by the user, means for acquiring current location information, means for linking a map service with a generative AI model for calculating a generated route, means for generating route information based on the specified distance, means for recognizing the emotional state of the user, means for generating an optimal route based on the emotional state, means for transmitting the generated route information to the user's terminal, and means for displaying the route information on the user's terminal. This allows the server to provide an appropriate route according to the user's emotional state, improving the enjoyment of walking or running and eliminating boredom and dissatisfaction with psychological needs.

[0877] "Means for users to input desired distance information" refers to an interface that allows users to input the distance of their desired walk or run using their own device such as a smartphone or PC.

[0878] A "means for obtaining location information" is a device or system that obtains a user's current location in real time using GPS or other location information services.

[0879] "Means for linking a generative AI model with a map service to calculate a generated route" refers to a mechanism that combines a generative AI model with a map service (e.g., a map API) to calculate a route based on the user's desired distance and current location information.

[0880] The "means for generating route information based on a specified distance" refers to an algorithm or software for generating an appropriate route based on distance information entered by a user.

[0881] The "means for recognizing the user's emotional state" is a system that uses a camera, microphone, etc. to analyze the user's facial expressions and tone of voice, and determines the user's emotional state from the results.

[0882] The "means for generating optimal routes based on emotional state" refers to algorithms or software for selecting appropriate walking or running routes based on the user's emotional state.

[0883] "Means for transmitting generated route information to the user's terminal" refers to a communication system for sending the generated route information from the server to the user's smartphone, PC, etc.

[0884] The "means for displaying route information on the user's terminal" is an interface for drawing the received route information on a map and visually presenting it to the user.

[0885] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and acquiring the user's current location information. Furthermore, by combining this system with an emotion engine, it can propose optimal routes that take the user's emotional state into consideration.

[0886] First, the user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. Next, the device analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[0887] The device sends the desired distance, current location information, and emotional state entered by the user to the server. Based on the received information, the server obtains route information using a map service. The map service can be, for example, a publicly available map API. Next, the generative AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[0888] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses a map API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[0889] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[0890] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[0891] The hardware used includes the user's device (smartphone or PC), GPS, camera, and microphone for acquiring location information. The software used includes map APIs (e.g., Google Maps API), generative AI models, and emotion engines. By using prompts such as "Please tell me a relaxing walking route within 5km of my current location," an appropriate route is generated based on the user's needs.

[0892] As an example of a definition, "means for users to input desired distance information" corresponds to a user interface (UI). "Means for acquiring current location information" corresponds to a GPS module or location information service, and "means for linking a generative AI model to calculate the generated route with a map service" corresponds to an API integration system. Furthermore, "means for recognizing the user's emotional state" corresponds to facial expression recognition or voice analysis technology, and "means for generating the optimal route based on the emotional state" corresponds to a machine learning algorithm. "Means for sending generated route information to the user's device" corresponds to an internet communication function, and "means for displaying route information on the user's device" corresponds to a graphical user interface (GUI).

[0893] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0894] Step 1:

[0895] The user inputs the desired distance information

[0896] The user launches the system using a smartphone or PC and inputs the desired walking distance. For example, they can input "5km." The input data is "distance information," and the specified distance information is recorded as output. This provides the basic data for generating a route based on distance.

[0897] Step 2:

[0898] Get current location information

[0899] The device obtains the user's current location using location services such as GPS. The input data is a "location request," and the output is the user's current location coordinates, which are used to calculate the route.

[0900] Step 3:

[0901] Recognize the user's emotional state

[0902] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice, and determines the user's current emotional state through an emotion engine. The input data is "video data and audio data," and the output is "emotional state," which is an important factor in route optimization.

[0903] Step 4:

[0904] Sending user input data to the server

[0905] The device sends desired distance information, current location information, and emotional state to the server. The input data includes "distance information," "location information," and "emotional state," and the output is the completion of transmission to the server.

[0906] Step 5:

[0907] Obtaining route information using a map service

[0908] The server calls the map API based on the received current location information and obtains route information based on the specified distance. The input data are "location information" and "distance information," and the output is "basic route information."

[0909] Step 6:

[0910] Optimize your route by taking your emotional state into account

[0911] The server inputs the acquired basic route information and emotional state into a generative AI model to generate the optimal route. This generative AI model has the function of adjusting the route according to the user's emotional state. The input data are "basic route information" and "emotional state," and the output is "optimized route information."

[0912] Step 7:

[0913] Sending optimized route information to your device

[0914] The server sends the generated optimized route information to the user's device. The input data is the "optimized route information," and the information is sent to the user's device as output.

[0915] Step 8:

[0916] Display route information on the user's device

[0917] The device draws the received route information on a map for easy viewing by the user. The input data is "optimized route information," and the output is the route drawn on the map. For example, a route based on the prompt "Please tell me a relaxing walking route within 5km of my current location" is displayed. This function allows the user to visually check the route optimized for distance and psychological state.

[0918] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0919] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0920] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[0921] [Fourth embodiment]

[0922] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0923] 7, a 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.

