System

Abstract

A system is provided.SOLUTION: A system including a terminal to be worn on a body of a user, a server that receives and stores physical condition data transmitted from the terminal, AI means that analyzes the physical condition data and detects an abnormal value in the server, means that notifies a user and an emergency contact destination when the server detects the abnormal value, and means that automatically switches to satellite communication when a normal communication means cannot be used during a disaster.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] When a disaster occurs, it becomes difficult to confirm the safety of others due to the disruption of communication means, and there is a need for a means to quickly and accurately grasp the location information and physical condition of users even when regular mobile phones run out of battery or there is no signal.In addition, in everyday life, there is a need to constantly monitor health conditions and take preventive measures. [Means for solving the problem]

[0005] The present invention provides a system that includes a device worn on the user's body, a server that receives and stores health data transmitted from the device, an AI module that analyzes the health data within the server and detects abnormal values, a notification module when an abnormal value is detected, and a satellite communication module. The device also includes a GPS module that acquires location information and transmits it to the server. In the event of a disaster, if normal communication methods are unavailable, the system automatically switches to satellite communication and makes emergency calls as necessary. This allows for efficient safety confirmation during a disaster and daily health management.

[0006] A "terminal" is a device worn on the user's body that acquires physical condition data and location information and transmits it to a server.

[0007] A "server" is a central management system that receives, stores, and analyzes data sent from terminals.

[0008] "Physical condition data" refers to measurements that indicate the user's health condition, such as blood pressure and heart rate.

[0009] "AI means" refers to artificial intelligence functions that analyze health data and detect abnormal values.

[0010] "Notification means" is a mechanism for sending warnings and notifications to the user and emergency contacts when an abnormal value is detected.

[0011] A "satellite communications module" is a device that transmits and receives data using satellites when normal communications methods are unavailable.

[0012] "GPS Module" refers to a Global Positioning System receiver used to obtain User's location information.

[0013] "Emergency calling means" refers to a function that allows a user to make an emergency call using satellite communications as needed. [Brief explanation of the drawings]

[0014] [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 illustrating 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

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] 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).

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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."

[0022] [First embodiment]

[0023] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0024] 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.

[0025] 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).

[0026] 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.

[0027] 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.

[0028] 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.

[0029] 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.

[0030] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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."

[0035] The present invention is a system consisting of a terminal worn by a user, a server that manages data transmitted from the terminal, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster and to manage their daily health.

[0036] System Configuration

[0037] 1. Terminal

[0038] The terminal is a device worn on the user's body and has the following functions:

[0039] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0040] GPS module: Obtains the user's current location.

[0041] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0042] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0043] 2. Server

[0044] The server receives data sent from the terminal and has the following functions:

[0045] Data receiving module: Receives physical condition data and location information sent from the device.

[0046] Data storage module: Stores the received data in a database.

[0047] AI analysis module: Analyzes stored health data and detects abnormal values.

[0048] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0049] Health Report Module: Generates and provides health reports to users periodically.

[0050] Program processing flow

[0051] Normal processing

[0052] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[0053] 2. The measurement data and current location information are sent from the device to the server.

[0054] 3. The server stores the received data in a database.

[0055] 4. The saved data is analyzed using an AI analysis module to determine whether the values ​​are normal or abnormal.

[0056] 5. If an abnormal value is detected, the notification module notifies the user and emergency contacts.

[0057] 6. From the daily data, the server generates a monthly health report and provides it to the user.

[0058] For example, if a user measures their blood pressure at 8 a.m., the data is immediately sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is made. However, if it is an abnormal value, a notification module is used to send a warning message to the user.

[0059] Disaster Preparedness

[0060] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0061] 2. The device continuously transmits location information and health data to a server via satellite.

[0062] 3. The server determines the user's safety based on the received information and notifies them as necessary.

[0063] 4. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency contact.

[0064] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically start satellite communication. If the user becomes ill, the device will continue to collect health data and send it to the server. The server will receive the data and, if an abnormal value is detected, will send a notification to emergency contacts.

[0065] The present invention is a system that realizes quick safety confirmation in the event of a disaster and daily health management, and integrates various functions to protect the safety and health of users.

[0066] The processing flow will be explained below.

[0067] Normal processing

[0068] Step 1:

[0069] The device measures the user's physical condition data (blood pressure, heart rate, etc.) at regular intervals using sensors.

[0070] Step 2:

[0071] The device collects the measured physical condition data and current location information, packets them, and sends them to the server.

[0072] Step 3:

[0073] The server receives the data packets sent from the terminal and stores them in a database.

[0074] Step 4:

[0075] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[0076] Step 5:

[0077] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[0078] Step 6:

[0079] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[0080] Step 7:

[0081] Based on the data collected daily, the server generates a monthly health report and provides it to the user.

[0082] Disaster Preparedness

[0083] Step 1:

[0084] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0085] Step 2:

[0086] The terminal continues to transmit location information and physical condition data to the server via satellite at regular intervals.

