system

Abstract

We provide the system. [Solution] A system for calculating geographical travel routes for users, A calculation means for optimizing a route to avoid slopes and steps, Means for adjusting the route based on the position information of the lifting device and ramp, A means of acquiring and providing real-time infrastructure information around the destination, A method for selecting travel routes using infrastructure data for the entire city, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Users of wheelchairs and strollers face the problem that it is difficult to move safely and smoothly due to road conditions with steep slopes and many steps, and the lack of appropriate route information. Furthermore, access to appropriate facility information for such users is also limited, so the convenience around the destination is not ensured.

Means for Solving the Problems

[0005] This invention provides a system that uses an optimization algorithm to help wheelchair and stroller users avoid steep slopes and steps, and provides routes that take into account the presence or absence of elevators and ramps. This system has a function to acquire barrier-free facility information around the destination in real time and to easily guide users along the route through voice guidance. In addition, it facilitates access to relevant information by displaying advertising data that includes barrier-free facility information.

[0006] A "wheelchair" or "stroller" is a wheeled device designed to transport a person or infant who has difficulty moving.

[0007] "User" refers to a person who uses a wheelchair or stroller to get around.

[0008] A "geographic route" is information that shows the path from one point to another.

[0009] A "computer system" is a system consisting of multiple electronic devices used to process data and perform specific tasks.

[0010] "Steep slope" refers to a condition where a slope is extremely steep, which can be an obstacle for wheelchair users and strollers.

[0011] A "step" is a difference in height on the ground or elsewhere, which can cause problems for wheelchairs and strollers.

[0012] An "algorithm" is a systematized set of procedures or calculation methods for solving a specific problem.

[0013] An elevator is a vertical movement device used to move people or goods up and down between different floors.

[0014] A "slope" is a plane that is not parallel to a horizontal plane, and is a ramp designed to facilitate the movement of wheelchairs and strollers.

[0015] "Real-time" refers to a situation where results are provided almost without delay.

[0016] "Voice guidance" is a technology that transmits information and instructions through voice.

[0017] "Advertising data" is a group of information collected for the purpose of promoting specific products or services.

[0018] "Barrier-free facility" refers to a facility designed to be easily accessible to all people.

Brief Explanation of Drawings

[0019] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when combined with an emotion engine. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when combined with an emotion engine.

Mode for Carrying Out the Invention

[0020] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0021] First, the terms used in the following description will be explained.

[0022] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc.

[0023] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0024] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0025] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0026] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0027] [First Embodiment]

[0028] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0029] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0030] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0031] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0032] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0033] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0034] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0035] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0037] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0038] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0039] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0040] This invention provides a navigation system that supports safe and comfortable travel for users of wheelchairs and strollers. To provide the optimal route, the system is configured as follows:

[0041] The user first enters their departure and destination points using a terminal. This information is transmitted to the server in real time via the terminal. The server uses this information to retrieve geographical data from a database and then identifies a route with minimal steep inclines and uneven terrain.

[0042] The server executes an algorithm to calculate a route that includes barrier-free facilities such as elevators and ramps, and sends the result back to the terminal. At the same time, the server also acquires information on barrier-free facilities around the destination and sends useful information to the user in real time to the terminal.

[0043] The terminal displays information retrieved from the server on a map and provides voice guidance to the user. The voice guidance is designed for users to receive hands-free navigation. Specifically, it provides instructions such as "Turn right in 500 meters" via voice. This feature allows users to obtain information through means other than sight while on the move.

[0044] The device also offers a premium service, which removes ads and provides detailed facility reviews. This allows users to obtain more reliable information.

[0045] For example, if a user is traveling from a certain point in Tokyo to a park, selecting a route with fewer steep inclines makes it easier to travel using a wheelchair or stroller. Furthermore, the system can obtain information on public barrier-free facilities during the journey, allowing users to utilize public restrooms and parking lots as needed.

[0046] Thus, the present invention aims to provide wheelchair and stroller users with a more comfortable and safer mobility experience.

[0047] The following describes the processing flow.

[0048] Step 1:

[0049] The user enters their departure and destination points into the device. This gathers the initial information necessary to begin the journey.

[0050] Step 2:

[0051] The device receives user input and sends a route search request to the server. The data sent includes specific location information.

[0052] Step 3:

[0053] Based on the request received by the server, it retrieves relevant geographical information and accessibility facility information from the database. This information is essential for route calculation.

[0054] Step 4:

[0055] Based on geographical information acquired by the server, the system calculates the optimal route to avoid steep slopes and uneven terrain. This calculation uses an algorithm, prioritizing routes that include elevators or ramps.

[0056] Step 5:

[0057] The server compiles route information and information on barrier-free facilities around the destination and sends it to the terminal. This information is necessary for the user to access the destination.

[0058] Step 6:

[0059] The device visually displays route information received from the server on a map. The voice assistant also begins providing guidance, such as "Turn right at the next intersection."

[0060] Step 7:

[0061] The user follows voice guidance to move towards their destination. During this time, the device continuously monitors the route in real time and updates the guidance as needed.

[0062] Step 8:

[0063] (When using the premium service) The device will hide ads and provide more detailed facility information and user reviews. This allows users to access convenient information while on the go.

[0064] (Example 1)

[0065] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0066] For people using mobility aids, conventional route guidance systems sometimes select routes with steep inclines or many steps, which can make travel difficult. Furthermore, a lack of information on barrier-free facilities around destinations can further restrict users' mobility. Additionally, conventional systems suffer from low accuracy in voice guidance and a lack of detailed facility information for users.

[0067] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0068] In this invention, the server includes a calculation means for acquiring geographic information from a data management device and optimizing routes to avoid steep slopes and steps, a means for adjusting routes based on location information of barrier-free facilities, and a means for acquiring facility information around the destination in real time and providing it to the user. As a result, the user can select the optimal route with fewer steep slopes and steps and acquire barrier-free facility information in real time. In addition, by receiving highly accurate guidance through a voice generation device, safer and more comfortable travel is realized.

[0069] "Mobility assistance devices" refer to devices that provide physical assistance during movement, such as wheelchairs and strollers.

[0070] "Information processing equipment" is a general term for electronic devices that perform calculations and data management, especially servers and terminals.

[0071] "Geographic information" refers to information that includes physical spatial data such as land shape and road networks.

[0072] A "data management device" is a system used to store, manage, and provide large amounts of data, particularly as a database.

[0073] "A computational means for optimizing a route" refers to an algorithm or program that calculates the most efficient route under specific conditions.

[0074] "Barrier-free facilities" refer to physical facilities designed to be easily accessible to all people, such as elevators and ramps.

[0075] An "acoustic command device" refers to a device or system that communicates instructions to the user through voice.

[0076] "Public relations information" refers to information such as advertisements intended to promote products or services.

[0077] "Selection method" refers to the means or interface for switching between options and functions according to the user's preferences.

[0078] This invention is a navigation system using an information processing device that enables users, primarily those using mobility assistance devices, to travel safely and comfortably to their destination. The system is configured as follows:

[0079] The user first enters their departure and destination points using a terminal. This information is then transmitted to the information processing unit. A commercially available smartphone or a dedicated device can be used as the terminal. The entered geographical information is sent to the server via the terminal.

[0080] The server retrieves geographic information from a data management device based on the information it receives. This information is accessed from map databases and publicly available geographic information APIs. After retrieving the data, the server executes an optimization algorithm to avoid steep slopes and uneven terrain. This optimization algorithm uses search algorithms such as Dijkstra's algorithm and A.

[0081] Next, the server acquires additional location information for barrier-free facilities and further adjusts the route. This location information includes data on elevators, ramps, etc., which can be obtained from public databases or developer APIs.

[0082] The acquired route information and facility data are sent back to the terminal in real time. Based on this information, the terminal performs visual navigation using a map application and provides voice guidance using an acoustic command device. This voice guidance uses natural-sounding speech generated by an AI model, making it possible to provide easy-to-understand instructions to the user.

[0083] As a concrete example, let's consider a scenario where a user travels from a starting point in a busy downtown area to a destination in a park. This system selects a route with minimal steep inclines and provides information on accessible restrooms and parking lots along the way, allowing the user to travel with peace of mind.

[0084] Another example of a prompt message could be: "Please tell me the optimal route for a wheelchair user to travel safely from their starting point to their destination. Please also provide information on barrier-free facilities."

[0085] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0086] Step 1:

[0087] The user enters their departure and destination locations using their device. This information is entered via touchscreen or voice input, and the user presses a "Submit" button to send the entered information to the server. The entered geographical information is formatted as JSON data and sent to the server via an HTTP request.

[0088] Step 2:

[0089] The server analyzes the origin and destination information received from the user. Based on the analyzed data, it retrieves geographic information from the data management device. This retrieval is done using queries from map databases and API services. The retrieved geographic information is simply map data in its raw form, and is then optimized in the next step.

[0090] Step 3:

[0091] The server calculates a route that avoids steep slopes and steps based on the acquired geographical information. It uses pathfinding algorithms such as Dijkstra's algorithm and the A algorithm to identify the shortest path between points. In this process, it also takes slope and step data into consideration to generate the most barrier-free route. The calculation results are stored in memory as intermediate data.

[0092] Step 4:

[0093] The server acquires additional location information for barrier-free facilities and adjusts the route. It retrieves elevator and ramp data from relevant APIs and integrates it with the existing route data. This integration process fine-tunes the existing route, generating a more optimized route. The results are compiled into a complete, integrated route data.

[0094] Step 5:

[0095] The server sends the final route information and facility data to the terminal. The data, formatted in JSON format, is returned to the terminal as an HTTP response. At this time, confirmation of successful communication and error handling are performed in parallel.

[0096] Step 6:

[0097] The terminal displays route information received from the server and provides voice guidance. It visualizes the route using a map application and provides voice guidance to the user using an acoustic command device. For example, it delivers instructions such as "Turn right at the next intersection" using AI-generated voice. Users can receive navigation to their destination not only visually but also audibly.

[0098] (Application Example 1)

[0099] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0100] In modern urban environments, people using wheelchairs or strollers often face difficulties finding safe and comfortable routes. In particular, avoiding steep inclines and steps, and selecting barrier-free routes, is not easy. To address this problem, route guidance based on updated infrastructure information across the entire city is needed.

[0101] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0102] In this invention, the server includes a calculation means for optimizing routes to avoid slopes and steps, a means for adjusting routes based on the position information of elevators and ramps, a means for acquiring and providing infrastructure information around the destination in real time, and a means for selecting a travel route using infrastructure data for the entire city. This makes it possible for wheelchair and stroller users to easily find safe and barrier-free routes.

[0103] A "geographic travel route" is the path a user should follow when traveling from one point to their destination, and it includes geographical location information.

[0104] A "system" refers to electrical devices or assemblies used to process and provide digital data, such as computers and servers.

[0105] "A computational means for optimizing routes to avoid slopes and steps" refers to an algorithm or its execution mechanism for calculating the flattest and most user-friendly route while avoiding road gradients and steps.

[0106] "Location information for lifting devices and ramps" refers to data regarding the location of barrier-free facilities such as elevators and ramps.

[0107] "Means for acquiring and providing infrastructure information in real time" refers to technologies and systems for instantly collecting and providing environmental information related to users' movement, such as public facilities and traffic conditions.

[0108] "City-wide infrastructure data" refers to a collection of information about all infrastructure within a city, such as roads, sidewalks, public transportation, and barrier-free facilities.

[0109] To implement this invention, the user first operates a mobile device and inputs their starting point and destination into the system. Upon receiving this information, the system sends the data to a server. The server uses a Geographic Information System (GIS) to manage infrastructure data for the entire city and executes an algorithm to optimize routes with minimal slopes and elevation changes. Open-source PostGIS or Google® Maps API can be used.

[0110] Based on data received from the server, the device displays a real-time, optimized geographical travel route on a map for the user. Furthermore, by using Google Text-to-Speech for Android® and Apple's AVSpeechSynthesizer for iOS, voice guidance is provided, allowing users to understand route information without touching the screen.

[0111] For example, if a user wants to travel from a train station in the city center to a public park, the system will search for the flattest route and provide information about elevators and ramps along the way. Voice guidance will provide specific instructions such as, "Turn right at the intersection 200 meters ahead." It is also possible to use generative AI models to provide route information tailored to specific requests.