[0924] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0925] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0926] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0927] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0928] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0929] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0930] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0931] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0932] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0933] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0934] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[0935] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and obtaining the user's current location information. This system works by linking a generative AI model with a map service.

[0936] The user starts the system using a device such as a smartphone or PC and inputs the desired walking distance. For example, if the user inputs "5km," the device sends this information and the user's current location information (obtained by GPS) to the server.

[0937] The server retrieves route information using an online map service based on the current location and desired distance. This can be done using a map service such as Google Maps API. The server uses the API to retrieve route information within the specified distance around the current location.

[0938] The server then uses the acquired route information to generate an AI model that calculates the optimal loop walking route based on the specified distance, taking into account factors such as safety and convenience.

[0939] The generated route information is sent from the server to the user's device, which then visually displays the route information to the user by drawing the route on a map for easy viewing.

[0940] As a specific example, consider a case where a user is located in Tokyo and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location, the server uses the Google Maps API to obtain route information around Tokyo. Next, a generative AI model uses this information to create a 5km loop route around a specific area of ​​Tokyo. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0941] This system allows users to easily discover new walking and running routes and enjoy daily exercise, while also contributing to maintaining their health by providing safe and convenient routes.

[0942] The present invention can provide new possibilities for users who are tired of the same routes or who are looking for walking courses in new places.

[0943] The processing flow will be explained below.

[0944] Step 1:

[0945] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and allows the use of GPS.

[0946] Specific actions

[0947] The user inputs the desired distance for a walk or run.

[0948] Allows the user to use the device's GPS functionality.

[0949] Step 2:

[0950] The device receives the user's input information, obtains the current location information (GPS location information), and then sends the desired distance and the current location information to the server.

[0951] Specific actions

[0952] Format the distance information and current location information entered by the user into JSON format.

[0953] Sends data to the server's API endpoint.

[0954] Step 3:

[0955] The server receives the user's distance information and current location information sent from the device and obtains route information using the Google Maps API.

[0956] Specific actions

[0957] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[0958] Get basic route information via points based on desired distance.

[0959] Step 4:

[0960] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[0961] Specific actions

[0962] The route is optimized based on the route information and desired distance information input into the generative AI model.

[0963] Adjust your route to fit a specified distance and create a safe and convenient loop course.

[0964] Step 5:

[0965] The server converts the generated route information into JSON format and sends it to the user's device.

[0966] Specific actions

[0967] Format the generated route information into JSON format.

[0968] Route information is sent to the device as an API response.

[0969] Step 6:

[0970] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[0971] Specific actions

[0972] Generate an HTML file for map display and draw route information on the map.

[0973] A browser is opened and the generated map information is displayed to the user.

[0974] This processing step allows the user to easily generate a loop walking course based on a specified distance and enjoy a new walking route.

[0975] Example 1

[0976] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[0977] For users who go for a walk or run, planning a new route every time is not only time-consuming, but also difficult to ensure safety and convenience. For users who are tired of the same route or looking for the best route in a new area, providing effective and safe routes is a challenge.

[0978] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0979] In this invention, the server includes a means for inputting desired distance information by the user, a means for acquiring current location information, a means for acquiring route information using an online map service, a means for generating an optimal route based on the specified distance using a generative AI model, a means for transmitting the generated route information to the user's device, and a means for displaying the route information on the user's device, allowing the user to easily find new walking or running routes and enjoy safe and convenient routes every time.

[0980] "User" refers to an individual who intends to use the system to generate a walking or running route.

[0981] "Distance information" refers to data indicating the distance a user wishes to travel for a walk or run.

[0982] "Current location information" refers to latitude and longitude data indicating the user's current location, obtained using the GPS function of the user's device, etc.

[0983] "Online map service" means a service that provides map information available via the Internet, including an API for obtaining route information.

[0984] A "generative AI model" is a model that uses artificial intelligence technology to analyze data and calculate and generate the optimal route based on specific conditions.

[0985] "Route information" refers to data that indicates the route or path a user will follow based on a specified distance.

[0986] "Terminal" refers to a digital device used by a user, such as a smartphone, PC, or tablet.

[0987] "Server" refers to the computer system that performs the central processing of this system and generates and provides route information through data communication with terminals.

[0988] "Display means" refers to a screen or application on the user's device that visually displays the received route information.

[0989] A "loop walking course" is a walking or running route designed to return to the starting point, and is calculated so that the total distance approaches the user's desired distance.

[0990] The present invention is a system that generates walking or running routes based on the specified distance by inputting the user's desired distance information and obtaining the user's current location information. This system functions by linking a generative AI model with a map service. Specific embodiments for implementing the present invention are described below.

[0991] Users start the system using a device such as a smartphone or PC and input the desired walking distance. For example, if they input "5km," the device sends this information and their current location information (obtained by GPS) to the server.

[0992] The server obtains route information using an online map service based on the received current location and desired distance. Examples of online map services that can be used include Google Maps API and other map APIs. The server uses these APIs to obtain route information within the specified distance around the current location.

