System

Abstract

A system is provided.SOLUTION: The system includes a means for a user to input a symptom and a transportation means, a means for searching a hospital based on the inputted symptom and transportation means, a means for displaying optimum hospital information as a search result to the user, and a means for providing a telephone number for reservation.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Finding an appropriate hospital and making an appointment when you're feeling unwell can be extremely difficult. Internet searches and phone inquiries can be even more of a burden, especially when symptoms such as fever or sore throat are present. This can prevent you from receiving appropriate medical care promptly, putting you at risk of worsening your condition. Furthermore, finding the best hospital for you requires collecting and comparing a lot of information, which takes time and effort. The present invention aims to solve these problems and provide a means for users to easily find an appropriate hospital and quickly make an appointment. [Means for solving the problem]

[0005] The present invention solves the above problems by the following means. It provides a means for a user to input symptoms and transportation methods, and a means for searching for hospitals based on the input symptoms and transportation methods. It also provides a means for displaying optimal hospital information to the user as a search result, and a means for displaying a telephone number for making an appointment. In particular, the system includes a means for automatically calling the telephone number for making an appointment displayed to the user, and a means for checking the hospital's reception hours and availability of specific tests (e.g., influenza, COVID-19) based on data input by the user, thereby enabling specific and efficient guidance to the medical institution desired by the user. This system allows users to quickly and easily find the optimal hospital and make an appointment, facilitating smooth use of medical institutions.

[0006] A "symptom" is a specific physical or mental abnormality that indicates a feeling of unwellness.

[0007] "Transportation" refers to the method or means by which a user accesses a hospital, and examples include walking, cycling, public transportation, etc.

[0008] A "hospital" is a medical facility that provides medical care to patients, and may have different medical specialties and treat different symptoms.

[0009] The "search means" is a part of the system that provides the function of searching a database for hospitals that meet the criteria based on the symptoms and transportation means entered by the user.

[0010] The "display means" is an interface for visually delivering hospital information obtained as a search result to the user.

[0011] "Phone Number" is a number combination used to directly contact the hospital.

[0012] The "means for automatically making a call" is a function that allows the system to automatically make a call to a telephone number based on a user's operation.

[0013] "Reception hours" refers to the time periods during which a hospital can provide medical treatment and accept patients.

[0014] "Availability of specific tests" is information that indicates whether a hospital has the capacity to perform specific medical tests, such as influenza tests or COVID-19 tests. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 11] FIG. 3 is a sequence diagram showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

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

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

[0018] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), and an APU (Accelerated Processing Unit).

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

[0020] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0021] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0022] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0023] [First embodiment]

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

[0025] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0026] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0027] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0028] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0029] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0030] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

[0032] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0033] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0034] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0035] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0036] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system consists of the following basic steps.

[0037] System Configuration

[0038] User's terminal

[0039] Users use devices that can connect to the Internet, such as smartphones or PCs. An interface is provided that allows users to input their symptoms and transportation methods. This interface is provided as a web application or mobile application.

[0040] server

[0041] The server receives information about symptoms and transportation methods sent by the user. Based on this information, it accesses a database and searches for hospitals that meet the criteria. The search results are formatted as information to be displayed to the user.

[0042] Program processing flow

[0043] Enter symptoms and transportation

[0044] Using a dedicated interface, users input their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling), which are then collected as input into a form.

[0045] Hospital search

[0046] Based on the information sent from the device to the server, the server searches the database for hospitals that meet the criteria, including the ability to check information such as the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza or COVID-19 tests.

[0047] Displaying hospital information

[0048] The server formats the search results to display the most suitable hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and telephone number, allowing the user to quickly find the most suitable hospital.

[0049] Providing a phone number for reservations

[0050] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[0051] Automatic telephone function (optional)

[0052] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[0053] Specific examples

[0054] Example 1: User complains of fever and sore throat

[0055] The user inputs the symptoms of "fever" and "sore throat" and the transportation method of "walking." The device sends this information to the server. The server searches its database for hospitals that accept patients with fever and lists those that are within walking distance. Information about the most suitable hospital and the phone number for making an appointment are displayed on the user's device. Using this information, the user can call the hospital and make an appointment.

[0056] Example 2: If the user suspects they have the flu

[0057] The user inputs the symptoms of "fever" and "joint pain" and the mode of transportation of "bicycle." The device sends this information to the server. The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information on the most suitable hospital and the phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment.

[0058] The system described above allows users to quickly and easily find an appropriate medical institution when they feel unwell, and is extremely useful, especially when a rapid response is required.

[0059] The processing flow will be explained below.

[0060] Step 1:

[0061] A user opens a dedicated web or mobile application from a smartphone or computer.

[0062] Step 2:

[0063] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form.

[0064] Step 3:

[0065] The device collects the entered symptoms and transportation information, converts it into JSON format, and sends it to the server.

[0066] Step 4:

[0067] The server receives the JSON formatted data sent from the terminal and parses it.

[0068] Step 5:

[0069] The server extracts "symptoms" and "means of transportation" from the analyzed data, and then searches the database for an appropriate hospital based on that information.

[0070] Step 6:

[0071] The server searches a hospital database and filters hospitals that meet the criteria, including their opening hours, whether they accept patients with fever, and whether they offer influenza and COVID-19 testing.

[0072] Step 7:

[0073] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that best suits the user.

[0074] Step 8:

[0075] The server sends the organized information to the terminal as an HTTP response.

[0076] Step 9:

[0077] The terminal analyzes the JSON formatted hospital information received from the server and displays it visually to the user.

[0078] Step 10:

[0079] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[0080] Step 11:

[0081] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[0082] Example 1

[0083] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0084] In the past, when users became ill, it was difficult for them to quickly find an appropriate hospital and make an appointment. In particular, to find a specialized medical institution that matches their symptoms, they had to search through multiple information sources, which was time-consuming and labor-intensive. In addition, there were cases where it was impossible to contact the hospital when making a phone appointment, which made it difficult to receive appropriate treatment quickly.

[0085] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0086] In this invention, the server includes means for the user to input symptoms and transportation means, means for transmitting the input symptoms and transportation means to the server, means for searching for hospital information from a database based on the information received by the server, means for displaying the most suitable hospital information to the user as a search result, and means for providing a telephone number for making an appointment. This allows the user to quickly and easily find an appropriate medical institution when they become ill, and makes it possible to smoothly make an appointment.

[0087] "User" refers to an individual who uses the system to search for hospitals and make appointments.

[0088] "Symptoms" refers to information about the ailments or health problems a user is experiencing.

[0089] "Transportation" refers to the transportation or travel method used by the user to go to the hospital.

[0090] "Server" refers to a computer system that receives and analyzes information sent by users, and searches for and provides hospital information.

[0091] A "database" refers to a collection of information that stores hospital information and information on medical institutions corresponding to symptoms.

[0092] "Hospital information" refers to information such as the hospital's name, location, reception hours, and telephone number.

[0093] "Telephone number for appointment" refers to the contact number that a user uses to make an appointment with a hospital.

[0094] "Means for automatically making a call" refers to a function that allows the system to automatically call the reservation phone number when the user performs a specific operation.

[0095] "Reception hours" refers to the hours during which a hospital accepts patients for treatment.

[0096] "Specific test" refers to a medical test designed to diagnose a specific condition or disease, such as influenza or COVID-19.

[0097] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system of the present invention comprises a means for the user to input symptoms and transportation options, a means for transmitting the input information to a server, and a means for searching for hospitals based on the received information and providing the user with information on the most suitable hospital.

[0098] Hardware and Software

[0099] Users use a device with an internet connection, such as a smartphone or PC. This device uses an interface provided as a web or mobile application to input symptoms and transportation methods. Specific software includes HTML, CSS, and JavaScript (registered trademark) for the front end, and Python or Node.js for the back end. MySQL (registered trademark) or PostgreSQL is used as the database.

[0100] Program processing

[0101] 1. Enter your symptoms and transportation options

[0102] Users access the web application from their smartphone or PC and enter their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling). The device collects and formats this information.

[0103] 2. Sending data to the server

[0104] The device sends the collected information to the server as an HTTP POST request, and the server receives and analyzes the information.

[0105] 3. Search for hospitals from the database

[0106] The server generates a database query based on the information it receives to find hospitals that meet the criteria, including their opening hours and whether they offer specific tests (such as flu or COVID-19 tests).

[0107] 4. Formatting and displaying hospital information

[0108] The server selects the most appropriate hospital information from the search results and formats it in a user-friendly format, including the hospital's name, address, opening hours, and phone number. The terminal displays this information to the user.

[0109] 5. Provision of telephone number for reservations and automated calling function

[0110] The hospital information displayed to the user also includes a phone number for appointments, which the user can call directly to schedule an appointment. Optionally, the system can also use APIs such as Twilio to automatically make phone calls.

[0111] Specific examples

[0112] Example 1: If you have a fever and sore throat

[0113] The user opens the web application, selects the symptoms "fever" and "sore throat," and selects "walking" as the transportation method. The device converts this information into JSON format and sends it to the server. The server searches the database for a corresponding hospital and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0114] (Example of a prompt for a generative AI model)

[0115] "I have a fever and sore throat and am looking for a hospital within walking distance. Please generate a list of hospitals that meet my criteria."

[0116] Example 2: If you suspect you have influenza

[0117] A user opens a web application, selects the symptoms "fever" and "joint pain," and selects the transportation method "bicycle." The device converts this information into JSON format and sends it to the server. The server searches the database for hospitals that offer influenza tests and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0118] (Example of a prompt for a generative AI model)

[0119] "I have a fever and joint pain and am looking for a hospital that offers flu testing and is within cycling distance. Please generate a list of hospitals that meet my criteria."

[0120] This system allows users to quickly and easily find an appropriate medical institution when they feel unwell, and also allows them to smoothly make an appointment.

[0121] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0122] Step 1:

[0123] The user accesses a web or mobile application using a smartphone or PC. The user inputs their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The device collects this information as an input form and converts it into the required format.

[0124] Input: Symptoms and transportation information

[0125] Output: Well-formed user-entered data

[0126] Specifically, a user enters "fever," "sore throat," and "walk" into a form on a web page, and JavaScript validates the user input in real time and formats it appropriately.

[0127] Step 2:

[0128] The terminal sends the formatted user input data to the server as an HTTP POST request, and the server analyzes the received information and generates the necessary search criteria.

[0129] Input: Well-formed user-entered data (symptoms and transportation)

[0130] Output: Search criteria

[0131] Specifically, JavaScript converts the data into JSON format and sends it to the server using an AJAX request, where the request data is received and parsed using, for example, the Python Flask framework.

[0132] Step 3:

[0133] The server generates a database query based on the analyzed search criteria and searches the database for hospital information. The server then checks the reception hours, availability of specific tests, and other information for hospitals that match the criteria.

[0134] Input: Search criteria

[0135] Output: Search results (matching hospital information)

[0136] Specifically, it generates SQL queries and executes them against databases such as MySQL or PostgreSQL, for example, "SELECT FROM hospitals WHERE symptom='fever' AND transport='walking' AND covid_test_available=true;".

[0137] Step 4:

[0138] The server converts the hospital information obtained as search results into JSON format, formatting it in a format that is easy for the user to understand. The terminal displays this information to the user.

[0139] Input: Search results (matching hospital information)

[0140] Output: Well-formatted hospital information data

[0141] Specifically, the server generates a JSON response containing the hospital name, address, reception hours, and phone number, and sends it to the terminal. The terminal receives this JSON data, embeds it in an HTML template, and displays it on the screen.

[0142] Step 5:

[0143] The terminal provides the displayed hospital information along with a telephone number for making an appointment, which the user can use to call the hospital directly to make an appointment.

[0144] Input: Well-formed hospital information data

[0145] Output: Hospital information and phone number displayed on the screen

[0146] Specifically, a "Call to Make an Appointment" button appears on the screen, and when the user clicks it, the default phone app launches and a phone number is set, allowing the user to call the hospital simply by pressing the button.

[0147] Step 6 (optional):

[0148] The terminal uses the server's automatic call function, allowing the user to automatically call the reservation phone number simply by pressing a button.

[0149] Input: User button presses

[0150] Output: Automatically dialed phone number

[0151] Specifically, the server will automatically make phone calls using external APIs such as Twilio, making it easier for users to make reservations.

[0152] (Application example 1)

[0153] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0154] Traditional food delivery services have faced challenges in finding the perfect meal for users, taking into account allergies and dietary restrictions. They also face challenges in quickly processing orders and efficiently fulfilling them. In particular, it can take a long time for users to find the right restaurant or dish based on their specific health conditions or dietary restrictions.

[0155] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0156] In this invention, the server includes a means for a user to input information based on conditions, a means for searching for a destination based on the input conditions, and a means for displaying optimal information to the user as a search result. This allows the user to quickly find restaurants and dishes that meet conditions such as allergies and dietary restrictions. It also allows for the order to be fulfilled quickly.

[0157] A "user" is an individual or organization that uses this system and is the entity that inputs information based on specific conditions.

[0158] "Conditions" refers to information entered by the user, and is a general term for information including allergy information, dietary restrictions, location information, and the like.

[0159] "Information" refers to the conditions entered by the user and the content obtained as search results, specifically restaurant information, details of dishes, and the like.

[0160] "Input means" refers to the interface or device that the user uses to input conditions, and specifically refers to a smartphone application or web form.

[0161] "Search means" refers to a function that searches for the most appropriate information based on input conditions, and includes database search and algorithmic matching functions.

[0162] "Display means" refers to a device or interface for providing the user with the information obtained as a search result, such as the screen display of a smartphone or computer.

[0163] "Contact Method" refers to the means provided for reservations and orders, and specifically includes telephone numbers, email addresses, automated contact functions, etc.

[0164] This invention is a system that allows a user to input conditions such as allergies or dietary restrictions, find the most suitable restaurant or dish based on the input, and quickly place an order. Detailed embodiments of the invention are described below.

[0165] System Configuration

[0166] This system is configured to search for information based on conditions entered by the user and provide the results. The system is mainly composed of the following elements.

[0167] User's terminal

[0168] Users use devices that can connect to the Internet, such as smartphones or PCs. They can use an interface to input conditions (e.g., allergy information, dietary restrictions, location information). This interface is provided as a mobile application or a web application.

[0169] server

[0170] The server receives the user's search criteria and searches the database for the most suitable restaurant or food based on the information. The search results are formatted for display to the user and then sent back to the user's device.

[0171] Program processing flow

[0172] Entering conditions

[0173] Using a dedicated interface, users enter information such as allergy information, dietary restrictions, and current location, which is collected as input into a form.

[0174] search

[0175] Based on the information sent from the device to the server, the server searches its database for restaurants and dishes that meet the criteria, including whether the restaurant caters to allergies, whether it has a vegan menu, and location information.

[0176] Displaying Information

[0177] The server formats the search results and displays them to the user, including the restaurant's name, address, details of the food served, and contact information for ordering, allowing the user to quickly make the best choice.

[0178] Hardware and Software

[0179] Hardware

[0180] The server can be a cloud-based system (e.g., AWS (registered trademark)). The user's device can be a smartphone (iOS / ANDROID (registered trademark)) or a PC.

[0181] software

[0182] The system is built on the server side using Python and Flask, uses SQLite as the database, and the user interface is provided as a mobile or web application.

[0183] Specific examples

[0184] Example 1

[0185] When a user enters the criteria "gluten-free," "vegan," and "Shinjuku," the server searches the database based on these criteria and lists appropriate restaurants and dishes, from which the user can select and complete their order.

[0186] Prompt Sentence Examples

[0187] Enter your allergy information, dietary restrictions, and location.

[0188] Examples: "Gluten-free," "Vegan," "Shinjuku"

[0189] In this way, the system helps users quickly find suitable restaurants and cuisines based on specific criteria, and also ensures fast order fulfillment.

[0190] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0191] Step 1:

[0192] Users enter information such as allergies, dietary restrictions, and current location information through a smartphone or PC application. This information is collected as input data using a dedicated form.

[0193] Input: Allergy information (e.g. gluten-free), dietary restrictions (e.g. vegan), location information (e.g. Shinjuku)

[0194] Output: JSON format data of condition information

[0195] Step 2:

[0196] The device sends the condition information collected from the user to the server. At this time, the data is sent using a secure communication protocol (e.g., HTTPS).

[0197] Input: JSON format data of condition information

[0198] Output: Condition information sent to the server

[0199] Step 3:

[0200] The server searches a database based on the received criteria information. The database includes information such as whether the restaurant caters to allergies and dietary restrictions, location information, etc. The server generates a search query and retrieves information on the most suitable restaurants and dishes.

[0201] Input: Condition information sent to the server

[0202] Data processing: Generate and execute SQL queries based on condition information

[0203] Output: Best restaurant and food information

[0204] Step 4:

[0205] The server formats the restaurant and food information obtained as search results, generates data to display to the user, and transmits the data to the user's terminal.

[0206] Input: Best restaurant and food information

[0207] Data processing: Formatting the data to display to the user

[0208] Output: Data for display

[0209] Step 5:

[0210] The terminal displays the search results to the user based on the display data received from the server, and the user can then select the most suitable restaurant from the presented restaurant information and dishes.

[0211] Input: Data to be displayed

[0212] Output: Restaurant and food information displayed to the user.

[0213] Step 6:

[0214] The user selects a restaurant and a dish from the displayed list and confirms the order. The confirmed order information is sent back to the server.

[0215] Input: Order information selected by the user

[0216] Output: Order information sent to the server

[0217] Step 7:

[0218] The server processes the received order information, transmits the order to the selected restaurant or delivery service, monitors the status of the order fulfillment, and notifies the user as needed.

[0219] Input: Order information sent to the server

[0220] Data processing: Confirmation of order details and delivery arrangements

[0221] Output: Order fulfillment status information

[0222] Through these processing steps, users can quickly find restaurants and dishes that meet their specific requirements and complete their orders. This system provides a smooth ordering experience even when taking into account allergies and dietary restrictions.