[0087] Step 3:

[0088] The server receives the information sent from the terminal and stores it in a database in real time.

[0089] Step 4:

[0090] The server's AI analysis module analyzes the received data and evaluates the user's safety status.

[0091] Step 5:

[0092] When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and, if necessary, instructs them on how to take remedial action.

[0093] Step 6:

[0094] If the user needs to make an emergency call, the terminal will use satellite communications to make the emergency contact.

[0095] The present invention realizes quick safety confirmation in the event of a disaster and daily health management through the above-described processing flow.

[0096] Example 1

[0097] 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."

[0098] Two issues need to be resolved: the difficulty of quickly and accurately confirming users' safety during a disaster, and the efficient implementation of daily health management. In particular, conventional systems have limited communication methods, making it difficult to make emergency contact during a disaster, and sometimes analyzing daily health data and detecting abnormalities cannot be performed quickly and accurately.

[0099] 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.

[0100] In this invention, the server includes means for receiving and storing physical condition data and location data, analysis means for analyzing the physical condition data and location data to detect abnormal values, notification means for notifying the user and emergency contacts when an abnormal value is detected, and satellite communication means for automatically switching to satellite communication when normal communication means are unavailable during a disaster. This makes it possible to quickly and accurately confirm the safety of users even during a disaster, and enables efficient and accurate daily health management.

[0101] A "terminal" is a device that is worn on the user's body and acquires physical condition data and location data.

[0102] A "server" is a device that receives, stores, and analyzes data sent from a terminal.

[0103] "Physical condition data" refers to information relating to the user's biological body, such as blood pressure and heart rate.

[0104] "Location data" refers to information indicating the user's current location.

[0105] The "analysis means" is a device or software that analyzes the received physical condition data and location data and determines whether the values ​​are normal or abnormal.

[0106] The "notification means" is a device or software that notifies the user and emergency contacts when an abnormal value is detected.

[0107] "Satellite communication means" means a device that communicates data via satellite when conventional communication means are unavailable.

[0108] "Emergency Contact" refers to a third party or organization designated to be notified when an abnormal value is detected.

[0109] A "health report" is a report on the user's health condition that is created based on collected physical condition data.

[0110] This invention is a system consisting of a device worn by the user and a server that receives, stores, and analyzes data sent from the device. Its main purpose is to quickly confirm the safety of users in the event of a disaster and to manage their health on a daily basis.

[0111] System Configuration

[0112] 1. Terminal

[0113] A terminal is a device that has the following functions:

[0114] Sensor module: Measures the user's physical condition data such as blood pressure and heart rate.

[0115] GPS module: Obtains the user's current location.

[0116] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0117] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0118] For example, when a user wears a wristwatch-type device, the device uses its built-in optical and pressure sensors to collect blood flow data and analyze it to calculate blood pressure and heart rate. If normal communication methods are unavailable, the device automatically switches to a satellite communication module to transmit data.

[0119] 2. Server

[0120] The server is a device that has the following functions:

[0121] Data receiving module: Receives physical condition data and location information sent from the device.

[0122] Data storage module: Stores the received data in a database.

[0123] AI analysis module: Analyzes stored health data and detects abnormal values.

[0124] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0125] Health Report Module: Generates and provides health reports to users periodically.

[0126] Specifically, the server can analyze health data using Python's scikit-learn library. If an abnormal value is detected, a notification module will send detailed notifications to the user and emergency contacts using a dedicated application or SMS service.

[0127] Example of flow

[0128] Normal processing example

[0129] If a user measures their blood pressure at 8 a.m., the data is instantly sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is sent. If it is an abnormal value, a warning message is sent to the user using the notification module. The server also generates a monthly health report from daily data and provides it to the user via email or a dedicated app.

[0130] Example of input prompt sentence:

[0131] A user measures their blood pressure at 8am and sends the data to the server. Check whether the data is within the normal range or the abnormal range, and notify the user if it is within the abnormal range.

[0132] Examples of disaster response

[0133] If an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If a user becomes ill and presses the emergency button, their location and health data will be sent to the corresponding emergency contact.

[0134] Example of input prompt sentence:

[0135] An earthquake occurs, and the user falls ill while regular mobile networks are unavailable. The device should automatically start satellite communication and send health data to the server. If the server detects any abnormal values, it should notify emergency contacts.

[0136] In this way, the system aims to protect the safety and health of the user.

[0137] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0138] Step 1:

[0139] The device measures the user's physical condition data at specific time intervals. At this time, the sensor module collects blood pressure and heart rate, and the built-in GPS module obtains current location information. The user's biometric information and location information are provided as input, and these data are obtained as output.

[0140] Step 2:

[0141] The device sends the measured physical condition data and current location information to the server via the communication module. The input is the previously acquired physical condition data and location information, and the output is the data sent to the server. Specifically, the communication module transfers data using Wi-Fi or Bluetooth.