[0993] The server then utilizes a generative AI model based on the acquired route information. The AI ​​model calculates the optimal loop walking course based on the specified distance, taking into account factors such as safety and convenience. The generative AI model generates the optimal route based on data such as the route length, terrain, and traffic conditions.

[0994] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The user can check the route on the device screen and follow it for a walk or run.

[0995] As a specific example, consider a case where a user is located in a certain location in City A and wants to take a 5km walking route. When the user enters "5km" into the system and provides their current location information, the server uses the Google Maps API to obtain route information around City A. Next, the generative AI model uses this information to create a 5km loop route that goes around a specific area of ​​City A. Finally, the generated route information is sent back to the user's device and displayed on a map.

[0996] Examples of prompts include the following:

[0997] "The user's current location is xxx in city A, and they would like to take a 5km walking course. Please suggest the best loop walking course around their current location."

[0998] This system allows users to easily discover new walking and running routes and enjoy daily exercise. It also contributes to maintaining users' health by providing safe and convenient routes. This invention offers new possibilities for users who are tired of the same old routes or who are looking for walking courses in new places.

[0999] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1000] Step 1:

[1001] The user inputs the desired distance information.

[1002] Specific operation: The user launches the dedicated application on the device and inputs the desired walking or running distance (e.g., "5km") into the interface. This input is sent to the device in text format.

[1003] Input: Distance information entered by the user (e.g., "5km")

[1004] Output: The desired distance information is saved on the device.

[1005] Step 2:

[1006] The device obtains the current location information.

[1007] How it works: The device's GPS function is used to determine the user's current location. The current location is obtained in the form of latitude and longitude, and the result is saved on the device.

[1008] Input: GPS function of the device

[1009] Output: Current location information (e.g., latitude 35.6895, longitude 139.6917) is stored on the device.

[1010] Step 3:

[1011] The device sends the desired distance and current location information to the server.

[1012] Specific operation: The device sends the acquired current location information and the desired distance information entered by the user together to the server, specifically using an HTTP POST request.

[1013] Input: distance information, current location information

[1014] Output: Desired distance and current location are sent to the server

[1015] Step 4:

[1016] The server obtains route information using an online map service.

[1017] Specific operation: The server sends a request to a map API (e.g., Google Maps API) based on the received current location and distance information. It receives route information returned from the API. This route information is data on routes and paths within a specified distance.

[1018] Input: current location information, desired distance information

[1019] Output: Route information obtained by the server

[1020] Step 5:

[1021] The server generates the optimal route using a generative AI model.

[1022] How it works: The server passes the acquired route information to the generation AI model. The model then uses this information to generate an optimal loop walking course based on the specified distance. Safety and convenience are also taken into consideration during the generation process.

[1023] Input: Route information

[1024] Output: Generated optimal route information

[1025] Step 6:

[1026] The server transmits the generated route information to the terminal.

[1027] How it works: The server compiles the optimal route information obtained from the generative AI model and sends it to the user's device, again via an HTTP POST request.

[1028] Input: Optimal route information

[1029] Output: Optimal route information sent to the terminal

[1030] Step 7:

[1031] The route information received by the device is visually displayed to the user.

[1032] Specific operation: The device analyzes the received optimal route information and visually displays it to the user using the map display function of the dedicated application. The route is drawn on the map, and the user can check the route and go for a walk or run.

[1033] Input: Optimal route information

[1034] Output: Route information displayed on a map

[1035] (Application example 1)

[1036] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1037] In today's world, delivery work is rapidly increasing, making efficiency and safety important issues. Food delivery, in particular, requires delivery personnel to arrive at their destinations quickly and safely. However, existing navigation systems have the problem of being unable to provide optimal routes in real time that take safety and time efficiency into consideration. This often leads to delivery personnel getting lost or choosing dangerous routes. Therefore, there is a need for a system that allows delivery personnel to select routes efficiently and safely.

[1038] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1039] In this invention, the server includes a means for inputting distance information desired by the user, a means for acquiring current location information, a means for linking a generating AI model for calculating the generated route with a map service, a means for generating an optimal route taking safety and time efficiency into consideration, a means for transmitting the generated route information to the user's terminal, and a means for displaying the route information on the user's terminal, thereby enabling the delivery person to obtain the optimal route from the current location to the destination in real time and make the delivery efficiently and safely.

[1040] A "means for inputting desired distance information" is an input device that a user uses to specify a particular distance.

[1041] A "means for obtaining current location information" is a device or function that identifies the user's current location and provides that information to the system.

[1042] "Generative AI model for calculating generated routes" means an artificial intelligence model used to calculate the optimal route based on the user's desired conditions.

[1043] "Means for linking map services" refers to a service that links generative AI models with map information to assist in route calculation.

[1044] The "means for generating route information based on a specified distance" is a process or function that creates an optimal route based on the distance entered by the user.

[1045] "Means for transmitting the generated route information to the user's device" means a communications function that transfers the calculated route information to the user's device.