[0223] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0224] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing it to respond according to the user's psychological state. Below, we will explain how this system is specifically implemented.

[0225] System Configuration

[0226] User's terminal

[0227] Users use a device with an internet connection, such as a smartphone or PC. An interface is provided where users can input their symptoms and transportation options. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[0228] server

[0229] The server receives the symptom and transportation information sent by the user, as well as the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted as information to be displayed to the user.

[0230] Emotion Engine

[0231] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[0232] Program processing flow

[0233] Enter symptoms and transportation

[0234] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. This information is collected as input into the form. At the same time, the user's voice and facial expressions are captured by the camera and microphone and analyzed by the emotion engine.

[0235] Emotion recognition by emotion engine

[0236] The device sends the user's voice and facial expression data to the emotion engine, which analyzes the data and recognizes the user's current emotion (e.g., stress, anxiety, relief). This emotion recognition information is then sent to the server.

[0237] Hospital search

[0238] Based on the symptoms, transportation information, and emotion recognition information sent from the device to the server, the server searches a database for hospitals that meet the criteria, including the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[0239] Displaying hospital information

[0240] The server formats the search results to display the most relevant hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and phone number. It may also display special messages or advice depending on the user's emotional state.

[0241] Providing a phone number for reservations

[0242] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[0243] Automatic telephone function (optional)

[0244] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[0245] Specific examples

[0246] Example 1: User complains of fever and sore throat

[0247] The user inputs their symptoms of "fever" and "sore throat," as well as their preferred method of transportation, "walking." The device sends this information to the server. At the same time, an emotion engine that analyzes the user's facial expressions and voice recognizes "anxiety." The server then searches its database for hospitals that accept patients with fever, and lists those within walking distance. Information about the most suitable hospital and a phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice based on the data is also displayed.

[0248] Example 2: When a user suspects they have the flu and is under stress

[0249] The user inputs their symptoms of "fever" and "joint pain," and their mode of transportation, "bicycle." The device sends this information to the server. At the same time, the emotion engine analyzes the data and recognizes that the user is feeling "stressed." The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information about the most suitable hospital and the phone number for making an appointment is displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice on how to relax and information about waiting times at the medical institution are also displayed.

[0250] This system allows users to quickly and easily find the most suitable medical institution even when they are unwell. It also provides support according to the user's emotional state, reducing the psychological burden. This system is extremely useful, especially when a quick response and psychological support are required.

[0251] The processing flow will be explained below.

[0252] Step 1:

[0253] A user opens a dedicated web or mobile application from a smartphone or computer.

[0254] Step 2:

[0255] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. At the same time, the user's voice and facial expressions are captured by the camera and microphone.

[0256] Step 3:

[0257] The device collects the inputted information on symptoms and transportation, converts it into JSON format, and sends it to the server, along with voice and facial expression data, which are then sent to the emotion engine.

[0258] Step 4:

[0259] The server receives the JSON format data sent from the device, analyzes it, and extracts "symptoms" and "means of transportation" from the analyzed data.

[0260] Step 5:

[0261] The emotion engine analyzes voice and facial expression data to recognize the user's emotions (e.g., stress, anxiety, relief), and sends this information to the server.

[0262] Step 6:

[0263] The server searches the database for hospitals that meet the criteria based on the symptoms and transportation information analyzed by the server, as well as emotional information from the emotion engine. The search also takes into account the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[0264] Step 7:

[0265] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that is most suitable for the user. Messages and advice based on emotional information are also added.

[0266] Step 8:

[0267] The server sends the organized information to the terminal as an HTTP response.

[0268] Step 9:

[0269] The device parses the JSON formatted hospital information received from the server and visually displays it to the user, including the hospital name, address, opening hours, phone number, and emotional advice.

[0270] Step 10:

[0271] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[0272] Step 11:

[0273] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[0274] This process allows users to quickly and easily find an appropriate medical institution and also receive support that suits their feelings.

[0275] Example 2

[0276] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0277] Conventional technologies make it difficult for users to easily find a medical institution suited to their symptoms, and the appointment process is also complicated. Furthermore, in emergency situations, users face a significant psychological burden, requiring a prompt and appropriate response. The present invention solves these problems by providing a system that enables users to quickly find an appropriate medical institution and easily make an appointment. Another objective of the present invention is to reduce the psychological burden by analyzing the user's emotional state and providing support accordingly.

[0278] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0279] In this invention, the server includes means for a user to input symptoms and transportation means, means for collecting the input symptoms and transportation means and recording the user's voice and facial expression using a camera and microphone, means for analyzing the recorded voice and facial expression data using an emotion engine to recognize the user's emotional state, means for searching for hospitals based on the recognized emotional state data and the symptoms and transportation data, means for displaying optimal hospital information to the user as search results and special messages and advice according to the user's emotional state, and means for providing a telephone number for making an appointment. This enables the user to quickly find an appropriate medical institution and make an appointment, and also allows the user to receive support according to their emotional state, thereby reducing psychological burden.

[0280] "Symptoms" refer to abnormal physical conditions experienced by the user, specifically physical conditions such as fever or sore throat.

[0281] "Transportation" refers to the method used by the user to access a medical institution, and includes transportation methods such as walking and cycling.

[0282] "Terminal" refers to a device operated by a user, and includes devices that can connect to the Internet, such as smartphones and personal computers.

[0283] "Emotion engine" refers to a system that analyzes the user's voice and facial expression data and recognizes the user's emotional state.

[0284] "Emotional state" refers to the psychological state of the user as recognized by the emotion engine, and specifically includes emotions such as stress, anxiety, and relief.

[0285] A "server" refers to a computer system that receives data sent by a user, processes it, and provides the necessary information.

[0286] A "database" refers to a system for systematically storing and managing large amounts of data, such as hospital information.

[0287] "Hospital information" refers to information about medical institutions, specifically including details such as the hospital's name, address, reception hours, telephone number, and whether or not it can handle tests.

[0288] The "telephone number for reservations" refers to the contact telephone number that the user uses to make a reservation at a medical institution.

[0289] The "automatic telephone function" refers to a function in which the terminal automatically calls the reservation telephone number when the user presses a button.

[0290] "Special messages and advice" refers to additional information or instructions provided depending on the user's emotional state, including, for example, information on relaxation techniques and waiting times.

[0291] This invention is a system that allows users to easily find an appropriate medical institution and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, and can respond according to the user's psychological state.

[0292] System Configuration

[0293] User's terminal

[0294] Users use devices with internet connectivity, such as smartphones or PCs. These devices are provided with an interface where they can input symptoms and transportation methods. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[0295] server

[0296] The server receives the symptom and transportation information sent by the user, and the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted for display to the user.

[0297] Emotion Engine

[0298] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[0299] Specific examples of program processing

[0300] Example 1: User complains of fever and sore throat

[0301] 1. The user logs into a smartphone application, enters "fever" and "sore throat," and selects "walking" as their mode of transportation.

[0302] 2. The device saves the input information and uses the camera and microphone to record and photograph voice and facial expressions. This data is then sent to the emotion engine.

[0303] 3. The emotion engine analyzes the voice and facial expression data to recognize "anxiety." The recognized information is sent to the server via the device.

[0304] 4. The server searches for an appropriate hospital from its database based on the received information on symptoms, transportation, and emotion recognition, and formats the information.

[0305] 5. The formatted information is displayed on the user's device, including the hospital's name, address, opening hours, phone number, and advice on how to alleviate anxiety.

[0306] 6. The user calls the hospital using the displayed phone number and makes an appointment.

[0307] Example prompt sentence:

[0308] "The user complains of a fever and sore throat and has chosen walking as their mode of transportation. Emotion recognition information indicates that the user is anxious. Please search for an appropriate hospital and provide the best hospital information and phone number for making an appointment."

[0309] Example 2: When a user suspects they have the flu and is under stress

[0310] 1. The user uses the application to input "fever" and "joint pain" and select "bicycle" as their mode of transportation.

[0311] 2. The device stores the input information and sends voice and facial expression data to the emotion engine.

[0312] 3. The emotion engine analyzes voice and facial expression data to recognize "stress." This information is sent to the server.

[0313] 4. Based on the information received, the server searches its database for hospitals that offer flu tests and are accessible by bicycle, and formats the information with advice on how to relax.

[0314] 5. The formatted information is displayed on the user's terminal.

[0315] 6. The user calls the hospital using the displayed phone number to make an appointment.

[0316] Example prompt sentence:

[0317] "The user suspects he has the flu and complains of fever and joint pain. He plans to use a bicycle as his means of transportation, and emotion recognition information indicates that he is feeling stressed. Please search for hospitals that offer flu tests and are accessible by bicycle, and provide the most suitable hospital information and phone number for making an appointment."

[0318] Hardware and software used

[0319] Hardware

[0320] User device: smartphone, PC

[0321] Input devices: camera, microphone

[0322] software

[0323] User Interface: Web applications, mobile applications

[0324] Emotion Engine: Voice and facial recognition software

[0325] Server system: Database management system, search algorithm

[0326] This system allows users to quickly and easily find an appropriate medical institution and make a reservation while reducing the psychological burden.

[0327] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0328] Step 1: User enters symptoms and transportation options

[0329] Users log in to a smartphone or PC application and enter their symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The specific input interface is a web form or a mobile input screen.

[0330] Input: Symptom information, transportation information

[0331] Output: The entered symptoms and transportation information will be saved on the device.

[0332] Step 2: Collect emotion recognition data

[0333] The device stores the information entered by the user, while simultaneously using the camera and microphone to collect the user's voice and facial expression data, which happens in the background and is ready for real-time data analysis.

[0334] Input: Audio and facial expression data from camera and microphone

[0335] Output: Voice data, facial expression data

[0336] Step 3: Emotion analysis using the emotion engine

[0337] The terminal transmits the collected voice and facial expression data to the emotion engine.

[0338] The emotion engine analyzes voice and facial expression data to recognize the user's emotional state (e.g., stress, anxiety, relief). The emotion engine performs analysis using machine learning models and AI technology.

[0339] Input: Voice data, facial expression data

[0340] Output: Emotion recognition information

[0341] Step 4: Send emotion recognition information and symptom information to the server

[0342] The terminal transmits the emotion recognition information, symptoms, and transportation information received from the emotion engine to the server.

[0343] Input: Emotion recognition information, symptom information, transportation information

[0344] Output: Data sent to the server

[0345] Step 5: Server searches for hospitals

[0346] The server receives the information sent from the device and searches the database for hospitals that meet the criteria, including the hospital's opening hours, whether it offers specific tests, and distance.

[0347] Input: Emotion recognition information, symptom information, transportation information

[0348] Data processing: Conditional filtering and ranking of searched hospitals

[0349] Output: List of hospitals that meet the criteria

[0350] Step 6: Format and submit hospital information

[0351] The server then formats the search results and compiles them into information to display to the user, including the hospital's name, address, opening hours, and phone number, along with special messages and advice based on the emotion recognition information.

[0352] Input: List of hospital information, emotion recognition information

[0353] Output: Formatted hospital information and appropriate advice

[0354] Step 7: View Hospital Information

[0355] The terminal receives the hospital information sent from the server and displays it to the user.

[0356] Input: Formatted hospital information

[0357] Output: Hospital information display screen

[0358] Step 8: Making a reservation

[0359] The user can make a reservation by calling the hospital directly using the reservation phone number displayed on the terminal, or by using the automated phone function if necessary.

[0360] Input: Phone number for reservation

[0361] Output: Appointment with hospital completed

[0362] This process allows users to quickly find an appropriate medical institution and easily make an appointment. It also helps reduce the psychological burden by providing special messages and advice based on emotion recognition.

[0363] (Application example 2)

[0364] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0365] With conventional systems, it was difficult for users to find an appropriate medical institution and quickly make an appointment when they became ill. Furthermore, the system did not respond to the user's psychological state, which increased the psychological burden. Furthermore, it took time and effort to find the appropriate medicines and products, making it difficult to provide prompt care to the user. There is a need to solve these problems.

[0366] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0367] In this invention, the server includes: a means for a user to input symptoms and transportation options; a means for searching for hospitals based on the input symptoms and transportation options; a means for detecting the user's voice and facial expression and recognizing their emotions; a means for suggesting appropriate medical institutions based on the recognized emotions; a means for displaying optimal hospital information to the user as search results; a means for providing a telephone number for making an appointment; a means for displaying optimal drug and product information to the user; and a means for providing special advice according to the user's emotional state. This allows the user to quickly find an appropriate medical institution and make an appointment, reducing psychological burden. Furthermore, the ability to easily find appropriate drugs and products enables prompt care.

[0368] "Symptom" refers to an abnormal physical or mental condition currently experienced by a user.

[0369] "Transportation" refers to the means used by the user to go to a medical institution (e.g., walking, car, bicycle, etc.).

[0370] "Search" refers to the act of finding the most suitable medical institution or product based on the conditions entered by the user.

[0371] "Emotion recognition" refers to the process of analyzing a user's voice and facial expressions to identify their psychological state.

[0372] "Medical institution" refers to a facility that provides medical services, such as a hospital, medical office, or clinic.

[0373] "Reservation" refers to the act of a user reserving a date and time in advance with a medical institution or pharmacy for an examination or to obtain a product.

[0374] "Telephone number" refers to the number used to contact a medical institution or pharmacy.

[0375] "Drug" means a medicine used to treat or alleviate a disease or symptom.

[0376] "Products" refers not only to pharmaceuticals but also to items related to maintaining or improving health (e.g., supplements, medical equipment, etc.).

[0377] "Advice" refers to advice or suggestions that correspond to the user's state or emotions.

[0378] The following describes in detail the embodiments of the present invention. This system uses devices such as smartphones, tablets, and PCs. Users use these devices to input information about their medical condition and transportation options and interact with the system's interface. The devices are also equipped with cameras and microphones for capturing voice and facial expressions.

[0379] The system consists of the following main components:

[0380] 1. User input:

[0381] Users input their symptoms (e.g., fever, headache) and mode of transportation (e.g., walking, car) through the application. The input interface is designed to be user-friendly, allowing users to provide information easily.

[0382] 2. Emotion recognition means:

[0383] This invention is equipped with an emotion engine for recognizing the user's emotions. Specifically, it uses the Emotion API of Microsoft® Azure® Cognitive Services to analyze the user's voice and facial expression data and recognize the user's emotional state (e.g., stress, anxiety). This data is sent to a server.

[0384] 3. Hospital search tools:

[0385] Based on the inputted symptoms and transportation information, as well as the emotion data obtained by the emotion recognition tool, the server searches the database for suitable hospitals, taking into account factors such as the hospital's opening hours and whether it offers certain tests.

[0386] 4. Search results display method:

[0387] The server then formats the search results and displays the most suitable hospital information on the user's device, including the hospital's name, address, opening hours, telephone number, and special messages and advice tailored to the user's psychological state.

[0388] 5. Reservation Method:

[0389] Users can easily access appointment phone numbers displayed in search results, and an optional auto-call feature allows users to automatically call the hospital with the touch of a button.

[0390] 6. Drug and product search methods:

[0391] In a more advanced form, a means is provided for searching for and displaying appropriate medicines and health-related products to the user according to the user's symptoms and emotional state.

[0392] 7. Means of Advice:

[0393] Providing tailored advice based on the user's emotional state. For example, if the user is feeling stressed, providing advice on how to relax or suggesting related products (e.g., herbal tea).

[0394] For example, if a user inputs the symptoms "fever" and "joint pain" and selects "bicycle" as their mode of transportation, the emotion engine will recognize that the user is feeling "stressed." Based on this information, the server will search for hospitals that offer influenza tests and list those that are accessible by bicycle. Information about the most suitable hospital will be displayed on the user's device, along with a phone number for making an appointment. Advice on how to reduce stress will also be displayed.

[0395] An example of a prompt is:

[0396] The user entered the symptoms "fever" and "joint pain" and selected the transportation method "bicycle." The emotion engine recognized the "stress" the user was feeling. Based on this information, generate an API request to suggest the best pharmacy and product for the user.

[0397] This system allows users to quickly and easily find the most suitable medical institution when they are unwell. It also provides support according to the user's emotional state, reducing psychological burden. Furthermore, it makes it easy to find necessary medicines and products, promoting prompt medical care for users.

[0398] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0399] Step 1:

[0400] The user accesses the application using a smartphone or tablet and enters their symptoms and mode of transportation. When the user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the input form, the information is temporarily stored on the device. The entered data is prepared for the next processing step.

[0401] Step 2:

[0402] The device captures the user's voice and facial expressions using a camera and microphone and sends them to the emotion engine. Specifically, it sends them to the Emotion API of Microsoft Azure Cognitive Services. The emotion engine analyzes the user's voice and facial expression data to identify the user's emotional state (e.g., stress, anxiety). The analyzed emotion recognition information is sent back to the device. This data is then sent to the server in the next step.

[0403] Step 3:

[0404] The device sends the user's inputted symptoms, transportation method, and emotion recognition information to the server. The server receives this data and checks it against a hospital database. Based on the analyzed data, the server searches for an appropriate medical institution, taking into account the hospital's acceptance status, reception hours, and whether it can handle specific tests. The search results are the output data for the next step.

[0405] Step 4:

[0406] The server then formats the search results and returns the most suitable hospital information to the user's device. This information includes the hospital's name, address, opening hours, phone number, etc. Special messages and advice based on the user's emotional state are also added. This information is then displayed on the user's device.

[0407] Step 5:

[0408] Based on the displayed information, the user can contact the medical institution using the reservation phone number. As an optional feature, the terminal offers an automatic phone call function. The user simply presses a button to automatically call the reservation phone number. This function allows the user to make reservations easily.

[0409] Step 6:

[0410] The server searches for the most suitable medicines and health-related products based on the user's symptoms and emotional state, and sends that information to the device. The user can then consider purchasing them at a pharmacy based on the displayed product information. This function allows users to quickly find the right medicines and supplements.

