system

Abstract

We provide the system. [Solution] A means for generating a travel route based on destination information and date / time information received from the user, A means for searching for a barrier-free route considering steps and gradients along the travel path, A means of collecting information on public transport and mobility services and providing the most suitable means of transportation, A means to automate public transport and store reservations based on travel plans, A means of dynamically recalculating the travel route in response to changes in weather conditions and notifying the user, A visualization method for optimizing travel plans in real time and displaying them on the user's device, A system that includes a means of providing assistance to customers upon arrival at their destination using their smart devices.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, the existence of barriers faced by diverse users when moving has become a problem. Especially for people using wheelchairs or strollers, steps and gradients are significant barriers, hindering comfortable movement. Also, in the use of public transportation, car-hailing services, and restaurants, individual procedures and reservations are complex, compromising convenience. Furthermore, the inability to quickly respond to changes in weather and traffic conditions is also an issue. There is a need to eliminate these barriers and provide a smooth and stress-free mobility experience.

Means for Solving the Problems

[0005] This invention provides a system that uses AI to generate barrier-free travel routes that take into account steps and gradients, based on destination and date / time information specified by the user. Furthermore, it includes means for collecting information on public transportation and ride-hailing services and automatically suggesting the optimal mode of transport. This centralizes the management of multiple procedures and reduces the burden on the user. It also has an automatic reservation function for transportation and stores based on the travel plan, dynamically recalculates the route according to changes in weather conditions and traffic conditions on the day, and notifies the user. In addition, by linking with an elevator management system and including control means for priority use, it realizes a comfortable travel environment for everyone.

[0006] "Users" refer to individuals or organizations that use this system to set destination information and travel plans.

[0007] "Destination information" refers to the information entered by the user to identify the geographical location they wish to reach.

[0008] "Date and time information" refers to the specific date and time the user plans to travel.

[0009] A "travel route" refers to the path that a user is expected to take to reach their destination.

[0010] A "step" refers to a difference in elevation over a relatively short area of ​​the ground surface.

[0011] "Gradient" refers to an indicator that shows the degree of slope in terrain or roads.

[0012] "Barrier-free" refers to a state in which there are no physical or informational barriers, or where they have been removed.

[0013] "Public transportation" refers to means of transport that are available to the general public and operate on a regular or irregular schedule.

[0014] A "ride-hailing service" refers to a service that arranges a vehicle according to the user's request and transports them to their destination.

[0015] The "automatic reservation function" refers to a function for the system to independently complete reservation processing.

[0016] The "weather conditions" refer to the weather situation in a specific geographical area.

[0017] The "traffic situation" refers to the traffic flow and congestion degree on roads and transportation networks.

[0018] The "elevator management system" refers to a system for controlling and adjusting the operation of elevators in a building.

[0019] "Preferential use" refers to a state where a specific user can enjoy a service earlier than other users.

Brief Description of Drawings

[0020] [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]Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 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 Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Mode for Carrying Out the Invention

[0021] 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.

[0022] First, the language used in the following description will be explained.

[0023] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of a plurality of types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0024] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0025] 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.

[0026] 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).

[0027] 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."

[0028] [First Embodiment]

[0029] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0030] 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.

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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".

[0041] This invention is a comprehensive mobility support system designed to provide users with an experience of free movement. Based on destination and date / time information specified by the user, this system generates barrier-free travel routes and optimizes public transportation and ride-hailing services. Furthermore, it automates the booking process required for travel and dynamically optimizes travel routes in response to changes in weather and traffic conditions.

[0042] System Configuration

[0043] The system mainly consists of servers, terminals, and users.

[0044] User:

[0045] Users input their desired date, time, and destination using a device such as a smartphone or computer. This allows them to communicate their travel needs to the system.

[0046] Terminal:

[0047] The terminal receives input information from the user and sends the data to the server. It also functions as an interface to display suggestions and notifications from the server to the user.

[0048] server:

[0049] The server functions as the central hub of the system, performing multiple tasks. First, it generates the optimal barrier-free travel route based on received destination and date / time information. Next, it gathers information on potential public transport and ride-hailing services and proposes them to users. Furthermore, it integrates with the elevator management system to ensure priority use. It monitors changes in weather and traffic conditions in real time, recalculates routes as needed, and notifies users via terminals.

[0050] Specific example

[0051] For example, if a user wishes to go to a shopping mall in a wheelchair, the user enters the departure date, time, and destination via a terminal. The server then selects a route via a station with elevators and creates an optimal bus or taxi plan. The system automatically arranges the ride-hailing service, and once the user approves the proposed plan, all reservations are completed. Furthermore, if unexpected bad weather occurs on the day of travel, the server immediately calculates an alternative route and notifies the user.

[0052] In this way, this system can provide a comfortable and barrier-free travel environment for a diverse range of users.

[0053] The following describes the processing flow.

[0054] Step 1:

[0055] The user enters their desired destination and date / time information via the device. The device then organizes this information and sends it to the server.

[0056] Step 2:

[0057] Based on the received destination and date / time information, the server consults a map database to generate a barrier-free travel route. This route prioritizes routes without steps or inclines.

[0058] Step 3:

[0059] The server collects data on available public transportation and ride-hailing services along the generated travel route. Based on this information, it lists and suggests the most suitable mode of transportation for the user.

[0060] Step 4:

[0061] The user selects their preferred mode of transportation from a list of suggested options displayed on the device. The selected information is then sent from the device to the server.

[0062] Step 5:

[0063] The server automatically contacts the necessary transportation providers and arranges ride-hailing services based on the selected mode of transport. This completely automates the user's travel planning.

[0064] Step 6:

[0065] When a reservation is needed for a restaurant or facility, the server searches for barrier-free facilities and automatically reserves a facility that meets the user's requirements.

[0066] Step 7:

[0067] On the day of travel, the server monitors weather conditions and traffic in real time and recalculates the optimal travel route accordingly. If there are any changes, the user is notified via their terminal.

[0068] Step 8:

[0069] If necessary, the server accesses the elevator management system and controls it to ensure that specific users have priority access to the elevators.

[0070] This series of processes allows users to travel with peace of mind in a barrier-free environment.

[0071] (Example 1)

[0072] 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."

[0073] In today's transportation environment, the problems faced by users with disabilities, in particular, are complex. For these users, ensuring barrier-free transportation is crucial, but conventional systems do not adequately support route selection, public transport and facility reservations, or automated route changes. As a result, mobility can be difficult, and users' participation in society may be limited.

[0074] 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.

[0075] In this invention, the server includes means for generating a travel route based on destination and date / time information received from the user, means for collecting information on public transport and providing the optimal means of transport, and means for dynamically recalculating the travel route in response to changes in weather conditions and traffic conditions and notifying the user. This efficiently supports barrier-free travel, enabling users to reach their destinations flexibly and smoothly.

[0076] "User" refers to an individual or their representative who uses the system to book travel routes or public transport.

[0077] "Destination information" refers to data about the destination that the user wishes to travel to.

[0078] "Date and time information" refers to information about the specific date and time you wish to travel.

[0079] A "travel route" refers to the passable path a user can take from their starting point to their destination.

[0080] "Steps and gradients" refer to the physical differences in elevation and slopes present in a travel path.

[0081] "Barrier-free" refers to environments and means of access designed to allow all people, including those with physical limitations, to move around safely and comfortably.

[0082] "Public transport" refers to a transportation system that provides means of travel that are available to the general public.

[0083] "Automated booking" refers to the process of automatically booking necessary transportation and facilities based on the user's travel plan.

[0084] "Weather conditions" refers to weather conditions that may affect travel.

[0085] "Traffic conditions" refers to information about the traffic environment at any given time, such as the degree of road congestion and factors that hinder traffic flow.

[0086] "Dynamic recalculation" refers to the process of re-evaluating and modifying pre-calculated paths based on real-time changing information.

[0087] "Suggested content" refers to the travel routes and transportation options that the server presents to the user.

[0088] A "travel plan" refers to a specific schedule of actions planned to help a user reach their destination.

[0089] "Vertical movement equipment" refers to mechanical equipment such as elevators and escalators used by users to move between different floor levels.

[0090] This invention is a comprehensive mobility support system designed to enable users to travel comfortably and efficiently. The system primarily consists of a server, terminals, and users, and generates barrier-free travel routes, particularly for people with physical limitations.

[0091] User actions

[0092] Users input their travel needs into the system using devices such as smartphones or computers. Specifically, they specify the date and time of their trip, their destination, and record any accessibility requirements. This information is entered through the interface of the user's device.

[0093] Terminal operation

[0094] The terminal is responsible for receiving input information from the user and sending it to the server. It also receives route suggestions and notifications from the server and displays them to the user. This interface requires a simple and highly visible design, taking user experience into consideration.

[0095] Server operation

[0096] The server plays a central role in the system. First, the server utilizes a generative AI model to generate the optimal barrier-free route based on user input data. For example, it uses algorithms such as "OptimalRouteGenerator" as an AI model to analyze public transport timetables and historical traffic data to determine the optimal route in real time. The server also monitors changes in weather and traffic conditions in real time, and by utilizing "WeatherMonitorAPI" and "TrafficDataAPI," it immediately recalculates the route when conditions change and notifies the user of the latest information.

[0097] For example, if a user wishes to travel to a commercial facility using a wheelchair, the user enters the destination and date / time into a terminal. Based on this information, the server generates the optimal travel route via stations equipped with elevator systems and automatically arranges the necessary transportation services. Once the user approves the proposed plan, all reservations are automatically completed. Even if the weather suddenly changes on the day of travel, the server quickly updates the route and notifies the user.

[0098] An example of a prompt message would be, "I would like to travel to a specific commercial facility in a wheelchair at the following date and time. Please suggest the optimal barrier-free route and necessary ride-hailing service." By giving instructions to the AI ​​model in this way, the system efficiently plans travel routes. This makes it possible to achieve flexible and smooth travel that meets the diverse needs of users.

[0099] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0100] Step 1:

[0101] The user enters their desired destination and date / time using a terminal. This input includes destination information, date / time information, and accessibility requirements. This information is collected through the terminal's interface to prepare for the next step.

[0102] Step 2:

[0103] The terminal sends the input information received from the user to the server. Here, the terminal appropriately formats the data and converts it into a form that the server can easily parse. The information sent includes the user's current location, destination, desired travel date and time, and any special travel requirements.

[0104] Step 3:

[0105] The server starts calculating travel routes using a generative AI model based on the received data. Specifically, it uses a model called "OptimalRouteGenerator" to create the optimal barrier-free route, taking into account public transport timetables, the presence or absence of barrier-free facilities, and historical travel data. The output is several candidate route options.

[0106] Step 4:

[0107] The server identifies the public transport or ride-hailing service that best suits the user's needs from the generated route options. It then analyzes cost, time, and accessibility requirements to recommend the optimal mode of transportation.

[0108] Step 5:

[0109] The server automatically makes ride-hailing service and necessary public transport reservations once the proposed travel plan is approved by the user. It accesses the API using prompts, generates reservation data, and sends it to transport companies and service providers as appropriate.

[0110] Step 6:

[0111] The server monitors weather and traffic conditions in real time until the scheduled travel date. It utilizes "WeatherMonitorAPI" and "TrafficDataAPI" as data sources and recalculates the route if conditions change. It notifies the user of the results and, if necessary, provides new travel suggestions.

[0112] Step 7:

[0113] The device receives the final notification from the server and displays the latest travel plan to the user. This allows the user to stay informed in real time about any changes and adjust their schedule accordingly.

[0114] This series of processes allows users to move smoothly and efficiently.

[0115] (Application Example 1)

[0116] 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."

[0117] Enabling the elderly and people with disabilities to have a comfortable and barrier-free mobility experience within urban areas is a challenging task. Conventional mobility assistance systems do not adequately consider steps and gradients, nor do they sufficiently optimize routes based on real-time weather conditions and traffic conditions. Furthermore, they lack visualization methods to present this information to users in an easily understandable way. As a result, users often feel anxious about their planned travel routes.

[0118] 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.

[0119] In this invention, the server includes means for generating travel routes, means for searching for barrier-free routes, means for providing the optimal means of transportation, means for visualizing travel plans, and means for providing guidance support using the user's terminal. This enables a barrier-free travel experience that allows diverse users to travel with peace of mind.

[0120] "Destination information" refers to geographical data about the place the user wants to go.

[0121] "Date and time information" refers to data about the date and time the user wishes to begin their journey.

[0122] A "travel route" is information that shows the path taken to reach a destination specified by the user.

[0123] "Barrier-free routes" refer to paths with few steps or slopes, making them easy to navigate with wheelchairs or strollers.

[0124] "Public transport" refers to transportation services that are generally available to the public, such as buses and trains.

[0125] "Mobility services" refer to services that provide means of transportation, such as automated ride-hailing services and taxis.

[0126] The "optimal mode of transportation" is the means that best suits the user's needs and allows them to reach their destination in the most efficient time and effort.

[0127] A "travel plan" is a schedule that includes detailed actions necessary to travel to a destination.

[0128] "Visualization methods" refer to methods of displaying data graphically and conveying information to users intuitively.

[0129] "Guidance and support methods" refer to methods of providing users with instructions and support information upon arrival at their destination.

[0130] The mobility support system in this invention begins with the user inputting destination and date / time information using a smart device. The user's input data is transmitted via the terminal to a server in the cloud. Based on this information, the server generates an optimal barrier-free travel route. The server calculates the route using a geographic information system such as Google® Maps API and collects data that takes into account steps and gradients.

[0131] The server also uses weather APIs and public transport APIs to monitor real-time weather conditions and traffic, and performs dynamic route optimization. The information obtained in this way is reflected in the user's travel plan, and the most optimized mode of transport is selected. The optimized travel plan is visualized in an easy-to-understand way for the user through their terminal, allowing the user to intuitively understand and operate it.