[0112] An example of a prompt would be, "Create a prompt for a wheelchair user in Tokyo to search for barrier-free routes from Shinagawa Station to a tourist attraction in Tokyo."

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The user operates the terminal and enters the departure and destination points. At this point, the entered data is basic location information. The terminal prepares to send this information to the server.

[0116] Step 2:

[0117] The server receives geographic information data transmitted from the terminal. Using this data, the server compares it with infrastructure information for the entire city from a database and begins calculating the optimal geographic travel route using a Geographic Information System (GIS). The input data is the origin and destination, and the output data is a set of candidate barrier-free routes.

[0118] Step 3:

[0119] The server uses received geographic information and urban infrastructure data to perform calculations to optimize routes with minimal slopes and elevation changes. This process considers the location of ramps and elevators and applies route adjustment algorithms. The output is the optimized route information to be presented to the user.

[0120] Step 4:

[0121] The server sends optimized route data to the terminal. The terminal receives this data and displays a visual map to the user. Simultaneously, it starts voice-guided route instructions using a speech synthesis engine. It receives optimal route information as input and provides a map display and voice guidance as output.

[0122] Step 5:

[0123] The user travels according to the suggested route. During travel, the device communicates with the server in real time and may recalculate the route as needed. This makes it possible to provide the user with the latest route information based on changes in traffic conditions and newly acquired infrastructure information. The output is the updated route guidance.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] This invention provides a system that enables a more personalized travel experience for users of wheelchairs or strollers by combining route guidance with an emotion engine. This system recognizes the user's emotional state in real time and uses that data to select routes and present information.

[0126] The user enters their departure and destination points using the device. This information triggers the activation of the device's built-in emotion engine. The emotion engine analyzes the user's facial expressions and voice through the camera and sensors to identify emotions in real time. This emotion data is sent to a server, which uses this information to select a route suitable for the user.

[0127] Specifically, the server receives emotional data and, if the user is feeling stressed, suggests routes with relaxing scenery or routes that avoid congestion. Furthermore, if the user indicates positive emotions, it can provide additional information or event details to enhance the travel experience.

[0128] The device uses information received from the server to display the route on a map and initiates voice guidance. By utilizing data from the emotion engine, the content of the voice guidance is flexibly adjusted according to the user's emotional state. For example, if the system recognizes that the user desires relaxation, it will provide guidance in a calm voice to create a sense of security.

[0129] Furthermore, advertising data is customized according to the user's emotions. If negative emotions are detected, ad exposure is reduced, while if positive emotions are detected, ads recommending relevant services and products are displayed. In this way, it becomes possible to provide information tailored to the user's state.

[0130] For example, if a user chooses a route that passes through a park after work, it is generally conceivable that the system would suggest a route that avoids crowds and allows for relaxation. If the emotion engine detects that the user's face shows signs of fatigue, it would use that information to guide the user to a quieter route or a route that allows them to enjoy nature, thereby reducing stress. In this way, the present invention provides the travel experience that the user desires.

[0131] The following describes the processing flow.

[0132] Step 1:

[0133] The user enters their departure and destination points into the terminal. This input confirms the basic information needed for travel, and the next process begins.

[0134] Step 2:

[0135] The device activates an emotion engine and captures the user's face and voice in real time through the camera and microphone. This collects data to identify the user's emotional state.

[0136] Step 3:

[0137] The emotion engine analyzes the captured data to identify the user's emotional state. The identified emotional data (e.g., stress, joy, indifference) is sent to the server.

[0138] Step 4:

[0139] The server receives user emotion data and uses it to calculate an appropriate route. For example, if the user is feeling stressed, an algorithm is executed to select a quiet route that promotes relaxation.

[0140] Step 5:

[0141] The server calculates route information and sends barrier-free facility information tailored to the user's emotional state to the terminal. If the user is in a positive mood, additional information and event information are also provided.

[0142] Step 6:

[0143] Based on information received from the server, the device displays the route on a map, and the voice assistant begins providing directions. The voice guidance is adjusted according to the user's emotional state.

[0144] Step 7:

[0145] (Optional) The device customizes and displays advertising data based on the user's emotions. If negative emotions are detected, ads will be less prominent; if positive emotions are detected, relevant services will be recommended.

[0146] Step 8:

[0147] The user follows the device's instructions and begins moving towards their destination. During the journey, the device continuously monitors the user's emotional state in real time, sending updates to the server as needed to optimize the directions.

[0148] (Example 2)

[0149] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0150] Providing optimal routes for wheelchair and stroller users, while avoiding steep inclines and steps, and adapting to their emotional state, presents a significant challenge. Furthermore, it is necessary to provide real-time, adaptive information and guidance tailored to the user's emotional state during their journey. A lack of such technology can potentially compromise the user experience.

[0151] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0152] In this invention, the server includes a processing unit that optimizes the route to avoid steep slopes and steps, a processing unit that adjusts the route based on the position information of the lifting device and ramp, and a processing unit that analyzes the user's emotional state using an emotion recognition engine. This enables the provision of appropriate route information and guidance according to the user's emotional state, resulting in a personalized travel experience.

[0153] "Vehicle assistive devices" are devices used to assist mobility for users who have difficulty walking, and include wheelchairs, strollers, and other similar items.

[0154] "Electronic devices" are devices that use electricity for calculation and information processing, such as computers and servers.

[0155] "Steep gradient" refers to a characteristic of terrain or roads where the difference in elevation is so great that it is difficult to traverse during normal travel.

[0156] A "step" refers to a visually or physically significant difference in height on the ground or road, which can be an obstacle to movement.

[0157] A "processing unit" refers to a hardware or software component used to perform specific calculations or information processing.

[0158] A "lifting device" is a device that assists in vertical movement, and includes elevators.

[0159] A "ramp" refers to a gently sloping pathway that connects areas with different ground levels.

[0160] An "emotion recognition engine" refers to technology or software that analyzes a person's facial expressions, voice, etc., to determine their emotional state.

[0161] "Emotional state" refers to the state of a person's current emotional situation or mood.

[0162] "Promotional data" refers to data that includes information used to widely publicize the existence of a product or service.

[0163] This invention aims to create a system that provides more comfortable and personalized route guidance to users of vehicle assistive devices. The system operates by combining a terminal as an electronic device with a server. The terminal is equipped with an emotion recognition engine that analyzes the user's facial expressions and voice in real time via cameras and sensors to identify their emotional state.

[0164] The terminal transmits the user's emotional data and destination information entered for travel to the server. The server uses a processing unit to select a route based on the emotional data. At this time, an algorithm is executed to avoid steep slopes and steps, and a safe and comfortable route is optimized, taking into account the location information of lifting devices and ramps.

[0165] Specifically, the server can deliver information tailored to the user's emotional state; for example, suggesting quiet routes with plenty of nature when the user is feeling stressed, and providing diverse event information when the user is feeling positive. Based on this information, the terminal displays map information and starts voice guidance. In addition, advertising data is adjusted according to the emotional state, enabling the provision of appropriate information.

[0166] For example, if a user selects a park as their destination and the emotion recognition engine detects a "fatigue" state, the server will then select a quiet route and provide voice guidance to the user in a calm voice. An example of a prompt message might be, "Please choose a park route after work. A relaxing route is preferred."

[0167] This system will improve the travel experience by providing users with vehicle assistance devices with route guidance and information tailored to their emotions.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] The user opens the application on their device and enters their departure and destination locations. This input triggers the next processing step. The input information consists of entering the current location and desired destination into a text form. The output is destination information for processing in the next step.

[0171] Step 2:

[0172] The device activates its emotion recognition engine based on the input information. The emotion recognition engine captures the user's facial expressions and voice through the device's built-in camera and microphone, and analyzes their emotional state. The input is real-time video and audio data, and the output is the user's emotional state (e.g., stressed, relaxed, positive).

[0173] Step 3:

[0174] The terminal combines the acquired destination information and emotional state into a data packet and sends it to the server. The input for this data transfer is the user's destination information and emotional data, and the output is the status of completion of transmission to the server.

[0175] Step 4:

[0176] The server uses the received data to select a route. Here, the optimal route, avoiding steep inclines and uneven terrain, is calculated based on emotional data. The input consists of emotional state and destination information received from the terminal, and the output is the selected route information. In this process, the server uses a geographic information system to extract necessary geographic data from various databases.

[0177] Step 5:

[0178] The server sends the selected route information to the terminal. This information includes the route on the map, estimated arrival time, and any notes along the way. The input is the selected route data, and the output is the status indicating that the data has been successfully sent to the terminal.

[0179] Step 6:

[0180] The terminal uses data received from the server to display route information to the user and initiate voice guidance. The voice guidance is adjusted according to the user's emotional state; for example, if the user is seeking relaxation, a calm tone of voice will be used. The input is route data received from the server, and the output is a map display and voice guidance.

[0181] (Application Example 2)

[0182] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0183] While there is a need to improve the comfort and convenience of users with wheelchairs or strollers during travel, current guidance systems do not provide personalized route guidance that takes into account the emotional state of individual users. This makes it difficult to create a travel experience that matches the user's current mood and emotions. Furthermore, the insufficient utilization of location information for elevators and ramps prevents the selection of appropriate barrier-free routes, which is another challenge.

[0184] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0185] In this invention, the server includes means for recognizing the user's emotional state and personalizing route guidance accordingly, means for optimizing the route to avoid steep slopes and steps, and means for adjusting the route based on the position information of elevators and ramps. This enables users to receive route guidance that responds to their current emotions and physical needs, resulting in a more comfortable and safer journey.

[0186] An "information processing device" is a computer system designed to process complex data quickly and efficiently, particularly for tasks such as optimizing travel routes and analyzing emotional data.

[0187] "Steep slopes and steps" refers to terrain conditions along a travel route that may hinder the safety and comfort of wheelchair and stroller users.

[0188] "Elevators and ramps" are facilities installed in building structures and facility passageways that take barrier-free design into consideration, particularly with the aim of reducing physical barriers.

[0189] "Recognizing emotional state" refers to a technical method of determining a user's psychological state at a given time based on information obtained from their facial expressions and voice.

[0190] "Personalizing route guidance" refers to a method of customizing and providing the optimal travel route and necessary information according to the individual user's situation and preferences.

[0191] "Acquiring and providing information according to the time of day" means acquiring the latest information based on a specific time period or moment and presenting it to the user as appropriate data.

[0192] "Changing the content of information presentation based on emotional state" refers to a technology that utilizes the user's current emotional feedback to alter the way information is presented and its content.

[0193] This invention presents an embodiment of a system that allows users, primarily those using wheelchairs or strollers, to receive optimal route guidance tailored to their individual emotional state. The system includes an information processing device, emotion recognition technology, a route optimization algorithm, and information presentation modification means.

[0194] The user enters their departure and destination points using a smartphone or smart glasses. The emotion recognition engine built into the device analyzes the user's facial expressions and voice in real time via the camera and microphone to recognize their emotional state. The obtained emotion data is sent to a cloud server. The server uses a program implemented in Python to perform facial expression analysis using the OpenCV library and voice analysis using the librosa library.

[0195] The server utilizes map databases and real-time sensor information to calculate optimized routes that take into account information about steep slopes and uneven terrain. It also suggests routes with relaxing scenery or those that avoid congestion based on the user's emotional state, and sends the results to the terminal. The terminal uses the received data to display the route visually on a map and provides voice guidance to the user.

[0196] Based on emotional data, the server can adjust route guidance to reflect the user's emotional state and, if necessary, provide advertisements and event information tailored to that state. For example, if a working professional wants to relax after work, the server could suggest a calm and quiet route and provide information on nearby leisure facilities.

[0197] An example of a prompt message is, "Suggest the optimal relaxation route based on the user's current situation and desired emotions. The user is in a smart city." This allows for the individual optimization of the user's experience.

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The user enters their departure and destination using a smartphone or smart glasses. The entered data acts as a trigger for the emotion recognition engine within the device.

[0201] Step 2:

[0202] The device acquires the user's facial expressions and voice through its camera and microphone. Using the acquired data as input, the emotion recognition engine analyzes facial expressions using the OpenCV library and voice using the librosa library. Through this analysis, the user's emotional state is identified, and data is generated accordingly.

[0203] Step 3:

[0204] The device sends emotion data to the server. Using this transmitted data as input, the server activates a route optimization algorithm. The server utilizes a map database and real-time sensor information to calculate the optimal route that avoids steep slopes and uneven terrain.