[0411] Step 7:

[0412] Special advice is provided depending on the user's emotional state. For example, if emotion recognition information indicates stress, the server will provide advice on how to relax and suggest related products, thereby reducing the user's psychological burden.

[0413] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0414] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0415] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0416] [Second embodiment]

[0417] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0418] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0419] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0420] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0421] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0422] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0423] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0424] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0425] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0426] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0427] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0428] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal."

[0429] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system consists of the following basic steps.

[0430] System Configuration

[0431] User's terminal

[0432] Users use devices that can connect to the Internet, such as smartphones or PCs. An interface is provided that allows users to input their symptoms and transportation methods. This interface is provided as a web application or mobile application.

[0433] server

[0434] The server receives information about symptoms and transportation methods sent by the user. Based on this information, it accesses a database and searches for hospitals that meet the criteria. The search results are formatted as information to be displayed to the user.

[0435] Program processing flow

[0436] Enter symptoms and transportation

[0437] Using a dedicated interface, users input their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling), which are then collected as input into a form.

[0438] Hospital search

[0439] Based on the information sent from the device to the server, the server searches the database for hospitals that meet the criteria, including the ability to check information such as the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza or COVID-19 tests.

[0440] Displaying hospital information

[0441] The server formats the search results to display the most suitable hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and telephone number, allowing the user to quickly find the most suitable hospital.

[0442] Providing a phone number for reservations

[0443] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[0444] Automatic telephone function (optional)

[0445] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[0446] Specific examples

[0447] Example 1: User complains of fever and sore throat

[0448] The user inputs the symptoms of "fever" and "sore throat" and the transportation method of "walking." The device sends this information to the server. The server searches its database for hospitals that accept patients with fever and lists those that are within walking distance. Information about the most suitable hospital and the phone number for making an appointment are displayed on the user's device. Using this information, the user can call the hospital and make an appointment.

[0449] Example 2: If the user suspects they have the flu

[0450] The user inputs the symptoms of "fever" and "joint pain" and the mode of transportation of "bicycle." The device sends this information to the server. The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information on the most suitable hospital and the phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment.

[0451] The system described above allows users to quickly and easily find an appropriate medical institution when they feel unwell, and is extremely useful, especially when a rapid response is required.

[0452] The processing flow will be explained below.

[0453] Step 1:

[0454] A user opens a dedicated web or mobile application from a smartphone or computer.

[0455] Step 2:

[0456] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form.

[0457] Step 3:

[0458] The device collects the entered symptoms and transportation information, converts it into JSON format, and sends it to the server.

[0459] Step 4:

[0460] The server receives the JSON formatted data sent from the terminal and parses it.

[0461] Step 5:

[0462] The server extracts "symptoms" and "means of transportation" from the analyzed data, and then searches the database for an appropriate hospital based on that information.

[0463] Step 6:

[0464] The server searches a hospital database and filters hospitals that meet the criteria, including their opening hours, whether they accept patients with fever, and whether they offer influenza and COVID-19 testing.

[0465] Step 7:

[0466] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that best suits the user.

[0467] Step 8:

[0468] The server sends the organized information to the terminal as an HTTP response.

[0469] Step 9:

[0470] The terminal analyzes the JSON formatted hospital information received from the server and displays it visually to the user.

[0471] Step 10:

[0472] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[0473] Step 11:

[0474] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[0475] Example 1

[0476] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0477] In the past, when users became ill, it was difficult for them to quickly find an appropriate hospital and make an appointment. In particular, to find a specialized medical institution that matches their symptoms, they had to search through multiple information sources, which was time-consuming and labor-intensive. In addition, there were cases where it was impossible to contact the hospital when making a phone appointment, which made it difficult to receive appropriate treatment quickly.

[0478] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0479] In this invention, the server includes means for the user to input symptoms and transportation means, means for transmitting the input symptoms and transportation means to the server, means for searching for hospital information from a database based on the information received by the server, means for displaying the most suitable hospital information to the user as a search result, and means for providing a telephone number for making an appointment. This allows the user to quickly and easily find an appropriate medical institution when they become ill, and makes it possible to smoothly make an appointment.

[0480] "User" refers to an individual who uses the system to search for hospitals and make appointments.

[0481] "Symptoms" refers to information about the ailments or health problems a user is experiencing.

[0482] "Transportation" refers to the transportation or travel method used by the user to go to the hospital.

[0483] "Server" refers to a computer system that receives and analyzes information sent by users, and searches for and provides hospital information.

[0484] A "database" refers to a collection of information that stores hospital information and information on medical institutions corresponding to symptoms.

[0485] "Hospital information" refers to information such as the hospital's name, location, reception hours, and telephone number.

[0486] "Telephone number for appointment" refers to the contact number that a user uses to make an appointment with a hospital.

[0487] "Means for automatically making a call" refers to a function that allows the system to automatically call the reservation phone number when the user performs a specific operation.

[0488] "Reception hours" refers to the hours during which a hospital accepts patients for treatment.

[0489] "Specific test" refers to a medical test designed to diagnose a specific condition or disease, such as influenza or COVID-19.

[0490] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system of the present invention comprises a means for the user to input symptoms and transportation options, a means for transmitting the input information to a server, and a means for searching for hospitals based on the received information and providing the user with information on the most suitable hospital.

[0491] Hardware and Software

[0492] Users use a device with an internet connection, such as a smartphone or PC. This device uses an interface provided as a web or mobile application to input symptoms and transportation methods. Specific software used is HTML, CSS, and JavaScript for the front end, Python or Node.js for the back end, and MySQL or PostgreSQL for the database.

[0493] Program processing

[0494] 1. Enter your symptoms and transportation options

[0495] Users access the web application from their smartphone or PC and enter their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling). The device collects and formats this information.

[0496] 2. Sending data to the server

[0497] The device sends the collected information to the server as an HTTP POST request, and the server receives and analyzes the information.

[0498] 3. Search for hospitals from the database

[0499] The server generates a database query based on the information it receives to find hospitals that meet the criteria, including their opening hours and whether they offer specific tests (such as flu or COVID-19 tests).

[0500] 4. Formatting and displaying hospital information

[0501] The server selects the most appropriate hospital information from the search results and formats it in a user-friendly format, including the hospital's name, address, opening hours, and phone number. The terminal displays this information to the user.

[0502] 5. Provision of telephone number for reservations and automated calling function

[0503] The hospital information displayed to the user also includes a phone number for appointments, which the user can call directly to schedule an appointment. Optionally, the system can also use APIs such as Twilio to automatically make phone calls.

[0504] Specific examples

[0505] Example 1: If you have a fever and sore throat

[0506] The user opens the web application, selects the symptoms "fever" and "sore throat," and selects "walking" as the transportation method. The device converts this information into JSON format and sends it to the server. The server searches the database for a corresponding hospital and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0507] (Example of a prompt for a generative AI model)

[0508] "I have a fever and sore throat and am looking for a hospital within walking distance. Please generate a list of hospitals that meet my criteria."

[0509] Example 2: If you suspect you have influenza

[0510] A user opens a web application, selects the symptoms "fever" and "joint pain," and selects the transportation method "bicycle." The device converts this information into JSON format and sends it to the server. The server searches the database for hospitals that offer influenza tests and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0511] (Example of a prompt for a generative AI model)

[0512] "I have a fever and joint pain and am looking for a hospital that offers flu testing and is within cycling distance. Please generate a list of hospitals that meet my criteria."

[0513] This system allows users to quickly and easily find an appropriate medical institution when they feel unwell, and also allows them to smoothly make an appointment.

[0514] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0515] Step 1:

[0516] The user accesses a web or mobile application using a smartphone or PC. The user inputs their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The device collects this information as an input form and converts it into the required format.

[0517] Input: Symptoms and transportation information

[0518] Output: Well-formed user-entered data

[0519] Specifically, a user enters "fever," "sore throat," and "walk" into a form on a web page, and JavaScript validates the user input in real time and formats it appropriately.

[0520] Step 2:

[0521] The terminal sends the formatted user input data to the server as an HTTP POST request, and the server analyzes the received information and generates the necessary search criteria.

[0522] Input: Well-formed user-entered data (symptoms and transportation)

[0523] Output: Search criteria

[0524] Specifically, JavaScript converts the data into JSON format and sends it to the server using an AJAX request, where the request data is received and parsed using, for example, the Python Flask framework.

[0525] Step 3:

[0526] The server generates a database query based on the analyzed search criteria and searches the database for hospital information. The server then checks the reception hours, availability of specific tests, and other information for hospitals that match the criteria.

[0527] Input: Search criteria

[0528] Output: Search results (matching hospital information)

[0529] Specifically, it generates SQL queries and executes them against databases such as MySQL or PostgreSQL, for example, "SELECT FROM hospitals WHERE symptom='fever' AND transport='walking' AND covid_test_available=true;".

[0530] Step 4:

[0531] The server converts the hospital information obtained as search results into JSON format, formatting it in a format that is easy for the user to understand. The terminal displays this information to the user.

[0532] Input: Search results (matching hospital information)

[0533] Output: Well-formatted hospital information data

[0534] Specifically, the server generates a JSON response containing the hospital name, address, reception hours, and phone number, and sends it to the terminal. The terminal receives this JSON data, embeds it in an HTML template, and displays it on the screen.

[0535] Step 5:

[0536] The terminal provides the displayed hospital information along with a telephone number for making an appointment, which the user can use to call the hospital directly to make an appointment.

[0537] Input: Well-formed hospital information data

[0538] Output: Hospital information and phone number displayed on the screen

[0539] Specifically, a "Call to Make an Appointment" button appears on the screen, and when the user clicks it, the default phone app launches and a phone number is set, allowing the user to call the hospital simply by pressing the button.

[0540] Step 6 (optional):

[0541] The terminal uses the server's automatic call function, allowing the user to automatically call the reservation phone number simply by pressing a button.

[0542] Input: User button presses

[0543] Output: Automatically dialed phone number

[0544] Specifically, the server will automatically make phone calls using external APIs such as Twilio, making it easier for users to make reservations.

[0545] (Application example 1)

[0546] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0547] Traditional food delivery services have faced challenges in finding the perfect meal for users, taking into account allergies and dietary restrictions. They also face challenges in quickly processing orders and efficiently fulfilling them. In particular, it can take a long time for users to find the right restaurant or dish based on their specific health conditions or dietary restrictions.

[0548] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0549] In this invention, the server includes a means for a user to input information based on conditions, a means for searching for a destination based on the input conditions, and a means for displaying optimal information to the user as a search result. This allows the user to quickly find restaurants and dishes that meet conditions such as allergies and dietary restrictions. It also allows for the order to be fulfilled quickly.

[0550] A "user" is an individual or organization that uses this system and is the entity that inputs information based on specific conditions.

[0551] "Conditions" refers to information entered by the user, and is a general term for information including allergy information, dietary restrictions, location information, and the like.

[0552] "Information" refers to the conditions entered by the user and the content obtained as search results, specifically restaurant information, details of dishes, and the like.

[0553] "Input means" refers to the interface or device that the user uses to input conditions, and specifically refers to a smartphone application or web form.

[0554] "Search means" refers to a function that searches for the most appropriate information based on input conditions, and includes database search and algorithmic matching functions.

[0555] "Display means" refers to a device or interface for providing the user with the information obtained as a search result, such as the screen display of a smartphone or computer.

[0556] "Contact Method" refers to the means provided for reservations and orders, and specifically includes telephone numbers, email addresses, automated contact functions, etc.

[0557] This invention is a system that allows a user to input conditions such as allergies or dietary restrictions, find the most suitable restaurant or dish based on the input, and quickly place an order. Detailed embodiments of the invention are described below.

[0558] System Configuration

[0559] This system is configured to search for information based on conditions entered by the user and provide the results. The system is mainly composed of the following elements.

[0560] User's terminal

[0561] Users use devices that can connect to the Internet, such as smartphones or PCs. They can use an interface to input conditions (e.g., allergy information, dietary restrictions, location information). This interface is provided as a mobile application or a web application.

[0562] server

[0563] The server receives the user's search criteria and searches the database for the most suitable restaurant or food based on the information. The search results are formatted for display to the user and then sent back to the user's device.

[0564] Program processing flow

[0565] Entering conditions

[0566] Using a dedicated interface, users enter information such as allergy information, dietary restrictions, and current location, which is collected as input into a form.

[0567] search

[0568] Based on the information sent from the device to the server, the server searches its database for restaurants and dishes that meet the criteria, including whether the restaurant caters to allergies, whether it has a vegan menu, and location information.

[0569] Displaying Information

[0570] The server formats the search results and displays them to the user, including the restaurant's name, address, details of the food served, and contact information for ordering, allowing the user to quickly make the best choice.

[0571] Hardware and Software

[0572] Hardware

[0573] The server can be a cloud-based system (e.g., AWS), and the user's device can be a smartphone (iOS / Android) or a PC.

[0574] software

[0575] The system is built on the server side using Python and Flask, uses SQLite as the database, and the user interface is provided as a mobile or web application.

[0576] Specific examples

[0577] Example 1

[0578] When a user enters the criteria "gluten-free," "vegan," and "Shinjuku," the server searches the database based on these criteria and lists appropriate restaurants and dishes, from which the user can select and complete their order.

[0579] Prompt Sentence Examples

[0580] Enter your allergy information, dietary restrictions, and location.

[0581] Examples: "Gluten-free," "Vegan," "Shinjuku"

[0582] In this way, the system helps users quickly find suitable restaurants and cuisines based on specific criteria, and also ensures fast order fulfillment.

[0583] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0584] Step 1:

[0585] Users enter information such as allergies, dietary restrictions, and current location information through a smartphone or PC application. This information is collected as input data using a dedicated form.

[0586] Input: Allergy information (e.g. gluten-free), dietary restrictions (e.g. vegan), location information (e.g. Shinjuku)

[0587] Output: JSON format data of condition information

[0588] Step 2:

[0589] The device sends the condition information collected from the user to the server. At this time, the data is sent using a secure communication protocol (e.g., HTTPS).

[0590] Input: JSON format data of condition information

[0591] Output: Condition information sent to the server

[0592] Step 3:

[0593] The server searches a database based on the received criteria information. The database includes information such as whether the restaurant caters to allergies and dietary restrictions, location information, etc. The server generates a search query and retrieves information on the most suitable restaurants and dishes.

[0594] Input: Condition information sent to the server

[0595] Data processing: Generate and execute SQL queries based on condition information

[0596] Output: Best restaurant and food information

[0597] Step 4:

[0598] The server formats the restaurant and food information obtained as search results, generates data to display to the user, and transmits the data to the user's terminal.

[0599] Input: Best restaurant and food information

[0600] Data processing: Formatting the data to display to the user

[0601] Output: Data for display

[0602] Step 5:

[0603] The terminal displays the search results to the user based on the display data received from the server, and the user can then select the most suitable restaurant from the presented restaurant information and dishes.

[0604] Input: Data to be displayed

[0605] Output: Restaurant and food information displayed to the user.

[0606] Step 6:

[0607] The user selects a restaurant and a dish from the displayed list and confirms the order. The confirmed order information is sent back to the server.

[0608] Input: Order information selected by the user

[0609] Output: Order information sent to the server

[0610] Step 7:

[0611] The server processes the received order information, transmits the order to the selected restaurant or delivery service, monitors the status of the order fulfillment, and notifies the user as needed.

[0612] Input: Order information sent to the server

[0613] Data processing: Confirmation of order details and delivery arrangements

[0614] Output: Order fulfillment status information

[0615] Through these processing steps, users can quickly find restaurants and dishes that meet their specific requirements and complete their orders. This system provides a smooth ordering experience even when taking into account allergies and dietary restrictions.

[0616] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0617] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing it to respond according to the user's psychological state. Below, we will explain how this system is specifically implemented.

[0618] System Configuration

[0619] User's terminal

[0620] Users use a device with an internet connection, such as a smartphone or PC. An interface is provided where users can input their symptoms and transportation options. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[0621] server

[0622] The server receives the symptom and transportation information sent by the user, as well as the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted as information to be displayed to the user.

[0623] Emotion Engine

[0624] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[0625] Program processing flow

[0626] Enter symptoms and transportation

[0627] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. This information is collected as input into the form. At the same time, the user's voice and facial expressions are captured by the camera and microphone and analyzed by the emotion engine.

[0628] Emotion recognition by emotion engine

[0629] The device sends the user's voice and facial expression data to the emotion engine, which analyzes the data and recognizes the user's current emotion (e.g., stress, anxiety, relief). This emotion recognition information is then sent to the server.

[0630] Hospital search

[0631] Based on the symptoms, transportation information, and emotion recognition information sent from the device to the server, the server searches a database for hospitals that meet the criteria, including the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[0632] Displaying hospital information

[0633] The server formats the search results to display the most relevant hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and phone number. It may also display special messages or advice depending on the user's emotional state.

[0634] Providing a phone number for reservations

[0635] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[0636] Automatic telephone function (optional)

[0637] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[0638] Specific examples

[0639] Example 1: User complains of fever and sore throat

[0640] The user inputs their symptoms of "fever" and "sore throat," as well as their preferred method of transportation, "walking." The device sends this information to the server. At the same time, an emotion engine that analyzes the user's facial expressions and voice recognizes "anxiety." The server then searches its database for hospitals that accept patients with fever, and lists those within walking distance. Information about the most suitable hospital and a phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice based on the data is also displayed.

[0641] Example 2: When a user suspects they have the flu and is under stress

[0642] The user inputs their symptoms of "fever" and "joint pain," and their mode of transportation, "bicycle." The device sends this information to the server. At the same time, the emotion engine analyzes the data and recognizes that the user is feeling "stressed." The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information about the most suitable hospital and the phone number for making an appointment is displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice on how to relax and information about waiting times at the medical institution are also displayed.