[0132] As a concrete example, when a user wants to travel from Tokyo Station to Asakusa via a barrier-free route, the user enters a prompt message from their smart device such as, "Generate a barrier-free route from Tokyo Station to Asakusa. The time is 9 AM on March 14th. Please optimize the route based on real-time weather and traffic conditions." Based on this prompt, the optimal route and schedule are immediately calculated and provided to the user. In this way, it is possible to support diverse users in planning and executing their travels with peace of mind.

[0133] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0134] Step 1:

[0135] Users input destination and date / time information via their smart devices. This information is received by the terminal and sent to the server as input data. Initially, the input data includes geographical location and time information.

[0136] Step 2:

[0137] The server generates a travel route using the Google Maps API based on the received destination and date / time information. The server performs data calculations to search for a barrier-free route, taking into account steps and gradients, and outputs the result.

[0138] Step 3:

[0139] The server accesses a public transport API to determine the available modes of transport in real time. It then converts the received transport data into the most suitable mode of transport and outputs it as additional information. This is the mode of transport selection step.

[0140] Step 4:

[0141] The server uses a weather API to obtain weather information for the scheduled travel date and time. Based on this information, the server evaluates the impact of weather conditions on the travel route and updates the route data as needed. The optimized travel route is generated as output.

[0142] Step 5:

[0143] Optimized route and transportation information is transmitted to the terminal and visualized in a user-friendly interface. The terminal organizes this data and displays it to the user in an intuitively operable format.

[0144] Step 6:

[0145] Finally, the user can review and select the provided route and mode of transport. Further customization is possible through prompts generated by an AI model. The user's selection is then fed back to the server.

[0146] 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.

[0147] This invention is a system for recognizing a user's emotional state and providing a comfortable travel experience accordingly. The system incorporates an emotion engine that recognizes the user's emotions, which are then reflected in the suggestion and selection of travel routes. Based on user input information, emotional state, and real-time external conditions, the system provides the optimal means of transportation and route, thereby achieving barrier-free and personalized travel.

[0148] System Configuration

[0149] User:

[0150] Users input destination information and travel date and time using their device. Additionally, the user's emotions are recognized via the device by an emotion engine.

[0151] Terminal:

[0152] The terminal's role is to transmit user input information to the server. It also incorporates an emotion engine that analyzes the user's emotions from their facial expressions and voice.

[0153] server:

[0154] The server generates the optimal travel route using map data and public transport information based on received destination information, date and time information, and sentiment data. Furthermore, it assists the user in selecting appropriate modes of transport and routes based on their sentiment data. If the user is feeling stressed, it prioritizes suggesting more relaxing seats and less crowded routes.

[0155] Specific example

[0156] For example, if a user is feeling stressed and wants to go to a shopping mall, the user provides emotional data along with input information via their device. The server analyzes the emotional data and suggests modes of transportation to reduce stress. For instance, it might suggest public transport that offers wider seating than usual, or select a less crowded route that allows for scenic views. Furthermore, the emotional engine continuously monitors the user's state during their journey, and if their stress levels rise, it again suggests newly calculated options.

[0157] In this way, the system can provide a comfortable and barrier-free travel experience optimized for each user based on a combination of information, thereby improving the overall travel experience.

[0158] The following describes the processing flow.

[0159] Step 1:

[0160] The user uses a terminal to input destination information and travel date and time. This information is organized by the terminal and sent to the server. The terminal also analyzes the user's facial expressions and voice using an emotion engine to generate emotion data.

[0161] Step 2:

[0162] The device sends the collected emotional data to the server. This allows the server to obtain the information necessary to evaluate the user's emotional state.

[0163] Step 3:

[0164] Based on the received destination information, date and time information, and sentiment data, the server accesses a map database to generate an optimal travel route that takes accessibility into consideration. In this process, it prioritizes selecting routes and means of transportation that allow the user to travel comfortably based on the sentiment data.

[0165] Step 4:

[0166] The server collects data on public transport and ride-hailing services along the generated route and suggests options that are appropriate to the user's mood. For example, if the user is experiencing high stress levels, it will suggest more comfortable modes of transport or less congested routes.

[0167] Step 5:

[0168] The user reviews the suggested options via their device and selects their preferred mode of transportation. The selected information is sent from the device to the server for optimization within the system.

[0169] Step 6:

[0170] The server automatically manages transportation usage and related facility reservations based on optimized information. Prioritizing elevator use is also adjusted as needed.

[0171] Step 7:

[0172] During travel, the server monitors weather and traffic conditions in real time, recalculates the travel route as needed, and re-evaluates emotional data. If there is a possibility of stress for the user, it presents new suggestions through the terminal.

[0173] Step 8:

[0174] The device continuously monitors the user's emotions and sends data to the server, enabling the system to provide optimal support even while the user is on the move.

[0175] In this way, the system continuously updates its content to provide users with the most comfortable travel experience.

[0176] (Example 2)

[0177] 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".

[0178] In current travel experiences, routes and modes of transportation are often selected without considering the user's emotional state. This frequently leads to users experiencing stress and unsatisfying travel experiences. Furthermore, conventional systems struggle to flexibly adjust routes in real time, taking into account changes in emotions. It is necessary to address these challenges and provide users with a personalized and comfortable travel environment.

[0179] 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.

[0180] In this invention, the server includes means for recognizing the user's emotional state and selecting a travel route and means of transportation based on that information; means for continuously monitoring the emotional state, dynamically recalculating the travel route in response to changes, and notifying the user; and means for automating facility reservations based on the travel plan. This makes it possible to select the optimal travel route and means of transportation according to the user's emotions.

[0181] "Location information" refers to data that indicates a geographical destination or the user's current location, as specified by the user.

[0182] "Time information" refers to the start and end dates and times of travel specified by the user, and is data used for scheduling adjustments.

[0183] "Topographic features" refer to physical terrain information, such as steps and gradients, used to determine the presence or absence of obstacles along a travel path.

[0184] "Transportation" refers to vehicles and routes that provide public transportation services and constitute a part of the means of getting around.

[0185] "Mobility services" refer to all services that provide means of transportation tailored to individual needs, including ride-hailing.

[0186] "Emotional state" refers to data that indicates the user's mental or emotional state and is identified by the system through analysis.

[0187] "Emotional analysis methods" refer to technologies that evaluate and detect emotional states based on information such as a user's facial expressions and tone of voice.

[0188] "Facility reservations" mean securing transportation and facilities at a destination in advance, in accordance with the user's travel plan.

[0189] "Weather conditions" refer to the current or expected weather conditions along the travel route and are factors that influence adjustments to travel plans.

[0190] This invention comprises a system designed to provide an optimal travel experience by considering the user's emotional state. The user begins by entering destination information and travel date and time using a dedicated terminal. The terminal analyzes the user's emotions by evaluating their facial expressions and voice tone using its built-in camera and microphone. This analysis utilizes machine learning models (e.g., TENSORFLOW® and OpenCV).

[0191] The terminal securely transmits information acquired from the user and analyzed emotional state data to the server via an encryption protocol. Based on this data, the server uses a map database (e.g., a map API) and a traffic information API to calculate the optimal travel route and mode of transportation. As a key technical element, the server selects a relaxing travel environment based on the emotional data and proposes an obstacle-free route that takes into account terrain features such as steps and gradients.

[0192] For example, if a user is feeling stressed and is planning to go to a shopping mall, the system will prioritize suggesting less crowded public transport or modes of transportation with ample seating. The server can continuously monitor the user's emotional state in real time and dynamically suggest new routes as needed.

[0193] Examples of prompts designed to improve the user experience using generative AI models include: "Please describe the system's functionality in providing the optimal travel method and route based on sentiment analysis, taking into account the user's specified destination and travel date and time."

[0194] In this way, this system integrates diverse information to provide personalized and comfortable travel experiences for each user.

[0195] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0196] Step 1:

[0197] The user enters their destination and travel date and time using the terminal. Input methods include text input on the touchscreen and voice commands. This retrieves destination and time information, which is then temporarily stored in the terminal. The terminal formats this input as a data package, preparing it for subsequent processing.

[0198] Step 2:

[0199] The device activates its built-in camera and microphone to collect emotional data from the user's facial expressions and voice. Based on this data, an emotion analysis engine performs facial and voice analysis to identify the user's emotional state. For example, it recognizes smiles and anxious expressions from the user's face and classifies the emotion into categories such as "relaxed" or "stressed." The analysis results are output as digital data and converted into a format that can be sent to the server.

[0200] Step 3:

[0201] The terminal organizes destination information, time information, and sentiment data and sends it to the server. This data is encrypted using a security protocol before transmission. The transmitted data is then ready for processing on the server. The server receives input from the map database and real-time traffic information API and analyzes it, including the received sentiment data.

[0202] Step 4:

[0203] The server calculates travel routes and modes of transportation based on the received data. Specifically, it generates multiple routes using location and time information, and then determines the optimal solution by referring to emotional data. Here, data calculations are performed, such as prioritizing less congested routes to reduce stress. The resulting travel profile is reformatted for visual and auditory feedback to the user and sent to the terminal.

[0204] Step 5:

[0205] The terminal presents the user with a travel profile received from the server. Visual information is displayed on the terminal's screen, and voice guidance is provided through the speaker. For example, the terminal might say, "The suggested route is less crowded and has plenty of seats available." This output allows the user to make choices based on their emotional state during travel, completing the planning of a comfortable travel experience.

[0206] Step 6:

[0207] Even while traveling, the device continuously monitors the user's emotional state and notifies the server again if a new change in emotion is detected. The server then performs new data calculations and, if necessary, calculates and sends a new travel route to the device. In this way, the user can always have the optimal travel experience.

[0208] (Application Example 2)

[0209] 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".

[0210] Despite improvements in transportation convenience in recent years, the provision of personalized travel experiences that take into account the emotional state of users remains insufficient. As a result, many users experience stress and discomfort, making it difficult to provide a highly satisfying travel experience.

[0211] 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.

[0212] In this invention, the server includes means for analyzing the user's emotional state and adjusting the comfort level inside the vehicle, means for providing an audio and visual environment selected based on the user's emotions, and means for generating a travel route. This makes it possible to provide a personalized, comfortable, and stress-free travel experience for each user.

[0213] "Destination information" refers to detailed data about the place the user wants to go.

[0214] "Date and time information" refers to data indicating the date and time the user plans to travel.

[0215] A "travel route" refers to the optimized path from the starting point to the destination.

[0216] "Steps and gradients" refer to changes in height or slopes in terrain or the structure of a facility.

[0217] "Barrier-free" refers to designs and facilities that enhance accessibility for people with disabilities and the elderly.

[0218] "Public transportation" refers to organizations or companies that provide means of transportation that can be used by the general public.

[0219] A "ride-hailing service" refers to a service that arranges a vehicle according to the user's request.

[0220] "Weather conditions" refer to the state of the external environment, such as weather, temperature, and wind speed.

[0221] "User's emotional state" refers to the psychological or emotional state that the user is experiencing.

[0222] "In-vehicle comfort" refers to the degree of comfort and satisfaction that passengers feel inside the vehicle.

[0223] "Audio and visual environment" refers to the information space, such as sounds and images, provided to the user.

[0224] The system for realizing this invention analyzes the user's emotional state in real time and personalizes the travel experience to ensure the user's comfort. The terminal receives destination and date / time information from the user and uses an emotion engine to analyze emotions from facial expressions, voice, etc. This emotion data is sent to a server, which generates a travel route based on the received destination, date / time information, and emotion data.

[0225] The server considers steps and gradients in the generated travel route and searches for barrier-free routes. It also collects information on public transport and ride-hailing services to provide the most suitable mode of transportation. Furthermore, it dynamically recalculates the travel route in response to changes in weather conditions and notifies the user.

[0226] Based on the user's emotional state, the server adjusts the comfort level inside the vehicle and provides an appropriate audio and visual environment. This reduces stress during travel, allowing users to enjoy a comfortable and satisfying travel experience.

[0227] As a concrete example, when a user is feeling stressed, the device can sense that emotion, the server will play calming music, and suggest a scenic route. Furthermore, it will provide a function to assist in securing a reclining seat.

[0228] An example of a prompt to the generating AI model is, "Please suggest music and routes for the autonomous vehicle to reduce the stress the user experiences." By combining these functions, this system can provide an optimized travel experience for the user.

[0229] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0230] Step 1:

[0231] The terminal receives destination and date / time information from the user as input. This information is then sent to the server. At this stage, the input consists of the location and date / time the user wants to travel to, and this data is sent to the server as output.

[0232] Step 2:

[0233] The device uses an emotion engine to analyze the user's emotional state from their facial expressions and voice. The analyzed emotional data is sent to the server as output. This process involves real-time voice and image analysis, and the server determines the user's emotional state based on the input data.

[0234] Step 3:

[0235] The server processes the received destination information, date and time information, and sentiment data to generate a travel route. It receives this data as input and calculates the optimal travel route while referencing map data. The output is a personalized travel route.

[0236] Step 4:

[0237] The server searches for barrier-free routes based on the generated travel path, taking into account steps and gradients. This process receives the travel path as input, compares it with a public database, and calculates an obstacle-free route. The output is barrier-free route information.

[0238] Step 5:

[0239] The server collects information on public transport and ride-hailing services in real time and processes the data to provide the most suitable mode of transportation. Based on the latest timetables and vehicle information, it recommends available options. The input is traffic information data, and the output is a suggestion of the most suitable mode of transportation.

[0240] Step 6:

[0241] The server uses a weather API to dynamically recalculate travel routes in response to changes in weather conditions and notifies the user. Since it references weather data, the input is weather data, and the output is the updated, safe travel route.