[0142] Step 3:

[0143] The server receives data sent from the device through a data receiving module and stores it in a database. The input is the received physical condition data and location information, and the output is data stored in the database in a structured format. Specifically, the data is stored and indexed in chronological order.

[0144] Step 4:

[0145] The server analyzes the stored data in real time using an AI analysis module. The input data is health data and location information stored in a database, and the output is a judgment result of whether the condition is normal or abnormal. Specifically, an anomaly detection algorithm is executed using the scikit-learn library.

[0146] Step 5:

[0147] If an abnormal value is detected, the server notifies the user and emergency contacts through the notification module. The input is the anomaly detection result from the AI ​​analysis module, and the output is whether or not a notification will be sent. Specifically, the notification module sends an alert via SMS, email, or a dedicated application.

[0148] Step 6:

[0149] The server periodically (e.g. monthly) generates a health report from the user's health data and provides it to the user. The input is the accumulated physical condition data, and the output is the generated health report. Specifically, the report is delivered to the user via email or a dedicated application.

[0150] (Application example 1)

[0151] 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."

[0152] Ensuring employee health and safety is crucial in today's work environment. However, it is not easy to provide employees with accurate information about their own health status and the means to respond quickly in emergencies. Managing employee location information and health status when normal communications are cut off during emergencies such as disasters is also a challenge. Therefore, there is a need for a comprehensive system that can monitor health data in real time and respond immediately when an abnormality is detected.

[0153] 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.

[0154] In this invention, the server includes a means for including an application installed on a smartphone for monitoring the employee's health status in real time, a means for acquiring location information using the smartphone's GPS function, a means for transmitting the health data and location information to a cloud server, and a means for generating and providing a health report based on the received data. This allows employees' health status to be monitored at any time and a prompt response to any abnormalities detected. Furthermore, in the event of a disaster, the server can manage the employee's location information and health status and respond promptly.

[0155] - "Terminal" refers to a device worn on the user's body that collects physical condition data and location information and transmits it to the server.

[0156] "Physical condition data" refers to data indicating the user's health condition, such as blood pressure, heart rate, and body temperature.

[0157] A "server" is a computer system that receives data sent from a terminal and processes it, such as storing, analyzing, notifying, and generating reports.

[0158] "AI means" refers to artificial intelligence technology that analyzes health data and detects abnormal values.

[0159] "Communication means" refers to the technology used to transmit data between the terminal and the server, including conventional communication and satellite communication.

[0160] A "satellite communications module" is hardware that enables communication via satellite when normal communication methods are unavailable, such as during a disaster.

[0161] A "GPS module" is hardware used to obtain the current location of a device.

[0162] "Notification means" refers to a technique for issuing a warning or notification to the user and emergency contacts when the server detects an abnormal value.

[0163] A "health report" is a report generated by the server that periodically compiles the user's health status.

[0164] A "smartphone application" is software that is installed on a smartphone and collects, transmits, and displays physical condition data and location information.

[0165] A "cloud server" is a remote server used to store, analyze, and process data over the Internet.

[0166] MODE FOR CARRYING OUT THE INVENTION

[0167] The present invention provides a health monitoring system for security services that includes a terminal worn on the user's body, a server that manages data, and supporting functions. Specific embodiments of the present invention are described below.

[0168] System Configuration

[0169] 1. Terminal

[0170] The terminal is a device worn on the user's body and has the following functions:

[0171] Sensor module: Regularly measures physical condition data such as blood pressure, heart rate, and body temperature.

[0172] GPS module: Obtains the user's current location.

[0173] Communication module: Bluetooth communication and satellite communication means for use in emergencies.

[0174] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0175] 2. Server

[0176] The server receives, stores, analyzes, notifies, and generates reports on data sent from the terminal. It has the following functions:

[0177] Data receiving module: Receives physical condition data and location information sent from the device.

[0178] Data storage module: Stores the received data in a database.

[0179] AI analysis module: Analyzes stored health data and detects abnormal values. Specific AI tools used include TensorFlow and PyTorch.

[0180] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0181] Health Report Module: Generates and provides health reports to users periodically.

[0182] 3. Smartphone Applications

[0183] The smartphone application is installed on the user's smartphone and works in conjunction with the device to achieve the following functions:

[0184] Data collection: Receives physical condition data from wearable devices via Bluetooth.

[0185] Location information acquisition: Location information is acquired using the smartphone's GPS function.

[0186] Data transmission: Collected physical condition data and location information are sent to a cloud server.

[0187] Processing Description

[0188] 1. Data Acquisition

[0189] The device periodically acquires health data using a sensor module and transfers it to a smartphone via Bluetooth, which then acquires location information using GPS.

[0190] 2. Data Transmission

[0191] The smartphone application sends the acquired physical condition data and location information to a cloud server using the HTTP(S) protocol.