[0643] This system allows users to quickly and easily find the most suitable medical institution even when they are unwell. It also provides support according to the user's emotional state, reducing the psychological burden. This system is extremely useful, especially when a quick response and psychological support are required.

[0644] The processing flow will be explained below.

[0645] Step 1:

[0646] A user opens a dedicated web or mobile application from a smartphone or computer.

[0647] Step 2:

[0648] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. At the same time, the user's voice and facial expressions are captured by the camera and microphone.

[0649] Step 3:

[0650] The device collects the inputted information on symptoms and transportation, converts it into JSON format, and sends it to the server, along with voice and facial expression data, which are then sent to the emotion engine.

[0651] Step 4:

[0652] The server receives the JSON format data sent from the device, analyzes it, and extracts "symptoms" and "means of transportation" from the analyzed data.

[0653] Step 5:

[0654] The emotion engine analyzes voice and facial expression data to recognize the user's emotions (e.g., stress, anxiety, relief), and sends this information to the server.

[0655] Step 6:

[0656] The server searches the database for hospitals that meet the criteria based on the symptoms and transportation information analyzed by the server, as well as emotional information from the emotion engine. The search also takes into account the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[0657] Step 7:

[0658] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that is most suitable for the user. Messages and advice based on emotional information are also added.

[0659] Step 8:

[0660] The server sends the organized information to the terminal as an HTTP response.

[0661] Step 9:

[0662] The device parses the JSON formatted hospital information received from the server and visually displays it to the user, including the hospital name, address, opening hours, phone number, and emotional advice.

[0663] Step 10:

[0664] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[0665] Step 11:

[0666] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[0667] This process allows users to quickly and easily find an appropriate medical institution and also receive support that suits their feelings.

[0668] Example 2

[0669] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0670] Conventional technologies make it difficult for users to easily find a medical institution suited to their symptoms, and the appointment process is also complicated. Furthermore, in emergency situations, users face a significant psychological burden, requiring a prompt and appropriate response. The present invention solves these problems by providing a system that enables users to quickly find an appropriate medical institution and easily make an appointment. Another objective of the present invention is to reduce the psychological burden by analyzing the user's emotional state and providing support accordingly.

[0671] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0672] In this invention, the server includes means for a user to input symptoms and transportation means, means for collecting the input symptoms and transportation means and recording the user's voice and facial expression using a camera and microphone, means for analyzing the recorded voice and facial expression data using an emotion engine to recognize the user's emotional state, means for searching for hospitals based on the recognized emotional state data and the symptoms and transportation data, means for displaying optimal hospital information to the user as search results and special messages and advice according to the user's emotional state, and means for providing a telephone number for making an appointment. This enables the user to quickly find an appropriate medical institution and make an appointment, and also allows the user to receive support according to their emotional state, thereby reducing psychological burden.

[0673] "Symptoms" refer to abnormal physical conditions experienced by the user, specifically physical conditions such as fever or sore throat.

[0674] "Transportation" refers to the method used by the user to access a medical institution, and includes transportation methods such as walking and cycling.

[0675] "Terminal" refers to a device operated by a user, and includes devices that can connect to the Internet, such as smartphones and personal computers.

[0676] "Emotion engine" refers to a system that analyzes the user's voice and facial expression data and recognizes the user's emotional state.

[0677] "Emotional state" refers to the psychological state of the user as recognized by the emotion engine, and specifically includes emotions such as stress, anxiety, and relief.

[0678] A "server" refers to a computer system that receives data sent by a user, processes it, and provides the necessary information.

[0679] A "database" refers to a system for systematically storing and managing large amounts of data, such as hospital information.

[0680] "Hospital information" refers to information about medical institutions, specifically including details such as the hospital's name, address, reception hours, telephone number, and whether or not it can handle tests.

[0681] The "telephone number for reservations" refers to the contact telephone number that the user uses to make a reservation at a medical institution.

[0682] The "automatic telephone function" refers to a function in which the terminal automatically calls the reservation telephone number when the user presses a button.

[0683] "Special messages and advice" refers to additional information or instructions provided depending on the user's emotional state, including, for example, information on relaxation techniques and waiting times.

[0684] This invention is a system that allows users to easily find an appropriate medical institution and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, and can respond according to the user's psychological state.

[0685] System Configuration

[0686] User's terminal

[0687] Users use devices with internet connectivity, such as smartphones or PCs. These devices are provided with an interface where they can input symptoms and transportation methods. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[0688] server

[0689] The server receives the symptom and transportation information sent by the user, and the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted for display to the user.

[0690] Emotion Engine

[0691] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[0692] Specific examples of program processing

[0693] Example 1: User complains of fever and sore throat

[0694] 1. The user logs into a smartphone application, enters "fever" and "sore throat," and selects "walking" as their mode of transportation.

[0695] 2. The device saves the input information and uses the camera and microphone to record and photograph voice and facial expressions. This data is then sent to the emotion engine.

[0696] 3. The emotion engine analyzes the voice and facial expression data to recognize "anxiety." The recognized information is sent to the server via the device.

[0697] 4. The server searches for an appropriate hospital from its database based on the received information on symptoms, transportation, and emotion recognition, and formats the information.

[0698] 5. The formatted information is displayed on the user's device, including the hospital's name, address, opening hours, phone number, and advice on how to alleviate anxiety.

[0699] 6. The user calls the hospital using the displayed phone number and makes an appointment.

[0700] Example prompt sentence:

[0701] "The user complains of a fever and sore throat and has chosen walking as their mode of transportation. Emotion recognition information indicates that the user is anxious. Please search for an appropriate hospital and provide the best hospital information and phone number for making an appointment."

[0702] Example 2: When a user suspects they have the flu and is under stress

[0703] 1. The user uses the application to input "fever" and "joint pain" and select "bicycle" as their mode of transportation.

[0704] 2. The device stores the input information and sends voice and facial expression data to the emotion engine.

[0705] 3. The emotion engine analyzes voice and facial expression data to recognize "stress." This information is sent to the server.

[0706] 4. Based on the information received, the server searches its database for hospitals that offer flu tests and are accessible by bicycle, and formats the information with advice on how to relax.

[0707] 5. The formatted information is displayed on the user's terminal.

[0708] 6. The user calls the hospital using the displayed phone number to make an appointment.

[0709] Example prompt sentence:

[0710] "The user suspects he has the flu and complains of fever and joint pain. He plans to use a bicycle as his means of transportation, and emotion recognition information indicates that he is feeling stressed. Please search for hospitals that offer flu tests and are accessible by bicycle, and provide the most suitable hospital information and phone number for making an appointment."

[0711] Hardware and software used

[0712] Hardware

[0713] User device: smartphone, PC

[0714] Input devices: camera, microphone

[0715] software

[0716] User Interface: Web applications, mobile applications

[0717] Emotion Engine: Voice and facial recognition software

[0718] Server system: Database management system, search algorithm

[0719] This system allows users to quickly and easily find an appropriate medical institution and make a reservation while reducing the psychological burden.

[0720] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0721] Step 1: User enters symptoms and transportation options

[0722] Users log in to a smartphone or PC application and enter their symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The specific input interface is a web form or a mobile input screen.

[0723] Input: Symptom information, transportation information

[0724] Output: The entered symptoms and transportation information will be saved on the device.

[0725] Step 2: Collect emotion recognition data

[0726] The device stores the information entered by the user, while simultaneously using the camera and microphone to collect the user's voice and facial expression data, which happens in the background and is ready for real-time data analysis.

[0727] Input: Audio and facial expression data from camera and microphone

[0728] Output: Voice data, facial expression data

[0729] Step 3: Emotion analysis using the emotion engine

[0730] The terminal transmits the collected voice and facial expression data to the emotion engine.

[0731] The emotion engine analyzes voice and facial expression data to recognize the user's emotional state (e.g., stress, anxiety, relief). The emotion engine performs analysis using machine learning models and AI technology.

[0732] Input: Voice data, facial expression data

[0733] Output: Emotion recognition information

[0734] Step 4: Send emotion recognition information and symptom information to the server

[0735] The terminal transmits the emotion recognition information, symptoms, and transportation information received from the emotion engine to the server.

[0736] Input: Emotion recognition information, symptom information, transportation information

[0737] Output: Data sent to the server

[0738] Step 5: Server searches for hospitals

[0739] The server receives the information sent from the device and searches the database for hospitals that meet the criteria, including the hospital's opening hours, whether it offers specific tests, and distance.

[0740] Input: Emotion recognition information, symptom information, transportation information

[0741] Data processing: Conditional filtering and ranking of searched hospitals

[0742] Output: List of hospitals that meet the criteria

[0743] Step 6: Format and submit hospital information

[0744] The server then formats the search results and compiles them into information to display to the user, including the hospital's name, address, opening hours, and phone number, along with special messages and advice based on the emotion recognition information.

[0745] Input: List of hospital information, emotion recognition information

[0746] Output: Formatted hospital information and appropriate advice

[0747] Step 7: View Hospital Information

[0748] The terminal receives the hospital information sent from the server and displays it to the user.

[0749] Input: Formatted hospital information

[0750] Output: Hospital information display screen

[0751] Step 8: Making a reservation

[0752] The user can make a reservation by calling the hospital directly using the reservation phone number displayed on the terminal, or by using the automated phone function if necessary.

[0753] Input: Phone number for reservation

[0754] Output: Appointment with hospital completed

[0755] This process allows users to quickly find an appropriate medical institution and easily make an appointment. It also helps reduce the psychological burden by providing special messages and advice based on emotion recognition.

[0756] (Application example 2)

[0757] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0758] With conventional systems, it was difficult for users to find an appropriate medical institution and quickly make an appointment when they became ill. Furthermore, the system did not respond to the user's psychological state, which increased the psychological burden. Furthermore, it took time and effort to find the appropriate medicines and products, making it difficult to provide prompt care to the user. There is a need to solve these problems.

[0759] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0760] In this invention, the server includes: a means for a user to input symptoms and transportation options; a means for searching for hospitals based on the input symptoms and transportation options; a means for detecting the user's voice and facial expression and recognizing their emotions; a means for suggesting appropriate medical institutions based on the recognized emotions; a means for displaying optimal hospital information to the user as search results; a means for providing a telephone number for making an appointment; a means for displaying optimal drug and product information to the user; and a means for providing special advice according to the user's emotional state. This allows the user to quickly find an appropriate medical institution and make an appointment, reducing psychological burden. Furthermore, the ability to easily find appropriate drugs and products enables prompt care.

[0761] "Symptom" refers to an abnormal physical or mental condition currently experienced by a user.

[0762] "Transportation" refers to the means used by the user to go to a medical institution (e.g., walking, car, bicycle, etc.).

[0763] "Search" refers to the act of finding the most suitable medical institution or product based on the conditions entered by the user.

[0764] "Emotion recognition" refers to the process of analyzing a user's voice and facial expressions to identify their psychological state.

[0765] "Medical institution" refers to a facility that provides medical services, such as a hospital, medical office, or clinic.

[0766] "Reservation" refers to the act of a user reserving a date and time in advance with a medical institution or pharmacy for an examination or to obtain a product.

[0767] "Telephone number" refers to the number used to contact a medical institution or pharmacy.

[0768] "Drug" means a medicine used to treat or alleviate a disease or symptom.

[0769] "Products" refers not only to pharmaceuticals but also to items related to maintaining or improving health (e.g., supplements, medical equipment, etc.).

[0770] "Advice" refers to advice or suggestions that correspond to the user's state or emotions.

[0771] The following describes in detail the embodiments of the present invention. This system uses devices such as smartphones, tablets, and PCs. Users use these devices to input information about their medical condition and transportation options and interact with the system's interface. The devices are also equipped with cameras and microphones for capturing voice and facial expressions.

[0772] The system consists of the following main components:

[0773] 1. User input:

[0774] Users input their symptoms (e.g., fever, headache) and mode of transportation (e.g., walking, car) through the application. The input interface is designed to be user-friendly, allowing users to provide information easily.

[0775] 2. Emotion recognition means:

[0776] This invention is equipped with an emotion engine for recognizing the user's emotions. Specifically, it uses the Emotion API of Microsoft Azure Cognitive Services to analyze the user's voice and facial expression data and recognize the user's emotional state (e.g., stress, anxiety). This data is sent to a server.

[0777] 3. Hospital search tools:

[0778] Based on the inputted symptoms and transportation information, as well as the emotion data obtained by the emotion recognition tool, the server searches the database for suitable hospitals, taking into account factors such as the hospital's opening hours and whether it offers certain tests.

[0779] 4. Search results display method:

[0780] The server then formats the search results and displays the most suitable hospital information on the user's device, including the hospital's name, address, opening hours, telephone number, and special messages and advice tailored to the user's psychological state.

[0781] 5. Reservation Method:

[0782] Users can easily access appointment phone numbers displayed in search results, and an optional auto-call feature allows users to automatically call the hospital with the touch of a button.

[0783] 6. Drug and product search methods:

[0784] In a more advanced form, a means is provided for searching for and displaying appropriate medicines and health-related products to the user according to the user's symptoms and emotional state.

[0785] 7. Means of Advice:

[0786] Providing tailored advice based on the user's emotional state. For example, if the user is feeling stressed, providing advice on how to relax or suggesting related products (e.g., herbal tea).

[0787] For example, if a user inputs the symptoms "fever" and "joint pain" and selects "bicycle" as their mode of transportation, the emotion engine will recognize that the user is feeling "stressed." Based on this information, the server will search for hospitals that offer influenza tests and list those that are accessible by bicycle. Information about the most suitable hospital will be displayed on the user's device, along with a phone number for making an appointment. Advice on how to reduce stress will also be displayed.

[0788] An example of a prompt is:

[0789] The user entered the symptoms "fever" and "joint pain" and selected the transportation method "bicycle." The emotion engine recognized the "stress" the user was feeling. Based on this information, generate an API request to suggest the best pharmacy and product for the user.

[0790] This system allows users to quickly and easily find the most suitable medical institution when they are unwell. It also provides support according to the user's emotional state, reducing psychological burden. Furthermore, it makes it easy to find necessary medicines and products, promoting prompt medical care for users.

[0791] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0792] Step 1:

[0793] The user accesses the application using a smartphone or tablet and enters their symptoms and mode of transportation. When the user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the input form, the information is temporarily stored on the device. The entered data is prepared for the next processing step.

[0794] Step 2:

[0795] The device captures the user's voice and facial expressions using a camera and microphone and sends them to the emotion engine. Specifically, it sends them to the Emotion API of Microsoft Azure Cognitive Services. The emotion engine analyzes the user's voice and facial expression data to identify the user's emotional state (e.g., stress, anxiety). The analyzed emotion recognition information is sent back to the device. This data is then sent to the server in the next step.

[0796] Step 3:

[0797] The device sends the user's inputted symptoms, transportation method, and emotion recognition information to the server. The server receives this data and checks it against a hospital database. Based on the analyzed data, the server searches for an appropriate medical institution, taking into account the hospital's acceptance status, reception hours, and whether it can handle specific tests. The search results are the output data for the next step.

[0798] Step 4:

[0799] The server then formats the search results and returns the most suitable hospital information to the user's device. This information includes the hospital's name, address, opening hours, phone number, etc. Special messages and advice based on the user's emotional state are also added. This information is then displayed on the user's device.

[0800] Step 5:

[0801] Based on the displayed information, the user can contact the medical institution using the reservation phone number. As an optional feature, the terminal offers an automatic phone call function. The user simply presses a button to automatically call the reservation phone number. This function allows the user to make reservations easily.

[0802] Step 6:

[0803] The server searches for the most suitable medicines and health-related products based on the user's symptoms and emotional state, and sends that information to the device. The user can then consider purchasing them at a pharmacy based on the displayed product information. This function allows users to quickly find the right medicines and supplements.

[0804] Step 7:

[0805] Special advice is provided depending on the user's emotional state. For example, if emotion recognition information indicates stress, the server will provide advice on how to relax and suggest related products, thereby reducing the user's psychological burden.

[0806] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0807] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0808] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0809] [Third embodiment]

[0810] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0811] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0812] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0813] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0814] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0815] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0816] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0817] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0818] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0819] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0820] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0821] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as the "server" and the headset type terminal 314 will be referred to as the "terminal."

[0822] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system consists of the following basic steps.

[0823] System Configuration

[0824] User's terminal

[0825] Users use devices that can connect to the Internet, such as smartphones or PCs. An interface is provided that allows users to input their symptoms and transportation methods. This interface is provided as a web application or mobile application.

[0826] server

[0827] The server receives information about symptoms and transportation methods sent by the user. Based on this information, it accesses a database and searches for hospitals that meet the criteria. The search results are formatted as information to be displayed to the user.

[0828] Program processing flow

[0829] Enter symptoms and transportation

[0830] Using a dedicated interface, users input their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling), which are then collected as input into a form.

[0831] Hospital search

[0832] Based on the information sent from the device to the server, the server searches the database for hospitals that meet the criteria, including the ability to check information such as the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza or COVID-19 tests.

[0833] Displaying hospital information

[0834] The server formats the search results to display the most suitable hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and telephone number, allowing the user to quickly find the most suitable hospital.

[0835] Providing a phone number for reservations

[0836] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[0837] Automatic telephone function (optional)

[0838] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[0839] Specific examples

[0840] Example 1: User complains of fever and sore throat

[0841] The user inputs the symptoms of "fever" and "sore throat" and the transportation method of "walking." The device sends this information to the server. The server searches its database for hospitals that accept patients with fever and lists those that are within walking distance. Information about the most suitable hospital and the phone number for making an appointment are displayed on the user's device. Using this information, the user can call the hospital and make an appointment.

[0842] Example 2: If the user suspects they have the flu

[0843] The user inputs the symptoms of "fever" and "joint pain" and the mode of transportation of "bicycle." The device sends this information to the server. The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information on the most suitable hospital and the phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment.