[0242] Step 7:

[0243] The server performs data calculations to adjust the comfort level inside the vehicle based on the user's emotional state. It adjusts sound, lighting, and other elements according to the user's emotions. In this process, it sends output to the sound and lighting systems based on the input emotional data.

[0244] Step 8:

[0245] The server processes data and selects music and video content to provide an audio and visual environment based on the user's emotions. The input is the emotional state and available media data, and the output is the selected content.

[0246] Step 9:

[0247] The server notifies the user based on the selected travel route and adjusted comfort level, and generates a prompt message. This prompt message includes music and route suggestions to reduce the user's stress. A generative AI model is used to generate the text presented to the user.

[0248] 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.

[0249] 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.

[0250] 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.

[0251] [Second Embodiment]

[0252] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0253] 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.

[0254] 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).

[0255] 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.

[0256] 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.

[0257] 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).

[0258] 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.

[0259] 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.

[0260] 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.

[0261] 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.

[0262] 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.

[0263] 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".

[0264] This invention is a comprehensive mobility support system designed to provide users with an experience of free movement. Based on destination and date / time information specified by the user, this system generates barrier-free travel routes and optimizes public transportation and ride-hailing services. Furthermore, it automates the booking process required for travel and dynamically optimizes travel routes in response to changes in weather and traffic conditions.

[0265] System Configuration

[0266] The system mainly consists of servers, terminals, and users.

[0267] User:

[0268] Users input their desired date, time, and destination using a device such as a smartphone or computer. This allows them to communicate their travel needs to the system.

[0269] Terminal:

[0270] The terminal receives input information from the user and sends the data to the server. It also functions as an interface to display suggestions and notifications from the server to the user.

[0271] server:

[0272] The server functions as the central hub of the system, performing multiple tasks. First, it generates the optimal barrier-free travel route based on received destination and date / time information. Next, it gathers information on potential public transport and ride-hailing services and proposes them to users. Furthermore, it integrates with the elevator management system to ensure priority use. It monitors changes in weather and traffic conditions in real time, recalculates routes as needed, and notifies users via terminals.

[0273] Specific example

[0274] For example, if a user wishes to go to a shopping mall in a wheelchair, the user enters the departure date, time, and destination via a terminal. The server then selects a route via a station with elevators and creates an optimal bus or taxi plan. The system automatically arranges the ride-hailing service, and once the user approves the proposed plan, all reservations are completed. Furthermore, if unexpected bad weather occurs on the day of travel, the server immediately calculates an alternative route and notifies the user.

[0275] In this way, this system can provide a comfortable and barrier-free travel environment for a diverse range of users.

[0276] The following describes the processing flow.

[0277] Step 1:

[0278] The user inputs the destination and time information to be traveled through the terminal. The terminal organizes this information and sends it to the server.

[0279] Step 2:

[0280] Based on the received destination information and time information, the server refers to the map database and generates a travel route considering barrier - free conditions. Routes without steps or gradients are prioritized in this route.

[0281] Step 3:

[0282] The server collects data on available public transportation and car - sharing services along the generated travel route. Based on this information, it lists up and proposes the optimal means of travel to the user.

[0283] Step 4:

[0284] The user selects the desired means of travel from the list of proposed means of travel on the terminal. The selected information is sent from the terminal to the server.

[0285] Step 5:

[0286] The server automatically contacts the necessary transportation or arranges car - sharing services according to the selected means of travel. As a result, the user's travel plan is fully automated.

[0287] Step 6:

[0288] If reservations for restaurants or facilities are required, the server searches for barrier - free facility information and automatically reserves facilities that meet the user's conditions.

[0289] Step 7:

[0290] On the day of travel, the server monitors weather conditions and traffic in real time and recalculates the optimal travel route accordingly. If there are any changes, the user is notified via their terminal.

[0291] Step 8:

[0292] If necessary, the server accesses the elevator management system and controls it to ensure that specific users have priority access to the elevators.

[0293] This series of processes allows users to travel with peace of mind in a barrier-free environment.

[0294] (Example 1)

[0295] 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."

[0296] In today's transportation environment, the problems faced by users with disabilities, in particular, are complex. For these users, ensuring barrier-free transportation is crucial, but conventional systems do not adequately support route selection, public transport and facility reservations, or automated route changes. As a result, mobility can be difficult, and users' participation in society may be limited.

[0297] 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.

[0298] In this invention, the server includes means for generating a travel route based on destination and date / time information received from the user, means for collecting information on public transport and providing the optimal means of transport, and means for dynamically recalculating the travel route in response to changes in weather conditions and traffic conditions and notifying the user. This efficiently supports barrier-free travel, enabling users to reach their destinations flexibly and smoothly.

[0299] "User" refers to an individual or their agent who uses the system to reserve a travel route or public transportation.

[0300] "Destination information" refers to data related to the place where the user wishes to travel.

[0301] "Date and time information" refers to information related to a specific date and time when the user wishes to travel.

[0302] "Travel route" refers to a passable path from the user's departure point to the destination.

[0303] "Steps and gradients" refer to the physical height differences and inclinations existing on the travel route.

[0304] "Barrier-free" refers to an environment and access means designed to enable all people, including those with physical disabilities, to move safely and comfortably.

[0305] "Public transportation" refers to a transportation system that provides means of travel accessible to the general public.

[0306] "Automation of reservation" refers to the process of automatically reserving the necessary transportation and facilities based on the user's travel plan.

[0307] "Weather conditions" refer to the weather states that may affect travel.

[0308] "Traffic conditions" refer to information about the traffic environment at that time, such as road congestion and factors hindering passage.

[0309] "Dynamically recalculate" refers to the process of re-evaluating the calculated route and modifying it as necessary based on real-time changing information.

[0310] "Proposal content" refers to the options of travel routes and transportation means presented by the server to the user.

[0311] A "travel plan" refers to a specific schedule of actions planned to help a user reach their destination.

[0312] "Vertical movement equipment" refers to mechanical equipment such as elevators and escalators used by users to move between different floor levels.

[0313] This invention is a comprehensive mobility support system designed to enable users to travel comfortably and efficiently. The system primarily consists of a server, terminals, and users, and generates barrier-free travel routes, particularly for people with physical limitations.

[0314] User actions

[0315] Users input their travel needs into the system using devices such as smartphones or computers. Specifically, they specify the date and time of their trip, their destination, and record any accessibility requirements. This information is entered through the interface of the user's device.

[0316] Terminal operation

[0317] The terminal is responsible for receiving input information from the user and sending it to the server. It also receives route suggestions and notifications from the server and displays them to the user. This interface requires a simple and highly visible design, taking user experience into consideration.

[0318] Server operation

[0319] The server plays a central role in the system. First, the server utilizes a generative AI model to generate the optimal barrier-free route based on user input data. For example, it uses algorithms such as "OptimalRouteGenerator" as an AI model to analyze public transport timetables and historical traffic data to determine the optimal route in real time. The server also monitors changes in weather and traffic conditions in real time, and by utilizing "WeatherMonitorAPI" and "TrafficDataAPI," it immediately recalculates the route when conditions change and notifies the user of the latest information.

[0320] For example, if a user wishes to travel to a commercial facility using a wheelchair, the user enters the destination and date / time into a terminal. Based on this information, the server generates the optimal travel route via stations equipped with elevator systems and automatically arranges the necessary transportation services. Once the user approves the proposed plan, all reservations are automatically completed. Even if the weather suddenly changes on the day of travel, the server quickly updates the route and notifies the user.

[0321] An example of a prompt message would be, "I would like to travel to a specific commercial facility in a wheelchair at the following date and time. Please suggest the optimal barrier-free route and necessary ride-hailing service." By giving instructions to the AI ​​model in this way, the system efficiently plans travel routes. This makes it possible to achieve flexible and smooth travel that meets the diverse needs of users.

[0322] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0323] Step 1:

[0324] The user enters their desired destination and date / time using a terminal. This input includes destination information, date / time information, and accessibility requirements. This information is collected through the terminal's interface to prepare for the next step.

[0325] Step 2:

[0326] The terminal sends the input information received from the user to the server. Here, the terminal appropriately formats the data and converts it into a form that the server can easily parse. The information sent includes the user's current location, destination, desired travel date and time, and any special travel requirements.

[0327] Step 3:

[0328] The server starts calculating travel routes using a generative AI model based on the received data. Specifically, it uses a model called "OptimalRouteGenerator" to create the optimal barrier-free route, taking into account public transport timetables, the presence or absence of barrier-free facilities, and historical travel data. The output is several candidate route options.

[0329] Step 4:

[0330] The server identifies the public transport or ride-hailing service that best suits the user's needs from the generated route options. It then analyzes cost, time, and accessibility requirements to recommend the optimal mode of transportation.

[0331] Step 5:

[0332] The server automatically makes ride-hailing service and necessary public transport reservations once the proposed travel plan is approved by the user. It accesses the API using prompts, generates reservation data, and sends it to transport companies and service providers as appropriate.

[0333] Step 6:

[0334] The server monitors weather and traffic conditions in real time until the scheduled travel date. It utilizes "WeatherMonitorAPI" and "TrafficDataAPI" as data sources and recalculates the route if conditions change. It notifies the user of the results and, if necessary, provides new travel suggestions.

[0335] Step 7:

[0336] The device receives the final notification from the server and displays the latest travel plan to the user. This allows the user to stay informed in real time about any changes and adjust their schedule accordingly.

[0337] This series of processes allows users to move smoothly and efficiently.

[0338] (Application Example 1)

[0339] 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 glasses 214 will be referred to as the "terminal."

[0340] Enabling the elderly and people with disabilities to have a comfortable and barrier-free mobility experience within urban areas is a challenging task. Conventional mobility assistance systems do not adequately consider steps and gradients, nor do they sufficiently optimize routes based on real-time weather conditions and traffic conditions. Furthermore, they lack visualization methods to present this information to users in an easily understandable way. As a result, users often feel anxious about their planned travel routes.

[0341] 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.

[0342] In this invention, the server includes means for generating travel routes, means for searching for barrier-free routes, means for providing the optimal means of transportation, means for visualizing travel plans, and means for providing guidance support using the user's terminal. This enables a barrier-free travel experience that allows diverse users to travel with peace of mind.

[0343] "Destination information" refers to geographical data about the place the user wants to go.

[0344] "Date and time information" refers to data about the date and time the user wishes to begin their journey.

[0345] A "travel route" is information that shows the path taken to reach a destination specified by the user.

[0346] "Barrier-free routes" refer to paths with few steps or slopes, making them easy to navigate with wheelchairs or strollers.

[0347] "Public transport" refers to transportation services that are generally available to the public, such as buses and trains.

[0348] "Mobility services" refer to services that provide means of transportation, such as automated ride-hailing services and taxis.

[0349] The "optimal mode of transportation" is the means that best suits the user's needs and allows them to reach their destination in the most efficient time and effort.

[0350] A "travel plan" is a schedule that includes detailed actions necessary to travel to a destination.

[0351] "Visualization methods" refer to methods of displaying data graphically and conveying information to users intuitively.

[0352] "Guidance and support methods" refer to methods of providing users with instructions and support information upon arrival at their destination.

[0353] The mobility support system in this invention begins with the user inputting destination and date / time information using a smart device. The user's input data is transmitted via the terminal to a server in the cloud. Based on this information, the server generates an optimal barrier-free travel route. The server calculates the route using a geographic information system such as the Google Maps API and collects data that takes into account steps and gradients.

[0354] The server also uses weather APIs and public transport APIs to monitor real-time weather conditions and traffic, and performs dynamic route optimization. The information obtained in this way is reflected in the user's travel plan, and the most optimized mode of transport is selected. The optimized travel plan is visualized in an easy-to-understand way for the user through their terminal, allowing the user to intuitively understand and operate it.

[0355] As a concrete example, when a user wants to travel from Tokyo Station to Asakusa via a barrier-free route, the user enters a prompt message from their smart device such as, "Generate a barrier-free route from Tokyo Station to Asakusa. The time is 9 AM on March 14th. Please optimize the route based on real-time weather and traffic conditions." Based on this prompt, the optimal route and schedule are immediately calculated and provided to the user. In this way, it is possible to support diverse users in planning and executing their travels with peace of mind.

[0356] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0357] Step 1:

[0358] Users input destination and date / time information via their smart devices. This information is received by the terminal and sent to the server as input data. Initially, the input data includes geographical location and time information.

[0359] Step 2:

[0360] The server generates a travel route using the Google Maps API based on the received destination and date / time information. The server performs data calculations to search for a barrier-free route, taking into account steps and gradients, and outputs the result.

[0361] Step 3:

[0362] The server accesses a public transport API to determine the available modes of transport in real time. It then converts the received transport data into the most suitable mode of transport and outputs it as additional information. This is the mode of transport selection step.

[0363] Step 4:

[0364] The server uses a weather API to obtain weather information for the scheduled travel date and time. Based on this information, the server evaluates the impact of weather conditions on the travel route and updates the route data as needed. The optimized travel route is generated as output.

[0365] Step 5:

[0366] Optimized route and transportation information is transmitted to the terminal and visualized in a user-friendly interface. The terminal organizes this data and displays it to the user in an intuitively operable format.

[0367] Step 6:

[0368] Finally, the user can review and select the provided route and mode of transport. Further customization is possible through prompts generated by an AI model. The user's selection is then fed back to the server.

[0369] 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.

[0370] This invention is a system for recognizing a user's emotional state and providing a comfortable travel experience accordingly. The system incorporates an emotion engine that recognizes the user's emotions, which are then reflected in the suggestion and selection of travel routes. Based on user input information, emotional state, and real-time external conditions, the system provides the optimal means of transportation and route, thereby achieving barrier-free and personalized travel.