[0192] 3. Data Analysis

[0193] The server stores the received data in a database. The received data is analyzed by an AI analysis module, which may detect outliers. In this case, the data is analyzed using AI tools such as TensorFlow and PyTorch.

[0194] 4. Notification

[0195] If an abnormal value is detected, the server's notification module generates an alert and notifies the user and emergency contacts via email, SMS, in-app notifications, and more.

[0196] 5. Health report generation

[0197] Periodically, the server generates and provides users and administrators with health reports detailing the user's health status and including comparisons with historical data.

[0198] Examples of specific examples and prompts

[0199] For example, if an employee wears a health monitoring device to work and their blood pressure is measured one morning and exceeds the normal range, the data is immediately sent to the server. The server analyzes the data, and if an abnormal value is detected, a notification is sent to the user and emergency contacts. In this way, the employee's health condition can be quickly identified and responded to.

[0200] An example prompt might look like this:

[0201] "Employees' blood pressure, heart rate, and body temperature are periodically collected from wearable devices, and the data is sent to a cloud server via a smartphone app. The server stores the data and uses an AI analysis module to monitor health conditions in real time. If any abnormal values ​​are detected, notifications are sent to employees and emergency contacts. Furthermore, health reports are periodically generated and provided to employees and managers."

[0202] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0203] Program processing flow

[0204] Step 1:

[0205] Users periodically collect physical condition data such as blood pressure, heart rate, and body temperature using a terminal (wearable device) worn on the body. The terminal's sensor module measures this data. The input is biometric information obtained from the user's body, and the output is physical condition data obtained via the sensor.

[0206] Step 2:

[0207] The device sends the measured physical condition data to the user's smartphone via Bluetooth communication. The smartphone application receives this data. The input is the physical condition data sent from the device, and the output is the health data stored in the smartphone application.

[0208] Step 3:

[0209] The smartphone uses its GPS function to obtain the user's current location. The smartphone's GPS sensor generates location information. The input is location data obtained from the smartphone's GPS sensor, and the output is the current location information.

[0210] Step 4:

[0211] The smartphone application sends the acquired physical condition data and location information to a cloud server via the Internet using the HTTP(S) protocol. The input is the health data and location information stored on the smartphone, and the output is the data sent to the cloud server.

[0212] Step 5:

[0213] The server stores the received health data and location information in a database. This is managed by the data storage module. The input is the health data and location information sent to the server, and the output is the data stored in the database.

[0214] Step 6:

[0215] The server's AI analysis module analyzes the health data stored in the database and detects abnormalities. It uses generative AI models such as TensorFlow or PyTorch. The input is the stored health data, and the output is the analysis result on whether or not there are any abnormalities.

[0216] Step 7:

[0217] If an anomaly is detected, the server uses the notification module to send a notification to the user and emergency contacts. Email, SMS, and in-app notifications are used. The input is the anomaly result obtained from the AI ​​analysis module, and the output is the notification message.

[0218] Step 8:

[0219] Periodically, the server generates health reports and provides them to users and administrators. This is done by a health report module, whose input is the entire period of health data stored in the database and whose output is a health report.

[0220] 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.

[0221] This invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[0222] System Configuration

[0223] 1. Terminal

[0224] The terminal is a device worn on the user's body and has the following functions:

[0225] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0226] GPS module: Obtains the user's current location.

[0227] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0228] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0229] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0230] 2. Server

[0231] The server receives data sent from the terminal and has the following functions:

[0232] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0233] Data storage module: Stores the received data in a database.

[0234] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[0235] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0236] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0237] Health Report Module: Generates and provides health reports to users periodically.

[0238] Program processing flow

[0239] Normal processing

[0240] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[0241] 2. The measured physical condition data, current location information, and emotion data generated by the emotion engine are sent from the device to the server.

[0242] 3. The server stores the received data in a database.

[0243] 4. The AI ​​analysis module analyzes the health data and evaluates the normality of the data.

[0244] 5. If an abnormality is detected, the notification module notifies the user and emergency contacts.

[0245] 6. The emotion data analysis module analyzes the emotion data and evaluates the user's emotional state.

[0246] 7. Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0247] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[0248] Disaster Preparedness

[0249] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0250] 2. The device will continue to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[0251] 3. The server stores the received information in a database in real time.

[0252] 4. The AI ​​analysis module analyzes the received data and evaluates the user's safety status.

[0253] 5. When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and instructs rescue measures if necessary.

[0254] 6. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency call.

[0255] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[0256] In this way, the present invention is a system that not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[0257] The processing flow will be explained below.

[0258] Normal processing

[0259] Step 1:

[0260] The device measures the user's physical condition data (blood pressure and heart rate) at regular intervals using sensors.

[0261] Step 2:

[0262] The device collects measured physical condition data, current location information, and emotional data analyzed by an emotion engine.

[0263] Step 3:

[0264] The terminal transmits the collected data packets to the server.