[1046] "Means for displaying route information on a user's terminal" refers to a display device or function that allows a user to visually check route information.

[1047] "A means for generating the optimal route taking into consideration safety and time efficiency" is a calculation function for selecting a safe and time-efficient route in delivery operations.

[1048] The "optimal route" is a route that takes into maximum consideration travel time and safety to the destination.

[1049] DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a system for generating efficient and safe routes in delivery work. DETAILED DESCRIPTION OF THE INVENTION The following describes in detail an embodiment of the present invention.

[1050] The system has the following main features:

[1051] 1. A means for users to input desired distance information: Users input desired delivery distance information using an input device such as a smartphone or tablet.

[1052] 2. How to obtain current location information: The system uses GPS to obtain the delivery person's current location. This can be achieved through various GPS modules or GPS sensors built into smart devices.

[1053] 3. Linking the generative AI model with a map service: The server uses Google Maps API or a similar map service to link the generative AI model with map information, thereby effectively generating delivery route information.

[1054] 4. A method for generating route information based on a specified distance: Generates the optimal route based on the specified distance entered by the user. This process calculates the route taking into account the specified distance and the current location.

[1055] 5. A means to generate optimal routes taking into account safety and time efficiency: Based on input information, the generative AI model optimizes routes to maximize delivery safety and time efficiency.

[1056] 6. Means for sending generated route information to user's device: The optimized route information is sent from the server to the user's device using a communication protocol such as HTTP or HTTPS.

[1057] 7. Displaying route information on the user's device: The user's device visually displays the route information sent to them. This can be done through a smartphone map app or a dedicated display application.

[1058] Operational Overview

[1059] When a user actually uses the system, they first input the specified distance on their smartphone or tablet to obtain their current location information. This information is sent to the server, where the generative AI model and map service work together to generate the optimal route. The generated route takes safety and time efficiency into consideration and is designed to enable delivery personnel to reach their destination efficiently.

[1060] Specific examples

[1061] For example, suppose a delivery person requests the "optimal route within 5km." In this case, the delivery person enters "5km" into their smartphone and provides their current location information. The server uses the Google Maps API to obtain route information around the current location, and the generative AI model calculates the optimal route based on this information. The generated route is sent to the delivery person's device and displayed on a map.

[1062] Prompt Sentence Examples

[1063] "Optimize the following route for safety and efficiency:\n{JSON string of route information}"

[1064] The server uses these prompts to provide optimization instructions to the generative AI model, allowing delivery workers to choose safer and more efficient routes.

[1065] This will significantly improve the efficiency and safety of delivery operations and reduce the burden on delivery personnel.

[1066] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1067] Step 1:

[1068] The user inputs the desired delivery distance information using a device such as a smartphone or tablet. The input distance information (e.g., "5km") is temporarily saved in the device and prepared for the next transmission. The input data is only distance information, and the route is generated based on this information.

[1069] Step 2:

[1070] The device acquires current location information. Using the GPS function, it collects current latitude and longitude data. The collected current location information is sent to the server along with distance information. The input is GPS data, and the output is the current location coordinate data.

[1071] Step 3:

[1072] The server receives the current location and desired distance information from the device and uses a map service (e.g., Google Maps API) to obtain route information within the specified distance from the current location. The server sends the current location and desired distance to the map service and temporarily stores the obtained route information for use in the next step. The input is the current location and distance information, and the output is tentative route information.

[1073] Step 4:

[1074] The server uses the generative AI model to optimize the route information obtained from the map service. Here, the AI ​​model recalculates the route based on the prompt to take safety and time efficiency into account. An example of the prompt used is "Optimize the following route for safety and efficiency:\n{JSON string of route information}". The input is tentative route information and the prompt, and the output is optimized route information.

[1075] Step 5:

[1076] The server sends the optimized route information back to the user's device. Data is securely transferred using HTTP or HTTPS communication protocols. The input is the optimized route information, and the output is the route information transferred to the device.

[1077] Step 6:

[1078] The device visually displays the optimized route information received. Users can check the optimal route on a map through a map display application or a dedicated viewer. The input is the optimized route information, and the output is a visual display on the map.

[1079] This system allows users to efficiently and safely obtain routes to their destinations and proceed with delivery work.

[1080] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1081] This system generates walking or running routes based on the distance a user wants to travel by inputting the user's desired distance and acquiring the user's current location information. Furthermore, this system is characterized by its ability to propose optimal routes that take into account the user's emotional state by incorporating an emotion engine.

[1082] The user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. The device then analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[1083] The device sends the user's desired distance, current location information, and emotional state to the server. Based on the received information, the server obtains route information using map services such as Google Maps API. Next, the generated AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[1084] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses the Google Maps API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[1085] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[1086] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[1087] This invention offers new possibilities that take into account emotional states for users who are tired of the same old routes or who are looking for new walking courses, and can add variety to the way users enjoy walking or running, contributing to maintaining health and changing moods.

[1088] The processing flow will be explained below.