[0205] Step 4:

[0206] The server personalizes the route based on the user's emotional state. For example, if the user is feeling stressed, it selects a relaxing route, and if positive emotions are detected, it adds event information. The route information obtained through this process is sent to the terminal as output.

[0207] Step 5:

[0208] The device displays the route using a map application based on route information received from the server. It then starts voice guidance, adjusting its tone and content according to the analyzed emotional state.

[0209] Step 6:

[0210] The device also displays advertisements and event information. It customizes ad content based on sentiment data and provides users with relevant information as needed.

[0211] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0212] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0213] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0214] [Second Embodiment]

[0215] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0216] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0217] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0218] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0219] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0220] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0221] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0222] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0223] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0224] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0225] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0226] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0227] This invention provides a navigation system that supports safe and comfortable travel for users of wheelchairs and strollers. To provide the optimal route, the system is configured as follows:

[0228] The user first enters their departure and destination points using a terminal. This information is transmitted to the server in real time via the terminal. The server uses this information to retrieve geographical data from a database and then identifies a route with minimal steep inclines and uneven terrain.

[0229] The server executes an algorithm to calculate a route that includes barrier-free facilities such as elevators and ramps, and sends the result back to the terminal. At the same time, the server also acquires information on barrier-free facilities around the destination and sends useful information to the user in real time to the terminal.

[0230] The terminal displays information retrieved from the server on a map and provides voice guidance to the user. The voice guidance is designed for users to receive hands-free navigation. Specifically, it provides instructions such as "Turn right in 500 meters" via voice. This feature allows users to obtain information through means other than sight while on the move.

[0231] The device also offers a premium service, which removes ads and provides detailed facility reviews. This allows users to obtain more reliable information.

[0232] For example, if a user is traveling from a certain point in Tokyo to a park, selecting a route with fewer steep inclines makes it easier to travel using a wheelchair or stroller. Furthermore, the system can obtain information on public barrier-free facilities during the journey, allowing users to utilize public restrooms and parking lots as needed.

[0233] Thus, the present invention aims to provide wheelchair and stroller users with a more comfortable and safer mobility experience.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user enters their departure and destination points into the device. This gathers the initial information necessary to begin the journey.

[0237] Step 2:

[0238] The device receives user input and sends a route search request to the server. The data sent includes specific location information.

[0239] Step 3:

[0240] Based on the request received by the server, it retrieves relevant geographical information and accessibility facility information from the database. This information is essential for route calculation.

[0241] Step 4:

[0242] Based on geographical information acquired by the server, the system calculates the optimal route to avoid steep slopes and uneven terrain. This calculation uses an algorithm, prioritizing routes that include elevators or ramps.

[0243] Step 5:

[0244] The server compiles route information and information on barrier-free facilities around the destination and sends it to the terminal. This information is necessary for the user to access the destination.

[0245] Step 6:

[0246] The device visually displays route information received from the server on a map. The voice assistant also begins providing guidance, such as "Turn right at the next intersection."

[0247] Step 7:

[0248] The user follows voice guidance to move towards their destination. During this time, the device continuously monitors the route in real time and updates the guidance as needed.

[0249] Step 8:

[0250] (When using the premium service) The device will hide ads and provide more detailed facility information and user reviews. This allows users to access convenient information while on the go.

[0251] (Example 1)

[0252] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0253] For people using mobility aids, conventional route guidance systems sometimes select routes with steep inclines or many steps, which can make travel difficult. Furthermore, a lack of information on barrier-free facilities around destinations can further restrict users' mobility. Additionally, conventional systems suffer from low accuracy in voice guidance and a lack of detailed facility information for users.

[0254] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0255] In this invention, the server includes a calculation means for acquiring geographic information from a data management device and optimizing routes to avoid steep slopes and steps, a means for adjusting routes based on location information of barrier-free facilities, and a means for acquiring facility information around the destination in real time and providing it to the user. As a result, the user can select the optimal route with fewer steep slopes and steps and acquire barrier-free facility information in real time. In addition, by receiving highly accurate guidance through a voice generation device, safer and more comfortable travel is realized.

[0256] "Mobility assistance devices" refer to devices that provide physical assistance during movement, such as wheelchairs and strollers.

[0257] "Information processing equipment" is a general term for electronic devices that perform calculations and data management, especially servers and terminals.

[0258] "Geographic information" refers to information that includes physical spatial data such as land shape and road networks.

[0259] A "data management device" is a system used to store, manage, and provide large amounts of data, particularly as a database.

[0260] "A computational means for optimizing a route" refers to an algorithm or program that calculates the most efficient route under specific conditions.

[0261] "Barrier-free facilities" refer to physical facilities designed to be easily accessible to all people, such as elevators and ramps.

[0262] An "acoustic command device" refers to a device or system that communicates instructions to the user through voice.

[0263] "Public relations information" refers to information such as advertisements intended to promote products or services.

[0264] "Selection method" refers to the means or interface for switching between options and functions according to the user's preferences.

[0265] This invention is a navigation system using an information processing device that enables users, primarily those using mobility assistance devices, to travel safely and comfortably to their destination. The system is configured as follows:

[0266] The user first enters their departure and destination points using a terminal. This information is then transmitted to the information processing unit. A commercially available smartphone or a dedicated device can be used as the terminal. The entered geographical information is sent to the server via the terminal.

[0267] The server retrieves geographic information from a data management device based on the information it receives. This information is accessed from map databases and publicly available geographic information APIs. After retrieving the data, the server executes an optimization algorithm to avoid steep slopes and uneven terrain. This optimization algorithm uses search algorithms such as Dijkstra's algorithm and A.

[0268] Next, the server acquires additional location information for barrier-free facilities and further adjusts the route. This location information includes data on elevators, ramps, etc., which can be obtained from public databases or developer APIs.

[0269] The acquired route information and facility data are sent back to the terminal in real time. Based on this information, the terminal performs visual navigation using a map application and provides voice guidance using an acoustic command device. This voice guidance uses natural-sounding speech generated by an AI model, making it possible to provide easy-to-understand instructions to the user.

[0270] As a concrete example, let's consider a scenario where a user travels from a starting point in a busy downtown area to a destination in a park. This system selects a route with minimal steep inclines and provides information on accessible restrooms and parking lots along the way, allowing the user to travel with peace of mind.

[0271] Another example of a prompt message could be: "Please tell me the optimal route for a wheelchair user to travel safely from their starting point to their destination. Please also provide information on barrier-free facilities."

[0272] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0273] Step 1:

[0274] The user enters their departure and destination locations using their device. This information is entered via touchscreen or voice input, and the user presses a "Submit" button to send the entered information to the server. The entered geographical information is formatted as JSON data and sent to the server via an HTTP request.

[0275] Step 2:

[0276] The server analyzes the origin and destination information received from the user. Based on the analyzed data, it retrieves geographic information from the data management device. This retrieval is done using queries from map databases and API services. The retrieved geographic information is simply map data in its raw form, and is then optimized in the next step.

[0277] Step 3:

[0278] The server calculates a route that avoids steep slopes and steps based on the acquired geographical information. It uses pathfinding algorithms such as Dijkstra's algorithm and the A algorithm to identify the shortest path between points. In this process, it also takes slope and step data into consideration to generate the most barrier-free route. The calculation results are stored in memory as intermediate data.

[0279] Step 4:

[0280] The server acquires additional location information for barrier-free facilities and adjusts the route. It retrieves elevator and ramp data from relevant APIs and integrates it with the existing route data. This integration process fine-tunes the existing route, generating a more optimized route. The results are compiled into a complete, integrated route data.

[0281] Step 5:

[0282] The server sends the final route information and facility data to the terminal. The data formatted in JSON is returned to the terminal as an HTTP response. At this time, confirmation of communication success and error handling are performed in parallel.

[0283] Step 6:

[0284] The terminal displays the route information received from the server and provides voice guidance. The route is visualized using a map application, and the user is provided with voice guidance using an acoustic command device. For example, a command such as "Please turn right at the next intersection" is conveyed in AI-generated voice. The user can receive navigation to the destination not only visually but also aurally.

[0285] (Application Example 1)

[0286] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0287] In a modern urban environment, people using wheelchairs or strollers have difficulty finding a safe and comfortable route to move. In particular, it is not easy to select a barrier-free route while avoiding steep slopes and steps. To solve this problem, route guidance based on updated infrastructure information for the entire city is required.

[0288] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0289] In this invention, the server includes a calculation means for optimizing a route to avoid slopes and steps, a means for adjusting the route based on the position information of elevators and ramps, a means for acquiring and providing in real time the infrastructure information around the destination, and a means for selecting a travel route using the infrastructure data of the entire city. Thereby, it becomes possible for wheelchair and stroller users to easily find a safe and barrier-free route.

[0290] A "geographic travel route" is the path a user should follow when traveling from one point to their destination, and it includes geographical location information.

[0291] A "system" refers to electrical devices or assemblies used to process and provide digital data, such as computers and servers.

[0292] "A computational means for optimizing routes to avoid slopes and steps" refers to an algorithm or its execution mechanism for calculating the flattest and most user-friendly route while avoiding road gradients and steps.

[0293] "Location information for lifting devices and ramps" refers to data regarding the location of barrier-free facilities such as elevators and ramps.

[0294] "Means for acquiring and providing infrastructure information in real time" refers to technologies and systems for instantly collecting and providing environmental information related to users' movement, such as public facilities and traffic conditions.

[0295] "City-wide infrastructure data" refers to a collection of information about all infrastructure within a city, such as roads, sidewalks, public transportation, and barrier-free facilities.

[0296] To implement this invention, the user first operates a mobile device and inputs their starting point and destination into the system. Upon receiving this information, the system sends the data to a server. The server manages infrastructure data for the entire city using a Geographic Information System (GIS) and executes an algorithm to optimize routes with minimal slopes and elevation changes. Open-source PostGIS or the Google Maps API can be used.

[0297] Based on data received from the server, the device displays a real-time, optimized geographical travel route on a map for the user. Furthermore, by using Google Text-to-Speech for Android and Apple's AVSpeechSynthesizer for iOS, voice guidance is provided, allowing users to understand route information without touching the screen.

[0298] For example, if a user wants to travel from a train station in the city center to a public park, the system will search for the flattest route and provide information about elevators and ramps along the way. Voice guidance will provide specific instructions such as, "Turn right at the intersection 200 meters ahead." It is also possible to use generative AI models to provide route information tailored to specific requests.

[0299] An example of a prompt would be, "Create a prompt for a wheelchair user in Tokyo to search for barrier-free routes from Shinagawa Station to a tourist attraction in Tokyo."

[0300] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0301] Step 1:

[0302] The user operates the terminal and enters the departure and destination points. At this point, the entered data is basic location information. The terminal prepares to send this information to the server.

[0303] Step 2:

[0304] The server receives geographic information data transmitted from the terminal. Using this data, the server compares it with infrastructure information for the entire city from a database and begins calculating the optimal geographic travel route using a Geographic Information System (GIS). The input data is the origin and destination, and the output data is a set of candidate barrier-free routes.

[0305] Step 3:

[0306] Based on the received geographical information and urban infrastructure data, the server performs calculations to optimize a route with fewer slopes and steps. In this process, the position information of inclined roads and elevating devices is considered, and an algorithm for route adjustment is applied. The output is the optimized route information to be shown to the user.

[0307] Step 4:

[0308] The server sends the optimized route data to the terminal. The terminal receives this data and provides a visual map display to the user. At the same time, using a voice synthesis engine, it starts providing voice-guided route instructions. It receives the optimal route information as input and provides map display and voice guidance as output.

[0309] Step 5:

[0310] The user moves according to the proposed route. During the movement, the terminal communicates with the server in real time and may recalculate the route as necessary. This enables providing the user with the latest route information based on changes in traffic conditions and newly acquired infrastructure information. The output is the updated route guidance.

[0311] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion.

[0312] The present invention is a system that realizes a more personalized moving experience for users using a wheelchair or a stroller by combining an emotion engine when providing route guidance. This system recognizes the user's emotional state in real time and selects a route and presents information based on that data.

[0313] The user enters their departure and destination points using the device. This information triggers the activation of the device's built-in emotion engine. The emotion engine analyzes the user's facial expressions and voice through the camera and sensors to identify emotions in real time. This emotion data is sent to a server, which uses this information to select a route suitable for the user.