[0844] The system described above allows users to quickly and easily find an appropriate medical institution when they feel unwell, and is extremely useful, especially when a rapid response is required.

[0845] The processing flow will be explained below.

[0846] Step 1:

[0847] A user opens a dedicated web or mobile application from a smartphone or computer.

[0848] Step 2:

[0849] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form.

[0850] Step 3:

[0851] The device collects the entered symptoms and transportation information, converts it into JSON format, and sends it to the server.

[0852] Step 4:

[0853] The server receives the JSON formatted data sent from the terminal and parses it.

[0854] Step 5:

[0855] The server extracts "symptoms" and "means of transportation" from the analyzed data, and then searches the database for an appropriate hospital based on that information.

[0856] Step 6:

[0857] The server searches a hospital database and filters hospitals that meet the criteria, including their opening hours, whether they accept patients with fever, and whether they offer influenza and COVID-19 testing.

[0858] Step 7:

[0859] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that best suits the user.

[0860] Step 8:

[0861] The server sends the organized information to the terminal as an HTTP response.

[0862] Step 9:

[0863] The terminal analyzes the JSON formatted hospital information received from the server and displays it visually to the user.

[0864] Step 10:

[0865] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[0866] Step 11:

[0867] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[0868] Example 1

[0869] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0870] In the past, when users became ill, it was difficult for them to quickly find an appropriate hospital and make an appointment. In particular, to find a specialized medical institution that matches their symptoms, they had to search through multiple information sources, which was time-consuming and labor-intensive. In addition, there were cases where it was impossible to contact the hospital when making a phone appointment, which made it difficult to receive appropriate treatment quickly.

[0871] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0872] In this invention, the server includes means for the user to input symptoms and transportation means, means for transmitting the input symptoms and transportation means to the server, means for searching for hospital information from a database based on the information received by the server, means for displaying the most suitable hospital information to the user as a search result, and means for providing a telephone number for making an appointment. This allows the user to quickly and easily find an appropriate medical institution when they become ill, and makes it possible to smoothly make an appointment.

[0873] "User" refers to an individual who uses the system to search for hospitals and make appointments.

[0874] "Symptoms" refers to information about the ailments or health problems a user is experiencing.

[0875] "Transportation" refers to the transportation or travel method used by the user to go to the hospital.

[0876] "Server" refers to a computer system that receives and analyzes information sent by users, and searches for and provides hospital information.

[0877] A "database" refers to a collection of information that stores hospital information and information on medical institutions corresponding to symptoms.

[0878] "Hospital information" refers to information such as the hospital's name, location, reception hours, and telephone number.

[0879] "Telephone number for appointment" refers to the contact number that a user uses to make an appointment with a hospital.

[0880] "Means for automatically making a call" refers to a function that allows the system to automatically call the reservation phone number when the user performs a specific operation.

[0881] "Reception hours" refers to the hours during which a hospital accepts patients for treatment.

[0882] "Specific test" refers to a medical test designed to diagnose a specific condition or disease, such as influenza or COVID-19.

[0883] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system of the present invention comprises a means for the user to input symptoms and transportation options, a means for transmitting the input information to a server, and a means for searching for hospitals based on the received information and providing the user with information on the most suitable hospital.

[0884] Hardware and Software

[0885] Users use a device with an internet connection, such as a smartphone or PC. This device uses an interface provided as a web or mobile application to input symptoms and transportation methods. Specific software used is HTML, CSS, and JavaScript for the front end, Python or Node.js for the back end, and MySQL or PostgreSQL for the database.

[0886] Program processing

[0887] 1. Enter your symptoms and transportation options

[0888] Users access the web application from their smartphone or PC and enter their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling). The device collects and formats this information.

[0889] 2. Sending data to the server

[0890] The device sends the collected information to the server as an HTTP POST request, and the server receives and analyzes the information.

[0891] 3. Search for hospitals from the database

[0892] The server generates a database query based on the information it receives to find hospitals that meet the criteria, including their opening hours and whether they offer specific tests (such as flu or COVID-19 tests).

[0893] 4. Formatting and displaying hospital information

[0894] The server selects the most appropriate hospital information from the search results and formats it in a user-friendly format, including the hospital's name, address, opening hours, and phone number. The terminal displays this information to the user.

[0895] 5. Provision of telephone number for reservations and automated calling function

[0896] The hospital information displayed to the user also includes a phone number for appointments, which the user can call directly to schedule an appointment. Optionally, the system can also use APIs such as Twilio to automatically make phone calls.

[0897] Specific examples

[0898] Example 1: If you have a fever and sore throat

[0899] The user opens the web application, selects the symptoms "fever" and "sore throat," and selects "walking" as the transportation method. The device converts this information into JSON format and sends it to the server. The server searches the database for a corresponding hospital and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0900] (Example of a prompt for a generative AI model)

[0901] "I have a fever and sore throat and am looking for a hospital within walking distance. Please generate a list of hospitals that meet my criteria."

[0902] Example 2: If you suspect you have influenza

[0903] A user opens a web application, selects the symptoms "fever" and "joint pain," and selects the transportation method "bicycle." The device converts this information into JSON format and sends it to the server. The server searches the database for hospitals that offer influenza tests and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[0904] (Example of a prompt for a generative AI model)

[0905] "I have a fever and joint pain and am looking for a hospital that offers flu testing and is within cycling distance. Please generate a list of hospitals that meet my criteria."

[0906] This system allows users to quickly and easily find an appropriate medical institution when they feel unwell, and also allows them to smoothly make an appointment.

[0907] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0908] Step 1:

[0909] The user accesses a web or mobile application using a smartphone or PC. The user inputs their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The device collects this information as an input form and converts it into the required format.

[0910] Input: Symptoms and transportation information

[0911] Output: Well-formed user-entered data

[0912] Specifically, a user enters "fever," "sore throat," and "walk" into a form on a web page, and JavaScript validates the user input in real time and formats it appropriately.

[0913] Step 2:

[0914] The terminal sends the formatted user input data to the server as an HTTP POST request, and the server analyzes the received information and generates the necessary search criteria.

[0915] Input: Well-formed user-entered data (symptoms and transportation)

[0916] Output: Search criteria

[0917] Specifically, JavaScript converts the data into JSON format and sends it to the server using an AJAX request, where the request data is received and parsed using, for example, the Python Flask framework.

[0918] Step 3:

[0919] The server generates a database query based on the analyzed search criteria and searches the database for hospital information. The server then checks the reception hours, availability of specific tests, and other information for hospitals that match the criteria.

[0920] Input: Search criteria

[0921] Output: Search results (matching hospital information)

[0922] Specifically, it generates SQL queries and executes them against databases such as MySQL or PostgreSQL, for example, "SELECT FROM hospitals WHERE symptom='fever' AND transport='walking' AND covid_test_available=true;".

[0923] Step 4:

[0924] The server converts the hospital information obtained as search results into JSON format, formatting it in a format that is easy for the user to understand. The terminal displays this information to the user.

[0925] Input: Search results (matching hospital information)

[0926] Output: Well-formatted hospital information data

[0927] Specifically, the server generates a JSON response containing the hospital name, address, reception hours, and phone number, and sends it to the terminal. The terminal receives this JSON data, embeds it in an HTML template, and displays it on the screen.

[0928] Step 5:

[0929] The terminal provides the displayed hospital information along with a telephone number for making an appointment, which the user can use to call the hospital directly to make an appointment.

[0930] Input: Well-formed hospital information data

[0931] Output: Hospital information and phone number displayed on the screen

[0932] Specifically, a "Call to Make an Appointment" button appears on the screen, and when the user clicks it, the default phone app launches and a phone number is set, allowing the user to call the hospital simply by pressing the button.

[0933] Step 6 (optional):

[0934] The terminal uses the server's automatic call function, allowing the user to automatically call the reservation phone number simply by pressing a button.

[0935] Input: User button presses

[0936] Output: Automatically dialed phone number

[0937] Specifically, the server will automatically make phone calls using external APIs such as Twilio, making it easier for users to make reservations.

[0938] (Application example 1)

[0939] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0940] Traditional food delivery services have faced challenges in finding the perfect meal for users, taking into account allergies and dietary restrictions. They also face challenges in quickly processing orders and efficiently fulfilling them. In particular, it can take a long time for users to find the right restaurant or dish based on their specific health conditions or dietary restrictions.

[0941] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0942] In this invention, the server includes a means for a user to input information based on conditions, a means for searching for a destination based on the input conditions, and a means for displaying optimal information to the user as a search result. This allows the user to quickly find restaurants and dishes that meet conditions such as allergies and dietary restrictions. It also allows for the order to be fulfilled quickly.

[0943] A "user" is an individual or organization that uses this system and is the entity that inputs information based on specific conditions.

[0944] "Conditions" refers to information entered by the user, and is a general term for information including allergy information, dietary restrictions, location information, and the like.

[0945] "Information" refers to the conditions entered by the user and the content obtained as search results, specifically restaurant information, details of dishes, and the like.

[0946] "Input means" refers to the interface or device that the user uses to input conditions, and specifically refers to a smartphone application or web form.

[0947] "Search means" refers to a function that searches for the most appropriate information based on input conditions, and includes database search and algorithmic matching functions.

[0948] "Display means" refers to a device or interface for providing the user with the information obtained as a search result, such as the screen display of a smartphone or computer.

[0949] "Contact Method" refers to the means provided for reservations and orders, and specifically includes telephone numbers, email addresses, automated contact functions, etc.

[0950] This invention is a system that allows a user to input conditions such as allergies or dietary restrictions, find the most suitable restaurant or dish based on the input, and quickly place an order. Detailed embodiments of the invention are described below.

[0951] System Configuration

[0952] This system is configured to search for information based on conditions entered by the user and provide the results. The system is mainly composed of the following elements.

[0953] User's terminal

[0954] Users use devices that can connect to the Internet, such as smartphones or PCs. They can use an interface to input conditions (e.g., allergy information, dietary restrictions, location information). This interface is provided as a mobile application or a web application.

[0955] server

[0956] The server receives the user's search criteria and searches the database for the most suitable restaurant or food based on the information. The search results are formatted for display to the user and then sent back to the user's device.

[0957] Program processing flow

[0958] Entering conditions

[0959] Using a dedicated interface, users enter information such as allergy information, dietary restrictions, and current location, which is collected as input into a form.

[0960] search

[0961] Based on the information sent from the device to the server, the server searches its database for restaurants and dishes that meet the criteria, including whether the restaurant caters to allergies, whether it has a vegan menu, and location information.

[0962] Displaying Information

[0963] The server formats the search results and displays them to the user, including the restaurant's name, address, details of the food served, and contact information for ordering, allowing the user to quickly make the best choice.

[0964] Hardware and Software

[0965] Hardware

[0966] The server can be a cloud-based system (e.g., AWS), and the user's device can be a smartphone (iOS / Android) or a PC.

[0967] software

[0968] The system is built on the server side using Python and Flask, uses SQLite as the database, and the user interface is provided as a mobile or web application.

[0969] Specific examples

[0970] Example 1

[0971] When a user enters the criteria "gluten-free," "vegan," and "Shinjuku," the server searches the database based on these criteria and lists appropriate restaurants and dishes, from which the user can select and complete their order.

[0972] Prompt Sentence Examples

[0973] Enter your allergy information, dietary restrictions, and location.

[0974] Examples: "Gluten-free," "Vegan," "Shinjuku"

[0975] In this way, the system helps users quickly find suitable restaurants and cuisines based on specific criteria, and also ensures fast order fulfillment.

[0976] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0977] Step 1:

[0978] Users enter information such as allergies, dietary restrictions, and current location information through a smartphone or PC application. This information is collected as input data using a dedicated form.

[0979] Input: Allergy information (e.g. gluten-free), dietary restrictions (e.g. vegan), location information (e.g. Shinjuku)

[0980] Output: JSON format data of condition information

[0981] Step 2:

[0982] The device sends the condition information collected from the user to the server. At this time, the data is sent using a secure communication protocol (e.g., HTTPS).

[0983] Input: JSON format data of condition information

[0984] Output: Condition information sent to the server

[0985] Step 3:

[0986] The server searches a database based on the received criteria information. The database includes information such as whether the restaurant caters to allergies and dietary restrictions, location information, etc. The server generates a search query and retrieves information on the most suitable restaurants and dishes.

[0987] Input: Condition information sent to the server

[0988] Data processing: Generate and execute SQL queries based on condition information

[0989] Output: Best restaurant and food information

[0990] Step 4:

[0991] The server formats the restaurant and food information obtained as search results, generates data to display to the user, and transmits the data to the user's terminal.

[0992] Input: Best restaurant and food information

[0993] Data processing: Formatting the data to display to the user

[0994] Output: Data for display

[0995] Step 5:

[0996] The terminal displays the search results to the user based on the display data received from the server, and the user can then select the most suitable restaurant from the presented restaurant information and dishes.

[0997] Input: Data to be displayed

[0998] Output: Restaurant and food information displayed to the user.

[0999] Step 6:

[1000] The user selects a restaurant and a dish from the displayed list and confirms the order. The confirmed order information is sent back to the server.

[1001] Input: Order information selected by the user

[1002] Output: Order information sent to the server

[1003] Step 7:

[1004] The server processes the received order information, transmits the order to the selected restaurant or delivery service, monitors the status of the order fulfillment, and notifies the user as needed.

[1005] Input: Order information sent to the server

[1006] Data processing: Confirmation of order details and delivery arrangements

[1007] Output: Order fulfillment status information

[1008] Through these processing steps, users can quickly find restaurants and dishes that meet their specific requirements and complete their orders. This system provides a smooth ordering experience even when taking into account allergies and dietary restrictions.

[1009] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1010] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing it to respond according to the user's psychological state. Below, we will explain how this system is specifically implemented.

[1011] System Configuration

[1012] User's terminal

[1013] Users use a device with an internet connection, such as a smartphone or PC. An interface is provided where users can input their symptoms and transportation options. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[1014] server

[1015] The server receives the symptom and transportation information sent by the user, as well as the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted as information to be displayed to the user.

[1016] Emotion Engine

[1017] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[1018] Program processing flow

[1019] Enter symptoms and transportation

[1020] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. This information is collected as input into the form. At the same time, the user's voice and facial expressions are captured by the camera and microphone and analyzed by the emotion engine.

[1021] Emotion recognition by emotion engine

[1022] The device sends the user's voice and facial expression data to the emotion engine, which analyzes the data and recognizes the user's current emotion (e.g., stress, anxiety, relief). This emotion recognition information is then sent to the server.

[1023] Hospital search

[1024] Based on the symptoms, transportation information, and emotion recognition information sent from the device to the server, the server searches a database for hospitals that meet the criteria, including the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[1025] Displaying hospital information

[1026] The server formats the search results to display the most relevant hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and phone number. It may also display special messages or advice depending on the user's emotional state.

[1027] Providing a phone number for reservations

[1028] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[1029] Automatic telephone function (optional)

[1030] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[1031] Specific examples

[1032] Example 1: User complains of fever and sore throat

[1033] The user inputs their symptoms of "fever" and "sore throat," as well as their preferred method of transportation, "walking." The device sends this information to the server. At the same time, an emotion engine that analyzes the user's facial expressions and voice recognizes "anxiety." The server then searches its database for hospitals that accept patients with fever, and lists those within walking distance. Information about the most suitable hospital and a phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice based on the data is also displayed.

[1034] Example 2: When a user suspects they have the flu and is under stress

[1035] The user inputs their symptoms of "fever" and "joint pain," and their mode of transportation, "bicycle." The device sends this information to the server. At the same time, the emotion engine analyzes the data and recognizes that the user is feeling "stressed." The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information about the most suitable hospital and the phone number for making an appointment is displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice on how to relax and information about waiting times at the medical institution are also displayed.

[1036] This system allows users to quickly and easily find the most suitable medical institution even when they are unwell. It also provides support according to the user's emotional state, reducing the psychological burden. This system is extremely useful, especially when a quick response and psychological support are required.

[1037] The processing flow will be explained below.

[1038] Step 1:

[1039] A user opens a dedicated web or mobile application from a smartphone or computer.

[1040] Step 2:

[1041] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. At the same time, the user's voice and facial expressions are captured by the camera and microphone.

[1042] Step 3:

[1043] The device collects the inputted information on symptoms and transportation, converts it into JSON format, and sends it to the server, along with voice and facial expression data, which are then sent to the emotion engine.

[1044] Step 4:

[1045] The server receives the JSON format data sent from the device, analyzes it, and extracts "symptoms" and "means of transportation" from the analyzed data.

[1046] Step 5:

[1047] The emotion engine analyzes voice and facial expression data to recognize the user's emotions (e.g., stress, anxiety, relief), and sends this information to the server.

[1048] Step 6:

[1049] The server searches the database for hospitals that meet the criteria based on the symptoms and transportation information analyzed by the server, as well as emotional information from the emotion engine. The search also takes into account the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[1050] Step 7:

[1051] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that is most suitable for the user. Messages and advice based on emotional information are also added.

[1052] Step 8:

[1053] The server sends the organized information to the terminal as an HTTP response.

[1054] Step 9:

[1055] The device parses the JSON formatted hospital information received from the server and visually displays it to the user, including the hospital name, address, opening hours, phone number, and emotional advice.

[1056] Step 10:

[1057] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[1058] Step 11:

[1059] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[1060] This process allows users to quickly and easily find an appropriate medical institution and also receive support that suits their feelings.

[1061] Example 2

[1062] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1063] Conventional technologies make it difficult for users to easily find a medical institution suited to their symptoms, and the appointment process is also complicated. Furthermore, in emergency situations, users face a significant psychological burden, requiring a prompt and appropriate response. The present invention solves these problems by providing a system that enables users to quickly find an appropriate medical institution and easily make an appointment. Another objective of the present invention is to reduce the psychological burden by analyzing the user's emotional state and providing support accordingly.