[0265] Step 4:

[0266] The server receives the data packets sent from the terminal and stores them in a database.

[0267] Step 5:

[0268] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[0269] Step 6:

[0270] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[0271] Step 7:

[0272] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[0273] Step 8:

[0274] An emotion data analysis module analyzes emotion data from the received data and evaluates the user's emotional state.

[0275] Step 9:

[0276] If significant emotional fluctuations are detected, the notification module will provide the user with advice on stress management and mental health.

[0277] Step 10:

[0278] Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0279] Disaster Preparedness

[0280] Step 1:

[0281] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0282] Step 2:

[0283] The terminal transmits location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[0284] Step 3:

[0285] The server receives the information sent from the terminal and stores it in a database in real time.

[0286] Step 4:

[0287] The server's AI analysis module analyzes the received data and evaluates the user's health and safety.

[0288] Step 5:

[0289] If the server detects an abnormal value, the notification module notifies the user and emergency contacts and instructs them on how to take action.

[0290] Step 6:

[0291] If necessary, the user can make an emergency call using the terminal's satellite communication function.

[0292] For example, if an earthquake occurs and normal communication methods become unavailable, the device will automatically switch to satellite communication. If the user is unwell and emotionally unstable, the device will continuously transmit this data to the server. The server will then analyze this data and, if necessary, send an emergency notification and provide appropriate assistance depending on the situation.

[0293] Example 2

[0294] 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."

[0295] In recent years, the importance of quickly confirming the safety of users during disasters and daily health management has increased. However, conventional systems have difficulty comprehensively collecting and analyzing users' physical condition data, acquiring location information, and monitoring their emotional state. Furthermore, they are inadequate in responding to situations in which normal communication methods become unavailable during disasters. Additionally, there is a lack of methods for assessing emotional state and providing appropriate feedback based on that assessment. This makes it difficult to achieve comprehensive health maintenance and rapid response.

[0296] 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.

[0297] In this invention, the server includes an artificial intelligence unit that analyzes physical condition data and detects abnormal values, a unit that notifies the user and emergency contacts, and a unit that analyzes emotional data and evaluates the user's emotional state. This enables comprehensive management and analysis of the user's physical condition data and location information, and in the event of a disaster, it can quickly switch to satellite communication to confirm the user's safety. In addition to daily health conditions, the server can also monitor emotional states and provide appropriate feedback to the user.

[0298] A "terminal" is a device worn on the user's body, and includes a sensor module, a GPS module, a communication module, an emergency call means, an emotion engine, and the like.

[0299] A "sensor module" is a component that has the function of periodically measuring a user's physical condition data, such as blood pressure and heart rate.

[0300] A "GPS module" is a component that has the function of obtaining the user's current location using the Global Positioning System.

[0301] A "communication module" is a component that provides communication means for transmitting and receiving data, and includes normal communication means and satellite communication means used in emergencies.

[0302] An "emergency call means" is a means that provides a function that allows a user to make a call in an emergency.

[0303] The "emotion engine" is a function that includes an algorithm that analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0304] A "server" is a computer system that receives and manages data sent from a terminal, and is a device that includes a data receiving module, a data storage module, an AI analysis module, a notification module, an emotion data analysis module, and a health report module.

[0305] The "data receiving module" is a component that provides the function of receiving physical condition data, emotional data, and location information sent from the terminal.

[0306] A "data storage module" is a component that provides the function of storing received data in a database.

[0307] The "AI analysis module" is a function that includes artificial intelligence that analyzes stored health data and detects abnormal values ​​in the data.

[0308] The "notification module" is a component that provides a function to notify the user and emergency contacts when an abnormal value is detected.

[0309] The "emotion data analysis module" is a component that provides a function for analyzing stored emotion data and evaluating the user's emotional state.

[0310] The "health report module" is a component that provides the functionality to generate and provide a comprehensive health report to the user based on the data collected daily.

[0311] A "satellite communication module" is a component that provides the function of automatically switching to satellite communication when normal communication methods are unavailable during a disaster.

[0312] The present invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[0313] System Configuration

[0314] 1. Terminal

[0315] The terminal is a device worn on the user's body and has the following functions:

[0316] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0317] GPS module: Obtains the user's current location.

[0318] Communications module: Includes normal communications means and satellite communications means for use in emergencies.

[0319] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0320] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0321] 2. Server

[0322] The server receives data sent from the terminal and has the following functions:

[0323] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0324] Data storage module: Stores the received data in a database.

[0325] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[0326] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0327] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0328] Health Report Module: Generates and provides health reports to users periodically.