[0314] Specifically, the server receives emotional data and, if the user is feeling stressed, suggests routes with relaxing scenery or routes that avoid congestion. Furthermore, if the user indicates positive emotions, it can provide additional information or event details to enhance the travel experience.

[0315] The device uses information received from the server to display the route on a map and initiates voice guidance. By utilizing data from the emotion engine, the content of the voice guidance is flexibly adjusted according to the user's emotional state. For example, if the system recognizes that the user desires relaxation, it will provide guidance in a calm voice to create a sense of security.

[0316] Furthermore, advertising data is customized according to the user's emotions. If negative emotions are detected, ad exposure is reduced, while if positive emotions are detected, ads recommending relevant services and products are displayed. In this way, it becomes possible to provide information tailored to the user's state.

[0317] For example, if a user chooses a route that passes through a park after work, it is generally conceivable that the system would suggest a route that avoids crowds and allows for relaxation. If the emotion engine detects that the user's face shows signs of fatigue, it would use that information to guide the user to a quieter route or a route that allows them to enjoy nature, thereby reducing stress. In this way, the present invention provides the travel experience that the user desires.

[0318] The following describes the processing flow.

[0319] Step 1:

[0320] The user enters their departure and destination points into the terminal. This input confirms the basic information needed for travel, and the next process begins.

[0321] Step 2:

[0322] The device activates an emotion engine and captures the user's face and voice in real time through the camera and microphone. This collects data to identify the user's emotional state.

[0323] Step 3:

[0324] The emotion engine analyzes the captured data to identify the user's emotional state. The identified emotional data (e.g., stress, joy, indifference) is sent to the server.

[0325] Step 4:

[0326] The server receives user emotion data and uses it to calculate an appropriate route. For example, if the user is feeling stressed, an algorithm is executed to select a quiet route that promotes relaxation.

[0327] Step 5:

[0328] The server calculates route information and sends barrier-free facility information tailored to the user's emotional state to the terminal. If the user is in a positive mood, additional information and event information are also provided.

[0329] Step 6:

[0330] Based on information received from the server, the device displays the route on a map, and the voice assistant begins providing directions. The voice guidance is adjusted according to the user's emotional state.

[0331] Step 7:

[0332] (Optional) The device customizes and displays advertising data based on the user's emotions. If negative emotions are detected, ads will be less prominent; if positive emotions are detected, relevant services will be recommended.

[0333] Step 8:

[0334] The user follows the device's instructions and begins moving towards their destination. During the journey, the device continuously monitors the user's emotional state in real time, sending updates to the server as needed to optimize the directions.

[0335] (Example 2)

[0336] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0337] Providing optimal routes for wheelchair and stroller users, while avoiding steep inclines and steps, and adapting to their emotional state, presents a significant challenge. Furthermore, it is necessary to provide real-time, adaptive information and guidance tailored to the user's emotional state during their journey. A lack of such technology can potentially compromise the user experience.

[0338] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0339] In this invention, the server includes a processing unit that optimizes the route to avoid steep slopes and steps, a processing unit that adjusts the route based on the position information of the lifting device and ramp, and a processing unit that analyzes the user's emotional state using an emotion recognition engine. This enables the provision of appropriate route information and guidance according to the user's emotional state, resulting in a personalized travel experience.

[0340] "Vehicle assistive devices" are devices used to assist mobility for users who have difficulty walking, and include wheelchairs, strollers, and other similar items.

[0341] "Electronic devices" are devices that use electricity for calculation and information processing, such as computers and servers.

[0342] "Steep gradient" refers to a characteristic of terrain or roads where the difference in elevation is so great that it is difficult to traverse during normal travel.

[0343] A "step" refers to a visually or physically significant difference in height on the ground or road, which can be an obstacle to movement.

[0344] A "processing unit" refers to a hardware or software component used to perform specific calculations or information processing.

[0345] A "lifting device" is a device that assists in vertical movement, and includes elevators.

[0346] A "ramp" refers to a gently sloping pathway that connects areas with different ground levels.

[0347] An "emotion recognition engine" refers to technology or software that analyzes a person's facial expressions, voice, etc., to determine their emotional state.

[0348] "Emotional state" refers to the state of a person's current emotional situation or mood.

[0349] "Promotional data" refers to data that includes information used to widely publicize the existence of a product or service.

[0350] This invention aims to create a system that provides more comfortable and personalized route guidance to users of vehicle assistive devices. The system operates by combining a terminal as an electronic device with a server. The terminal is equipped with an emotion recognition engine that analyzes the user's facial expressions and voice in real time via cameras and sensors to identify their emotional state.

[0351] The terminal transmits the user's emotional data and destination information entered for travel to the server. The server uses a processing unit to select a route based on the emotional data. At this time, an algorithm is executed to avoid steep slopes and steps, and a safe and comfortable route is optimized, taking into account the location information of lifting devices and ramps.

[0352] Specifically, the server can deliver information tailored to the user's emotional state; for example, suggesting quiet routes with plenty of nature when the user is feeling stressed, and providing diverse event information when the user is feeling positive. Based on this information, the terminal displays map information and starts voice guidance. In addition, advertising data is adjusted according to the emotional state, enabling the provision of appropriate information.

[0353] For example, if a user selects a park as their destination and the emotion recognition engine detects a "fatigue" state, the server will then select a quiet route and provide voice guidance to the user in a calm voice. An example of a prompt message might be, "Please choose a park route after work. A relaxing route is preferred."

[0354] This system will improve the travel experience by providing users with vehicle assistance devices with route guidance and information tailored to their emotions.

[0355] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0356] Step 1:

[0357] The user opens the application on their device and enters their departure and destination locations. This input triggers the next processing step. The input information consists of entering the current location and desired destination into a text form. The output is destination information for processing in the next step.

[0358] Step 2:

[0359] The device activates its emotion recognition engine based on the input information. The emotion recognition engine captures the user's facial expressions and voice through the device's built-in camera and microphone, and analyzes their emotional state. The input is real-time video and audio data, and the output is the user's emotional state (e.g., stressed, relaxed, positive).

[0360] Step 3:

[0361] The terminal combines the acquired destination information and emotional state into a data packet and sends it to the server. The input for this data transfer is the user's destination information and emotional data, and the output is the status of completion of transmission to the server.

[0362] Step 4:

[0363] The server uses the received data to select a route. Here, the optimal route, avoiding steep inclines and uneven terrain, is calculated based on emotional data. The input consists of emotional state and destination information received from the terminal, and the output is the selected route information. In this process, the server uses a geographic information system to extract necessary geographic data from various databases.

[0364] Step 5:

[0365] The server sends the selected route information to the terminal. This information includes the route on the map, estimated arrival time, and any notes along the way. The input is the selected route data, and the output is the status indicating that the data has been successfully sent to the terminal.

[0366] Step 6:

[0367] The terminal uses data received from the server to display route information to the user and initiate voice guidance. The voice guidance is adjusted according to the user's emotional state; for example, if the user is seeking relaxation, a calm tone of voice will be used. The input is route data received from the server, and the output is a map display and voice guidance.

[0368] (Application Example 2)

[0369] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0370] While there is a need to improve the comfort and convenience of users with wheelchairs or strollers during travel, current guidance systems do not provide personalized route guidance that takes into account the emotional state of individual users. This makes it difficult to create a travel experience that matches the user's current mood and emotions. Furthermore, the insufficient utilization of location information for elevators and ramps prevents the selection of appropriate barrier-free routes, which is another challenge.

[0371] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0372] In this invention, the server includes means for recognizing the user's emotional state and personalizing route guidance accordingly, means for optimizing the route to avoid steep slopes and steps, and means for adjusting the route based on the position information of elevators and ramps. This enables users to receive route guidance that responds to their current emotions and physical needs, resulting in a more comfortable and safer journey.

[0373] An "information processing device" is a computer system designed to process complex data quickly and efficiently, particularly for tasks such as optimizing travel routes and analyzing emotional data.

[0374] "Steep slopes and steps" refers to terrain conditions along a travel route that may hinder the safety and comfort of wheelchair and stroller users.

[0375] "Elevators and ramps" are facilities installed in building structures and facility passageways that take barrier-free design into consideration, particularly with the aim of reducing physical barriers.

[0376] "Recognizing emotional state" refers to a technical method of determining a user's psychological state at a given time based on information obtained from their facial expressions and voice.

[0377] "Personalizing route guidance" refers to a method of customizing and providing the optimal travel route and necessary information according to the individual user's situation and preferences.

[0378] "Acquiring and providing information according to the time of day" means acquiring the latest information based on a specific time period or moment and presenting it to the user as appropriate data.

[0379] "Changing the content of information presentation based on emotional state" refers to a technology that utilizes the user's current emotional feedback to alter the way information is presented and its content.

[0380] This invention presents an embodiment of a system that allows users, primarily those using wheelchairs or strollers, to receive optimal route guidance tailored to their individual emotional state. The system includes an information processing device, emotion recognition technology, a route optimization algorithm, and information presentation modification means.

[0381] The user enters their departure and destination points using a smartphone or smart glasses. The emotion recognition engine built into the device analyzes the user's facial expressions and voice in real time via the camera and microphone to recognize their emotional state. The obtained emotion data is sent to a cloud server. The server uses a program implemented in Python to perform facial expression analysis using the OpenCV library and voice analysis using the librosa library.

[0382] The server utilizes map databases and real-time sensor information to calculate optimized routes that take into account information about steep slopes and uneven terrain. It also suggests routes with relaxing scenery or those that avoid congestion based on the user's emotional state, and sends the results to the terminal. The terminal uses the received data to display the route visually on a map and provides voice guidance to the user.

[0383] Based on emotional data, the server can adjust route guidance to reflect the user's emotional state and, if necessary, provide advertisements and event information tailored to that state. For example, if a working professional wants to relax after work, the server could suggest a calm and quiet route and provide information on nearby leisure facilities.

[0384] An example of a prompt message is, "Suggest the optimal relaxation route based on the user's current situation and desired emotions. The user is in a smart city." This allows for the individual optimization of the user's experience.

[0385] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0386] Step 1:

[0387] The user enters their departure and destination using a smartphone or smart glasses. The entered data acts as a trigger for the emotion recognition engine within the device.

[0388] Step 2:

[0389] The device acquires the user's facial expressions and voice through its camera and microphone. Using the acquired data as input, the emotion recognition engine analyzes facial expressions using the OpenCV library and voice using the librosa library. Through this analysis, the user's emotional state is identified, and data is generated accordingly.

[0390] Step 3:

[0391] The device sends emotion data to the server. Using this transmitted data as input, the server activates a route optimization algorithm. The server utilizes a map database and real-time sensor information to calculate the optimal route that avoids steep slopes and uneven terrain.

[0392] Step 4:

[0393] The server personalizes the route based on the user's emotional state. For example, if the user is feeling stressed, it selects a relaxing route, and if positive emotions are detected, it adds event information. The route information obtained through this process is sent to the terminal as output.

[0394] Step 5:

[0395] The device displays the route using a map application based on route information received from the server. It then starts voice guidance, adjusting its tone and content according to the analyzed emotional state.

[0396] Step 6:

[0397] The device also displays advertisements and event information. It customizes ad content based on sentiment data and provides users with relevant information as needed.

[0398] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0399] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0400] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0401] [Third Embodiment]

[0402] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0403] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0404] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0405] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0406] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0407] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0408] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0409] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0410] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0411] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0412] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0413] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0414] This invention provides a navigation system that supports safe and comfortable travel for users of wheelchairs and strollers. To provide the optimal route, the system is configured as follows:

[0415] The user first enters their departure and destination points using a terminal. This information is transmitted to the server in real time via the terminal. The server uses this information to retrieve geographical data from a database and then identifies a route with minimal steep inclines and uneven terrain.

[0416] The server executes an algorithm to calculate a route that includes barrier-free facilities such as elevators and ramps, and sends the result back to the terminal. At the same time, the server also acquires information on barrier-free facilities around the destination and sends useful information to the user in real time to the terminal.

[0417] The terminal displays information retrieved from the server on a map and provides voice guidance to the user. The voice guidance is designed for users to receive hands-free navigation. Specifically, it provides instructions such as "Turn right in 500 meters" via voice. This feature allows users to obtain information through means other than sight while on the move.

[0418] The device also offers a premium service, which removes ads and provides detailed facility reviews. This allows users to obtain more reliable information.