[1064] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1065] In this invention, the server includes means for a user to input symptoms and transportation means, means for collecting the input symptoms and transportation means and recording the user's voice and facial expression using a camera and microphone, means for analyzing the recorded voice and facial expression data using an emotion engine to recognize the user's emotional state, means for searching for hospitals based on the recognized emotional state data and the symptoms and transportation data, means for displaying optimal hospital information to the user as search results and special messages and advice according to the user's emotional state, and means for providing a telephone number for making an appointment. This enables the user to quickly find an appropriate medical institution and make an appointment, and also allows the user to receive support according to their emotional state, thereby reducing psychological burden.

[1066] "Symptoms" refer to abnormal physical conditions experienced by the user, specifically physical conditions such as fever or sore throat.

[1067] "Transportation" refers to the method used by the user to access a medical institution, and includes transportation methods such as walking and cycling.

[1068] "Terminal" refers to a device operated by a user, and includes devices that can connect to the Internet, such as smartphones and personal computers.

[1069] "Emotion engine" refers to a system that analyzes the user's voice and facial expression data and recognizes the user's emotional state.

[1070] "Emotional state" refers to the psychological state of the user as recognized by the emotion engine, and specifically includes emotions such as stress, anxiety, and relief.

[1071] A "server" refers to a computer system that receives data sent by a user, processes it, and provides the necessary information.

[1072] A "database" refers to a system for systematically storing and managing large amounts of data, such as hospital information.

[1073] "Hospital information" refers to information about medical institutions, specifically including details such as the hospital's name, address, reception hours, telephone number, and whether or not it can handle tests.

[1074] The "telephone number for reservations" refers to the contact telephone number that the user uses to make a reservation at a medical institution.

[1075] The "automatic telephone function" refers to a function in which the terminal automatically calls the reservation telephone number when the user presses a button.

[1076] "Special messages and advice" refers to additional information or instructions provided depending on the user's emotional state, including, for example, information on relaxation techniques and waiting times.

[1077] This invention is a system that allows users to easily find an appropriate medical institution and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, and can respond according to the user's psychological state.

[1078] System Configuration

[1079] User's terminal

[1080] Users use devices with internet connectivity, such as smartphones or PCs. These devices are provided with an interface where they can input symptoms and transportation methods. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[1081] server

[1082] The server receives the symptom and transportation information sent by the user, and the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted for display to the user.

[1083] Emotion Engine

[1084] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[1085] Specific examples of program processing

[1086] Example 1: User complains of fever and sore throat

[1087] 1. The user logs into a smartphone application, enters "fever" and "sore throat," and selects "walking" as their mode of transportation.

[1088] 2. The device saves the input information and uses the camera and microphone to record and photograph voice and facial expressions. This data is then sent to the emotion engine.

[1089] 3. The emotion engine analyzes the voice and facial expression data to recognize "anxiety." The recognized information is sent to the server via the device.

[1090] 4. The server searches for an appropriate hospital from its database based on the received information on symptoms, transportation, and emotion recognition, and formats the information.

[1091] 5. The formatted information is displayed on the user's device, including the hospital's name, address, opening hours, phone number, and advice on how to alleviate anxiety.

[1092] 6. The user calls the hospital using the displayed phone number and makes an appointment.

[1093] Example prompt sentence:

[1094] "The user complains of a fever and sore throat and has chosen walking as their mode of transportation. Emotion recognition information indicates that the user is anxious. Please search for an appropriate hospital and provide the best hospital information and phone number for making an appointment."

[1095] Example 2: When a user suspects they have the flu and is under stress

[1096] 1. The user uses the application to input "fever" and "joint pain" and select "bicycle" as their mode of transportation.

[1097] 2. The device stores the input information and sends voice and facial expression data to the emotion engine.

[1098] 3. The emotion engine analyzes voice and facial expression data to recognize "stress." This information is sent to the server.

[1099] 4. Based on the information received, the server searches its database for hospitals that offer flu tests and are accessible by bicycle, and formats the information with advice on how to relax.

[1100] 5. The formatted information is displayed on the user's terminal.

[1101] 6. The user calls the hospital using the displayed phone number to make an appointment.

[1102] Example prompt sentence:

[1103] "The user suspects he has the flu and complains of fever and joint pain. He plans to use a bicycle as his means of transportation, and emotion recognition information indicates that he is feeling stressed. Please search for hospitals that offer flu tests and are accessible by bicycle, and provide the most suitable hospital information and phone number for making an appointment."

[1104] Hardware and software used

[1105] Hardware

[1106] User device: smartphone, PC

[1107] Input devices: camera, microphone

[1108] software

[1109] User Interface: Web applications, mobile applications

[1110] Emotion Engine: Voice and facial recognition software

[1111] Server system: Database management system, search algorithm

[1112] This system allows users to quickly and easily find an appropriate medical institution and make a reservation while reducing the psychological burden.

[1113] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1114] Step 1: User enters symptoms and transportation options

[1115] Users log in to a smartphone or PC application and enter their symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The specific input interface is a web form or a mobile input screen.

[1116] Input: Symptom information, transportation information

[1117] Output: The entered symptoms and transportation information will be saved on the device.

[1118] Step 2: Collect emotion recognition data

[1119] The device stores the information entered by the user, while simultaneously using the camera and microphone to collect the user's voice and facial expression data, which happens in the background and is ready for real-time data analysis.

[1120] Input: Audio and facial expression data from camera and microphone

[1121] Output: Voice data, facial expression data

[1122] Step 3: Emotion analysis using the emotion engine

[1123] The terminal transmits the collected voice and facial expression data to the emotion engine.

[1124] The emotion engine analyzes voice and facial expression data to recognize the user's emotional state (e.g., stress, anxiety, relief). The emotion engine performs analysis using machine learning models and AI technology.

[1125] Input: Voice data, facial expression data

[1126] Output: Emotion recognition information

[1127] Step 4: Send emotion recognition information and symptom information to the server

[1128] The terminal transmits the emotion recognition information, symptoms, and transportation information received from the emotion engine to the server.

[1129] Input: Emotion recognition information, symptom information, transportation information

[1130] Output: Data sent to the server

[1131] Step 5: Server searches for hospitals

[1132] The server receives the information sent from the device and searches the database for hospitals that meet the criteria, including the hospital's opening hours, whether it offers specific tests, and distance.

[1133] Input: Emotion recognition information, symptom information, transportation information

[1134] Data processing: Conditional filtering and ranking of searched hospitals

[1135] Output: List of hospitals that meet the criteria

[1136] Step 6: Format and submit hospital information

[1137] The server then formats the search results and compiles them into information to display to the user, including the hospital's name, address, opening hours, and phone number, along with special messages and advice based on the emotion recognition information.

[1138] Input: List of hospital information, emotion recognition information

[1139] Output: Formatted hospital information and appropriate advice

[1140] Step 7: View Hospital Information

[1141] The terminal receives the hospital information sent from the server and displays it to the user.

[1142] Input: Formatted hospital information

[1143] Output: Hospital information display screen

[1144] Step 8: Making a reservation

[1145] The user can make a reservation by calling the hospital directly using the reservation phone number displayed on the terminal, or by using the automated phone function if necessary.

[1146] Input: Phone number for reservation

[1147] Output: Appointment with hospital completed

[1148] This process allows users to quickly find an appropriate medical institution and easily make an appointment. It also helps reduce the psychological burden by providing special messages and advice based on emotion recognition.

[1149] (Application example 2)

[1150] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1151] With conventional systems, it was difficult for users to find an appropriate medical institution and quickly make an appointment when they became ill. Furthermore, the system did not respond to the user's psychological state, which increased the psychological burden. Furthermore, it took time and effort to find the appropriate medicines and products, making it difficult to provide prompt care to the user. There is a need to solve these problems.

[1152] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1153] In this invention, the server includes: a means for a user to input symptoms and transportation options; a means for searching for hospitals based on the input symptoms and transportation options; a means for detecting the user's voice and facial expression and recognizing their emotions; a means for suggesting appropriate medical institutions based on the recognized emotions; a means for displaying optimal hospital information to the user as search results; a means for providing a telephone number for making an appointment; a means for displaying optimal drug and product information to the user; and a means for providing special advice according to the user's emotional state. This allows the user to quickly find an appropriate medical institution and make an appointment, reducing psychological burden. Furthermore, the ability to easily find appropriate drugs and products enables prompt care.

[1154] "Symptom" refers to an abnormal physical or mental condition currently experienced by a user.

[1155] "Transportation" refers to the means used by the user to go to a medical institution (e.g., walking, car, bicycle, etc.).

[1156] "Search" refers to the act of finding the most suitable medical institution or product based on the conditions entered by the user.

[1157] "Emotion recognition" refers to the process of analyzing a user's voice and facial expressions to identify their psychological state.

[1158] "Medical institution" refers to a facility that provides medical services, such as a hospital, medical office, or clinic.

[1159] "Reservation" refers to the act of a user reserving a date and time in advance with a medical institution or pharmacy for an examination or to obtain a product.

[1160] "Telephone number" refers to the number used to contact a medical institution or pharmacy.

[1161] "Drug" means a medicine used to treat or alleviate a disease or symptom.

[1162] "Products" refers not only to pharmaceuticals but also to items related to maintaining or improving health (e.g., supplements, medical equipment, etc.).

[1163] "Advice" refers to advice or suggestions that correspond to the user's state or emotions.

[1164] The following describes in detail the embodiments of the present invention. This system uses devices such as smartphones, tablets, and PCs. Users use these devices to input information about their medical condition and transportation options and interact with the system's interface. The devices are also equipped with cameras and microphones for capturing voice and facial expressions.

[1165] The system consists of the following main components:

[1166] 1. User input:

[1167] Users input their symptoms (e.g., fever, headache) and mode of transportation (e.g., walking, car) through the application. The input interface is designed to be user-friendly, allowing users to provide information easily.

[1168] 2. Emotion recognition means:

[1169] This invention is equipped with an emotion engine for recognizing the user's emotions. Specifically, it uses the Emotion API of Microsoft Azure Cognitive Services to analyze the user's voice and facial expression data and recognize the user's emotional state (e.g., stress, anxiety). This data is sent to a server.

[1170] 3. Hospital search tools:

[1171] Based on the inputted symptoms and transportation information, as well as the emotion data obtained by the emotion recognition tool, the server searches the database for suitable hospitals, taking into account factors such as the hospital's opening hours and whether it offers certain tests.

[1172] 4. Search results display method:

[1173] The server then formats the search results and displays the most suitable hospital information on the user's device, including the hospital's name, address, opening hours, telephone number, and special messages and advice tailored to the user's psychological state.

[1174] 5. Reservation Method:

[1175] Users can easily access appointment phone numbers displayed in search results, and an optional auto-call feature allows users to automatically call the hospital with the touch of a button.

[1176] 6. Drug and product search methods:

[1177] In a more advanced form, a means is provided for searching for and displaying appropriate medicines and health-related products to the user according to the user's symptoms and emotional state.

[1178] 7. Means of Advice:

[1179] Providing tailored advice based on the user's emotional state. For example, if the user is feeling stressed, providing advice on how to relax or suggesting related products (e.g., herbal tea).

[1180] For example, if a user inputs the symptoms "fever" and "joint pain" and selects "bicycle" as their mode of transportation, the emotion engine will recognize that the user is feeling "stressed." Based on this information, the server will search for hospitals that offer influenza tests and list those that are accessible by bicycle. Information about the most suitable hospital will be displayed on the user's device, along with a phone number for making an appointment. Advice on how to reduce stress will also be displayed.

[1181] An example of a prompt is:

[1182] The user entered the symptoms "fever" and "joint pain" and selected the transportation method "bicycle." The emotion engine recognized the "stress" the user was feeling. Based on this information, generate an API request to suggest the best pharmacy and product for the user.

[1183] This system allows users to quickly and easily find the most suitable medical institution when they are unwell. It also provides support according to the user's emotional state, reducing psychological burden. Furthermore, it makes it easy to find necessary medicines and products, promoting prompt medical care for users.

[1184] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1185] Step 1:

[1186] The user accesses the application using a smartphone or tablet and enters their symptoms and mode of transportation. When the user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the input form, the information is temporarily stored on the device. The entered data is prepared for the next processing step.

[1187] Step 2:

[1188] The device captures the user's voice and facial expressions using a camera and microphone and sends them to the emotion engine. Specifically, it sends them to the Emotion API of Microsoft Azure Cognitive Services. The emotion engine analyzes the user's voice and facial expression data to identify the user's emotional state (e.g., stress, anxiety). The analyzed emotion recognition information is sent back to the device. This data is then sent to the server in the next step.

[1189] Step 3:

[1190] The device sends the user's inputted symptoms, transportation method, and emotion recognition information to the server. The server receives this data and checks it against a hospital database. Based on the analyzed data, the server searches for an appropriate medical institution, taking into account the hospital's acceptance status, reception hours, and whether it can handle specific tests. The search results are the output data for the next step.

[1191] Step 4:

[1192] The server then formats the search results and returns the most suitable hospital information to the user's device. This information includes the hospital's name, address, opening hours, phone number, etc. Special messages and advice based on the user's emotional state are also added. This information is then displayed on the user's device.

[1193] Step 5:

[1194] Based on the displayed information, the user can contact the medical institution using the reservation phone number. As an optional feature, the terminal offers an automatic phone call function. The user simply presses a button to automatically call the reservation phone number. This function allows the user to make reservations easily.

[1195] Step 6:

[1196] The server searches for the most suitable medicines and health-related products based on the user's symptoms and emotional state, and sends that information to the device. The user can then consider purchasing them at a pharmacy based on the displayed product information. This function allows users to quickly find the right medicines and supplements.

[1197] Step 7:

[1198] Special advice is provided depending on the user's emotional state. For example, if emotion recognition information indicates stress, the server will provide advice on how to relax and suggest related products, thereby reducing the user's psychological burden.

[1199] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1200] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1201] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1202] [Fourth embodiment]

[1203] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1204] 7, a data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[1205] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1206] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1207] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1208] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1209] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1210] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1211] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1212] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[1213] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1214] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1215] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1216] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system consists of the following basic steps.

[1217] System Configuration

[1218] User's terminal

[1219] Users use devices that can connect to the Internet, such as smartphones or PCs. An interface is provided that allows users to input their symptoms and transportation methods. This interface is provided as a web application or mobile application.

[1220] server

[1221] The server receives information about symptoms and transportation methods sent by the user. Based on this information, it accesses a database and searches for hospitals that meet the criteria. The search results are formatted as information to be displayed to the user.

[1222] Program processing flow

[1223] Enter symptoms and transportation

[1224] Using a dedicated interface, users input their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling), which are then collected as input into a form.

[1225] Hospital search

[1226] Based on the information sent from the device to the server, the server searches the database for hospitals that meet the criteria, including the ability to check information such as the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza or COVID-19 tests.

[1227] Displaying hospital information

[1228] The server formats the search results to display the most suitable hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and telephone number, allowing the user to quickly find the most suitable hospital.

[1229] Providing a phone number for reservations

[1230] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[1231] Automatic telephone function (optional)

[1232] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[1233] Specific examples

[1234] Example 1: User complains of fever and sore throat

[1235] The user inputs the symptoms of "fever" and "sore throat" and the transportation method of "walking." The device sends this information to the server. The server searches its database for hospitals that accept patients with fever and lists those that are within walking distance. Information about the most suitable hospital and the phone number for making an appointment are displayed on the user's device. Using this information, the user can call the hospital and make an appointment.

[1236] Example 2: If the user suspects they have the flu

[1237] The user inputs the symptoms of "fever" and "joint pain" and the mode of transportation of "bicycle." The device sends this information to the server. The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information on the most suitable hospital and the phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment.

[1238] The system described above allows users to quickly and easily find an appropriate medical institution when they feel unwell, and is extremely useful, especially when a rapid response is required.

[1239] The processing flow will be explained below.

[1240] Step 1:

[1241] A user opens a dedicated web or mobile application from a smartphone or computer.

[1242] Step 2:

[1243] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form.

[1244] Step 3:

[1245] The device collects the entered symptoms and transportation information, converts it into JSON format, and sends it to the server.

[1246] Step 4:

[1247] The server receives the JSON formatted data sent from the terminal and parses it.

[1248] Step 5:

[1249] The server extracts "symptoms" and "means of transportation" from the analyzed data, and then searches the database for an appropriate hospital based on that information.

[1250] Step 6:

[1251] The server searches a hospital database and filters hospitals that meet the criteria, including their opening hours, whether they accept patients with fever, and whether they offer influenza and COVID-19 testing.

[1252] Step 7:

[1253] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that best suits the user.

[1254] Step 8:

[1255] The server sends the organized information to the terminal as an HTTP response.

[1256] Step 9:

[1257] The terminal analyzes the JSON formatted hospital information received from the server and displays it visually to the user.

[1258] Step 10:

[1259] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[1260] Step 11:

[1261] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[1262] Example 1

[1263] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1264] In the past, when users became ill, it was difficult for them to quickly find an appropriate hospital and make an appointment. In particular, to find a specialized medical institution that matches their symptoms, they had to search through multiple information sources, which was time-consuming and labor-intensive. In addition, there were cases where it was impossible to contact the hospital when making a phone appointment, which made it difficult to receive appropriate treatment quickly.

[1265] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1266] In this invention, the server includes means for the user to input symptoms and transportation means, means for transmitting the input symptoms and transportation means to the server, means for searching for hospital information from a database based on the information received by the server, means for displaying the most suitable hospital information to the user as a search result, and means for providing a telephone number for making an appointment. This allows the user to quickly and easily find an appropriate medical institution when they become ill, and makes it possible to smoothly make an appointment.

[1267] "User" refers to an individual who uses the system to search for hospitals and make appointments.

[1268] "Symptoms" refers to information about the ailments or health problems a user is experiencing.

[1269] "Transportation" refers to the transportation or travel method used by the user to go to the hospital.