[0329] System Operation

[0330] Normal operation

[0331] The device periodically measures the user's blood pressure and heart rate using a sensor module. The device then sends the measured physical condition data, current location information, and emotional data generated by an emotion engine to a server. The server then stores the received data in a database, where an AI analysis module analyzes the physical condition data to assess its normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data to assess the user's emotional state. Finally, based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0332] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[0333] Operation in the event of a disaster

[0334] When a disaster occurs and normal means of communication become unavailable, the device automatically switches to satellite communication mode. The device continues to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals. The server stores the received information in a database in real time, and an AI analysis module analyzes the received data to evaluate the user's safety. If an abnormal value is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures. If the user needs to make an emergency call, the device's satellite communication module is used to make the emergency contact.

[0335] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[0336] Examples of prompts:

[0337] Please explain the algorithm of the system that measures blood pressure at 8am and sends the voice data analyzed by the emotion engine to the server.

[0338] What is the communication flow between the terminal and the server in the event of an earthquake?

[0339] As a result, this system not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[0340] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0341] Step 1:

[0342] The device measures the user's blood pressure and heart rate at regular intervals. Specifically, the sensor module captures the user's physical condition data. The input is physiological signals from the user's body, and the output is blood pressure and heart rate data.

[0343] Step 2:

[0344] The device receives measured physical condition data (input), current location information (data obtained from the GPS module), and emotional data analyzed by the emotion engine (evaluation of the user's emotional state based on the user's voice data). Specifically, the GPS module measures the current location, and the emotion engine analyzes the voice data. The output is physical condition data, location information, and emotional data.

[0345] Step 3:

[0346] The device transmits these data to the server via a communication module. The input is physical condition data, location information, and emotion data, and the output is data transmission to the server.

[0347] Step 4:

[0348] The server uses the data receiving module to receive data sent from the terminal. The input is data from the terminal, and the output is storing the data in the server's internal memory. Specifically, the server receives data via the network and temporarily stores the received data.

[0349] Step 5:

[0350] The server uses a data storage module to persistently store the received data in a database. The input is the received data, and the output is the data stored in the database. Specific operations on the database are insert operations using SQL queries.

[0351] Step 6:

[0352] The AI ​​analysis module in the server analyzes the health data stored in the database and evaluates the normality of the data. The input is the health data in the database, and the output is the analysis results. Specifically, the AI ​​model executes an algorithm to detect outliers. A machine learning predictive model is used for this calculation.

[0353] Step 7:

[0354] If an anomaly is detected, the server uses a notification module to notify the user and emergency contacts. The input is the anomaly flag from the analysis results, and the output is an alert notification to the user and emergency contacts. Specific communication methods used include sending email, SMS, and push notifications.

[0355] Step 8:

[0356] The emotion data analysis module in the server analyzes the stored emotion data and evaluates the user's emotional state. The input is the emotion data from the database, and the output is the evaluation result of the emotional state. Specifically, the emotion analysis algorithm analyzes the voice data and evaluates stress levels and emotional fluctuations.

[0357] Step 9:

[0358] The server generates health reports based on the data collected daily and provides them to users. The input is all the data stored in the database, and the output is a comprehensive health report. Specifically, the report generation module periodically aggregates the data and formats it into a report. For example, a PDF generation library is used to create the report.

[0359] Step 10:

[0360] In the event of a disaster, if normal communication methods become unavailable, the device will automatically switch to satellite communication mode. The input is the detection of an abnormality in the communication status, and the output is a switch in communication methods. Specifically, the communication module automatically changes its internal settings to switch to satellite communication mode.

[0361] (Application example 2)

[0362] 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."

[0363] Conventional technologies do not suggest appropriate meals based on the user's health or emotional state, and food delivery services in particular have had the problem of providing meals without taking into account the user's physical condition or emotions. Furthermore, in the event of a disaster, it is difficult to confirm the safety of users and manage their health, so a rapid response is required.

[0364] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal worn on the user's body, means for receiving and storing physical condition data and emotional data transmitted from the terminal, AI means in the server for analyzing the physical condition data and emotional data and detecting abnormal values, means for notifying the user and emergency contacts when the server detects an abnormal value, a satellite communication module for automatically switching to satellite communication if normal communication means are unavailable during a disaster, and means for suggesting appropriate meals based on the user's emotional data and automatically delivering food. This makes it possible to suggest appropriate meals based on the user's physical condition and emotional state and automatically deliver food as needed. It also enables rapid safety confirmation and health management even during a disaster.

[0365] Yes, we have created definitions of important words included in the patent claims below according to application examples.

[0366] "User" refers to a person who uses the system.

[0367] A "terminal" refers to a device that is worn on the user's body and acquires and transmits physical condition data and emotional data.

[0368] "Physical condition data" refers to information about the user's physical condition, such as the user's blood pressure and heart rate.

[0369] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and behavioral patterns.

[0370] "Server" refers to a computer system that receives, stores, and analyzes physical condition data and emotional data sent from a terminal.

[0371] "AI means" refers to artificial intelligence technology that analyzes physical condition data and emotional data within a server and detects abnormal values.

[0372] "Means for notifying" refers to a means for notifying the user and emergency contacts of an abnormality when the server detects an abnormal value.