[0419] For example, if a user is traveling from a certain point in Tokyo to a park, selecting a route with fewer steep inclines makes it easier to travel using a wheelchair or stroller. Furthermore, the system can obtain information on public barrier-free facilities during the journey, allowing users to utilize public restrooms and parking lots as needed.

[0420] Thus, the present invention aims to provide wheelchair and stroller users with a more comfortable and safer mobility experience.

[0421] The following describes the processing flow.

[0422] Step 1:

[0423] The user enters their departure and destination points into the device. This gathers the initial information necessary to begin the journey.

[0424] Step 2:

[0425] The device receives user input and sends a route search request to the server. The data sent includes specific location information.

[0426] Step 3:

[0427] Based on the request received by the server, it retrieves relevant geographical information and accessibility facility information from the database. This information is essential for route calculation.

[0428] Step 4:

[0429] Based on geographical information acquired by the server, the system calculates the optimal route to avoid steep slopes and uneven terrain. This calculation uses an algorithm, prioritizing routes that include elevators or ramps.

[0430] Step 5:

[0431] The server compiles route information and information on barrier-free facilities around the destination and sends it to the terminal. This information is necessary for the user to access the destination.

[0432] Step 6:

[0433] The device visually displays route information received from the server on a map. The voice assistant also begins providing guidance, such as "Turn right at the next intersection."

[0434] Step 7:

[0435] The user follows voice guidance to move towards their destination. During this time, the device continuously monitors the route in real time and updates the guidance as needed.

[0436] Step 8:

[0437] (When using the premium service) The device will hide ads and provide more detailed facility information and user reviews. This allows users to access convenient information while on the go.

[0438] (Example 1)

[0439] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0440] For people using mobility aids, conventional route guidance systems sometimes select routes with steep inclines or many steps, which can make travel difficult. Furthermore, a lack of information on barrier-free facilities around destinations can further restrict users' mobility. Additionally, conventional systems suffer from low accuracy in voice guidance and a lack of detailed facility information for users.

[0441] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0442] In this invention, the server includes a calculation means for acquiring geographic information from a data management device and optimizing routes to avoid steep slopes and steps, a means for adjusting routes based on location information of barrier-free facilities, and a means for acquiring facility information around the destination in real time and providing it to the user. As a result, the user can select the optimal route with fewer steep slopes and steps and acquire barrier-free facility information in real time. In addition, by receiving highly accurate guidance through a voice generation device, safer and more comfortable travel is realized.

[0443] "Mobility assistance devices" refer to devices that provide physical assistance during movement, such as wheelchairs and strollers.

[0444] "Information processing equipment" is a general term for electronic devices that perform calculations and data management, especially servers and terminals.

[0445] "Geographic information" refers to information that includes physical spatial data such as land shape and road networks.

[0446] A "data management device" is a system used to store, manage, and provide large amounts of data, particularly as a database.

[0447] "A computational means for optimizing a route" refers to an algorithm or program that calculates the most efficient route under specific conditions.

[0448] "Barrier-free facilities" refer to physical facilities designed to be easily accessible to all people, such as elevators and ramps.

[0449] An "acoustic command device" refers to a device or system that communicates instructions to the user through voice.

[0450] "Public relations information" refers to information such as advertisements intended to promote products or services.

[0451] "Selection method" refers to the means or interface for switching between options and functions according to the user's preferences.

[0452] This invention is a navigation system using an information processing device that enables users, primarily those using mobility assistance devices, to travel safely and comfortably to their destination. The system is configured as follows:

[0453] The user first enters their departure and destination points using a terminal. This information is then transmitted to the information processing unit. A commercially available smartphone or a dedicated device can be used as the terminal. The entered geographical information is sent to the server via the terminal.

[0454] The server retrieves geographic information from a data management device based on the information it receives. This information is accessed from map databases and publicly available geographic information APIs. After retrieving the data, the server executes an optimization algorithm to avoid steep slopes and uneven terrain. This optimization algorithm uses search algorithms such as Dijkstra's algorithm and A.

[0455] Next, the server acquires additional location information for barrier-free facilities and further adjusts the route. This location information includes data on elevators, ramps, etc., which can be obtained from public databases or developer APIs.

[0456] The acquired route information and facility data are sent back to the terminal in real time. Based on this information, the terminal performs visual navigation using a map application and provides voice guidance using an acoustic command device. This voice guidance uses natural-sounding speech generated by an AI model, making it possible to provide easy-to-understand instructions to the user.

[0457] As a concrete example, let's consider a scenario where a user travels from a starting point in a busy downtown area to a destination in a park. This system selects a route with minimal steep inclines and provides information on accessible restrooms and parking lots along the way, allowing the user to travel with peace of mind.

[0458] Another example of a prompt message could be: "Please tell me the optimal route for a wheelchair user to travel safely from their starting point to their destination. Please also provide information on barrier-free facilities."

[0459] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0460] Step 1:

[0461] The user enters their departure and destination locations using their device. This information is entered via touchscreen or voice input, and the user presses a "Submit" button to send the entered information to the server. The entered geographical information is formatted as JSON data and sent to the server via an HTTP request.

[0462] Step 2:

[0463] The server analyzes the origin and destination information received from the user. Based on the analyzed data, it retrieves geographic information from the data management device. This retrieval is done using queries from map databases and API services. The retrieved geographic information is simply map data in its raw form, and is then optimized in the next step.

[0464] Step 3:

[0465] The server calculates a route that avoids steep slopes and steps based on the acquired geographical information. It uses pathfinding algorithms such as Dijkstra's algorithm and the A algorithm to identify the shortest path between points. In this process, it also takes slope and step data into consideration to generate the most barrier-free route. The calculation results are stored in memory as intermediate data.

[0466] Step 4:

[0467] The server acquires additional location information for barrier-free facilities and adjusts the route. It retrieves elevator and ramp data from relevant APIs and integrates it with the existing route data. This integration process fine-tunes the existing route, generating a more optimized route. The results are compiled into a complete, integrated route data.

[0468] Step 5:

[0469] The server sends the final route information and facility data to the terminal. The data, formatted in JSON format, is returned to the terminal as an HTTP response. At this time, confirmation of successful communication and error handling are performed in parallel.

[0470] Step 6:

[0471] The terminal displays route information received from the server and provides voice guidance. It visualizes the route using a map application and provides voice guidance to the user using an acoustic command device. For example, it delivers instructions such as "Turn right at the next intersection" using AI-generated voice. Users can receive navigation to their destination not only visually but also audibly.

[0472] (Application Example 1)

[0473] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0474] In modern urban environments, people using wheelchairs or strollers often face difficulties finding safe and comfortable routes. In particular, avoiding steep inclines and steps, and selecting barrier-free routes, is not easy. To address this problem, route guidance based on updated infrastructure information across the entire city is needed.

[0475] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0476] In this invention, the server includes a calculation means for optimizing routes to avoid slopes and steps, a means for adjusting routes based on the position information of elevators and ramps, a means for acquiring and providing infrastructure information around the destination in real time, and a means for selecting a travel route using infrastructure data for the entire city. This makes it possible for wheelchair and stroller users to easily find safe and barrier-free routes.

[0477] A "geographic travel route" is the path a user should follow when traveling from one point to their destination, and it includes geographical location information.

[0478] A "system" refers to electrical devices or assemblies used to process and provide digital data, such as computers and servers.

[0479] "A computational means for optimizing routes to avoid slopes and steps" refers to an algorithm or its execution mechanism for calculating the flattest and most user-friendly route while avoiding road gradients and steps.

[0480] "Location information for lifting devices and ramps" refers to data regarding the location of barrier-free facilities such as elevators and ramps.

[0481] "Means for acquiring and providing infrastructure information in real time" refers to technologies and systems for instantly collecting and providing environmental information related to users' movement, such as public facilities and traffic conditions.

[0482] "City-wide infrastructure data" refers to a collection of information about all infrastructure within a city, such as roads, sidewalks, public transportation, and barrier-free facilities.

[0483] To implement this invention, the user first operates a mobile device and inputs their starting point and destination into the system. Upon receiving this information, the system sends the data to a server. The server manages infrastructure data for the entire city using a Geographic Information System (GIS) and executes an algorithm to optimize routes with minimal slopes and elevation changes. Open-source PostGIS or the Google Maps API can be used.

[0484] Based on data received from the server, the device displays a real-time, optimized geographical travel route on a map for the user. Furthermore, by using Google Text-to-Speech for Android and Apple's AVSpeechSynthesizer for iOS, voice guidance is provided, allowing users to understand route information without touching the screen.

[0485] For example, if a user wants to travel from a train station in the city center to a public park, the system will search for the flattest route and provide information about elevators and ramps along the way. Voice guidance will provide specific instructions such as, "Turn right at the intersection 200 meters ahead." It is also possible to use generative AI models to provide route information tailored to specific requests.

[0486] An example of a prompt would be, "Create a prompt for a wheelchair user in Tokyo to search for barrier-free routes from Shinagawa Station to a tourist attraction in Tokyo."

[0487] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0488] Step 1:

[0489] The user operates the terminal and enters the departure and destination points. At this point, the entered data is basic location information. The terminal prepares to send this information to the server.

[0490] Step 2:

[0491] The server receives geographic information data transmitted from the terminal. Using this data, the server compares it with infrastructure information for the entire city from a database and begins calculating the optimal geographic travel route using a Geographic Information System (GIS). The input data is the origin and destination, and the output data is a set of candidate barrier-free routes.

[0492] Step 3:

[0493] The server uses received geographic information and urban infrastructure data to perform calculations to optimize routes with minimal slopes and elevation changes. This process considers the location of ramps and elevators and applies route adjustment algorithms. The output is the optimized route information to be presented to the user.

[0494] Step 4:

[0495] The server sends optimized route data to the terminal. The terminal receives this data and displays a visual map to the user. Simultaneously, it starts voice-guided route instructions using a speech synthesis engine. It receives optimal route information as input and provides a map display and voice guidance as output.

[0496] Step 5:

[0497] The user travels according to the suggested route. During travel, the device communicates with the server in real time and may recalculate the route as needed. This makes it possible to provide the user with the latest route information based on changes in traffic conditions and newly acquired infrastructure information. The output is the updated route guidance.

[0498] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0499] This invention provides a system that enables a more personalized travel experience for users of wheelchairs or strollers by combining route guidance with an emotion engine. This system recognizes the user's emotional state in real time and uses that data to select routes and present information.

[0500] The user enters their departure and destination points using the device. This information triggers the activation of the device's built-in emotion engine. The emotion engine analyzes the user's facial expressions and voice through the camera and sensors to identify emotions in real time. This emotion data is sent to a server, which uses this information to select a route suitable for the user.

[0501] Specifically, the server receives emotional data and, if the user is feeling stressed, suggests routes with relaxing scenery or routes that avoid congestion. Furthermore, if the user indicates positive emotions, it can provide additional information or event details to enhance the travel experience.

[0502] The device uses information received from the server to display the route on a map and initiates voice guidance. By utilizing data from the emotion engine, the content of the voice guidance is flexibly adjusted according to the user's emotional state. For example, if the system recognizes that the user desires relaxation, it will provide guidance in a calm voice to create a sense of security.

[0503] Furthermore, advertising data is customized according to the user's emotions. If negative emotions are detected, ad exposure is reduced, while if positive emotions are detected, ads recommending relevant services and products are displayed. In this way, it becomes possible to provide information tailored to the user's state.

[0504] For example, if a user chooses a route that passes through a park after work, it is generally conceivable that the system would suggest a route that avoids crowds and allows for relaxation. If the emotion engine detects that the user's face shows signs of fatigue, it would use that information to guide the user to a quieter route or a route that allows them to enjoy nature, thereby reducing stress. In this way, the present invention provides the travel experience that the user desires.

[0505] The following describes the processing flow.

[0506] Step 1:

[0507] The user enters their departure and destination points into the terminal. This input confirms the basic information needed for travel, and the next process begins.

[0508] Step 2:

[0509] The device activates an emotion engine and captures the user's face and voice in real time through the camera and microphone. This collects data to identify the user's emotional state.

[0510] Step 3:

[0511] The emotion engine analyzes the captured data to identify the user's emotional state. The identified emotional data (e.g., stress, joy, indifference) is sent to the server.

[0512] Step 4:

[0513] The server receives user emotion data and uses it to calculate an appropriate route. For example, if the user is feeling stressed, an algorithm is executed to select a quiet route that promotes relaxation.