[0371] System Configuration

[0372] User:

[0373] Users input destination information and travel date and time using their device. Additionally, the user's emotions are recognized via the device by an emotion engine.

[0374] Terminal:

[0375] The terminal's role is to transmit user input information to the server. It also incorporates an emotion engine that analyzes the user's emotions from their facial expressions and voice.

[0376] server:

[0377] The server generates the optimal travel route using map data and public transport information based on received destination information, date and time information, and sentiment data. Furthermore, it assists the user in selecting appropriate modes of transport and routes based on their sentiment data. If the user is feeling stressed, it prioritizes suggesting more relaxing seats and less crowded routes.

[0378] Specific example

[0379] For example, if a user is feeling stressed and wants to go to a shopping mall, the user provides emotional data along with input information via their device. The server analyzes the emotional data and suggests modes of transportation to reduce stress. For instance, it might suggest public transport that offers wider seating than usual, or select a less crowded route that allows for scenic views. Furthermore, the emotional engine continuously monitors the user's state during their journey, and if their stress levels rise, it again suggests newly calculated options.

[0380] In this way, the system can provide a comfortable and barrier-free travel experience optimized for each user based on a combination of information, thereby improving the overall travel experience.

[0381] The following describes the processing flow.

[0382] Step 1:

[0383] The user uses a terminal to input destination information and travel date and time. This information is organized by the terminal and sent to the server. The terminal also analyzes the user's facial expressions and voice using an emotion engine to generate emotion data.

[0384] Step 2:

[0385] The device sends the collected emotional data to the server. This allows the server to obtain the information necessary to evaluate the user's emotional state.

[0386] Step 3:

[0387] Based on the received destination information, date and time information, and sentiment data, the server accesses a map database to generate an optimal travel route that takes accessibility into consideration. In this process, it prioritizes selecting routes and means of transportation that allow the user to travel comfortably based on the sentiment data.

[0388] Step 4:

[0389] The server collects data on public transport and ride-hailing services along the generated route and suggests options that are appropriate to the user's mood. For example, if the user is experiencing high stress levels, it will suggest more comfortable modes of transport or less congested routes.

[0390] Step 5:

[0391] The user reviews the suggested options via their device and selects their preferred mode of transportation. The selected information is sent from the device to the server for optimization within the system.

[0392] Step 6:

[0393] The server automatically manages transportation usage and related facility reservations based on optimized information. Prioritizing elevator use is also adjusted as needed.

[0394] Step 7:

[0395] During travel, the server monitors weather and traffic conditions in real time, recalculates the travel route as needed, and re-evaluates emotional data. If there is a possibility of stress for the user, it presents new suggestions through the terminal.

[0396] Step 8:

[0397] The device continuously monitors the user's emotions and sends data to the server, enabling the system to provide optimal support even while the user is on the move.

[0398] In this way, the system continuously updates its content to provide users with the most comfortable travel experience.

[0399] (Example 2)

[0400] 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".

[0401] In current travel experiences, routes and modes of transportation are often selected without considering the user's emotional state. This frequently leads to users experiencing stress and unsatisfying travel experiences. Furthermore, conventional systems struggle to flexibly adjust routes in real time, taking into account changes in emotions. It is necessary to address these challenges and provide users with a personalized and comfortable travel environment.

[0402] 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.

[0403] In this invention, the server includes means for recognizing the user's emotional state and selecting a travel route and means of transportation based on that information; means for continuously monitoring the emotional state, dynamically recalculating the travel route in response to changes, and notifying the user; and means for automating facility reservations based on the travel plan. This makes it possible to select the optimal travel route and means of transportation according to the user's emotions.

[0404] "Location information" refers to data that indicates a geographical destination or the user's current location, as specified by the user.

[0405] "Time information" refers to the start and end dates and times of travel specified by the user, and is data used for scheduling adjustments.

[0406] "Topographic features" refer to physical terrain information, such as steps and gradients, used to determine the presence or absence of obstacles along a travel path.

[0407] "Transportation" refers to vehicles and routes that provide public transportation services and constitute a part of the means of getting around.

[0408] "Mobility services" refer to all services that provide means of transportation tailored to individual needs, including ride-hailing.

[0409] "Emotional state" refers to data that indicates the user's mental or emotional state and is identified by the system through analysis.

[0410] "Emotional analysis methods" refer to technologies that evaluate and detect emotional states based on information such as a user's facial expressions and tone of voice.

[0411] "Facility reservations" mean securing transportation and facilities at a destination in advance, in accordance with the user's travel plan.

[0412] "Weather conditions" refer to the current or expected weather conditions along the travel route and are factors that influence adjustments to travel plans.

[0413] This invention comprises a system designed to provide an optimal travel experience by considering the user's emotional state. The user begins by entering destination information and travel date and time using a dedicated terminal. The terminal analyzes the user's emotions by evaluating their facial expressions and voice tone using its built-in camera and microphone. This analysis utilizes machine learning models (e.g., TensorFlow and OpenCV).

[0414] The terminal securely transmits information acquired from the user and analyzed emotional state data to the server via an encryption protocol. Based on this data, the server uses a map database (e.g., a map API) and a traffic information API to calculate the optimal travel route and mode of transportation. As a key technical element, the server selects a relaxing travel environment based on the emotional data and proposes an obstacle-free route that takes into account terrain features such as steps and gradients.

[0415] For example, if a user is feeling stressed and is planning to go to a shopping mall, the system will prioritize suggesting less crowded public transport or modes of transportation with ample seating. The server can continuously monitor the user's emotional state in real time and dynamically suggest new routes as needed.

[0416] Examples of prompts designed to improve the user experience using generative AI models include: "Please describe the system's functionality in providing the optimal travel method and route based on sentiment analysis, taking into account the user's specified destination and travel date and time."

[0417] In this way, this system integrates diverse information to provide personalized and comfortable travel experiences for each user.

[0418] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0419] Step 1:

[0420] The user enters their destination and travel date and time using the terminal. Input methods include text input on the touchscreen and voice commands. This retrieves destination and time information, which is then temporarily stored in the terminal. The terminal formats this input as a data package, preparing it for subsequent processing.

[0421] Step 2:

[0422] The device activates its built-in camera and microphone to collect emotional data from the user's facial expressions and voice. Based on this data, an emotion analysis engine performs facial and voice analysis to identify the user's emotional state. For example, it recognizes smiles and anxious expressions from the user's face and classifies the emotion into categories such as "relaxed" or "stressed." The analysis results are output as digital data and converted into a format that can be sent to the server.

[0423] Step 3:

[0424] The terminal organizes destination information, time information, and sentiment data and sends it to the server. This data is encrypted using a security protocol before transmission. The transmitted data is then ready for processing on the server. The server receives input from the map database and real-time traffic information API and analyzes it, including the received sentiment data.

[0425] Step 4:

[0426] The server calculates travel routes and modes of transportation based on the received data. Specifically, it generates multiple routes using location and time information, and then determines the optimal solution by referring to emotional data. Here, data calculations are performed, such as prioritizing less congested routes to reduce stress. The resulting travel profile is reformatted for visual and auditory feedback to the user and sent to the terminal.

[0427] Step 5:

[0428] The terminal presents the user with a travel profile received from the server. Visual information is displayed on the terminal's screen, and voice guidance is provided through the speaker. For example, the terminal might say, "The suggested route is less crowded and has plenty of seats available." This output allows the user to make choices based on their emotional state during travel, completing the planning of a comfortable travel experience.

[0429] Step 6:

[0430] Even while traveling, the device continuously monitors the user's emotional state and notifies the server again if a new change in emotion is detected. The server then performs new data calculations and, if necessary, calculates and sends a new travel route to the device. In this way, the user can always have the optimal travel experience.

[0431] (Application Example 2)

[0432] 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."

[0433] Despite improvements in transportation convenience in recent years, the provision of personalized travel experiences that take into account the emotional state of users remains insufficient. As a result, many users experience stress and discomfort, making it difficult to provide a highly satisfying travel experience.

[0434] 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.

[0435] In this invention, the server includes means for analyzing the user's emotional state and adjusting the comfort level inside the vehicle, means for providing an audio and visual environment selected based on the user's emotions, and means for generating a travel route. This makes it possible to provide a personalized, comfortable, and stress-free travel experience for each user.

[0436] "Destination information" refers to detailed data about the place the user wants to go.

[0437] "Date and time information" refers to data indicating the date and time the user plans to travel.

[0438] A "travel route" refers to the optimized path from the starting point to the destination.

[0439] "Steps and gradients" refer to changes in height or slopes in terrain or the structure of a facility.

[0440] "Barrier-free" refers to designs and facilities that enhance accessibility for people with disabilities and the elderly.

[0441] "Public transportation" refers to organizations or companies that provide means of transportation that can be used by the general public.

[0442] A "ride-hailing service" refers to a service that arranges a vehicle according to the user's request.

[0443] "Weather conditions" refer to the state of the external environment, such as weather, temperature, and wind speed.

[0444] "User's emotional state" refers to the psychological or emotional state that the user is experiencing.

[0445] "In-vehicle comfort" refers to the degree of comfort and satisfaction that passengers feel inside the vehicle.

[0446] "Audio and visual environment" refers to the information space, such as sounds and images, provided to the user.

[0447] The system for realizing this invention analyzes the user's emotional state in real time and personalizes the travel experience to ensure the user's comfort. The terminal receives destination and date / time information from the user and uses an emotion engine to analyze emotions from facial expressions, voice, etc. This emotion data is sent to a server, which generates a travel route based on the received destination, date / time information, and emotion data.

[0448] The server considers steps and gradients in the generated travel route and searches for barrier-free routes. It also collects information on public transport and ride-hailing services to provide the most suitable mode of transportation. Furthermore, it dynamically recalculates the travel route in response to changes in weather conditions and notifies the user.

[0449] Based on the user's emotional state, the server adjusts the comfort level inside the vehicle and provides an appropriate audio and visual environment. This reduces stress during travel, allowing users to enjoy a comfortable and satisfying travel experience.

[0450] As a concrete example, when a user is feeling stressed, the device can sense that emotion, the server will play calming music, and suggest a scenic route. Furthermore, it will provide a function to assist in securing a reclining seat.

[0451] An example of a prompt to the generating AI model is, "Please suggest music and routes for the autonomous vehicle to reduce the stress the user experiences." By combining these functions, this system can provide an optimized travel experience for the user.

[0452] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0453] Step 1:

[0454] The terminal receives destination and date / time information from the user as input. This information is then sent to the server. At this stage, the input consists of the location and date / time the user wants to travel to, and this data is sent to the server as output.

[0455] Step 2:

[0456] The device uses an emotion engine to analyze the user's emotional state from their facial expressions and voice. The analyzed emotional data is sent to the server as output. This process involves real-time voice and image analysis, and the server determines the user's emotional state based on the input data.

[0457] Step 3:

[0458] The server processes the received destination information, date and time information, and sentiment data to generate a travel route. It receives this data as input and calculates the optimal travel route while referencing map data. The output is a personalized travel route.

[0459] Step 4:

[0460] The server searches for barrier-free routes based on the generated travel path, taking into account steps and gradients. This process receives the travel path as input, compares it with a public database, and calculates an obstacle-free route. The output is barrier-free route information.

[0461] Step 5:

[0462] The server collects information on public transport and ride-hailing services in real time and processes the data to provide the most suitable mode of transportation. Based on the latest timetables and vehicle information, it recommends available options. The input is traffic information data, and the output is a suggestion of the most suitable mode of transportation.

[0463] Step 6:

[0464] The server uses a weather API to dynamically recalculate travel routes in response to changes in weather conditions and notifies the user. Since it references weather data, the input is weather data, and the output is the updated, safe travel route.

[0465] Step 7:

[0466] The server performs data calculations to adjust the comfort level inside the vehicle based on the user's emotional state. It adjusts sound, lighting, and other elements according to the user's emotions. In this process, it sends output to the sound and lighting systems based on the input emotional data.

[0467] Step 8:

[0468] The server processes data and selects music and video content to provide an audio and visual environment based on the user's emotions. The input is the emotional state and available media data, and the output is the selected content.

[0469] Step 9:

[0470] The server notifies the user based on the selected travel route and adjusted comfort level, and generates a prompt message. This prompt message includes music and route suggestions to reduce the user's stress. A generative AI model is used to generate the text presented to the user.

[0471] 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.

[0472] 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.

[0473] 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.

[0474] [Third Embodiment]

[0475] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0476] 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.

[0477] 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).

[0478] 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.

[0479] 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.

[0480] 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).

[0481] 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.

[0482] 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.

[0483] 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.

[0484] 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.

[0485] 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.

[0486] 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".

[0487] This invention is a comprehensive mobility support system designed to provide users with an experience of free movement. Based on destination and date / time information specified by the user, this system generates barrier-free travel routes and optimizes public transportation and ride-hailing services. Furthermore, it automates the booking process required for travel and dynamically optimizes travel routes in response to changes in weather and traffic conditions.

[0488] System Configuration

[0489] The system mainly consists of servers, terminals, and users.

[0490] User:

[0491] Users input their desired date, time, and destination using a device such as a smartphone or computer. This allows them to communicate their travel needs to the system.

[0492] Terminal:

[0493] The terminal receives input information from the user and sends the data to the server. It also functions as an interface to display suggestions and notifications from the server to the user.

[0494] server:

[0495] The server functions as the central hub of the system, performing multiple tasks. First, it generates the optimal barrier-free travel route based on received destination and date / time information. Next, it gathers information on potential public transport and ride-hailing services and proposes them to users. Furthermore, it integrates with the elevator management system to ensure priority use. It monitors changes in weather and traffic conditions in real time, recalculates routes as needed, and notifies users via terminals.