[0373] A "satellite communication module" refers to a device for satellite communication when normal communication means are unavailable during a disaster.

[0374] The "means for suggesting meals" refers to a means for selecting and notifying an appropriate meal based on the user's emotional data.

[0375] "Means for automated food delivery" means means for ordering meals using a food delivery service based on suggested meals.

[0376] This system consists of a device worn by the user and a server that manages the data transmitted from the device. The system's purpose is to suggest appropriate meals based on the user's physical and emotional state and automatically execute food delivery. It also supports rapid safety confirmation and health management in the event of a disaster.

[0377] System Configuration

[0378] 1. Terminal

[0379] The terminal is a device worn on the user's body and has the following main functions:

[0380] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0381] GPS module: Obtains the user's current location.

[0382] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0383] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0384] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0385] 2. Server

[0386] The server is a computer system that receives, stores, analyzes, and responds to data sent from devices. It has the following functions:

[0387] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0388] Data storage module: Stores the received data in a database.

[0389] AI analysis module: Analyzes stored health data and detects abnormal values.

[0390] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0391] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0392] Health Report Module: Generates and provides health reports to users periodically.

[0393] Meal suggestion module: Suggests appropriate meals based on the user's emotional state.

[0394] Food delivery management module: Automatically delivers food based on suggested meals.

[0395] Operation flow

[0396] Normal processing

[0397] First, the device measures the user's blood pressure and heart rate at regular intervals and sends this data, along with their current location and emotional data generated by the emotion engine, to the server. The server receives and stores this data, and the AI ​​analysis module analyzes the physical condition data to assess normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data and assesses the user's emotional state. Based on this, the server suggests appropriate meals and automatically arranges food delivery if necessary.

[0398] Disaster Preparedness

[0399] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode. It continuously transmits location information, physical condition data, and emotional data to a server at regular intervals. The server receives this information and stores it in a database in real time. An AI analysis module analyzes the received data to assess the user's safety and physical condition. If an abnormality is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures.

[0400] Specific examples

[0401] If a user measures their blood pressure at 8 a.m. and the emotion engine analyzes the voice data at that time, this data is immediately sent to the server. The server analyzes this data and immediately notifies them if any abnormalities are detected. It also provides appropriate mental health advice if the user's emotional state is unstable. Furthermore, it suggests healthy meals such as "soup" based on the emotion data and automatically places an order through food delivery.

[0402] Prompt Sentence Examples

[0403] "Based on the data of user ID '123456', please analyze the user's current physical and emotional state. Based on the results, please suggest an appropriate healthy meal and complete the order via food delivery service."

[0404] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0405] Step 1:

[0406] The server receives physical condition data and emotional data sent by the user. The inputs include blood pressure, heart rate, location information, and voice data sent from the user's terminal. The output is the received data. Specifically, the server uses a data reception module to receive data via a communication protocol (e.g., HTTPS).

[0407] Step 2:

[0408] The server stores the received physical condition data and emotion data in a database. The input is the data received in step 1. The output is the data stored in the database. Specifically, the server uses a data storage module to record the data in a database management system (e.g., MySQL, PostgreSQL).

[0409] Step 3:

[0410] The server analyzes the stored health data using an AI analysis module to detect outliers. The input is the health data stored in the database. The output is a flag indicating whether an outlier was detected. Specifically, the AI ​​analysis module processes the data using a machine learning model (e.g., TensorFlow, scikit-learn) to detect outliers that exceed a threshold.

[0411] Step 4:

[0412] If an abnormal value is detected, the server notifies the user and emergency contacts using the notification module. The input is information that an abnormal value has been detected. The output is a notification message to the user and emergency contacts. Specifically, the server uses the notification module to send emails, SMS, push notifications, etc.

[0413] Step 5:

[0414] The server analyzes the stored emotional data using an emotional data analysis module to evaluate the user's emotional state. The input is the emotional data stored in the database. The output is the evaluation result of the emotional state. Specifically, the emotional data analysis module analyzes the data using natural language processing technology (e.g., NLP model, Sentiment Analysis API).

[0415] Step 6:

[0416] The server suggests appropriate meals based on the user's emotional state. The input is the evaluation result of the user's emotional state. The output is a suggested meal menu. Specifically, the meal suggestion module uses pre-defined rules and AI models based on the user's emotional and health data to select appropriate meals.

[0417] Step 7:

[0418] The server orders the suggested meals from a food delivery service. The input is the meal menu and the user's location information. The output is the order information sent to the food delivery service. Specifically, the food delivery management module uses an external API (e.g., food delivery service API) to send the order in a specified format.

[0419] Step 8:

[0420] When a disaster occurs and normal communication methods are unavailable, the terminal automatically switches to satellite communication mode. The input is the result of checking the communication status. The output is an instruction to start satellite communication mode. Specifically, the terminal switches the communication module to prepare to switch to satellite communication and continue transmitting data.