[0514] Step 5:

[0515] The server calculates route information and sends barrier-free facility information tailored to the user's emotional state to the terminal. If the user is in a positive mood, additional information and event information are also provided.

[0516] Step 6:

[0517] Based on information received from the server, the device displays the route on a map, and the voice assistant begins providing directions. The voice guidance is adjusted according to the user's emotional state.

[0518] Step 7:

[0519] (Optional) The device customizes and displays advertising data based on the user's emotions. If negative emotions are detected, ads will be less prominent; if positive emotions are detected, relevant services will be recommended.

[0520] Step 8:

[0521] The user follows the device's instructions and begins moving towards their destination. During the journey, the device continuously monitors the user's emotional state in real time, sending updates to the server as needed to optimize the directions.

[0522] (Example 2)

[0523] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0524] Providing optimal routes for wheelchair and stroller users, while avoiding steep inclines and steps, and adapting to their emotional state, presents a significant challenge. Furthermore, it is necessary to provide real-time, adaptive information and guidance tailored to the user's emotional state during their journey. A lack of such technology can potentially compromise the user experience.

[0525] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0526] In this invention, the server includes a processing unit that optimizes the route to avoid steep slopes and steps, a processing unit that adjusts the route based on the position information of the lifting device and ramp, and a processing unit that analyzes the user's emotional state using an emotion recognition engine. This enables the provision of appropriate route information and guidance according to the user's emotional state, resulting in a personalized travel experience.

[0527] "Vehicle assistive devices" are devices used to assist mobility for users who have difficulty walking, and include wheelchairs, strollers, and other similar items.

[0528] "Electronic devices" are devices that use electricity for calculation and information processing, such as computers and servers.

[0529] "Steep gradient" refers to a characteristic of terrain or roads where the difference in elevation is so great that it is difficult to traverse during normal travel.

[0530] A "step" refers to a visually or physically significant difference in height on the ground or road, which can be an obstacle to movement.

[0531] A "processing unit" refers to a hardware or software component used to perform specific calculations or information processing.

[0532] A "lifting device" is a device that assists in vertical movement, and includes elevators.

[0533] A "ramp" refers to a gently sloping pathway that connects areas with different ground levels.

[0534] An "emotion recognition engine" refers to technology or software that analyzes a person's facial expressions, voice, etc., to determine their emotional state.

[0535] "Emotional state" refers to the state of a person's current emotional situation or mood.

[0536] "Promotional data" refers to data that includes information used to widely publicize the existence of a product or service.

[0537] This invention aims to create a system that provides more comfortable and personalized route guidance to users of vehicle assistive devices. The system operates by combining a terminal as an electronic device with a server. The terminal is equipped with an emotion recognition engine that analyzes the user's facial expressions and voice in real time via cameras and sensors to identify their emotional state.

[0538] The terminal transmits the user's emotional data and destination information entered for travel to the server. The server uses a processing unit to select a route based on the emotional data. At this time, an algorithm is executed to avoid steep slopes and steps, and a safe and comfortable route is optimized, taking into account the location information of lifting devices and ramps.

[0539] Specifically, the server can deliver information tailored to the user's emotional state; for example, suggesting quiet routes with plenty of nature when the user is feeling stressed, and providing diverse event information when the user is feeling positive. Based on this information, the terminal displays map information and starts voice guidance. In addition, advertising data is adjusted according to the emotional state, enabling the provision of appropriate information.

[0540] For example, if a user selects a park as their destination and the emotion recognition engine detects a "fatigue" state, the server will then select a quiet route and provide voice guidance to the user in a calm voice. An example of a prompt message might be, "Please choose a park route after work. A relaxing route is preferred."

[0541] This system will improve the travel experience by providing users with vehicle assistance devices with route guidance and information tailored to their emotions.

[0542] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0543] Step 1:

[0544] The user opens the application on their device and enters their departure and destination locations. This input triggers the next processing step. The input information consists of entering the current location and desired destination into a text form. The output is destination information for processing in the next step.

[0545] Step 2:

[0546] The device activates its emotion recognition engine based on the input information. The emotion recognition engine captures the user's facial expressions and voice through the device's built-in camera and microphone, and analyzes their emotional state. The input is real-time video and audio data, and the output is the user's emotional state (e.g., stressed, relaxed, positive).

[0547] Step 3:

[0548] The terminal combines the acquired destination information and emotional state into a data packet and sends it to the server. The input for this data transfer is the user's destination information and emotional data, and the output is the status of completion of transmission to the server.

[0549] Step 4:

[0550] The server uses the received data to select a route. Here, the optimal route, avoiding steep inclines and uneven terrain, is calculated based on emotional data. The input consists of emotional state and destination information received from the terminal, and the output is the selected route information. In this process, the server uses a geographic information system to extract necessary geographic data from various databases.

[0551] Step 5:

[0552] The server sends the selected route information to the terminal. This information includes the route on the map, estimated arrival time, and any notes along the way. The input is the selected route data, and the output is the status indicating that the data has been successfully sent to the terminal.

[0553] Step 6:

[0554] The terminal uses data received from the server to display route information to the user and initiate voice guidance. The voice guidance is adjusted according to the user's emotional state; for example, if the user is seeking relaxation, a calm tone of voice will be used. The input is route data received from the server, and the output is a map display and voice guidance.

[0555] (Application Example 2)

[0556] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0557] While there is a need to improve the comfort and convenience of users with wheelchairs or strollers during travel, current guidance systems do not provide personalized route guidance that takes into account the emotional state of individual users. This makes it difficult to create a travel experience that matches the user's current mood and emotions. Furthermore, the insufficient utilization of location information for elevators and ramps prevents the selection of appropriate barrier-free routes, which is another challenge.

[0558] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0559] In this invention, the server includes means for recognizing the user's emotional state and personalizing route guidance accordingly, means for optimizing the route to avoid steep slopes and steps, and means for adjusting the route based on the position information of elevators and ramps. This enables users to receive route guidance that responds to their current emotions and physical needs, resulting in a more comfortable and safer journey.

[0560] An "information processing device" is a computer system designed to process complex data quickly and efficiently, particularly for tasks such as optimizing travel routes and analyzing emotional data.

[0561] "Steep slopes and steps" refers to terrain conditions along a travel route that may hinder the safety and comfort of wheelchair and stroller users.

[0562] "Elevators and ramps" are facilities installed in building structures and facility passageways that take barrier-free design into consideration, particularly with the aim of reducing physical barriers.

[0563] "Recognizing emotional state" refers to a technical method of determining a user's psychological state at a given time based on information obtained from their facial expressions and voice.

[0564] "Personalizing route guidance" refers to a method of customizing and providing the optimal travel route and necessary information according to the individual user's situation and preferences.

[0565] "Acquiring and providing information according to the time of day" means acquiring the latest information based on a specific time period or moment and presenting it to the user as appropriate data.

[0566] "Changing the content of information presentation based on emotional state" refers to a technology that utilizes the user's current emotional feedback to alter the way information is presented and its content.

[0567] This invention presents an embodiment of a system that allows users, primarily those using wheelchairs or strollers, to receive optimal route guidance tailored to their individual emotional state. The system includes an information processing device, emotion recognition technology, a route optimization algorithm, and information presentation modification means.

[0568] The user enters their departure and destination points using a smartphone or smart glasses. The emotion recognition engine built into the device analyzes the user's facial expressions and voice in real time via the camera and microphone to recognize their emotional state. The obtained emotion data is sent to a cloud server. The server uses a program implemented in Python to perform facial expression analysis using the OpenCV library and voice analysis using the librosa library.

[0569] The server utilizes map databases and real-time sensor information to calculate optimized routes that take into account information about steep slopes and uneven terrain. It also suggests routes with relaxing scenery or those that avoid congestion based on the user's emotional state, and sends the results to the terminal. The terminal uses the received data to display the route visually on a map and provides voice guidance to the user.

[0570] Based on emotional data, the server can adjust route guidance to reflect the user's emotional state and, if necessary, provide advertisements and event information tailored to that state. For example, if a working professional wants to relax after work, the server could suggest a calm and quiet route and provide information on nearby leisure facilities.

[0571] An example of a prompt message is, "Suggest the optimal relaxation route based on the user's current situation and desired emotions. The user is in a smart city." This allows for the individual optimization of the user's experience.

[0572] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0573] Step 1:

[0574] The user enters their departure and destination using a smartphone or smart glasses. The entered data acts as a trigger for the emotion recognition engine within the device.

[0575] Step 2:

[0576] The device acquires the user's facial expressions and voice through its camera and microphone. Using the acquired data as input, the emotion recognition engine analyzes facial expressions using the OpenCV library and voice using the librosa library. Through this analysis, the user's emotional state is identified, and data is generated accordingly.

[0577] Step 3:

[0578] The device sends emotion data to the server. Using this transmitted data as input, the server activates a route optimization algorithm. The server utilizes a map database and real-time sensor information to calculate the optimal route that avoids steep slopes and uneven terrain.

[0579] Step 4:

[0580] The server personalizes the route based on the user's emotional state. For example, if the user is feeling stressed, it selects a relaxing route, and if positive emotions are detected, it adds event information. The route information obtained through this process is sent to the terminal as output.

[0581] Step 5:

[0582] The device displays the route using a map application based on route information received from the server. It then starts voice guidance, adjusting its tone and content according to the analyzed emotional state.

[0583] Step 6:

[0584] The device also displays advertisements and event information. It customizes ad content based on sentiment data and provides users with relevant information as needed.

[0585] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0586] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0587] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0588] [Fourth Embodiment]

[0589] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0590] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0591] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0592] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0593] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0594] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0595] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0596] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0597] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0598] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0599] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0600] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0601] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0602] This invention provides a navigation system that supports safe and comfortable travel for users of wheelchairs and strollers. To provide the optimal route, the system is configured as follows:

[0603] The user first enters their departure and destination points using a terminal. This information is transmitted to the server in real time via the terminal. The server uses this information to retrieve geographical data from a database and then identifies a route with minimal steep inclines and uneven terrain.

[0604] The server executes an algorithm to calculate a route that includes barrier-free facilities such as elevators and ramps, and sends the result back to the terminal. At the same time, the server also acquires information on barrier-free facilities around the destination and sends useful information to the user in real time to the terminal.

[0605] The terminal displays information retrieved from the server on a map and provides voice guidance to the user. The voice guidance is designed for users to receive hands-free navigation. Specifically, it provides instructions such as "Turn right in 500 meters" via voice. This feature allows users to obtain information through means other than sight while on the move.

[0606] The device also offers a premium service, which removes ads and provides detailed facility reviews. This allows users to obtain more reliable information.

[0607] For example, if a user is traveling from a certain point in Tokyo to a park, selecting a route with fewer steep inclines makes it easier to travel using a wheelchair or stroller. Furthermore, the system can obtain information on public barrier-free facilities during the journey, allowing users to utilize public restrooms and parking lots as needed.

[0608] Thus, the present invention aims to provide wheelchair and stroller users with a more comfortable and safer mobility experience.

[0609] The following describes the processing flow.

[0610] Step 1:

[0611] The user enters their departure and destination points into the device. This gathers the initial information necessary to begin the journey.

[0612] Step 2:

[0613] The device receives user input and sends a route search request to the server. The data sent includes specific location information.

[0614] Step 3:

[0615] Based on the request received by the server, it retrieves relevant geographical information and accessibility facility information from the database. This information is essential for route calculation.

[0616] Step 4:

[0617] Based on geographical information acquired by the server, the system calculates the optimal route to avoid steep slopes and uneven terrain. This calculation uses an algorithm, prioritizing routes that include elevators or ramps.

[0618] Step 5:

[0619] The server compiles route information and information on barrier-free facilities around the destination and sends it to the terminal. This information is necessary for the user to access the destination.

[0620] Step 6:

[0621] The device visually displays route information received from the server on a map. The voice assistant also begins providing guidance, such as "Turn right at the next intersection."

[0622] Step 7:

[0623] The user follows voice guidance to move towards their destination. During this time, the device continuously monitors the route in real time and updates the guidance as needed.

[0624] Step 8:

[0625] (When using the premium service) The device will hide ads and provide more detailed facility information and user reviews. This allows users to access convenient information while on the go.

[0626] (Example 1)

[0627] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0628] For people using mobility aids, conventional route guidance systems sometimes select routes with steep inclines or many steps, which can make travel difficult. Furthermore, a lack of information on barrier-free facilities around destinations can further restrict users' mobility. Additionally, conventional systems suffer from low accuracy in voice guidance and a lack of detailed facility information for users.