[0496] Specific example

[0497] For example, if a user wishes to go to a shopping mall in a wheelchair, the user enters the departure date, time, and destination via a terminal. The server then selects a route via a station with elevators and creates an optimal bus or taxi plan. The system automatically arranges the ride-hailing service, and once the user approves the proposed plan, all reservations are completed. Furthermore, if unexpected bad weather occurs on the day of travel, the server immediately calculates an alternative route and notifies the user.

[0498] In this way, this system can provide a comfortable and barrier-free travel environment for a diverse range of users.

[0499] The following describes the processing flow.

[0500] Step 1:

[0501] The user enters their desired destination and date / time information via the device. The device then organizes this information and sends it to the server.

[0502] Step 2:

[0503] Based on the received destination and date / time information, the server consults a map database to generate a barrier-free travel route. This route prioritizes routes without steps or inclines.

[0504] Step 3:

[0505] The server collects data on available public transportation and ride-hailing services along the generated travel route. Based on this information, it lists and suggests the most suitable mode of transportation for the user.

[0506] Step 4:

[0507] The user selects their preferred mode of transportation from a list of suggested options displayed on the device. The selected information is then sent from the device to the server.

[0508] Step 5:

[0509] The server automatically contacts the necessary transportation providers and arranges ride-hailing services based on the selected mode of transport. This completely automates the user's travel planning.

[0510] Step 6:

[0511] When a reservation is needed for a restaurant or facility, the server searches for barrier-free facilities and automatically reserves a facility that meets the user's requirements.

[0512] Step 7:

[0513] On the day of travel, the server monitors weather conditions and traffic in real time and recalculates the optimal travel route accordingly. If there are any changes, the user is notified via their terminal.

[0514] Step 8:

[0515] If necessary, the server accesses the elevator management system and controls it to ensure that specific users have priority access to the elevators.

[0516] This series of processes allows users to travel with peace of mind in a barrier-free environment.

[0517] (Example 1)

[0518] 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."

[0519] In today's transportation environment, the problems faced by users with disabilities, in particular, are complex. For these users, ensuring barrier-free transportation is crucial, but conventional systems do not adequately support route selection, public transport and facility reservations, or automated route changes. As a result, mobility can be difficult, and users' participation in society may be limited.

[0520] 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.

[0521] In this invention, the server includes means for generating a travel route based on destination and date / time information received from the user, means for collecting information on public transport and providing the optimal means of transport, and means for dynamically recalculating the travel route in response to changes in weather conditions and traffic conditions and notifying the user. This efficiently supports barrier-free travel, enabling users to reach their destinations flexibly and smoothly.

[0522] "User" refers to an individual or their representative who uses the system to book travel routes or public transport.

[0523] "Destination information" refers to data about the destination that the user wishes to travel to.

[0524] "Date and time information" refers to information about the specific date and time you wish to travel.

[0525] A "travel route" refers to the passable path a user can take from their starting point to their destination.

[0526] "Steps and gradients" refer to the physical differences in elevation and slopes present in a travel path.

[0527] "Barrier-free" refers to environments and means of access designed to allow all people, including those with physical limitations, to move around safely and comfortably.

[0528] "Public transport" refers to a transportation system that provides means of travel that are available to the general public.

[0529] "Automated booking" refers to the process of automatically booking necessary transportation and facilities based on the user's travel plan.

[0530] "Weather conditions" refers to weather conditions that may affect travel.

[0531] "Traffic conditions" refers to information about the traffic environment at any given time, such as the degree of road congestion and factors that hinder traffic flow.

[0532] "Dynamic recalculation" refers to the process of re-evaluating and modifying pre-calculated paths based on real-time changing information.

[0533] "Suggested content" refers to the travel routes and transportation options that the server presents to the user.

[0534] A "travel plan" refers to a specific schedule of actions planned to help a user reach their destination.

[0535] "Vertical movement equipment" refers to mechanical equipment such as elevators and escalators used by users to move between different floor levels.

[0536] This invention is a comprehensive mobility support system designed to enable users to travel comfortably and efficiently. The system primarily consists of a server, terminals, and users, and generates barrier-free travel routes, particularly for people with physical limitations.

[0537] User actions

[0538] Users input their travel needs into the system using devices such as smartphones or computers. Specifically, they specify the date and time of their trip, their destination, and record any accessibility requirements. This information is entered through the interface of the user's device.

[0539] Terminal operation

[0540] The terminal is responsible for receiving input information from the user and sending it to the server. It also receives route suggestions and notifications from the server and displays them to the user. This interface requires a simple and highly visible design, taking user experience into consideration.

[0541] Server operation

[0542] The server plays a central role in the system. First, the server utilizes a generative AI model to generate the optimal barrier-free route based on user input data. For example, it uses algorithms such as "OptimalRouteGenerator" as an AI model to analyze public transport timetables and historical traffic data to determine the optimal route in real time. The server also monitors changes in weather and traffic conditions in real time, and by utilizing "WeatherMonitorAPI" and "TrafficDataAPI," it immediately recalculates the route when conditions change and notifies the user of the latest information.

[0543] For example, if a user wishes to travel to a commercial facility using a wheelchair, the user enters the destination and date / time into a terminal. Based on this information, the server generates the optimal travel route via stations equipped with elevator systems and automatically arranges the necessary transportation services. Once the user approves the proposed plan, all reservations are automatically completed. Even if the weather suddenly changes on the day of travel, the server quickly updates the route and notifies the user.

[0544] An example of a prompt message would be, "I would like to travel to a specific commercial facility in a wheelchair at the following date and time. Please suggest the optimal barrier-free route and necessary ride-hailing service." By giving instructions to the AI ​​model in this way, the system efficiently plans travel routes. This makes it possible to achieve flexible and smooth travel that meets the diverse needs of users.

[0545] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0546] Step 1:

[0547] The user enters their desired destination and date / time using a terminal. This input includes destination information, date / time information, and accessibility requirements. This information is collected through the terminal's interface to prepare for the next step.

[0548] Step 2:

[0549] The terminal sends the input information received from the user to the server. Here, the terminal appropriately formats the data and converts it into a form that the server can easily parse. The information sent includes the user's current location, destination, desired travel date and time, and any special travel requirements.

[0550] Step 3:

[0551] The server starts calculating travel routes using a generative AI model based on the received data. Specifically, it uses a model called "OptimalRouteGenerator" to create the optimal barrier-free route, taking into account public transport timetables, the presence or absence of barrier-free facilities, and historical travel data. The output is several candidate route options.

[0552] Step 4:

[0553] The server identifies the public transport or ride-hailing service that best suits the user's needs from the generated route options. It then analyzes cost, time, and accessibility requirements to recommend the optimal mode of transportation.

[0554] Step 5:

[0555] The server automatically makes ride-hailing service and necessary public transport reservations once the proposed travel plan is approved by the user. It accesses the API using prompts, generates reservation data, and sends it to transport companies and service providers as appropriate.

[0556] Step 6:

[0557] The server monitors weather and traffic conditions in real time until the scheduled travel date. It utilizes "WeatherMonitorAPI" and "TrafficDataAPI" as data sources and recalculates the route if conditions change. It notifies the user of the results and, if necessary, provides new travel suggestions.

[0558] Step 7:

[0559] The device receives the final notification from the server and displays the latest travel plan to the user. This allows the user to stay informed in real time about any changes and adjust their schedule accordingly.

[0560] This series of processes allows users to move smoothly and efficiently.

[0561] (Application Example 1)

[0562] 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."

[0563] Enabling the elderly and people with disabilities to have a comfortable and barrier-free mobility experience within urban areas is a challenging task. Conventional mobility assistance systems do not adequately consider steps and gradients, nor do they sufficiently optimize routes based on real-time weather conditions and traffic conditions. Furthermore, they lack visualization methods to present this information to users in an easily understandable way. As a result, users often feel anxious about their planned travel routes.

[0564] 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.

[0565] In this invention, the server includes means for generating travel routes, means for searching for barrier-free routes, means for providing the optimal means of transportation, means for visualizing travel plans, and means for providing guidance support using the user's terminal. This enables a barrier-free travel experience that allows diverse users to travel with peace of mind.

[0566] "Destination information" refers to geographical data about the place the user wants to go.

[0567] "Date and time information" refers to data about the date and time the user wishes to begin their journey.

[0568] A "travel route" is information that shows the path taken to reach a destination specified by the user.

[0569] "Barrier-free routes" refer to paths with few steps or slopes, making them easy to navigate with wheelchairs or strollers.

[0570] "Public transport" refers to transportation services that are generally available to the public, such as buses and trains.

[0571] "Mobility services" refer to services that provide means of transportation, such as automated ride-hailing services and taxis.

[0572] The "optimal mode of transportation" is the means that best suits the user's needs and allows them to reach their destination in the most efficient time and effort.

[0573] A "travel plan" is a schedule that includes detailed actions necessary to travel to a destination.

[0574] "Visualization methods" refer to methods of displaying data graphically and conveying information to users intuitively.

[0575] "Guidance and support methods" refer to methods of providing users with instructions and support information upon arrival at their destination.

[0576] The mobility support system in this invention begins with the user inputting destination and date / time information using a smart device. The user's input data is transmitted via the terminal to a server in the cloud. Based on this information, the server generates an optimal barrier-free travel route. The server calculates the route using a geographic information system such as the Google Maps API and collects data that takes into account steps and gradients.

[0577] The server also uses weather APIs and public transport APIs to monitor real-time weather conditions and traffic, and performs dynamic route optimization. The information obtained in this way is reflected in the user's travel plan, and the most optimized mode of transport is selected. The optimized travel plan is visualized in an easy-to-understand way for the user through their terminal, allowing the user to intuitively understand and operate it.

[0578] As a concrete example, when a user wants to travel from Tokyo Station to Asakusa via a barrier-free route, the user enters a prompt message from their smart device such as, "Generate a barrier-free route from Tokyo Station to Asakusa. The time is 9 AM on March 14th. Please optimize the route based on real-time weather and traffic conditions." Based on this prompt, the optimal route and schedule are immediately calculated and provided to the user. In this way, it is possible to support diverse users in planning and executing their travels with peace of mind.

[0579] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0580] Step 1:

[0581] Users input destination and date / time information via their smart devices. This information is received by the terminal and sent to the server as input data. Initially, the input data includes geographical location and time information.

[0582] Step 2:

[0583] The server generates a travel route using the Google Maps API based on the received destination and date / time information. The server performs data calculations to search for a barrier-free route, taking into account steps and gradients, and outputs the result.

[0584] Step 3:

[0585] The server accesses a public transport API to determine the available modes of transport in real time. It then converts the received transport data into the most suitable mode of transport and outputs it as additional information. This is the mode of transport selection step.

[0586] Step 4:

[0587] The server uses a weather API to obtain weather information for the scheduled travel date and time. Based on this information, the server evaluates the impact of weather conditions on the travel route and updates the route data as needed. The optimized travel route is generated as output.

[0588] Step 5:

[0589] Optimized route and transportation information is transmitted to the terminal and visualized in a user-friendly interface. The terminal organizes this data and displays it to the user in an intuitively operable format.

[0590] Step 6:

[0591] Finally, the user can review and select the provided route and mode of transport. Further customization is possible through prompts generated by an AI model. The user's selection is then fed back to the server.

[0592] 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.

[0593] This invention is a system for recognizing a user's emotional state and providing a comfortable travel experience accordingly. The system incorporates an emotion engine that recognizes the user's emotions, which are then reflected in the suggestion and selection of travel routes. Based on user input information, emotional state, and real-time external conditions, the system provides the optimal means of transportation and route, thereby achieving barrier-free and personalized travel.

[0594] System Configuration

[0595] User:

[0596] Users input destination information and travel date and time using their device. Additionally, the user's emotions are recognized via the device by an emotion engine.

[0597] Terminal:

[0598] The terminal's role is to transmit user input information to the server. It also incorporates an emotion engine that analyzes the user's emotions from their facial expressions and voice.

[0599] server:

[0600] The server generates the optimal travel route using map data and public transport information based on received destination information, date and time information, and sentiment data. Furthermore, it assists the user in selecting appropriate modes of transport and routes based on their sentiment data. If the user is feeling stressed, it prioritizes suggesting more relaxing seats and less crowded routes.

[0601] Specific example

[0602] For example, if a user is feeling stressed and wants to go to a shopping mall, the user provides emotional data along with input information via their device. The server analyzes the emotional data and suggests modes of transportation to reduce stress. For instance, it might suggest public transport that offers wider seating than usual, or select a less crowded route that allows for scenic views. Furthermore, the emotional engine continuously monitors the user's state during their journey, and if their stress levels rise, it again suggests newly calculated options.

[0603] In this way, the system can provide a comfortable and barrier-free travel experience optimized for each user based on a combination of information, thereby improving the overall travel experience.

[0604] The following describes the processing flow.

[0605] Step 1:

[0606] The user uses a terminal to input destination information and travel date and time. This information is organized by the terminal and sent to the server. The terminal also analyzes the user's facial expressions and voice using an emotion engine to generate emotion data.

[0607] Step 2:

[0608] The device sends the collected emotional data to the server. This allows the server to obtain the information necessary to evaluate the user's emotional state.

[0609] Step 3:

[0610] Based on the received destination information, date and time information, and sentiment data, the server accesses a map database to generate an optimal travel route that takes accessibility into consideration. In this process, it prioritizes selecting routes and means of transportation that allow the user to travel comfortably based on the sentiment data.

[0611] Step 4:

[0612] The server collects data on public transport and ride-hailing services along the generated route and suggests options that are appropriate to the user's mood. For example, if the user is experiencing high stress levels, it will suggest more comfortable modes of transport or less congested routes.