[1089] Step 1:

[1090] The user launches the application on their smartphone or PC, inputs the desired walking distance, for example, "5km," and authorizes the use of GPS. Furthermore, they authorize the use of the camera and microphone to recognize the user's emotional state.

[1091] Specific actions

[1092] The user inputs the desired distance for a walk or run.

[1093] Allows the user to use the device's GPS functionality.

[1094] The user allows the device's camera and microphone to be used.

[1095] Step 2:

[1096] The device receives user input information and obtains current location information (GPS location information), while simultaneously analyzing the user's emotional state using a camera and microphone.

[1097] Specific actions

[1098] Obtain distance information and current location information entered by the user.

[1099] The camera and microphone collect data on the user's facial expressions and voice, and the emotion engine analyzes their emotional state.

[1100] Emotional state information is obtained as the analysis result.

[1101] Step 3:

[1102] The device transmits the desired distance, current location information, and emotional state information to the server.

[1103] Specific actions

[1104] The desired distance, current location information, and emotional state information are formatted into JSON format.

[1105] Sends data to the server's API endpoint.

[1106] Step 4:

[1107] The server receives the user's distance information, current location information, and emotional state information sent from the device, and obtains route information using the Google Maps API.

[1108] Specific actions

[1109] Initialize a Google Maps API client and search for points within a specified distance from your current location.

[1110] Get basic route information via points based on desired distance.

[1111] Step 5:

[1112] Based on the route information obtained by the server, an optimal loop walking course is generated using a generative AI model.

[1113] Specific actions

[1114] The route is optimized based on the route information and desired distance information input into the generative AI model.

[1115] It adjusts your route to fit a specified distance and creates a loop course that takes your emotional state into account.

[1116] Step 6:

[1117] The server converts the generated route information into JSON format and sends it to the user's device.

[1118] Specific actions

[1119] Format the generated route information into JSON format.

[1120] Route information is sent to the device as an API response.

[1121] Step 7:

[1122] The terminal displays the route information received from the server on a map, providing a visual representation to the user.

[1123] Specific actions

[1124] Generate an HTML file for map display and draw route information on the map.

[1125] A browser is opened and the generated map information is displayed to the user.

[1126] This processing step allows users to easily generate a loop walking course based on a specified distance, and further allows users to enjoy the optimal walking route according to their emotional state, for example, a quiet route is provided if they want to relax.

[1127] Example 2

[1128] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1129] Conventional walking and running route generation systems only generate routes based on the user's current location information and desired distance information. As a result, they do not propose optimal routes that take into account the user's emotional state or mood, limiting user satisfaction and effectiveness. The present invention solves this problem by considering the user's emotional state and proposing loop walking courses that are optimal for each individual user.

[1130] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes a means for recognizing the emotional state of the user, a means for transmitting the acquired emotional state, current location information, and desired distance information to the server, a means for acquiring route information in conjunction with a map service, and a means for generating an optimal route based on a specified distance and emotional state using a generative AI model. This makes it possible to automatically generate and display an optimal route according to the emotional state of the user.

[1131] "Means for users to input desired distance information" refers to an interface on a device or software that allows a user to input the desired distance for a walk or run.

[1132] "Means for obtaining current location information" refers to devices or technologies for obtaining the user's current location information (latitude and longitude) using GPS or other location information services.

[1133] "Means for recognizing the user's emotional state" refers to a system or algorithm that uses a camera or microphone to analyze the user's facial expressions and tone of voice, and then uses an emotion engine to determine the user's emotional state.

[1134] The "means for transmitting the acquired emotional state, current location information, and desired distance information to the server" is a communication system for transmitting information such as emotional data, location information, and desired distance collected from the terminal to the server via a network.

[1135] "Means for obtaining route information by linking with a map service" refers to a service or technology that allows a server to obtain possible route information based on a specified point and distance using a map API.

[1136] "Means for generating an optimal route based on a specified distance and emotional state using a generative AI model" refers to an algorithm or system that uses a generative AI model to create an optimal walking or running route for a user based on the acquired route information and emotional state.

[1137] The "means for transmitting the generated route information to the user's terminal" refers to a communication means by which the server transfers the generated route information to the user's terminal.

[1138] "Means for displaying route information on a user's device" means an application or interface for visually displaying route information and maps on a user's device.

[1139] The present invention relates to a system that generates optimal walking or running routes by taking into account the user's emotional state when inputting desired distance information. Hereinafter, we will explain how to implement this system in detail.

[1140] The user starts the system using a device such as a smartphone or PC. The system provides an interface for the user to input the distance of their desired walk or run. For example, the user inputs the desired distance as "5km." The system also uses the GPS function to obtain the user's current location. If necessary, the system asks the user for permission to use the GPS.

[1141] The device then uses the built-in camera and microphone to recognize the user's emotional state by analyzing the user's facial expressions and tone of voice. For example, it uses technology like "Affectiva" as an emotion engine to determine the user's emotional state (relaxed, stressed, etc.).