[1270] "Server" refers to a computer system that receives and analyzes information sent by users, and searches for and provides hospital information.

[1271] A "database" refers to a collection of information that stores hospital information and information on medical institutions corresponding to symptoms.

[1272] "Hospital information" refers to information such as the hospital's name, location, reception hours, and telephone number.

[1273] "Telephone number for appointment" refers to the contact number that a user uses to make an appointment with a hospital.

[1274] "Means for automatically making a call" refers to a function that allows the system to automatically call the reservation phone number when the user performs a specific operation.

[1275] "Reception hours" refers to the hours during which a hospital accepts patients for treatment.

[1276] "Specific test" refers to a medical test designed to diagnose a specific condition or disease, such as influenza or COVID-19.

[1277] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. The system of the present invention comprises a means for the user to input symptoms and transportation options, a means for transmitting the input information to a server, and a means for searching for hospitals based on the received information and providing the user with information on the most suitable hospital.

[1278] Hardware and Software

[1279] Users use a device with an internet connection, such as a smartphone or PC. This device uses an interface provided as a web or mobile application to input symptoms and transportation methods. Specific software used is HTML, CSS, and JavaScript for the front end, Python or Node.js for the back end, and MySQL or PostgreSQL for the database.

[1280] Program processing

[1281] 1. Enter your symptoms and transportation options

[1282] Users access the web application from their smartphone or PC and enter their current symptoms (e.g., fever, sore throat) and available modes of transportation (e.g., walking, cycling). The device collects and formats this information.

[1283] 2. Sending data to the server

[1284] The device sends the collected information to the server as an HTTP POST request, and the server receives and analyzes the information.

[1285] 3. Search for hospitals from the database

[1286] The server generates a database query based on the information it receives to find hospitals that meet the criteria, including their opening hours and whether they offer specific tests (such as flu or COVID-19 tests).

[1287] 4. Formatting and displaying hospital information

[1288] The server selects the most appropriate hospital information from the search results and formats it in a user-friendly format, including the hospital's name, address, opening hours, and phone number. The terminal displays this information to the user.

[1289] 5. Provision of telephone number for reservations and automated calling function

[1290] The hospital information displayed to the user also includes a phone number for appointments, which the user can call directly to schedule an appointment. Optionally, the system can also use APIs such as Twilio to automatically make phone calls.

[1291] Specific examples

[1292] Example 1: If you have a fever and sore throat

[1293] The user opens the web application, selects the symptoms "fever" and "sore throat," and selects "walking" as the transportation method. The device converts this information into JSON format and sends it to the server. The server searches the database for a corresponding hospital and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[1294] (Example of a prompt for a generative AI model)

[1295] "I have a fever and sore throat and am looking for a hospital within walking distance. Please generate a list of hospitals that meet my criteria."

[1296] Example 2: If you suspect you have influenza

[1297] A user opens a web application, selects the symptoms "fever" and "joint pain," and selects the transportation method "bicycle." The device converts this information into JSON format and sends it to the server. The server searches the database for hospitals that offer influenza tests and formats the results. The device displays the hospital information and a phone number for making an appointment to the user. The user can then use this information to call the hospital and make an appointment.

[1298] (Example of a prompt for a generative AI model)

[1299] "I have a fever and joint pain and am looking for a hospital that offers flu testing and is within cycling distance. Please generate a list of hospitals that meet my criteria."

[1300] This system allows users to quickly and easily find an appropriate medical institution when they feel unwell, and also allows them to smoothly make an appointment.

[1301] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1302] Step 1:

[1303] The user accesses a web or mobile application using a smartphone or PC. The user inputs their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The device collects this information as an input form and converts it into the required format.

[1304] Input: Symptoms and transportation information

[1305] Output: Well-formed user-entered data

[1306] Specifically, a user enters "fever," "sore throat," and "walk" into a form on a web page, and JavaScript validates the user input in real time and formats it appropriately.

[1307] Step 2:

[1308] The terminal sends the formatted user input data to the server as an HTTP POST request, and the server analyzes the received information and generates the necessary search criteria.

[1309] Input: Well-formed user-entered data (symptoms and transportation)

[1310] Output: Search criteria

[1311] Specifically, JavaScript converts the data into JSON format and sends it to the server using an AJAX request, where the request data is received and parsed using, for example, the Python Flask framework.

[1312] Step 3:

[1313] The server generates a database query based on the analyzed search criteria and searches the database for hospital information. The server then checks the reception hours, availability of specific tests, and other information for hospitals that match the criteria.

[1314] Input: Search criteria

[1315] Output: Search results (matching hospital information)

[1316] Specifically, it generates SQL queries and executes them against databases such as MySQL or PostgreSQL, for example, "SELECT FROM hospitals WHERE symptom='fever' AND transport='walking' AND covid_test_available=true;".

[1317] Step 4:

[1318] The server converts the hospital information obtained as search results into JSON format, formatting it in a format that is easy for the user to understand. The terminal displays this information to the user.

[1319] Input: Search results (matching hospital information)

[1320] Output: Well-formatted hospital information data

[1321] Specifically, the server generates a JSON response containing the hospital name, address, reception hours, and phone number, and sends it to the terminal. The terminal receives this JSON data, embeds it in an HTML template, and displays it on the screen.

[1322] Step 5:

[1323] The terminal provides the displayed hospital information along with a telephone number for making an appointment, which the user can use to call the hospital directly to make an appointment.

[1324] Input: Well-formed hospital information data

[1325] Output: Hospital information and phone number displayed on the screen

[1326] Specifically, a "Call to Make an Appointment" button appears on the screen, and when the user clicks it, the default phone app launches and a phone number is set, allowing the user to call the hospital simply by pressing the button.

[1327] Step 6 (optional):

[1328] The terminal uses the server's automatic call function, allowing the user to automatically call the reservation phone number simply by pressing a button.

[1329] Input: User button presses

[1330] Output: Automatically dialed phone number

[1331] Specifically, the server will automatically make phone calls using external APIs such as Twilio, making it easier for users to make reservations.

[1332] (Application example 1)

[1333] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1334] Traditional food delivery services have faced challenges in finding the perfect meal for users, taking into account allergies and dietary restrictions. They also face challenges in quickly processing orders and efficiently fulfilling them. In particular, it can take a long time for users to find the right restaurant or dish based on their specific health conditions or dietary restrictions.

[1335] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1336] In this invention, the server includes a means for a user to input information based on conditions, a means for searching for a destination based on the input conditions, and a means for displaying optimal information to the user as a search result. This allows the user to quickly find restaurants and dishes that meet conditions such as allergies and dietary restrictions. It also allows for the order to be fulfilled quickly.

[1337] A "user" is an individual or organization that uses this system and is the entity that inputs information based on specific conditions.

[1338] "Conditions" refers to information entered by the user, and is a general term for information including allergy information, dietary restrictions, location information, and the like.

[1339] "Information" refers to the conditions entered by the user and the content obtained as search results, specifically restaurant information, details of dishes, and the like.

[1340] "Input means" refers to the interface or device that the user uses to input conditions, and specifically refers to a smartphone application or web form.

[1341] "Search means" refers to a function that searches for the most appropriate information based on input conditions, and includes database search and algorithmic matching functions.

[1342] "Display means" refers to a device or interface for providing the user with the information obtained as a search result, such as the screen display of a smartphone or computer.

[1343] "Contact Method" refers to the means provided for reservations and orders, and specifically includes telephone numbers, email addresses, automated contact functions, etc.

[1344] This invention is a system that allows a user to input conditions such as allergies or dietary restrictions, find the most suitable restaurant or dish based on the input, and quickly place an order. Detailed embodiments of the invention are described below.

[1345] System Configuration

[1346] This system is configured to search for information based on conditions entered by the user and provide the results. The system is mainly composed of the following elements.

[1347] User's terminal

[1348] Users use devices that can connect to the Internet, such as smartphones or PCs. They can use an interface to input conditions (e.g., allergy information, dietary restrictions, location information). This interface is provided as a mobile application or a web application.

[1349] server

[1350] The server receives the user's search criteria and searches the database for the most suitable restaurant or food based on the information. The search results are formatted for display to the user and then sent back to the user's device.

[1351] Program processing flow

[1352] Entering conditions

[1353] Using a dedicated interface, users enter information such as allergy information, dietary restrictions, and current location, which is collected as input into a form.

[1354] search

[1355] Based on the information sent from the device to the server, the server searches its database for restaurants and dishes that meet the criteria, including whether the restaurant caters to allergies, whether it has a vegan menu, and location information.

[1356] Displaying Information

[1357] The server formats the search results and displays them to the user, including the restaurant's name, address, details of the food served, and contact information for ordering, allowing the user to quickly make the best choice.

[1358] Hardware and Software

[1359] Hardware

[1360] The server can be a cloud-based system (e.g., AWS), and the user's device can be a smartphone (iOS / Android) or a PC.

[1361] software

[1362] The system is built on the server side using Python and Flask, uses SQLite as the database, and the user interface is provided as a mobile or web application.

[1363] Specific examples

[1364] Example 1

[1365] When a user enters the criteria "gluten-free," "vegan," and "Shinjuku," the server searches the database based on these criteria and lists appropriate restaurants and dishes, from which the user can select and complete their order.

[1366] Prompt Sentence Examples

[1367] Enter your allergy information, dietary restrictions, and location.

[1368] Examples: "Gluten-free," "Vegan," "Shinjuku"

[1369] In this way, the system helps users quickly find suitable restaurants and cuisines based on specific criteria, and also ensures fast order fulfillment.

[1370] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1371] Step 1:

[1372] Users enter information such as allergies, dietary restrictions, and current location information through a smartphone or PC application. This information is collected as input data using a dedicated form.

[1373] Input: Allergy information (e.g. gluten-free), dietary restrictions (e.g. vegan), location information (e.g. Shinjuku)

[1374] Output: JSON format data of condition information

[1375] Step 2:

[1376] The device sends the condition information collected from the user to the server. At this time, the data is sent using a secure communication protocol (e.g., HTTPS).

[1377] Input: JSON format data of condition information

[1378] Output: Condition information sent to the server

[1379] Step 3:

[1380] The server searches a database based on the received criteria information. The database includes information such as whether the restaurant caters to allergies and dietary restrictions, location information, etc. The server generates a search query and retrieves information on the most suitable restaurants and dishes.

[1381] Input: Condition information sent to the server

[1382] Data processing: Generate and execute SQL queries based on condition information

[1383] Output: Best restaurant and food information

[1384] Step 4:

[1385] The server formats the restaurant and food information obtained as search results, generates data to display to the user, and transmits the data to the user's terminal.

[1386] Input: Best restaurant and food information

[1387] Data processing: Formatting the data to display to the user

[1388] Output: Data for display

[1389] Step 5:

[1390] The terminal displays the search results to the user based on the display data received from the server, and the user can then select the most suitable restaurant from the presented restaurant information and dishes.

[1391] Input: Data to be displayed

[1392] Output: Restaurant and food information displayed to the user.

[1393] Step 6:

[1394] The user selects a restaurant and a dish from the displayed list and confirms the order. The confirmed order information is sent back to the server.

[1395] Input: Order information selected by the user

[1396] Output: Order information sent to the server

[1397] Step 7:

[1398] The server processes the received order information, transmits the order to the selected restaurant or delivery service, monitors the status of the order fulfillment, and notifies the user as needed.

[1399] Input: Order information sent to the server

[1400] Data processing: Confirmation of order details and delivery arrangements

[1401] Output: Order fulfillment status information

[1402] Through these processing steps, users can quickly find restaurants and dishes that meet their specific requirements and complete their orders. This system provides a smooth ordering experience even when taking into account allergies and dietary restrictions.

[1403] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1404] This invention is a system that allows users to easily find an appropriate hospital and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, allowing it to respond according to the user's psychological state. Below, we will explain how this system is specifically implemented.

[1405] System Configuration

[1406] User's terminal

[1407] Users use a device with an internet connection, such as a smartphone or PC. An interface is provided where users can input their symptoms and transportation options. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[1408] server

[1409] The server receives the symptom and transportation information sent by the user, as well as the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted as information to be displayed to the user.

[1410] Emotion Engine

[1411] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[1412] Program processing flow

[1413] Enter symptoms and transportation

[1414] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. This information is collected as input into the form. At the same time, the user's voice and facial expressions are captured by the camera and microphone and analyzed by the emotion engine.

[1415] Emotion recognition by emotion engine

[1416] The device sends the user's voice and facial expression data to the emotion engine, which analyzes the data and recognizes the user's current emotion (e.g., stress, anxiety, relief). This emotion recognition information is then sent to the server.

[1417] Hospital search

[1418] Based on the symptoms, transportation information, and emotion recognition information sent from the device to the server, the server searches a database for hospitals that meet the criteria, including the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[1419] Displaying hospital information

[1420] The server formats the search results to display the most relevant hospital information to the user. The displayed information includes the hospital's name, address, opening hours, and phone number. It may also display special messages or advice depending on the user's emotional state.

[1421] Providing a phone number for reservations

[1422] Along with the hospital information, the user is provided with a telephone number for making an appointment, which the user can use to call the hospital directly and make an appointment.

[1423] Automatic telephone function (optional)

[1424] In addition, the system also provides an automated voice call function, which allows users to simply press a button to automatically call the appointment phone number, making it even easier for users to schedule hospital appointments.

[1425] Specific examples

[1426] Example 1: User complains of fever and sore throat

[1427] The user inputs their symptoms of "fever" and "sore throat," as well as their preferred method of transportation, "walking." The device sends this information to the server. At the same time, an emotion engine that analyzes the user's facial expressions and voice recognizes "anxiety." The server then searches its database for hospitals that accept patients with fever, and lists those within walking distance. Information about the most suitable hospital and a phone number for making an appointment are displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice based on the data is also displayed.

[1428] Example 2: When a user suspects they have the flu and is under stress

[1429] The user inputs their symptoms of "fever" and "joint pain," and their mode of transportation, "bicycle." The device sends this information to the server. At the same time, the emotion engine analyzes the data and recognizes that the user is feeling "stressed." The server searches its database for hospitals that offer influenza tests and lists those that are accessible by bicycle. Information about the most suitable hospital and the phone number for making an appointment is displayed on the user's device. The user can then use this information to call the hospital and make an appointment. At this time, advice on how to relax and information about waiting times at the medical institution are also displayed.

[1430] This system allows users to quickly and easily find the most suitable medical institution even when they are unwell. It also provides support according to the user's emotional state, reducing the psychological burden. This system is extremely useful, especially when a quick response and psychological support are required.

[1431] The processing flow will be explained below.

[1432] Step 1:

[1433] A user opens a dedicated web or mobile application from a smartphone or computer.

[1434] Step 2:

[1435] The user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the application's input form. At the same time, the user's voice and facial expressions are captured by the camera and microphone.

[1436] Step 3:

[1437] The device collects the inputted information on symptoms and transportation, converts it into JSON format, and sends it to the server, along with voice and facial expression data, which are then sent to the emotion engine.

[1438] Step 4:

[1439] The server receives the JSON format data sent from the device, analyzes it, and extracts "symptoms" and "means of transportation" from the analyzed data.

[1440] Step 5:

[1441] The emotion engine analyzes voice and facial expression data to recognize the user's emotions (e.g., stress, anxiety, relief), and sends this information to the server.

[1442] Step 6:

[1443] The server searches the database for hospitals that meet the criteria based on the symptoms and transportation information analyzed by the server, as well as emotional information from the emotion engine. The search also takes into account the hospital's opening hours, whether it accepts patients with fever, and whether it offers influenza and COVID-19 testing.

[1444] Step 7:

[1445] The server organizes the filtered hospital information and creates a JSON object containing the hospital information that is most suitable for the user. Messages and advice based on emotional information are also added.

[1446] Step 8:

[1447] The server sends the organized information to the terminal as an HTTP response.

[1448] Step 9:

[1449] The device parses the JSON formatted hospital information received from the server and visually displays it to the user, including the hospital name, address, opening hours, phone number, and emotional advice.

[1450] Step 10:

[1451] The user checks the displayed hospital information and reservation phone number, and calls to make a reservation.

[1452] Step 11:

[1453] Optionally, if the user selects the auto-call feature, the terminal or server will initiate a process to automatically call the selected hospital's telephone number.

[1454] This process allows users to quickly and easily find an appropriate medical institution and also receive support that suits their feelings.

[1455] Example 2

[1456] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1457] Conventional technologies make it difficult for users to easily find a medical institution suited to their symptoms, and the appointment process is also complicated. Furthermore, in emergency situations, users face a significant psychological burden, requiring a prompt and appropriate response. The present invention solves these problems by providing a system that enables users to quickly find an appropriate medical institution and easily make an appointment. Another objective of the present invention is to reduce the psychological burden by analyzing the user's emotional state and providing support accordingly.

[1458] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1459] In this invention, the server includes means for a user to input symptoms and transportation means, means for collecting the input symptoms and transportation means and recording the user's voice and facial expression using a camera and microphone, means for analyzing the recorded voice and facial expression data using an emotion engine to recognize the user's emotional state, means for searching for hospitals based on the recognized emotional state data and the symptoms and transportation data, means for displaying optimal hospital information to the user as search results and special messages and advice according to the user's emotional state, and means for providing a telephone number for making an appointment. This enables the user to quickly find an appropriate medical institution and make an appointment, and also allows the user to receive support according to their emotional state, thereby reducing psychological burden.

[1460] "Symptoms" refer to abnormal physical conditions experienced by the user, specifically physical conditions such as fever or sore throat.

[1461] "Transportation" refers to the method used by the user to access a medical institution, and includes transportation methods such as walking and cycling.

[1462] "Terminal" refers to a device operated by a user, and includes devices that can connect to the Internet, such as smartphones and personal computers.

[1463] "Emotion engine" refers to a system that analyzes the user's voice and facial expression data and recognizes the user's emotional state.