[0613] Step 5:

[0614] The user reviews the suggested options via their device and selects their preferred mode of transportation. The selected information is sent from the device to the server for optimization within the system.

[0615] Step 6:

[0616] The server automatically manages transportation usage and related facility reservations based on optimized information. Prioritizing elevator use is also adjusted as needed.

[0617] Step 7:

[0618] During travel, the server monitors weather and traffic conditions in real time, recalculates the travel route as needed, and re-evaluates emotional data. If there is a possibility of stress for the user, it presents new suggestions through the terminal.

[0619] Step 8:

[0620] The device continuously monitors the user's emotions and sends data to the server, enabling the system to provide optimal support even while the user is on the move.

[0621] In this way, the system continuously updates its content to provide users with the most comfortable travel experience.

[0622] (Example 2)

[0623] 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."

[0624] In current travel experiences, routes and modes of transportation are often selected without considering the user's emotional state. This frequently leads to users experiencing stress and unsatisfying travel experiences. Furthermore, conventional systems struggle to flexibly adjust routes in real time, taking into account changes in emotions. It is necessary to address these challenges and provide users with a personalized and comfortable travel environment.

[0625] 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.

[0626] In this invention, the server includes means for recognizing the user's emotional state and selecting a travel route and means of transportation based on that information; means for continuously monitoring the emotional state, dynamically recalculating the travel route in response to changes, and notifying the user; and means for automating facility reservations based on the travel plan. This makes it possible to select the optimal travel route and means of transportation according to the user's emotions.

[0627] "Location information" refers to data that indicates a geographical destination or the user's current location, as specified by the user.

[0628] "Time information" refers to the start and end dates and times of travel specified by the user, and is data used for scheduling adjustments.

[0629] "Topographic features" refer to physical terrain information, such as steps and gradients, used to determine the presence or absence of obstacles along a travel path.

[0630] "Transportation" refers to vehicles and routes that provide public transportation services and constitute a part of the means of getting around.

[0631] "Mobility services" refer to all services that provide means of transportation tailored to individual needs, including ride-hailing.

[0632] "Emotional state" refers to data that indicates the user's mental or emotional state and is identified by the system through analysis.

[0633] "Emotional analysis methods" refer to technologies that evaluate and detect emotional states based on information such as a user's facial expressions and tone of voice.

[0634] "Facility reservations" mean securing transportation and facilities at a destination in advance, in accordance with the user's travel plan.

[0635] "Weather conditions" refer to the current or expected weather conditions along the travel route and are factors that influence adjustments to travel plans.

[0636] This invention comprises a system designed to provide an optimal travel experience by considering the user's emotional state. The user begins by entering destination information and travel date and time using a dedicated terminal. The terminal analyzes the user's emotions by evaluating their facial expressions and voice tone using its built-in camera and microphone. This analysis utilizes machine learning models (e.g., TensorFlow and OpenCV).

[0637] The terminal securely transmits information acquired from the user and analyzed emotional state data to the server via an encryption protocol. Based on this data, the server uses a map database (e.g., a map API) and a traffic information API to calculate the optimal travel route and mode of transportation. As a key technical element, the server selects a relaxing travel environment based on the emotional data and proposes an obstacle-free route that takes into account terrain features such as steps and gradients.

[0638] For example, if a user is feeling stressed and is planning to go to a shopping mall, the system will prioritize suggesting less crowded public transport or modes of transportation with ample seating. The server can continuously monitor the user's emotional state in real time and dynamically suggest new routes as needed.

[0639] Examples of prompts designed to improve the user experience using generative AI models include: "Please describe the system's functionality in providing the optimal travel method and route based on sentiment analysis, taking into account the user's specified destination and travel date and time."

[0640] In this way, this system integrates diverse information to provide personalized and comfortable travel experiences for each user.

[0641] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0642] Step 1:

[0643] The user enters their destination and travel date and time using the terminal. Input methods include text input on the touchscreen and voice commands. This retrieves destination and time information, which is then temporarily stored in the terminal. The terminal formats this input as a data package, preparing it for subsequent processing.

[0644] Step 2:

[0645] The device activates its built-in camera and microphone to collect emotional data from the user's facial expressions and voice. Based on this data, an emotion analysis engine performs facial and voice analysis to identify the user's emotional state. For example, it recognizes smiles and anxious expressions from the user's face and classifies the emotion into categories such as "relaxed" or "stressed." The analysis results are output as digital data and converted into a format that can be sent to the server.

[0646] Step 3:

[0647] The terminal organizes destination information, time information, and sentiment data and sends it to the server. This data is encrypted using a security protocol before transmission. The transmitted data is then ready for processing on the server. The server receives input from the map database and real-time traffic information API and analyzes it, including the received sentiment data.

[0648] Step 4:

[0649] The server calculates travel routes and modes of transportation based on the received data. Specifically, it generates multiple routes using location and time information, and then determines the optimal solution by referring to emotional data. Here, data calculations are performed, such as prioritizing less congested routes to reduce stress. The resulting travel profile is reformatted for visual and auditory feedback to the user and sent to the terminal.

[0650] Step 5:

[0651] The terminal presents the user with a travel profile received from the server. Visual information is displayed on the terminal's screen, and voice guidance is provided through the speaker. For example, the terminal might say, "The suggested route is less crowded and has plenty of seats available." This output allows the user to make choices based on their emotional state during travel, completing the planning of a comfortable travel experience.

[0652] Step 6:

[0653] Even while traveling, the device continuously monitors the user's emotional state and notifies the server again if a new change in emotion is detected. The server then performs new data calculations and, if necessary, calculates and sends a new travel route to the device. In this way, the user can always have the optimal travel experience.

[0654] (Application Example 2)

[0655] 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."

[0656] Despite improvements in transportation convenience in recent years, the provision of personalized travel experiences that take into account the emotional state of users remains insufficient. As a result, many users experience stress and discomfort, making it difficult to provide a highly satisfying travel experience.

[0657] 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.

[0658] In this invention, the server includes means for analyzing the user's emotional state and adjusting the comfort level inside the vehicle, means for providing an audio and visual environment selected based on the user's emotions, and means for generating a travel route. This makes it possible to provide a personalized, comfortable, and stress-free travel experience for each user.

[0659] "Destination information" refers to detailed data about the place the user wants to go.

[0660] "Date and time information" refers to data indicating the date and time the user plans to travel.

[0661] A "travel route" refers to the optimized path from the starting point to the destination.

[0662] "Steps and gradients" refer to changes in height or slopes in terrain or the structure of a facility.

[0663] "Barrier-free" refers to designs and facilities that enhance accessibility for people with disabilities and the elderly.

[0664] "Public transportation" refers to organizations or companies that provide means of transportation that can be used by the general public.

[0665] A "ride-hailing service" refers to a service that arranges a vehicle according to the user's request.

[0666] "Weather conditions" refer to the state of the external environment, such as weather, temperature, and wind speed.

[0667] "User's emotional state" refers to the psychological or emotional state that the user is experiencing.

[0668] "In-vehicle comfort" refers to the degree of comfort and satisfaction that passengers feel inside the vehicle.

[0669] "Audio and visual environment" refers to the information space, such as sounds and images, provided to the user.

[0670] The system for realizing this invention analyzes the user's emotional state in real time and personalizes the travel experience to ensure the user's comfort. The terminal receives destination and date / time information from the user and uses an emotion engine to analyze emotions from facial expressions, voice, etc. This emotion data is sent to a server, which generates a travel route based on the received destination, date / time information, and emotion data.

[0671] The server considers steps and gradients in the generated travel route and searches for barrier-free routes. It also collects information on public transport and ride-hailing services to provide the most suitable mode of transportation. Furthermore, it dynamically recalculates the travel route in response to changes in weather conditions and notifies the user.

[0672] Based on the user's emotional state, the server adjusts the comfort level inside the vehicle and provides an appropriate audio and visual environment. This reduces stress during travel, allowing users to enjoy a comfortable and satisfying travel experience.

[0673] As a concrete example, when a user is feeling stressed, the device can sense that emotion, the server will play calming music, and suggest a scenic route. Furthermore, it will provide a function to assist in securing a reclining seat.

[0674] An example of a prompt to the generating AI model is, "Please suggest music and routes for the autonomous vehicle to reduce the stress the user experiences." By combining these functions, this system can provide an optimized travel experience for the user.

[0675] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0676] Step 1:

[0677] The terminal receives destination and date / time information from the user as input. This information is then sent to the server. At this stage, the input consists of the location and date / time the user wants to travel to, and this data is sent to the server as output.

[0678] Step 2:

[0679] The device uses an emotion engine to analyze the user's emotional state from their facial expressions and voice. The analyzed emotional data is sent to the server as output. This process involves real-time voice and image analysis, and the server determines the user's emotional state based on the input data.

[0680] Step 3:

[0681] The server processes the received destination information, date and time information, and sentiment data to generate a travel route. It receives this data as input and calculates the optimal travel route while referencing map data. The output is a personalized travel route.

[0682] Step 4:

[0683] The server searches for barrier-free routes based on the generated travel path, taking into account steps and gradients. This process receives the travel path as input, compares it with a public database, and calculates an obstacle-free route. The output is barrier-free route information.

[0684] Step 5:

[0685] The server collects information on public transport and ride-hailing services in real time and processes the data to provide the most suitable mode of transportation. Based on the latest timetables and vehicle information, it recommends available options. The input is traffic information data, and the output is a suggestion of the most suitable mode of transportation.

[0686] Step 6:

[0687] The server uses a weather API to dynamically recalculate travel routes in response to changes in weather conditions and notifies the user. Since it references weather data, the input is weather data, and the output is the updated, safe travel route.

[0688] Step 7:

[0689] The server performs data calculations to adjust the comfort level inside the vehicle based on the user's emotional state. It adjusts sound, lighting, and other elements according to the user's emotions. In this process, it sends output to the sound and lighting systems based on the input emotional data.

[0690] Step 8:

[0691] The server processes data and selects music and video content to provide an audio and visual environment based on the user's emotions. The input is the emotional state and available media data, and the output is the selected content.

[0692] Step 9:

[0693] The server notifies the user based on the selected travel route and adjusted comfort level, and generates a prompt message. This prompt message includes music and route suggestions to reduce the user's stress. A generative AI model is used to generate the text presented to the user.

[0694] 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.

[0695] 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.

[0696] 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.

[0697] [Fourth Embodiment]

[0698] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0699] 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.

[0700] 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).

[0701] 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.

[0702] 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.

[0703] 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).

[0704] 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.

[0705] 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.

[0706] 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.

[0707] 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.

[0708] 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.

[0709] 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.

[0710] 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".

[0711] This invention is a comprehensive mobility support system designed to provide users with an experience of free movement. Based on destination and date / time information specified by the user, this system generates barrier-free travel routes and optimizes public transportation and ride-hailing services. Furthermore, it automates the booking process required for travel and dynamically optimizes travel routes in response to changes in weather and traffic conditions.

[0712] System Configuration

[0713] The system mainly consists of servers, terminals, and users.

[0714] User:

[0715] Users input their desired date, time, and destination using a device such as a smartphone or computer. This allows them to communicate their travel needs to the system.

[0716] Terminal:

[0717] The terminal receives input information from the user and sends the data to the server. It also functions as an interface to display suggestions and notifications from the server to the user.

[0718] server:

[0719] The server functions as the central hub of the system, performing multiple tasks. First, it generates the optimal barrier-free travel route based on received destination and date / time information. Next, it gathers information on potential public transport and ride-hailing services and proposes them to users. Furthermore, it integrates with the elevator management system to ensure priority use. It monitors changes in weather and traffic conditions in real time, recalculates routes as needed, and notifies users via terminals.

[0720] Specific example

[0721] For example, if a user wishes to go to a shopping mall in a wheelchair, the user enters the departure date, time, and destination via a terminal. The server then selects a route via a station with elevators and creates an optimal bus or taxi plan. The system automatically arranges the ride-hailing service, and once the user approves the proposed plan, all reservations are completed. Furthermore, if unexpected bad weather occurs on the day of travel, the server immediately calculates an alternative route and notifies the user.

[0722] In this way, this system can provide a comfortable and barrier-free travel environment for a diverse range of users.

[0723] The following describes the processing flow.

[0724] Step 1:

[0725] The user enters their desired destination and date / time information via the device. The device then organizes this information and sends it to the server.

[0726] Step 2:

[0727] Based on the received destination and date / time information, the server consults a map database to generate a barrier-free travel route. This route prioritizes routes without steps or inclines.

[0728] Step 3:

[0729] The server collects data on available public transportation and ride-hailing services along the generated travel route. Based on this information, it lists and suggests the most suitable mode of transportation for the user.

[0730] Step 4:

[0731] The user selects their preferred mode of transportation from a list of suggested options displayed on the device. The selected information is then sent from the device to the server.

[0732] Step 5:

[0733] The server automatically contacts the necessary transportation providers and arranges ride-hailing services based on the selected mode of transport. This completely automates the user's travel planning.

[0734] Step 6:

[0735] When a reservation is needed for a restaurant or facility, the server searches for barrier-free facilities and automatically reserves a facility that meets the user's requirements.

[0736] Step 7:

[0737] On the day of travel, the server monitors weather conditions and traffic in real time and recalculates the optimal travel route accordingly. If there are any changes, the user is notified via their terminal.

[0738] Step 8:

[0739] If necessary, the server accesses the elevator management system and controls it to ensure that specific users have priority access to the elevators.

[0740] This series of processes allows users to travel with peace of mind in a barrier-free environment.

[0741] (Example 1)

[0742] 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".

[0743] In today's transportation environment, the problems faced by users with disabilities, in particular, are complex. For these users, ensuring barrier-free transportation is crucial, but conventional systems do not adequately support route selection, public transport and facility reservations, or automated route changes. As a result, mobility can be difficult, and users' participation in society may be limited.