[1142] The desired distance information, emotional state, and current location information entered by the user are sent from the device to the server. The server uses the received information to obtain route information using a map service (e.g., Google Maps API). Specifically, the server searches for possible routes within the desired distance from the user's current location.

[1143] The server then uses a generative AI model (such as GPT-4) to generate an optimal route based on the acquired route information and emotional state. For example, the generative AI model might suggest a route that includes a quiet park or a walking course that includes scenic spots. If the user's emotional state indicates a desire to relax, a route that includes relaxing elements will be generated.

[1144] The generated route information is sent from the server to the user's device, which then visually displays the route on a map based on the received route information.The user can then go for a walk or run while looking at this.

[1145] This system allows users to easily generate optimal walking or running routes based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently, contributing to maintaining their health and changing their mood.

[1146] A specific example of its use is a prompt sentence in which the user inputs "I want to know a 5km walking route from my current location" and conveys the emotional state they want to relax in. Based on this information, the server generates optimal walking courses, including quiet parks and scenic routes, and provides them to the user.

[1147] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1148] Step 1:

[1149] The user starts the system using a smartphone or PC. On the initial screen, the user enters the desired walking distance and authorizes the use of GPS. The data entered by the user is the desired distance information (e.g., "5km") and GPS permission information. This allows the system to recognize the user's desired distance and prepare to obtain current location information.

[1150] Specific behavior: The user launches the application, enters "5km", taps the "Next" button, and allows GPS use.

[1151] Step 2:

[1152] The device uses the GPS function to obtain the user's current location information. The latitude and longitude data obtained from the GPS is input, and by obtaining this, the current location information is obtained.

[1153] Specific operation: The device starts the GPS module and obtains the current latitude and longitude data. If the user selects "Allow", the GPS information will be obtained by the device.

[1154] Step 3:

[1155] The device uses a built-in camera and microphone to recognize the user's emotional state. The input data is the user's facial expressions and tone of voice, and the emotional state is analyzed using an emotion engine. The output is the analyzed emotional state (e.g., wanting to relax, feeling stressed, etc.).

[1156] What it does: The device activates the camera to capture the user's face, and the microphone records their voice in the background, sending this data to the emotion engine to analyze their emotional state.

[1157] Step 4:

[1158] The device sends the desired distance, current location information, and analyzed emotional state input by the user to the server. The input data is the desired distance information, current location information, and emotional state, and these are sent and passed to the server. The output is the transmission result to the server.

[1159] Specific operation: The device constructs an API request and sends the desired distance (5km), current location information (latitude and longitude), and emotional state to the server.

[1160] Step 5:

[1161] The server obtains route information using a map service. The input data is the current location information and desired distance information, and route information is obtained from the map API based on this. The output is possible route information.

[1162] Specific operation: The server calls the map service API and obtains route information (directions, distance, time, etc.) based on the specified latitude and longitude and desired distance.

[1163] Step 6:

[1164] The server uses a generative AI model to generate an optimal route based on the acquired route information and emotional state. The input data is the route information and emotional state, and the server calculates and generates the optimal route based on these. The output is the generated optimal route.

[1165] Specific operation: The server inputs route information and emotional state into the generated AI model, and based on the analysis results, generates an optimal walking course that includes relaxing parks and scenic spots.

[1166] Step 7:

[1167] The server sends the generated route information to the user's terminal. The input data is the generated optimal route information, and the output is the transmission result and the transmission data to the user's terminal.

[1168] Specific operation: The server sends the generated route information to the user terminal, and the terminal receives it.

[1169] Step 8:

[1170] The terminal visually displays the route on a map based on the received route information. The input data is the route information received from the server, and the output is the visual data displayed to the user.

[1171] Specific operation: The device launches the map application, plots the received route information on a map, and displays it so that the user can visually confirm it.

[1172] Through these steps, users can easily find the best walking or running route based on their desired distance and current emotional state.

[1173] (Application example 2)

[1174] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1175] Conventional walking and running route generation systems simply provide routes based on the user's desired distance, and are therefore unable to optimize routes that take into account the user's emotions and psychological state. As a result, there are issues with the system not providing appropriate routes that meet the user's psychological needs, such as boredom from repeatedly using the same route, and relaxation and stress relief.

[1176] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1177] In this invention, the server includes means for inputting distance information desired by the user, means for acquiring current location information, means for linking a map service with a generative AI model for calculating a generated route, means for generating route information based on the specified distance, means for recognizing the emotional state of the user, means for generating an optimal route based on the emotional state, means for transmitting the generated route information to the user's terminal, and means for displaying the route information on the user's terminal. This allows the server to provide an appropriate route according to the user's emotional state, improving the enjoyment of walking or running and eliminating boredom and dissatisfaction with psychological needs.

[1178] "Means for users to input desired distance information" refers to an interface that allows users to input the distance of their desired walk or run using their own device such as a smartphone or PC.

[1179] A "means for obtaining location information" is a device or system that obtains a user's current location in real time using GPS or other location information services.