[1464] "Emotional state" refers to the psychological state of the user as recognized by the emotion engine, and specifically includes emotions such as stress, anxiety, and relief.

[1465] A "server" refers to a computer system that receives data sent by a user, processes it, and provides the necessary information.

[1466] A "database" refers to a system for systematically storing and managing large amounts of data, such as hospital information.

[1467] "Hospital information" refers to information about medical institutions, specifically including details such as the hospital's name, address, reception hours, telephone number, and whether or not it can handle tests.

[1468] The "telephone number for reservations" refers to the contact telephone number that the user uses to make a reservation at a medical institution.

[1469] The "automatic telephone function" refers to a function in which the terminal automatically calls the reservation telephone number when the user presses a button.

[1470] "Special messages and advice" refers to additional information or instructions provided depending on the user's emotional state, including, for example, information on relaxation techniques and waiting times.

[1471] This invention is a system that allows users to easily find an appropriate medical institution and quickly make an appointment when they become ill. Furthermore, it incorporates an emotion engine that recognizes the user's emotions, and can respond according to the user's psychological state.

[1472] System Configuration

[1473] User's terminal

[1474] Users use devices with internet connectivity, such as smartphones or PCs. These devices are provided with an interface where they can input symptoms and transportation methods. This interface is provided as a web application or mobile application. The device also comes with a camera and microphone to detect the user's voice and facial expressions and recognize emotions.

[1475] server

[1476] The server receives the symptom and transportation information sent by the user, and the emotion recognition information sent by the emotion engine. Based on this, it searches the database for an appropriate hospital. The search results are formatted for display to the user.

[1477] Emotion Engine

[1478] The emotion engine analyzes the user's voice and facial expressions to recognize their emotional state (e.g., stress, relief, anxiety). This information is sent to the server, which then recommends appropriate medical institutions based on the user's psychological state.

[1479] Specific examples of program processing

[1480] Example 1: User complains of fever and sore throat

[1481] 1. The user logs into a smartphone application, enters "fever" and "sore throat," and selects "walking" as their mode of transportation.

[1482] 2. The device saves the input information and uses the camera and microphone to record and photograph voice and facial expressions. This data is then sent to the emotion engine.

[1483] 3. The emotion engine analyzes the voice and facial expression data to recognize "anxiety." The recognized information is sent to the server via the device.

[1484] 4. The server searches for an appropriate hospital from its database based on the received information on symptoms, transportation, and emotion recognition, and formats the information.

[1485] 5. The formatted information is displayed on the user's device, including the hospital's name, address, opening hours, phone number, and advice on how to alleviate anxiety.

[1486] 6. The user calls the hospital using the displayed phone number and makes an appointment.

[1487] Example prompt sentence:

[1488] "The user complains of a fever and sore throat and has chosen walking as their mode of transportation. Emotion recognition information indicates that the user is anxious. Please search for an appropriate hospital and provide the best hospital information and phone number for making an appointment."

[1489] Example 2: When a user suspects they have the flu and is under stress

[1490] 1. The user uses the application to input "fever" and "joint pain" and select "bicycle" as their mode of transportation.

[1491] 2. The device stores the input information and sends voice and facial expression data to the emotion engine.

[1492] 3. The emotion engine analyzes voice and facial expression data to recognize "stress." This information is sent to the server.

[1493] 4. Based on the information received, the server searches its database for hospitals that offer flu tests and are accessible by bicycle, and formats the information with advice on how to relax.

[1494] 5. The formatted information is displayed on the user's terminal.

[1495] 6. The user calls the hospital using the displayed phone number to make an appointment.

[1496] Example prompt sentence:

[1497] "The user suspects he has the flu and complains of fever and joint pain. He plans to use a bicycle as his means of transportation, and emotion recognition information indicates that he is feeling stressed. Please search for hospitals that offer flu tests and are accessible by bicycle, and provide the most suitable hospital information and phone number for making an appointment."

[1498] Hardware and software used

[1499] Hardware

[1500] User device: smartphone, PC

[1501] Input devices: camera, microphone

[1502] software

[1503] User Interface: Web applications, mobile applications

[1504] Emotion Engine: Voice and facial recognition software

[1505] Server system: Database management system, search algorithm

[1506] This system allows users to quickly and easily find an appropriate medical institution and make a reservation while reducing the psychological burden.

[1507] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1508] Step 1: User enters symptoms and transportation options

[1509] Users log in to a smartphone or PC application and enter their symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling). The specific input interface is a web form or a mobile input screen.

[1510] Input: Symptom information, transportation information

[1511] Output: The entered symptoms and transportation information will be saved on the device.

[1512] Step 2: Collect emotion recognition data

[1513] The device stores the information entered by the user, while simultaneously using the camera and microphone to collect the user's voice and facial expression data, which happens in the background and is ready for real-time data analysis.

[1514] Input: Audio and facial expression data from camera and microphone

[1515] Output: Voice data, facial expression data

[1516] Step 3: Emotion analysis using the emotion engine

[1517] The terminal transmits the collected voice and facial expression data to the emotion engine.

[1518] The emotion engine analyzes voice and facial expression data to recognize the user's emotional state (e.g., stress, anxiety, relief). The emotion engine performs analysis using machine learning models and AI technology.

[1519] Input: Voice data, facial expression data

[1520] Output: Emotion recognition information

[1521] Step 4: Send emotion recognition information and symptom information to the server

[1522] The terminal transmits the emotion recognition information, symptoms, and transportation information received from the emotion engine to the server.

[1523] Input: Emotion recognition information, symptom information, transportation information

[1524] Output: Data sent to the server

[1525] Step 5: Server searches for hospitals

[1526] The server receives the information sent from the device and searches the database for hospitals that meet the criteria, including the hospital's opening hours, whether it offers specific tests, and distance.

[1527] Input: Emotion recognition information, symptom information, transportation information

[1528] Data processing: Conditional filtering and ranking of searched hospitals

[1529] Output: List of hospitals that meet the criteria

[1530] Step 6: Format and submit hospital information

[1531] The server then formats the search results and compiles them into information to display to the user, including the hospital's name, address, opening hours, and phone number, along with special messages and advice based on the emotion recognition information.

[1532] Input: List of hospital information, emotion recognition information

[1533] Output: Formatted hospital information and appropriate advice

[1534] Step 7: View Hospital Information

[1535] The terminal receives the hospital information sent from the server and displays it to the user.

[1536] Input: Formatted hospital information

[1537] Output: Hospital information display screen

[1538] Step 8: Making a reservation

[1539] The user can make a reservation by calling the hospital directly using the reservation phone number displayed on the terminal, or by using the automated phone function if necessary.

[1540] Input: Phone number for reservation

[1541] Output: Appointment with hospital completed

[1542] This process allows users to quickly find an appropriate medical institution and easily make an appointment. It also helps reduce the psychological burden by providing special messages and advice based on emotion recognition.

[1543] (Application example 2)

[1544] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1545] With conventional systems, it was difficult for users to find an appropriate medical institution and quickly make an appointment when they became ill. Furthermore, the system did not respond to the user's psychological state, which increased the psychological burden. Furthermore, it took time and effort to find the appropriate medicines and products, making it difficult to provide prompt care to the user. There is a need to solve these problems.

[1546] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1547] In this invention, the server includes: a means for a user to input symptoms and transportation options; a means for searching for hospitals based on the input symptoms and transportation options; a means for detecting the user's voice and facial expression and recognizing their emotions; a means for suggesting appropriate medical institutions based on the recognized emotions; a means for displaying optimal hospital information to the user as search results; a means for providing a telephone number for making an appointment; a means for displaying optimal drug and product information to the user; and a means for providing special advice according to the user's emotional state. This allows the user to quickly find an appropriate medical institution and make an appointment, reducing psychological burden. Furthermore, the ability to easily find appropriate drugs and products enables prompt care.

[1548] "Symptom" refers to an abnormal physical or mental condition currently experienced by a user.

[1549] "Transportation" refers to the means used by the user to go to a medical institution (e.g., walking, car, bicycle, etc.).

[1550] "Search" refers to the act of finding the most suitable medical institution or product based on the conditions entered by the user.

[1551] "Emotion recognition" refers to the process of analyzing a user's voice and facial expressions to identify their psychological state.

[1552] "Medical institution" refers to a facility that provides medical services, such as a hospital, medical office, or clinic.

[1553] "Reservation" refers to the act of a user reserving a date and time in advance with a medical institution or pharmacy for an examination or to obtain a product.

[1554] "Telephone number" refers to the number used to contact a medical institution or pharmacy.

[1555] "Drug" means a medicine used to treat or alleviate a disease or symptom.

[1556] "Products" refers not only to pharmaceuticals but also to items related to maintaining or improving health (e.g., supplements, medical equipment, etc.).

[1557] "Advice" refers to advice or suggestions that correspond to the user's state or emotions.

[1558] The following describes in detail the embodiments of the present invention. This system uses devices such as smartphones, tablets, and PCs. Users use these devices to input information about their medical condition and transportation options and interact with the system's interface. The devices are also equipped with cameras and microphones for capturing voice and facial expressions.

[1559] The system consists of the following main components:

[1560] 1. User input:

[1561] Users input their symptoms (e.g., fever, headache) and mode of transportation (e.g., walking, car) through the application. The input interface is designed to be user-friendly, allowing users to provide information easily.

[1562] 2. Emotion recognition means:

[1563] This invention is equipped with an emotion engine for recognizing the user's emotions. Specifically, it uses the Emotion API of Microsoft Azure Cognitive Services to analyze the user's voice and facial expression data and recognize the user's emotional state (e.g., stress, anxiety). This data is sent to a server.

[1564] 3. Hospital search tools:

[1565] Based on the inputted symptoms and transportation information, as well as the emotion data obtained by the emotion recognition tool, the server searches the database for suitable hospitals, taking into account factors such as the hospital's opening hours and whether it offers certain tests.

[1566] 4. Search results display method:

[1567] The server then formats the search results and displays the most suitable hospital information on the user's device, including the hospital's name, address, opening hours, telephone number, and special messages and advice tailored to the user's psychological state.

[1568] 5. Reservation Method:

[1569] Users can easily access appointment phone numbers displayed in search results, and an optional auto-call feature allows users to automatically call the hospital with the touch of a button.

[1570] 6. Drug and product search methods:

[1571] In a more advanced form, a means is provided for searching for and displaying appropriate medicines and health-related products to the user according to the user's symptoms and emotional state.

[1572] 7. Means of Advice:

[1573] Providing tailored advice based on the user's emotional state. For example, if the user is feeling stressed, providing advice on how to relax or suggesting related products (e.g., herbal tea).

[1574] For example, if a user inputs the symptoms "fever" and "joint pain" and selects "bicycle" as their mode of transportation, the emotion engine will recognize that the user is feeling "stressed." Based on this information, the server will search for hospitals that offer influenza tests and list those that are accessible by bicycle. Information about the most suitable hospital will be displayed on the user's device, along with a phone number for making an appointment. Advice on how to reduce stress will also be displayed.

[1575] An example of a prompt is:

[1576] The user entered the symptoms "fever" and "joint pain" and selected the transportation method "bicycle." The emotion engine recognized the "stress" the user was feeling. Based on this information, generate an API request to suggest the best pharmacy and product for the user.

[1577] This system allows users to quickly and easily find the most suitable medical institution when they are unwell. It also provides support according to the user's emotional state, reducing psychological burden. Furthermore, it makes it easy to find necessary medicines and products, promoting prompt medical care for users.

[1578] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1579] Step 1:

[1580] The user accesses the application using a smartphone or tablet and enters their symptoms and mode of transportation. When the user enters their current symptoms (e.g., fever, sore throat) and mode of transportation (e.g., walking, cycling) into the input form, the information is temporarily stored on the device. The entered data is prepared for the next processing step.

[1581] Step 2:

[1582] The device captures the user's voice and facial expressions using a camera and microphone and sends them to the emotion engine. Specifically, it sends them to the Emotion API of Microsoft Azure Cognitive Services. The emotion engine analyzes the user's voice and facial expression data to identify the user's emotional state (e.g., stress, anxiety). The analyzed emotion recognition information is sent back to the device. This data is then sent to the server in the next step.

[1583] Step 3:

[1584] The device sends the user's inputted symptoms, transportation method, and emotion recognition information to the server. The server receives this data and checks it against a hospital database. Based on the analyzed data, the server searches for an appropriate medical institution, taking into account the hospital's acceptance status, reception hours, and whether it can handle specific tests. The search results are the output data for the next step.

[1585] Step 4:

[1586] The server then formats the search results and returns the most suitable hospital information to the user's device. This information includes the hospital's name, address, opening hours, phone number, etc. Special messages and advice based on the user's emotional state are also added. This information is then displayed on the user's device.

[1587] Step 5:

[1588] Based on the displayed information, the user can contact the medical institution using the reservation phone number. As an optional feature, the terminal offers an automatic phone call function. The user simply presses a button to automatically call the reservation phone number. This function allows the user to make reservations easily.

[1589] Step 6:

[1590] The server searches for the most suitable medicines and health-related products based on the user's symptoms and emotional state, and sends that information to the device. The user can then consider purchasing them at a pharmacy based on the displayed product information. This function allows users to quickly find the right medicines and supplements.

[1591] Step 7:

[1592] Special advice is provided depending on the user's emotional state. For example, if emotion recognition information indicates stress, the server will provide advice on how to relax and suggest related products, thereby reducing the user's psychological burden.

[1593] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1594] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1595] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1596] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1597] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1598] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1599] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1600] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1601] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1602] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1603] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1604] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1605] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1606] 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.

[1607] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1608] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1609] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1610] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1611] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1612] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1613] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1614] The following is further disclosed regarding the above embodiment.

[1615] (Claim 1)

[1616] means for a user to input symptoms and transportation options;

[1617] A way to search for hospitals based on the symptoms and transportation options entered,

[1618] A means for displaying optimal hospital information to a user as a search result;

[1619] a means for providing a telephone number for reservations;

[1620] A system including:

[1621] (Claim 2)

[1622] 2. The system of claim 1, further comprising means for automatically calling a reservation telephone number displayed to a user.

[1623] (Claim 3)

[1624] 2. The system according to claim 1, further comprising means for checking the reception hours of the hospital and whether a particular test is available based on input data from the user.

[1625] "Example 1"

[1626] (Claim 1)

[1627] means for a user to input symptoms and transportation options;

[1628] means for transmitting the input symptoms and transportation means to a server;

[1629] A means for searching for hospital information from a database based on the information received by the server;

[1630] A means for displaying optimal hospital information to a user as a search result;

[1631] a means for providing a telephone number for reservations;

[1632] A system including:

[1633] (Claim 2)

[1634] 2. The system of claim 1, further comprising means for automatically calling a reservation telephone number displayed to a user.

[1635] (Claim 3)

[1636] 2. The system according to claim 1, further comprising means for checking the reception hours of the hospital and whether a particular test is available based on input data from the user.

[1637] "Application Example 1"

[1638] (Claim 1)

[1639] means for a user to input conditional information;

[1640] a means for searching for a destination based on input criteria;

[1641] a means for displaying the most appropriate search results to the user;

[1642] a means of providing contact information for reservations;

[1643] A system including:

[1644] (Claim 2)

[1645] 10. The system of claim 1, further comprising means for automatically contacting the user based on the contact method for the reservation.

[1646] (Claim 3)

[1647] 2. The system according to claim 1, further comprising means for checking the reception hours and specific availability of the destination based on input data from the user.

[1648] "Example 2: Combining Emotion Engines"

[1649] (Claim 1)

[1650] means for a user to input symptoms and transportation options;

[1651] A means for collecting the input symptoms and transportation means and recording the user's voice and facial expression using a camera and a microphone;

[1652] means for analyzing the recorded voice and facial expression data using an emotion engine to recognize the user's emotional state;

[1653] a means for searching for a hospital based on the recognized emotional state data and the symptom and transportation data;

[1654] A means for displaying optimal hospital information to the user as a search result and displaying special messages and advice according to the emotional state of the user;

[1655] a means for providing a telephone number for reservations;

[1656] A system including:

[1657] (Claim 2)

[1658] 10. The system of claim 1, further comprising means for automatically calling the reservation telephone number displayed to the user.

[1659] (Claim 3)

[1660] The system according to claim 1, further comprising means for checking hospital reception hours and availability for specific tests based on input data from the user and the recognized emotional state, and creating a list of appropriate hospitals.

[1661] "Application example 2 when combining emotion engines"

[1662] (Claim 1)

[1663] means for a user to input symptoms and transportation options;

[1664] A way to search for hospitals based on the symptoms and transportation options entered,

[1665] means for sensing a user's voice and facial expression and recognizing emotions;

[1666] A means for suggesting appropriate medical facilities based on the recognized emotions;

[1667] A means for displaying optimal hospital information to a user as a search result;

[1668] a means for providing a telephone number for reservations;

[1669] A system including:

[1670] (Claim 2)

[1671] 10. The system of claim 1, further comprising means for automatically calling the reservation telephone number displayed to the user.

[1672] (Claim 3)

[1673] 2. The system according to claim 1, further comprising means for checking the reception hours of the hospital and the availability of a particular test based on input data from the user.

[1674] (Claim 4)

[1675] 10. The system of claim 1, further comprising means for displaying optimal drug or product information to the user.

[1676] (Claim 5)

[1677] 10. The system of claim 1, further comprising means for providing specialized advice depending on the user's emotional state. [Explanation of symbols]

[1678] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for a user to input symptoms and transportation options; A way to search for hospitals based on the symptoms and transportation options entered, A means for displaying optimal hospital information to a user as a search result; a means for providing a telephone number for reservations; A system including:

2. 2. The system of claim 1, further comprising means for automatically calling a reservation telephone number displayed to the user.

3. 2. The system according to claim 1, further comprising means for confirming the reception hours of a hospital and whether a particular examination is available based on data input by a user.

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