[0744] 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.

[0745] In this invention, the server includes means for generating a travel route based on destination and date / time information received from the user, means for collecting information on public transport and providing the optimal means of transport, and means for dynamically recalculating the travel route in response to changes in weather conditions and traffic conditions and notifying the user. This efficiently supports barrier-free travel, enabling users to reach their destinations flexibly and smoothly.

[0746] "User" refers to an individual or their representative who uses the system to book travel routes or public transport.

[0747] "Destination information" refers to data about the destination that the user wishes to travel to.

[0748] "Date and time information" refers to information about the specific date and time you wish to travel.

[0749] A "travel route" refers to the passable path a user can take from their starting point to their destination.

[0750] "Steps and gradients" refer to the physical differences in elevation and slopes present in a travel path.

[0751] "Barrier-free" refers to environments and means of access designed to allow all people, including those with physical limitations, to move around safely and comfortably.

[0752] "Public transport" refers to a transportation system that provides means of travel that are available to the general public.

[0753] "Automated booking" refers to the process of automatically booking necessary transportation and facilities based on the user's travel plan.

[0754] "Weather conditions" refers to weather conditions that may affect travel.

[0755] "Traffic conditions" refers to information about the traffic environment at any given time, such as the degree of road congestion and factors that hinder traffic flow.

[0756] "Dynamic recalculation" refers to the process of re-evaluating and modifying pre-calculated paths based on real-time changing information.

[0757] "Suggested content" refers to the travel routes and transportation options that the server presents to the user.

[0758] A "travel plan" refers to a specific schedule of actions planned to help a user reach their destination.

[0759] "Vertical movement equipment" refers to mechanical equipment such as elevators and escalators used by users to move between different floor levels.

[0760] This invention is a comprehensive mobility support system designed to enable users to travel comfortably and efficiently. The system primarily consists of a server, terminals, and users, and generates barrier-free travel routes, particularly for people with physical limitations.

[0761] User actions

[0762] Users input their travel needs into the system using devices such as smartphones or computers. Specifically, they specify the date and time of their trip, their destination, and record any accessibility requirements. This information is entered through the interface of the user's device.

[0763] Terminal operation

[0764] The terminal is responsible for receiving input information from the user and sending it to the server. It also receives route suggestions and notifications from the server and displays them to the user. This interface requires a simple and highly visible design, taking user experience into consideration.

[0765] Server operation

[0766] The server plays a central role in the system. First, the server utilizes a generative AI model to generate the optimal barrier-free route based on user input data. For example, it uses algorithms such as "OptimalRouteGenerator" as an AI model to analyze public transport timetables and historical traffic data to determine the optimal route in real time. The server also monitors changes in weather and traffic conditions in real time, and by utilizing "WeatherMonitorAPI" and "TrafficDataAPI," it immediately recalculates the route when conditions change and notifies the user of the latest information.

[0767] For example, if a user wishes to travel to a commercial facility using a wheelchair, the user enters the destination and date / time into a terminal. Based on this information, the server generates the optimal travel route via stations equipped with elevator systems and automatically arranges the necessary transportation services. Once the user approves the proposed plan, all reservations are automatically completed. Even if the weather suddenly changes on the day of travel, the server quickly updates the route and notifies the user.

[0768] An example of a prompt message would be, "I would like to travel to a specific commercial facility in a wheelchair at the following date and time. Please suggest the optimal barrier-free route and necessary ride-hailing service." By giving instructions to the AI ​​model in this way, the system efficiently plans travel routes. This makes it possible to achieve flexible and smooth travel that meets the diverse needs of users.

[0769] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0770] Step 1:

[0771] The user enters their desired destination and date / time using a terminal. This input includes destination information, date / time information, and accessibility requirements. This information is collected through the terminal's interface to prepare for the next step.

[0772] Step 2:

[0773] The terminal sends the input information received from the user to the server. Here, the terminal appropriately formats the data and converts it into a form that the server can easily parse. The information sent includes the user's current location, destination, desired travel date and time, and any special travel requirements.

[0774] Step 3:

[0775] The server starts calculating travel routes using a generative AI model based on the received data. Specifically, it uses a model called "OptimalRouteGenerator" to create the optimal barrier-free route, taking into account public transport timetables, the presence or absence of barrier-free facilities, and historical travel data. The output is several candidate route options.

[0776] Step 4:

[0777] The server identifies the public transport or ride-hailing service that best suits the user's needs from the generated route options. It then analyzes cost, time, and accessibility requirements to recommend the optimal mode of transportation.

[0778] Step 5:

[0779] The server automatically makes ride-hailing service and necessary public transport reservations once the proposed travel plan is approved by the user. It accesses the API using prompts, generates reservation data, and sends it to transport companies and service providers as appropriate.

[0780] Step 6:

[0781] The server monitors weather and traffic conditions in real time until the scheduled travel date. It utilizes "WeatherMonitorAPI" and "TrafficDataAPI" as data sources and recalculates the route if conditions change. It notifies the user of the results and, if necessary, provides new travel suggestions.

[0782] Step 7:

[0783] The device receives the final notification from the server and displays the latest travel plan to the user. This allows the user to stay informed in real time about any changes and adjust their schedule accordingly.

[0784] This series of processes allows users to move smoothly and efficiently.

[0785] (Application Example 1)

[0786] 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".

[0787] Enabling the elderly and people with disabilities to have a comfortable and barrier-free mobility experience within urban areas is a challenging task. Conventional mobility assistance systems do not adequately consider steps and gradients, nor do they sufficiently optimize routes based on real-time weather conditions and traffic conditions. Furthermore, they lack visualization methods to present this information to users in an easily understandable way. As a result, users often feel anxious about their planned travel routes.

[0788] 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.

[0789] In this invention, the server includes means for generating travel routes, means for searching for barrier-free routes, means for providing the optimal means of transportation, means for visualizing travel plans, and means for providing guidance support using the user's terminal. This enables a barrier-free travel experience that allows diverse users to travel with peace of mind.

[0790] "Destination information" refers to geographical data about the place the user wants to go.

[0791] "Date and time information" refers to data about the date and time the user wishes to begin their journey.

[0792] A "travel route" is information that shows the path taken to reach a destination specified by the user.

[0793] "Barrier-free routes" refer to paths with few steps or slopes, making them easy to navigate with wheelchairs or strollers.

[0794] "Public transport" refers to transportation services that are generally available to the public, such as buses and trains.

[0795] "Mobility services" refer to services that provide means of transportation, such as automated ride-hailing services and taxis.

[0796] The "optimal mode of transportation" is the means that best suits the user's needs and allows them to reach their destination in the most efficient time and effort.

[0797] A "travel plan" is a schedule that includes detailed actions necessary to travel to a destination.

[0798] "Visualization methods" refer to methods of displaying data graphically and conveying information to users intuitively.

[0799] "Guidance and support methods" refer to methods of providing users with instructions and support information upon arrival at their destination.

[0800] The mobility support system in this invention begins with the user inputting destination and date / time information using a smart device. The user's input data is transmitted via the terminal to a server in the cloud. Based on this information, the server generates an optimal barrier-free travel route. The server calculates the route using a geographic information system such as the Google Maps API and collects data that takes into account steps and gradients.

[0801] The server also uses weather APIs and public transport APIs to monitor real-time weather conditions and traffic, and performs dynamic route optimization. The information obtained in this way is reflected in the user's travel plan, and the most optimized mode of transport is selected. The optimized travel plan is visualized in an easy-to-understand way for the user through their terminal, allowing the user to intuitively understand and operate it.

[0802] As a concrete example, when a user wants to travel from Tokyo Station to Asakusa via a barrier-free route, the user enters a prompt message from their smart device such as, "Generate a barrier-free route from Tokyo Station to Asakusa. The time is 9 AM on March 14th. Please optimize the route based on real-time weather and traffic conditions." Based on this prompt, the optimal route and schedule are immediately calculated and provided to the user. In this way, it is possible to support diverse users in planning and executing their travels with peace of mind.

[0803] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0804] Step 1:

[0805] Users input destination and date / time information via their smart devices. This information is received by the terminal and sent to the server as input data. Initially, the input data includes geographical location and time information.

[0806] Step 2:

[0807] The server generates a travel route using the Google Maps API based on the received destination and date / time information. The server performs data calculations to search for a barrier-free route, taking into account steps and gradients, and outputs the result.

[0808] Step 3:

[0809] The server accesses a public transport API to determine the available modes of transport in real time. It then converts the received transport data into the most suitable mode of transport and outputs it as additional information. This is the mode of transport selection step.

[0810] Step 4:

[0811] The server uses a weather API to obtain weather information for the scheduled travel date and time. Based on this information, the server evaluates the impact of weather conditions on the travel route and updates the route data as needed. The optimized travel route is generated as output.

[0812] Step 5:

[0813] Optimized route and transportation information is transmitted to the terminal and visualized in a user-friendly interface. The terminal organizes this data and displays it to the user in an intuitively operable format.

[0814] Step 6:

[0815] Finally, the user can review and select the provided route and mode of transport. Further customization is possible through prompts generated by an AI model. The user's selection is then fed back to the server.

[0816] 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.

[0817] This invention is a system for recognizing a user's emotional state and providing a comfortable travel experience accordingly. The system incorporates an emotion engine that recognizes the user's emotions, which are then reflected in the suggestion and selection of travel routes. Based on user input information, emotional state, and real-time external conditions, the system provides the optimal means of transportation and route, thereby achieving barrier-free and personalized travel.

[0818] System Configuration

[0819] User:

[0820] Users input destination information and travel date and time using their device. Additionally, the user's emotions are recognized via the device by an emotion engine.

[0821] Terminal:

[0822] The terminal's role is to transmit user input information to the server. It also incorporates an emotion engine that analyzes the user's emotions from their facial expressions and voice.

[0823] server:

[0824] The server generates the optimal travel route using map data and public transport information based on received destination information, date and time information, and sentiment data. Furthermore, it assists the user in selecting appropriate modes of transport and routes based on their sentiment data. If the user is feeling stressed, it prioritizes suggesting more relaxing seats and less crowded routes.

[0825] Specific example

[0826] For example, if a user is feeling stressed and wants to go to a shopping mall, the user provides emotional data along with input information via their device. The server analyzes the emotional data and suggests modes of transportation to reduce stress. For instance, it might suggest public transport that offers wider seating than usual, or select a less crowded route that allows for scenic views. Furthermore, the emotional engine continuously monitors the user's state during their journey, and if their stress levels rise, it again suggests newly calculated options.

[0827] In this way, the system can provide a comfortable and barrier-free travel experience optimized for each user based on a combination of information, thereby improving the overall travel experience.

[0828] The following describes the processing flow.

[0829] Step 1:

[0830] The user uses a terminal to input destination information and travel date and time. This information is organized by the terminal and sent to the server. The terminal also analyzes the user's facial expressions and voice using an emotion engine to generate emotion data.

[0831] Step 2:

[0832] The device sends the collected emotional data to the server. This allows the server to obtain the information necessary to evaluate the user's emotional state.

[0833] Step 3:

[0834] Based on the received destination information, date and time information, and sentiment data, the server accesses a map database to generate an optimal travel route that takes accessibility into consideration. In this process, it prioritizes selecting routes and means of transportation that allow the user to travel comfortably based on the sentiment data.

[0835] Step 4:

[0836] The server collects data on public transport and ride-hailing services along the generated route and suggests options that are appropriate to the user's mood. For example, if the user is experiencing high stress levels, it will suggest more comfortable modes of transport or less congested routes.

[0837] Step 5:

[0838] The user reviews the suggested options via their device and selects their preferred mode of transportation. The selected information is sent from the device to the server for optimization within the system.

[0839] Step 6:

[0840] The server automatically manages transportation usage and related facility reservations based on optimized information. Prioritizing elevator use is also adjusted as needed.

[0841] Step 7:

[0842] During travel, the server monitors weather and traffic conditions in real time, recalculates the travel route as needed, and re-evaluates emotional data. If there is a possibility of stress for the user, it presents new suggestions through the terminal.

[0843] Step 8:

[0844] The device continuously monitors the user's emotions and sends data to the server, enabling the system to provide optimal support even while the user is on the move.

[0845] In this way, the system continuously updates its content to provide users with the most comfortable travel experience.

[0846] (Example 2)

[0847] 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".

[0848] In current travel experiences, routes and modes of transportation are often selected without considering the user's emotional state. This frequently leads to users experiencing stress and unsatisfying travel experiences. Furthermore, conventional systems struggle to flexibly adjust routes in real time, taking into account changes in emotions. It is necessary to address these challenges and provide users with a personalized and comfortable travel environment.

[0849] 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.

[0850] In this invention, the server includes means for recognizing the user's emotional state and selecting a travel route and means of transportation based on that information; means for continuously monitoring the emotional state, dynamically recalculating the travel route in response to changes, and notifying the user; and means for automating facility reservations based on the travel plan. This makes it possible to select the optimal travel route and means of transportation according to the user's emotions.

[0851] "Location information" refers to data that indicates a geographical destination or the user's current location, as specified by the user.

[0852] "Time information" refers to the start and end dates and times of travel specified by the user, and is data used for scheduling adjustments.

[0853] "Topographic features" refer to physical terrain information, such as steps and gradients, used to determine the presence or absence of obstacles along a travel path.

[0854] "Transportation" refers to vehicles and routes that provide public transportation services and constitute a part of the means of getting around.

[0855] "Mobility services" refer to all services that provide means of transportation tailored to individual needs, including ride-hailing.

[0856] "Emotional state" refers to data that indicates the user's mental or emotional state and is identified by the system through analysis.