[1180] "Means for linking a generative AI model with a map service to calculate a generated route" refers to a mechanism that combines a generative AI model with a map service (e.g., a map API) to calculate a route based on the user's desired distance and current location information.

[1181] The "means for generating route information based on a specified distance" refers to an algorithm or software for generating an appropriate route based on distance information entered by a user.

[1182] The "means for recognizing the user's emotional state" is a system that uses a camera, microphone, etc. to analyze the user's facial expressions and tone of voice, and determines the user's emotional state from the results.

[1183] The "means for generating optimal routes based on emotional state" refers to algorithms or software for selecting appropriate walking or running routes based on the user's emotional state.

[1184] "Means for transmitting generated route information to the user's terminal" refers to a communication system for sending the generated route information from the server to the user's smartphone, PC, etc.

[1185] The "means for displaying route information on the user's terminal" is an interface for drawing the received route information on a map and visually presenting it to the user.

[1186] This invention is a system that generates walking or running routes based on the user's desired distance by inputting the user's desired distance information and acquiring the user's current location information. Furthermore, by combining this system with an emotion engine, it can propose optimal routes that take the user's emotional state into consideration.

[1187] First, the user launches the system using a smartphone or PC device and inputs the desired walking distance. For example, they input "5km" and allow the use of GPS. Next, the device analyzes the user's facial expressions and tone of voice using a camera and microphone to recognize the user's emotional state. Based on the results of this analysis, the emotion engine determines the user's current emotional state.

[1188] The device sends the desired distance, current location information, and emotional state entered by the user to the server. Based on the received information, the server obtains route information using a map service. The map service can be, for example, a publicly available map API. Next, the generative AI model and emotion engine work together based on the obtained route information to generate an optimal loop walking course based on the specified distance and taking the user's emotional state into consideration.

[1189] For example, suppose a user is in a certain location in Tokyo, wants to take a 5km walking course, and is currently in a state of emotional desire to relax. The server uses a map API to obtain route information around Tokyo, and the generative AI model and emotion engine work together to select a quiet park or a scenic route where users can relax based on this information.

[1190] The generated route information is sent from the server to the user's device, which then visually displays the route to the user. Specifically, the route is drawn on a map for easy viewing. The displayed route includes relaxing and scenic spots.

[1191] This system allows users to easily generate optimal loop walking courses based not only on a specified distance but also on their emotional state, allowing them to enjoy new walking routes safely and conveniently. For example, it suggests a relaxing route when you want to reduce stress, or a route that allows moderate exercise when you want to get some exercise.

[1192] The hardware used includes the user's device (smartphone or PC), GPS, camera, and microphone for acquiring location information. The software used includes map APIs (e.g., Google Maps API), generative AI models, and emotion engines. By using prompts such as "Please tell me a relaxing walking route within 5km of my current location," an appropriate route is generated based on the user's needs.

[1193] As an example of a definition, "means for users to input desired distance information" corresponds to a user interface (UI). "Means for acquiring current location information" corresponds to a GPS module or location information service, and "means for linking a generative AI model to calculate the generated route with a map service" corresponds to an API integration system. Furthermore, "means for recognizing the user's emotional state" corresponds to facial expression recognition or voice analysis technology, and "means for generating the optimal route based on the emotional state" corresponds to a machine learning algorithm. "Means for sending generated route information to the user's device" corresponds to an internet communication function, and "means for displaying route information on the user's device" corresponds to a graphical user interface (GUI).

[1194] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1195] Step 1:

[1196] The user inputs the desired distance information

[1197] The user launches the system using a smartphone or PC and inputs the desired walking distance. For example, they can input "5km." The input data is "distance information," and the specified distance information is recorded as output. This provides the basic data for generating a route based on distance.

[1198] Step 2:

[1199] Get current location information

[1200] The device obtains the user's current location using location services such as GPS. The input data is a "location request," and the output is the user's current location coordinates, which are used to calculate the route.

[1201] Step 3:

[1202] Recognize the user's emotional state

[1203] The device uses a camera and microphone to analyze the user's facial expressions and tone of voice, and determines the user's current emotional state through an emotion engine. The input data is "video data and audio data," and the output is "emotional state," which is an important factor in route optimization.

[1204] Step 4:

[1205] Sending user input data to the server

[1206] The device sends desired distance information, current location information, and emotional state to the server. The input data includes "distance information," "location information," and "emotional state," and the output is the completion of transmission to the server.

[1207] Step 5:

[1208] Obtaining route information using a map service

[1209] The server calls the map API based on the received current location information and obtains route information based on the specified distance. The input data are "location information" and "distance information," and the output is "basic route information."

[1210] Step 6:

[1211] Optimize your route by taking your emotional state into account

[1212] The server inputs the acquired basic route information and emotional state into a generative AI model to generate the optimal route. This generative AI model has the function of adjusting the route according to the user's emotional state. The input data are "basic route information" and "emotional state," and the output is "optimized route information."

[1213] Step 7:

[1214] Sending optimized route information to your device

[1215] The server sends the generated optimized route information to the user's device. The input data is the "optimized route information," and the information is sent to the user's device as output.