[0629] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0630] In this invention, the server includes a calculation means for acquiring geographic information from a data management device and optimizing routes to avoid steep slopes and steps, a means for adjusting routes based on location information of barrier-free facilities, and a means for acquiring facility information around the destination in real time and providing it to the user. As a result, the user can select the optimal route with fewer steep slopes and steps and acquire barrier-free facility information in real time. In addition, by receiving highly accurate guidance through a voice generation device, safer and more comfortable travel is realized.

[0631] "Mobility assistance devices" refer to devices that provide physical assistance during movement, such as wheelchairs and strollers.

[0632] "Information processing equipment" is a general term for electronic devices that perform calculations and data management, especially servers and terminals.

[0633] "Geographic information" refers to information that includes physical spatial data such as land shape and road networks.

[0634] A "data management device" is a system used to store, manage, and provide large amounts of data, particularly as a database.

[0635] "A computational means for optimizing a route" refers to an algorithm or program that calculates the most efficient route under specific conditions.

[0636] "Barrier-free facilities" refer to physical facilities designed to be easily accessible to all people, such as elevators and ramps.

[0637] An "acoustic command device" refers to a device or system that communicates instructions to the user through voice.

[0638] "Public relations information" refers to information such as advertisements intended to promote products or services.

[0639] "Selection method" refers to the means or interface for switching between options and functions according to the user's preferences.

[0640] This invention is a navigation system using an information processing device that enables users, primarily those using mobility assistance devices, to travel safely and comfortably to their destination. The system is configured as follows:

[0641] The user first enters their departure and destination points using a terminal. This information is then transmitted to the information processing unit. A commercially available smartphone or a dedicated device can be used as the terminal. The entered geographical information is sent to the server via the terminal.

[0642] The server retrieves geographic information from a data management device based on the information it receives. This information is accessed from map databases and publicly available geographic information APIs. After retrieving the data, the server executes an optimization algorithm to avoid steep slopes and uneven terrain. This optimization algorithm uses search algorithms such as Dijkstra's algorithm and A.

[0643] Next, the server acquires additional location information for barrier-free facilities and further adjusts the route. This location information includes data on elevators, ramps, etc., which can be obtained from public databases or developer APIs.

[0644] The acquired route information and facility data are sent back to the terminal in real time. Based on this information, the terminal performs visual navigation using a map application and provides voice guidance using an acoustic command device. This voice guidance uses natural-sounding speech generated by an AI model, making it possible to provide easy-to-understand instructions to the user.

[0645] As a concrete example, let's consider a scenario where a user travels from a starting point in a busy downtown area to a destination in a park. This system selects a route with minimal steep inclines and provides information on accessible restrooms and parking lots along the way, allowing the user to travel with peace of mind.

[0646] Another example of a prompt message could be: "Please tell me the optimal route for a wheelchair user to travel safely from their starting point to their destination. Please also provide information on barrier-free facilities."

[0647] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0648] Step 1:

[0649] The user enters their departure and destination locations using their device. This information is entered via touchscreen or voice input, and the user presses a "Submit" button to send the entered information to the server. The entered geographical information is formatted as JSON data and sent to the server via an HTTP request.

[0650] Step 2:

[0651] The server analyzes the origin and destination information received from the user. Based on the analyzed data, it retrieves geographic information from the data management device. This retrieval is done using queries from map databases and API services. The retrieved geographic information is simply map data in its raw form, and is then optimized in the next step.

[0652] Step 3:

[0653] The server calculates a route that avoids steep slopes and steps based on the acquired geographical information. It uses pathfinding algorithms such as Dijkstra's algorithm and the A algorithm to identify the shortest path between points. In this process, it also takes slope and step data into consideration to generate the most barrier-free route. The calculation results are stored in memory as intermediate data.

[0654] Step 4:

[0655] The server acquires additional location information for barrier-free facilities and adjusts the route. It retrieves elevator and ramp data from relevant APIs and integrates it with the existing route data. This integration process fine-tunes the existing route, generating a more optimized route. The results are compiled into a complete, integrated route data.

[0656] Step 5:

[0657] The server sends the final route information and facility data to the terminal. The data, formatted in JSON format, is returned to the terminal as an HTTP response. At this time, confirmation of successful communication and error handling are performed in parallel.

[0658] Step 6:

[0659] The terminal displays route information received from the server and provides voice guidance. It visualizes the route using a map application and provides voice guidance to the user using an acoustic command device. For example, it delivers instructions such as "Turn right at the next intersection" using AI-generated voice. Users can receive navigation to their destination not only visually but also audibly.

[0660] (Application Example 1)

[0661] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0662] In modern urban environments, people using wheelchairs or strollers often face difficulties finding safe and comfortable routes. In particular, avoiding steep inclines and steps, and selecting barrier-free routes, is not easy. To address this problem, route guidance based on updated infrastructure information across the entire city is needed.

[0663] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0664] In this invention, the server includes a calculation means for optimizing routes to avoid slopes and steps, a means for adjusting routes based on the position information of elevators and ramps, a means for acquiring and providing infrastructure information around the destination in real time, and a means for selecting a travel route using infrastructure data for the entire city. This makes it possible for wheelchair and stroller users to easily find safe and barrier-free routes.

[0665] A "geographic travel route" is the path a user should follow when traveling from one point to their destination, and it includes geographical location information.

[0666] A "system" refers to electrical devices or assemblies used to process and provide digital data, such as computers and servers.

[0667] "A computational means for optimizing routes to avoid slopes and steps" refers to an algorithm or its execution mechanism for calculating the flattest and most user-friendly route while avoiding road gradients and steps.

[0668] "Location information for lifting devices and ramps" refers to data regarding the location of barrier-free facilities such as elevators and ramps.

[0669] "Means for acquiring and providing infrastructure information in real time" refers to technologies and systems for instantly collecting and providing environmental information related to users' movement, such as public facilities and traffic conditions.

[0670] "City-wide infrastructure data" refers to a collection of information about all infrastructure within a city, such as roads, sidewalks, public transportation, and barrier-free facilities.

[0671] To implement this invention, the user first operates a mobile device and inputs their starting point and destination into the system. Upon receiving this information, the system sends the data to a server. The server manages infrastructure data for the entire city using a Geographic Information System (GIS) and executes an algorithm to optimize routes with minimal slopes and elevation changes. Open-source PostGIS or the Google Maps API can be used.

[0672] Based on data received from the server, the device displays a real-time, optimized geographical travel route on a map for the user. Furthermore, by using Google Text-to-Speech for Android and Apple's AVSpeechSynthesizer for iOS, voice guidance is provided, allowing users to understand route information without touching the screen.

[0673] For example, if a user wants to travel from a train station in the city center to a public park, the system will search for the flattest route and provide information about elevators and ramps along the way. Voice guidance will provide specific instructions such as, "Turn right at the intersection 200 meters ahead." It is also possible to use generative AI models to provide route information tailored to specific requests.

[0674] An example of a prompt would be, "Create a prompt for a wheelchair user in Tokyo to search for barrier-free routes from Shinagawa Station to a tourist attraction in Tokyo."

[0675] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0676] Step 1:

[0677] The user operates the terminal and enters the departure and destination points. At this point, the entered data is basic location information. The terminal prepares to send this information to the server.

[0678] Step 2:

[0679] The server receives geographic information data transmitted from the terminal. Using this data, the server compares it with infrastructure information for the entire city from a database and begins calculating the optimal geographic travel route using a Geographic Information System (GIS). The input data is the origin and destination, and the output data is a set of candidate barrier-free routes.

[0680] Step 3:

[0681] The server uses received geographic information and urban infrastructure data to perform calculations to optimize routes with minimal slopes and elevation changes. This process considers the location of ramps and elevators and applies route adjustment algorithms. The output is the optimized route information to be presented to the user.

[0682] Step 4:

[0683] The server sends optimized route data to the terminal. The terminal receives this data and displays a visual map to the user. Simultaneously, it starts voice-guided route instructions using a speech synthesis engine. It receives optimal route information as input and provides a map display and voice guidance as output.

[0684] Step 5:

[0685] The user travels according to the suggested route. During travel, the device communicates with the server in real time and may recalculate the route as needed. This makes it possible to provide the user with the latest route information based on changes in traffic conditions and newly acquired infrastructure information. The output is the updated route guidance.

[0686] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0687] This invention provides a system that enables a more personalized travel experience for users of wheelchairs or strollers by combining route guidance with an emotion engine. This system recognizes the user's emotional state in real time and uses that data to select routes and present information.

[0688] The user enters their departure and destination points using the device. This information triggers the activation of the device's built-in emotion engine. The emotion engine analyzes the user's facial expressions and voice through the camera and sensors to identify emotions in real time. This emotion data is sent to a server, which uses this information to select a route suitable for the user.

[0689] Specifically, the server receives emotional data and, if the user is feeling stressed, suggests routes with relaxing scenery or routes that avoid congestion. Furthermore, if the user indicates positive emotions, it can provide additional information or event details to enhance the travel experience.

[0690] The device uses information received from the server to display the route on a map and initiates voice guidance. By utilizing data from the emotion engine, the content of the voice guidance is flexibly adjusted according to the user's emotional state. For example, if the system recognizes that the user desires relaxation, it will provide guidance in a calm voice to create a sense of security.

[0691] Furthermore, advertising data is customized according to the user's emotions. If negative emotions are detected, ad exposure is reduced, while if positive emotions are detected, ads recommending relevant services and products are displayed. In this way, it becomes possible to provide information tailored to the user's state.

[0692] For example, if a user chooses a route that passes through a park after work, it is generally conceivable that the system would suggest a route that avoids crowds and allows for relaxation. If the emotion engine detects that the user's face shows signs of fatigue, it would use that information to guide the user to a quieter route or a route that allows them to enjoy nature, thereby reducing stress. In this way, the present invention provides the travel experience that the user desires.

[0693] The following describes the processing flow.

[0694] Step 1:

[0695] The user enters their departure and destination points into the terminal. This input confirms the basic information needed for travel, and the next process begins.

[0696] Step 2:

[0697] The device activates an emotion engine and captures the user's face and voice in real time through the camera and microphone. This collects data to identify the user's emotional state.

[0698] Step 3:

[0699] The emotion engine analyzes the captured data to identify the user's emotional state. The identified emotional data (e.g., stress, joy, indifference) is sent to the server.

[0700] Step 4:

[0701] The server receives user emotion data and uses it to calculate an appropriate route. For example, if the user is feeling stressed, an algorithm is executed to select a quiet route that promotes relaxation.

[0702] Step 5:

[0703] The server calculates route information and sends barrier-free facility information tailored to the user's emotional state to the terminal. If the user is in a positive mood, additional information and event information are also provided.

[0704] Step 6:

[0705] Based on information received from the server, the device displays the route on a map, and the voice assistant begins providing directions. The voice guidance is adjusted according to the user's emotional state.

[0706] Step 7:

[0707] (Optional) The device customizes and displays advertising data based on the user's emotions. If negative emotions are detected, ads will be less prominent; if positive emotions are detected, relevant services will be recommended.

[0708] Step 8:

[0709] The user follows the device's instructions and begins moving towards their destination. During the journey, the device continuously monitors the user's emotional state in real time, sending updates to the server as needed to optimize the directions.

[0710] (Example 2)

[0711] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0712] Providing optimal routes for wheelchair and stroller users, while avoiding steep inclines and steps, and adapting to their emotional state, presents a significant challenge. Furthermore, it is necessary to provide real-time, adaptive information and guidance tailored to the user's emotional state during their journey. A lack of such technology can potentially compromise the user experience.

[0713] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0714] In this invention, the server includes a processing unit that optimizes the route to avoid steep slopes and steps, a processing unit that adjusts the route based on the position information of the lifting device and ramp, and a processing unit that analyzes the user's emotional state using an emotion recognition engine. This enables the provision of appropriate route information and guidance according to the user's emotional state, resulting in a personalized travel experience.

[0715] "Vehicle assistive devices" are devices used to assist mobility for users who have difficulty walking, and include wheelchairs, strollers, and other similar items.

[0716] "Electronic devices" are devices that use electricity for calculation and information processing, such as computers and servers.

[0717] "Steep gradient" refers to a characteristic of terrain or roads where the difference in elevation is so great that it is difficult to traverse during normal travel.