[0857] "Emotional analysis methods" refer to technologies that evaluate and detect emotional states based on information such as a user's facial expressions and tone of voice.

[0858] "Facility reservations" mean securing transportation and facilities at a destination in advance, in accordance with the user's travel plan.

[0859] "Weather conditions" refer to the current or expected weather conditions along the travel route and are factors that influence adjustments to travel plans.

[0860] This invention comprises a system designed to provide an optimal travel experience by considering the user's emotional state. The user begins by entering destination information and travel date and time using a dedicated terminal. The terminal analyzes the user's emotions by evaluating their facial expressions and voice tone using its built-in camera and microphone. This analysis utilizes machine learning models (e.g., TensorFlow and OpenCV).

[0861] The terminal securely transmits information acquired from the user and analyzed emotional state data to the server via an encryption protocol. Based on this data, the server uses a map database (e.g., a map API) and a traffic information API to calculate the optimal travel route and mode of transportation. As a key technical element, the server selects a relaxing travel environment based on the emotional data and proposes an obstacle-free route that takes into account terrain features such as steps and gradients.

[0862] For example, if a user is feeling stressed and is planning to go to a shopping mall, the system will prioritize suggesting less crowded public transport or modes of transportation with ample seating. The server can continuously monitor the user's emotional state in real time and dynamically suggest new routes as needed.

[0863] Examples of prompts designed to improve the user experience using generative AI models include: "Please describe the system's functionality in providing the optimal travel method and route based on sentiment analysis, taking into account the user's specified destination and travel date and time."

[0864] In this way, this system integrates diverse information to provide personalized and comfortable travel experiences for each user.

[0865] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0866] Step 1:

[0867] The user enters their destination and travel date and time using the terminal. Input methods include text input on the touchscreen and voice commands. This retrieves destination and time information, which is then temporarily stored in the terminal. The terminal formats this input as a data package, preparing it for subsequent processing.

[0868] Step 2:

[0869] The device activates its built-in camera and microphone to collect emotional data from the user's facial expressions and voice. Based on this data, an emotion analysis engine performs facial and voice analysis to identify the user's emotional state. For example, it recognizes smiles and anxious expressions from the user's face and classifies the emotion into categories such as "relaxed" or "stressed." The analysis results are output as digital data and converted into a format that can be sent to the server.

[0870] Step 3:

[0871] The terminal organizes destination information, time information, and sentiment data and sends it to the server. This data is encrypted using a security protocol before transmission. The transmitted data is then ready for processing on the server. The server receives input from the map database and real-time traffic information API and analyzes it, including the received sentiment data.

[0872] Step 4:

[0873] The server calculates travel routes and modes of transportation based on the received data. Specifically, it generates multiple routes using location and time information, and then determines the optimal solution by referring to emotional data. Here, data calculations are performed, such as prioritizing less congested routes to reduce stress. The resulting travel profile is reformatted for visual and auditory feedback to the user and sent to the terminal.

[0874] Step 5:

[0875] The terminal presents the user with a travel profile received from the server. Visual information is displayed on the terminal's screen, and voice guidance is provided through the speaker. For example, the terminal might say, "The suggested route is less crowded and has plenty of seats available." This output allows the user to make choices based on their emotional state during travel, completing the planning of a comfortable travel experience.

[0876] Step 6:

[0877] Even while traveling, the device continuously monitors the user's emotional state and notifies the server again if a new change in emotion is detected. The server then performs new data calculations and, if necessary, calculates and sends a new travel route to the device. In this way, the user can always have the optimal travel experience.

[0878] (Application Example 2)

[0879] 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".

[0880] Despite improvements in transportation convenience in recent years, the provision of personalized travel experiences that take into account the emotional state of users remains insufficient. As a result, many users experience stress and discomfort, making it difficult to provide a highly satisfying travel experience.

[0881] 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.

[0882] In this invention, the server includes means for analyzing the user's emotional state and adjusting the comfort level inside the vehicle, means for providing an audio and visual environment selected based on the user's emotions, and means for generating a travel route. This makes it possible to provide a personalized, comfortable, and stress-free travel experience for each user.

[0883] "Destination information" refers to detailed data about the place the user wants to go.

[0884] "Date and time information" refers to data indicating the date and time the user plans to travel.

[0885] A "travel route" refers to the optimized path from the starting point to the destination.

[0886] "Steps and gradients" refer to changes in height or slopes in terrain or the structure of a facility.

[0887] "Barrier-free" refers to designs and facilities that enhance accessibility for people with disabilities and the elderly.

[0888] "Public transportation" refers to organizations or companies that provide means of transportation that can be used by the general public.

[0889] A "ride-hailing service" refers to a service that arranges a vehicle according to the user's request.

[0890] "Weather conditions" refer to the state of the external environment, such as weather, temperature, and wind speed.

[0891] "User's emotional state" refers to the psychological or emotional state that the user is experiencing.

[0892] "In-vehicle comfort" refers to the degree of comfort and satisfaction that passengers feel inside the vehicle.

[0893] "Audio and visual environment" refers to the information space, such as sounds and images, provided to the user.

[0894] The system for realizing this invention analyzes the user's emotional state in real time and personalizes the travel experience to ensure the user's comfort. The terminal receives destination and date / time information from the user and uses an emotion engine to analyze emotions from facial expressions, voice, etc. This emotion data is sent to a server, which generates a travel route based on the received destination, date / time information, and emotion data.

[0895] The server considers steps and gradients in the generated travel route and searches for barrier-free routes. It also collects information on public transport and ride-hailing services to provide the most suitable mode of transportation. Furthermore, it dynamically recalculates the travel route in response to changes in weather conditions and notifies the user.

[0896] Based on the user's emotional state, the server adjusts the comfort level inside the vehicle and provides an appropriate audio and visual environment. This reduces stress during travel, allowing users to enjoy a comfortable and satisfying travel experience.

[0897] As a concrete example, when a user is feeling stressed, the device can sense that emotion, the server will play calming music, and suggest a scenic route. Furthermore, it will provide a function to assist in securing a reclining seat.

[0898] An example of a prompt to the generating AI model is, "Please suggest music and routes for the autonomous vehicle to reduce the stress the user experiences." By combining these functions, this system can provide an optimized travel experience for the user.

[0899] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0900] Step 1:

[0901] The terminal receives destination and date / time information from the user as input. This information is then sent to the server. At this stage, the input consists of the location and date / time the user wants to travel to, and this data is sent to the server as output.

[0902] Step 2:

[0903] The device uses an emotion engine to analyze the user's emotional state from their facial expressions and voice. The analyzed emotional data is sent to the server as output. This process involves real-time voice and image analysis, and the server determines the user's emotional state based on the input data.

[0904] Step 3:

[0905] The server processes the received destination information, date and time information, and sentiment data to generate a travel route. It receives this data as input and calculates the optimal travel route while referencing map data. The output is a personalized travel route.

[0906] Step 4:

[0907] The server searches for barrier-free routes based on the generated travel path, taking into account steps and gradients. This process receives the travel path as input, compares it with a public database, and calculates an obstacle-free route. The output is barrier-free route information.

[0908] Step 5:

[0909] The server collects information on public transport and ride-hailing services in real time and processes the data to provide the most suitable mode of transportation. Based on the latest timetables and vehicle information, it recommends available options. The input is traffic information data, and the output is a suggestion of the most suitable mode of transportation.

[0910] Step 6:

[0911] The server uses a weather API to dynamically recalculate travel routes in response to changes in weather conditions and notifies the user. Since it references weather data, the input is weather data, and the output is the updated, safe travel route.

[0912] Step 7:

[0913] The server performs data calculations to adjust the comfort level inside the vehicle based on the user's emotional state. It adjusts sound, lighting, and other elements according to the user's emotions. In this process, it sends output to the sound and lighting systems based on the input emotional data.

[0914] Step 8:

[0915] The server processes data and selects music and video content to provide an audio and visual environment based on the user's emotions. The input is the emotional state and available media data, and the output is the selected content.

[0916] Step 9:

[0917] The server notifies the user based on the selected travel route and adjusted comfort level, and generates a prompt message. This prompt message includes music and route suggestions to reduce the user's stress. A generative AI model is used to generate the text presented to the user.

[0918] 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.

[0919] 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.

[0920] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0921] 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.

[0922] 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.

[0923] 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.

[0924] 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).

[0925] 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.

[0926] 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."

[0927] 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.

[0928] 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.

[0929] 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.

[0930] 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.

[0931] 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.

[0932] 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.

[0933] 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.

[0934] 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.

[0935] 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.

[0936] 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.

[0937] 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.

[0938] 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.

[0939] The following is further disclosed regarding the embodiments described above.

[0940] (Claim 1)

[0941] A means for generating a travel route based on destination information and date / time information received from the user,

[0942] A means for searching for a barrier-free route considering steps and gradients along the travel path,

[0943] A means of collecting information on public transportation and ride-hailing services and providing the most suitable means of transportation,

[0944] A means of automating transportation and store reservations based on travel plans,

[0945] A system that includes means for dynamically recalculating travel routes in response to changes in weather conditions and notifying users of these changes.

[0946] (Claim 2)

[0947] The system according to claim 1, characterized by comprising a control means that enables priority use in conjunction with an elevator management system.

[0948] (Claim 3)

[0949] The system according to claim 1, characterized by comprising means for searching for and reserving barrier-free stores that match the user's conditions.

[0950] "Example 1"

[0951] (Claim 1)

[0952] A means for generating a travel route based on destination information and date / time information received from the user,

[0953] A means for searching for a barrier-free route considering steps and gradients along the travel path,

[0954] A means of collecting information on public transportation and providing the most suitable means of travel,

[0955] A means of automating transportation and facility reservations based on travel plans,

[0956] A means of dynamically recalculating travel routes in response to changes in weather and traffic conditions and notifying users accordingly,

[0957] A means of presenting the user with suggested content related to the generated travel route,

[0958] A means of confirming a reservation based on a travel plan approved by the user,

[0959] A system that includes this.

[0960] (Claim 2)

[0961] The system according to claim 1, characterized by comprising a control means that enables priority use in conjunction with a vertical movement equipment management system.

[0962] (Claim 3)

[0963] The system according to claim 1, characterized by comprising means for searching for and reserving barrier-free facilities that match the user's conditions.

[0964] "Application Example 1"

[0965] (Claim 1)

[0966] A means for generating a travel route based on destination information and date / time information received from the user,

[0967] A means for searching for a barrier-free route considering steps and gradients along the travel path,

[0968] A means of collecting information on public transport and mobility services and providing the most suitable means of transportation,

[0969] A means to automate public transport and store reservations based on travel plans,

[0970] A means of dynamically recalculating the travel route in response to changes in weather conditions and notifying the user,

[0971] A visualization method for optimizing travel plans in real time and displaying them on the user's device,

[0972] A system that includes a means of providing assistance to customers upon arrival at their destination using their smart devices.

[0973] (Claim 2)

[0974] The system according to claim 1, characterized by comprising a control means that enables priority use in conjunction with an elevator management system.

[0975] (Claim 3)

[0976] The system according to claim 1, characterized by comprising means for searching for and reserving barrier-free stores that match the user's conditions.

[0977] "Example 2 of combining an emotion engine"

[0978] (Claim 1)

[0979] A means for generating a travel route based on location and time information received from the user,

[0980] A means for searching for an obstacle-free route considering the topographic features of the travel route,

[0981] A means of collecting information on transportation and mobility services and providing the optimal means of transportation,

[0982] A means for recognizing the user's emotional state and selecting a travel route and means of transportation based on that information,

[0983] A means of continuously monitoring the emotional state, dynamically recalculating the travel path in response to changes, and notifying the user,

[0984] A means to automate facility reservations based on travel plans,

[0985] A system that includes means for dynamically recalculating travel routes in response to changes in weather conditions and notifying users of these changes.

[0986] (Claim 2)

[0987] The system according to claim 1, characterized by comprising emotion analysis means for detecting and analyzing the emotional state of a user in real time.

[0988] (Claim 3)

[0989] The system according to claim 1, characterized by comprising means for making suggestions to provide a relaxing travel environment based on the emotional state of the user.

[0990] "Application example 2 when combining with an emotional engine"

[0991] (Claim 1)

[0992] A means for generating a travel route based on destination information and date / time information received from the user,

[0993] A means for searching for a barrier-free route considering steps and gradients along the travel path,

[0994] A means of collecting information on public transportation and ride-hailing services and providing the most suitable means of transportation,

[0995] A means of automating the booking of transportation and facilities based on travel plans,

[0996] A means of dynamically recalculating the travel route in response to changes in weather conditions and notifying the user,

[0997] A means of analyzing the emotional state of users and adjusting the comfort level inside the vehicle,

[0998] Means for providing an audio and visual environment selected based on the user's emotions,

[0999] A system that includes this.

[1000] (Claim 2)

[1001] The system according to claim 1, comprising a control means that enables priority use in conjunction with an elevator management system.

[1002] (Claim 3)

[1003] The system according to claim 1, comprising means for searching for and reserving barrier-free facilities that match the user's requirements. [Explanation of symbols]

[1004] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for generating a travel route based on destination information and date / time information received from the user, A means for searching for a barrier-free route considering steps and gradients along the travel path, A means of collecting information on public transport and mobility services and providing the most suitable means of transportation, A means to automate public transport and store reservations based on travel plans, A means of dynamically recalculating the travel route in response to changes in weather conditions and notifying the user, A visualization method for optimizing travel plans in real time and displaying them on the user's device, A system that includes a means of providing assistance to customers upon arrival at their destination using their smart devices.

2. The system according to claim 1, characterized by comprising a control means that enables priority use in conjunction with an elevator management system.

3. The system according to claim 1, characterized by comprising means for searching for and reserving barrier-free stores that match the user's conditions.

Images