[1216] Step 8:

[1217] Display route information on the user's device

[1218] The device draws the received route information on a map for easy viewing by the user. The input data is "optimized route information," and the output is the route drawn on the map. For example, a route based on the prompt "Please tell me a relaxing walking route within 5km of my current location" is displayed. This function allows the user to visually check the route optimized for distance and psychological state.

[1219] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1220] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1221] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1222] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1223] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1224] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1225] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1226] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1227] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1228] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1229] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1230] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1231] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1232] 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.

[1233] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1234] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1235] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1236] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1237] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1238] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1239] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1240] The following is further disclosed regarding the above embodiment.

[1241] (Claim 1)

[1242] a means for the user to input desired distance information;

[1243] A means for obtaining current location information;

[1244] A means for linking the generative AI model to a map service to calculate the generated route; and

[1245] means for generating route information based on a specified distance;

[1246] a means for transmitting the generated route information to a user's terminal;

[1247] a means for displaying route information on a user's device;

[1248] A system including:

[1249] (Claim 2)

[1250] The system of claim 1, wherein the system generates a loop walking course based on a specified distance from the user's current location.

[1251] (Claim 3)

[1252] 10. The system of claim 1, wherein the system optimizes a route based on a specified distance using a generative AI model.

[1253] "Example 1"

[1254] Following the format, we rewrite the original patent claims to include the technical features of the new system.

[1255] ---

[1256] (Claim 1)

[1257] a means for the user to input desired distance information;

[1258] A means for obtaining current location information;

[1259] A means of obtaining route information using an online map service;

[1260] means for generating an optimal route based on a specified distance using a generative AI model;

[1261] a means for transmitting the generated route information to a user's terminal;

[1262] a means for displaying route information on a user's device;

[1263] A system including:

[1264] (Claim 2)

[1265] The system of claim 1, wherein the system generates a loop walking course based on a specified distance from the user's current location.

[1266] (Claim 3)

[1267] 10. The system of claim 1, wherein the system optimizes a route based on a specified distance using a generative AI model.

[1268] ---

[1269] "Application Example 1"

[1270] (Claim 1)

[1271] a means for the user to input desired distance information;

[1272] A means for obtaining current location information;

[1273] A means for linking the generative AI model to a map service to calculate the generated route; and

[1274] means for generating route information based on a specified distance;

[1275] a means for transmitting the generated route information to a user's terminal;

[1276] a means for displaying route information on a user's device;

[1277] A means to generate optimal routes taking into account safety and time efficiency,

[1278] A system including:

[1279] (Claim 2)

[1280] 10. The system of claim 1, wherein the system generates a delivery route based on a specified distance from the user's current location.

[1281] (Claim 3)

[1282] 10. The system of claim 1, wherein the system optimizes a route based on a specified distance using a generative AI model.

[1283] "Example 2: Combining Emotion Engines"

[1284] (Claim 1)

[1285] a means for the user to input desired distance information;

[1286] A means for obtaining current location information;

[1287] a means for recognizing the emotional state of a user;

[1288] means for transmitting the acquired emotional state, current location information, and desired distance information to a server;

[1289] A means of obtaining route information by linking with a map service;

[1290] a means for generating an optimal route based on a specified distance and emotional state using a generative AI model;

[1291] a means for transmitting the generated route information to a user's terminal;

[1292] a means for displaying route information on a user's device;

[1293] A system including:

[1294] (Claim 2)

[1295] The system of claim 1, which generates an optimal loop walking course based on a specified distance from the user's current location and taking into account the user's emotional state.

[1296] (Claim 3)

[1297] The system of claim 1, wherein the system generates an optimal route according to the emotional state using a generative AI model.

[1298] "Application example 2 when combining emotion engines"

[1299] New Claims:

[1300] (Claim 1)

[1301] a means for the user to input desired distance information;

[1302] A means for obtaining current location information;

[1303] A means for linking the generative AI model to a map service to calculate the generated route; and

[1304] means for generating route information based on a specified distance;

[1305] a means for recognizing the emotional state of a user;

[1306] means for generating an optimal route based on the emotional state;

[1307] a means for transmitting the generated route information to a user's terminal;

[1308] a means for displaying route information on a user's device;

[1309] A system including:

[1310] (Claim 2)

[1311] The system of claim 1, wherein the system generates a loop walking course based on a specified distance from the user's current location.

[1312] (Claim 3)

[1313] 10. The system of claim 1, wherein the system optimizes a route based on a specified distance using a generative AI model. [Explanation of symbols]

[1314] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a means for the user to input desired distance information; A means for obtaining current location information; A means for linking the generative AI model to a map service to calculate the generated route; and means for generating route information based on a specified distance; a means for transmitting the generated route information to a user's terminal; a means for displaying route information on a user's device; A system including:

2. The system of claim 1 , wherein the system generates a loop walking course based on a specified distance from the user's current location.

3. The system of claim 1 , wherein the system optimizes routes based on specified distances using a generative AI model.

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