[0718] A "step" refers to a visually or physically significant difference in height on the ground or road, which can be an obstacle to movement.

[0719] A "processing unit" refers to a hardware or software component used to perform specific calculations or information processing.

[0720] A "lifting device" is a device that assists in vertical movement, and includes elevators.

[0721] A "ramp" refers to a gently sloping pathway that connects areas with different ground levels.

[0722] An "emotion recognition engine" refers to technology or software that analyzes a person's facial expressions, voice, etc., to determine their emotional state.

[0723] "Emotional state" refers to the state of a person's current emotional situation or mood.

[0724] "Promotional data" refers to data that includes information used to widely publicize the existence of a product or service.

[0725] This invention aims to create a system that provides more comfortable and personalized route guidance to users of vehicle assistive devices. The system operates by combining a terminal as an electronic device with a server. The terminal is equipped with an emotion recognition engine that analyzes the user's facial expressions and voice in real time via cameras and sensors to identify their emotional state.

[0726] The terminal transmits the user's emotional data and destination information entered for travel to the server. The server uses a processing unit to select a route based on the emotional data. At this time, an algorithm is executed to avoid steep slopes and steps, and a safe and comfortable route is optimized, taking into account the location information of lifting devices and ramps.

[0727] Specifically, the server can deliver information tailored to the user's emotional state; for example, suggesting quiet routes with plenty of nature when the user is feeling stressed, and providing diverse event information when the user is feeling positive. Based on this information, the terminal displays map information and starts voice guidance. In addition, advertising data is adjusted according to the emotional state, enabling the provision of appropriate information.

[0728] For example, if a user selects a park as their destination and the emotion recognition engine detects a "fatigue" state, the server will then select a quiet route and provide voice guidance to the user in a calm voice. An example of a prompt message might be, "Please choose a park route after work. A relaxing route is preferred."

[0729] This system will improve the travel experience by providing users with vehicle assistance devices with route guidance and information tailored to their emotions.

[0730] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0731] Step 1:

[0732] The user opens the application on their device and enters their departure and destination locations. This input triggers the next processing step. The input information consists of entering the current location and desired destination into a text form. The output is destination information for processing in the next step.

[0733] Step 2:

[0734] The device activates its emotion recognition engine based on the input information. The emotion recognition engine captures the user's facial expressions and voice through the device's built-in camera and microphone, and analyzes their emotional state. The input is real-time video and audio data, and the output is the user's emotional state (e.g., stressed, relaxed, positive).

[0735] Step 3:

[0736] The terminal combines the acquired destination information and emotional state into a data packet and sends it to the server. The input for this data transfer is the user's destination information and emotional data, and the output is the status of completion of transmission to the server.

[0737] Step 4:

[0738] The server uses the received data to select a route. Here, the optimal route, avoiding steep inclines and uneven terrain, is calculated based on emotional data. The input consists of emotional state and destination information received from the terminal, and the output is the selected route information. In this process, the server uses a geographic information system to extract necessary geographic data from various databases.

[0739] Step 5:

[0740] The server sends the selected route information to the terminal. This information includes the route on the map, estimated arrival time, and any notes along the way. The input is the selected route data, and the output is the status indicating that the data has been successfully sent to the terminal.

[0741] Step 6:

[0742] The terminal uses data received from the server to display route information to the user and initiate voice guidance. The voice guidance is adjusted according to the user's emotional state; for example, if the user is seeking relaxation, a calm tone of voice will be used. The input is route data received from the server, and the output is a map display and voice guidance.

[0743] (Application Example 2)

[0744] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0745] While there is a need to improve the comfort and convenience of users with wheelchairs or strollers during travel, current guidance systems do not provide personalized route guidance that takes into account the emotional state of individual users. This makes it difficult to create a travel experience that matches the user's current mood and emotions. Furthermore, the insufficient utilization of location information for elevators and ramps prevents the selection of appropriate barrier-free routes, which is another challenge.

[0746] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0747] In this invention, the server includes means for recognizing the user's emotional state and personalizing route guidance accordingly, means for optimizing the route to avoid steep slopes and steps, and means for adjusting the route based on the position information of elevators and ramps. This enables users to receive route guidance that responds to their current emotions and physical needs, resulting in a more comfortable and safer journey.

[0748] An "information processing device" is a computer system designed to process complex data quickly and efficiently, particularly for tasks such as optimizing travel routes and analyzing emotional data.

[0749] "Steep slopes and steps" refers to terrain conditions along a travel route that may hinder the safety and comfort of wheelchair and stroller users.

[0750] "Elevators and ramps" are facilities installed in building structures and facility passageways that take barrier-free design into consideration, particularly with the aim of reducing physical barriers.

[0751] "Recognizing emotional state" refers to a technical method of determining a user's psychological state at a given time based on information obtained from their facial expressions and voice.

[0752] "Personalizing route guidance" refers to a method of customizing and providing the optimal travel route and necessary information according to the individual user's situation and preferences.

[0753] "Acquiring and providing information according to the time of day" means acquiring the latest information based on a specific time period or moment and presenting it to the user as appropriate data.

[0754] "Changing the content of information presentation based on emotional state" refers to a technology that utilizes the user's current emotional feedback to alter the way information is presented and its content.

[0755] This invention presents an embodiment of a system that allows users, primarily those using wheelchairs or strollers, to receive optimal route guidance tailored to their individual emotional state. The system includes an information processing device, emotion recognition technology, a route optimization algorithm, and information presentation modification means.

[0756] The user enters their departure and destination points using a smartphone or smart glasses. The emotion recognition engine built into the device analyzes the user's facial expressions and voice in real time via the camera and microphone to recognize their emotional state. The obtained emotion data is sent to a cloud server. The server uses a program implemented in Python to perform facial expression analysis using the OpenCV library and voice analysis using the librosa library.

[0757] The server utilizes map databases and real-time sensor information to calculate optimized routes that take into account information about steep slopes and uneven terrain. It also suggests routes with relaxing scenery or those that avoid congestion based on the user's emotional state, and sends the results to the terminal. The terminal uses the received data to display the route visually on a map and provides voice guidance to the user.

[0758] Based on emotional data, the server can adjust route guidance to reflect the user's emotional state and, if necessary, provide advertisements and event information tailored to that state. For example, if a working professional wants to relax after work, the server could suggest a calm and quiet route and provide information on nearby leisure facilities.

[0759] An example of a prompt message is, "Suggest the optimal relaxation route based on the user's current situation and desired emotions. The user is in a smart city." This allows for the individual optimization of the user's experience.

[0760] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0761] Step 1:

[0762] The user enters their departure and destination using a smartphone or smart glasses. The entered data acts as a trigger for the emotion recognition engine within the device.

[0763] Step 2:

[0764] The device acquires the user's facial expressions and voice through its camera and microphone. Using the acquired data as input, the emotion recognition engine analyzes facial expressions using the OpenCV library and voice using the librosa library. Through this analysis, the user's emotional state is identified, and data is generated accordingly.

[0765] Step 3:

[0766] The device sends emotion data to the server. Using this transmitted data as input, the server activates a route optimization algorithm. The server utilizes a map database and real-time sensor information to calculate the optimal route that avoids steep slopes and uneven terrain.

[0767] Step 4:

[0768] The server personalizes the route based on the user's emotional state. For example, if the user is feeling stressed, it selects a relaxing route, and if positive emotions are detected, it adds event information. The route information obtained through this process is sent to the terminal as output.

[0769] Step 5:

[0770] The device displays the route using a map application based on route information received from the server. It then starts voice guidance, adjusting its tone and content according to the analyzed emotional state.

[0771] Step 6:

[0772] The device also displays advertisements and event information. It customizes ad content based on sentiment data and provides users with relevant information as needed.

[0773] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0774] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0775] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0776] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0777] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0778] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0779] The inside of the Emotion Map 400 represents what's in your mind, while the outside represents what you're doing. Therefore, the further you go out the 400-coordinate scale, the more visible your emotions become (the more they manifest in your actions).

[0780] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0781] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0782] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0783] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0784] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0785] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0786] 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.

[0787] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0788] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0789] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0790] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0791] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0792] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0793] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0794] The following is further disclosed regarding the embodiments described above.

[0795] (Claim 1)

[0796] A computer system for calculating geographical routes for users of wheelchairs or strollers,

[0797] A means for executing an algorithm that optimizes the route to avoid steep slopes and steps,

[0798] Means for adjusting the route based on the location information of elevators and ramps,

[0799] A means of obtaining and providing real-time information on facilities around the destination,

[0800] A system that includes this.

[0801] (Claim 2)

[0802] The system according to claim 1, further comprising means for providing route guidance to a user based on voice commands.

[0803] (Claim 3)

[0804] The system according to claim 1, further comprising means for displaying advertising data including information on the accessibility of a facility.

[0805] "Example 1"

[0806] (Claim 1)

[0807] An information processing device for calculating geographical routes for users of mobility assistance devices,

[0808] A calculation means that acquires geographic information from a data management device and optimizes the route to avoid steep slopes and uneven terrain,

[0809] A means of adjusting the route based on the location information of barrier-free facilities,

[0810] A means of obtaining and providing users with real-time information on facilities around the destination,

[0811] A means of acquiring departure and destination information using an external input device and transmitting it using a communication device,

[0812] A means for displaying acquired route information on a map display means and providing commands to the user using an acoustic command device,

[0813] A system that includes this.

[0814] (Claim 2)

[0815] The system according to claim 1, further comprising a voice generating device for providing route guidance to a user based on an acoustic command.

[0816] (Claim 3)

[0817] The system according to claim 1, further comprising an option to hide public relations information and provide detailed facility evaluation information.

[0818] "Application Example 1"

[0819] (Claim 1)

[0820] A system for calculating geographical travel routes for users,

[0821] A calculation means for optimizing a route to avoid slopes and steps,

[0822] Means for adjusting the route based on the position information of the lifting device and ramp,

[0823] A means of acquiring and providing real-time infrastructure information around the destination,

[0824] A method for selecting travel routes using infrastructure data for the entire city,

[0825] A system that includes this.

[0826] (Claim 2)

[0827] The system according to claim 1, further comprising means for providing route guidance to a user using an audio output device.

[0828] (Claim 3)

[0829] The system according to claim 1, further comprising data processing means for displaying barrier-free access information for urban facilities.

[0830] "Example 2 of combining an emotion engine"

[0831] (Claim 1)

[0832] An electronic device for calculating travel routes for users of vehicle assistive devices,

[0833] A processing device that optimizes the route to avoid steep slopes and steps,

[0834] A processing device that adjusts the route based on the position information of the lifting device and ramp,

[0835] A processing unit that analyzes the user's emotional state using an emotion recognition engine,

[0836] A processing unit that selects the optimal path based on emotional state,

[0837] A processing device that acquires and provides facility information around the destination,

[0838] A system that includes this.

[0839] (Claim 2)

[0840] The system according to claim 1, further comprising a processing device that provides route guidance to a user based on voice commands.

[0841] (Claim 3)

[0842] The system according to claim 1, further comprising a processing device that displays customized advertising data based on the emotional state of the user.

[0843] "Application example 2 when combining with an emotional engine"

[0844] (Claim 1)

[0845] An information processing device for calculating geographical routes for users using wheelchairs or strollers,

[0846] A process to optimize the route to avoid steep slopes and steps,

[0847] A process to adjust the route based on the position information of elevators and ramps,

[0848] A process that recognizes the user's emotional state and personalizes route guidance accordingly,

[0849] The process of acquiring and providing facility information around the destination according to the time,

[0850] A process that changes the content of information presented based on emotional state,

[0851] A system that includes this.

[0852] (Claim 2)

[0853] The system according to claim 1, further comprising processing to provide route guidance to a user based on voice input.

[0854] (Claim 3)

[0855] The system according to claim 1, further comprising a process for displaying sales promotion data including information on the accessibility of facilities. [Explanation of symbols]

[0856] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A system for calculating geographical travel routes for users, A calculation means for optimizing a route to avoid slopes and steps, Means for adjusting the route based on the position information of the lifting device and ramp, A means of acquiring and providing real-time infrastructure information around the destination, A method for selecting travel routes using infrastructure data for the entire city, A system that includes this.

2. The system according to claim 1, further comprising means for providing route guidance to a user using an audio output device.

3. The system according to claim 1, further comprising data processing means for displaying barrier-free access information for urban facilities.

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