[0421] Step 9:

[0422] When an emergency call is required, the terminal uses the satellite communication module to make the emergency contact. The input is an emergency call request made by the user. The output is the result of the emergency call execution. Specifically, the terminal makes a call to the emergency contact using the satellite communication module.

[0423] In this way, it is possible to provide appropriate meal suggestions and food delivery based on the user's physical and emotional state, as well as quickly confirm the user's safety and manage their health in the event of a disaster.

[0424] 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.

[0425] 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.

[0426] 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.

[0427] [Second embodiment]

[0428] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0429] 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.

[0430] 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).

[0431] 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.

[0432] 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.

[0433] 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).

[0434] 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.

[0435] 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.

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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."

[0440] The present invention is a system consisting of a terminal worn by a user, a server that manages data transmitted from the terminal, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster and to manage their daily health.

[0441] System Configuration

[0442] 1. Terminal

[0443] The terminal is a device worn on the user's body and has the following functions:

[0444] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0445] GPS module: Obtains the user's current location.

[0446] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0447] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0448] 2. Server

[0449] The server receives data sent from the terminal and has the following functions:

[0450] Data receiving module: Receives physical condition data and location information sent from the device.

[0451] Data storage module: Stores the received data in a database.

[0452] AI analysis module: Analyzes stored health data and detects abnormal values.

[0453] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0454] Health Report Module: Generates and provides health reports to users periodically.

[0455] Program processing flow

[0456] Normal processing

[0457] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[0458] 2. The measurement data and current location information are sent from the device to the server.

[0459] 3. The server stores the received data in a database.

[0460] 4. The saved data is analyzed using an AI analysis module to determine whether the values ​​are normal or abnormal.

[0461] 5. If an abnormal value is detected, the notification module notifies the user and emergency contacts.

[0462] 6. From the daily data, the server generates a monthly health report and provides it to the user.

[0463] For example, if a user measures their blood pressure at 8 a.m., the data is immediately sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is made. However, if it is an abnormal value, a notification module is used to send a warning message to the user.

[0464] Disaster Preparedness

[0465] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0466] 2. The device continuously transmits location information and health data to a server via satellite.

[0467] 3. The server determines the user's safety based on the received information and notifies them as necessary.

[0468] 4. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency contact.

[0469] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically start satellite communication. If the user becomes ill, the device will continue to collect health data and send it to the server. The server will receive the data and, if an abnormal value is detected, will send a notification to emergency contacts.

[0470] The present invention is a system that realizes quick safety confirmation in the event of a disaster and daily health management, and integrates various functions to protect the safety and health of users.

[0471] The processing flow will be explained below.

[0472] Normal processing

[0473] Step 1:

[0474] The device measures the user's physical condition data (blood pressure, heart rate, etc.) at regular intervals using sensors.

[0475] Step 2:

[0476] The device collects the measured physical condition data and current location information, packets them, and sends them to the server.

[0477] Step 3:

[0478] The server receives the data packets sent from the terminal and stores them in a database.

[0479] Step 4:

[0480] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[0481] Step 5:

[0482] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[0483] Step 6:

[0484] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[0485] Step 7:

[0486] Based on the data collected daily, the server generates a monthly health report and provides it to the user.

[0487] Disaster Preparedness

[0488] Step 1:

[0489] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0490] Step 2:

[0491] The terminal continues to transmit location information and physical condition data to the server via satellite at regular intervals.

[0492] Step 3:

[0493] The server receives the information sent from the terminal and stores it in a database in real time.

[0494] Step 4:

[0495] The server's AI analysis module analyzes the received data and evaluates the user's safety status.

[0496] Step 5:

[0497] When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and, if necessary, instructs them on how to take remedial action.

[0498] Step 6:

[0499] If the user needs to make an emergency call, the terminal will use satellite communications to make the emergency contact.

[0500] The present invention realizes quick safety confirmation in the event of a disaster and daily health management through the above-described processing flow.

[0501] Example 1

[0502] 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."

[0503] Two issues need to be resolved: the difficulty of quickly and accurately confirming users' safety during a disaster, and the efficient implementation of daily health management. In particular, conventional systems have limited communication methods, making it difficult to make emergency contact during a disaster, and sometimes analyzing daily health data and detecting abnormalities cannot be performed quickly and accurately.

[0504] 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.

[0505] In this invention, the server includes means for receiving and storing physical condition data and location data, analysis means for analyzing the physical condition data and location data to detect abnormal values, notification means for notifying the user and emergency contacts when an abnormal value is detected, and satellite communication means for automatically switching to satellite communication when normal communication means are unavailable during a disaster. This makes it possible to quickly and accurately confirm the safety of users even during a disaster, and enables efficient and accurate daily health management.

[0506] A "terminal" is a device that is worn on the user's body and acquires physical condition data and location data.

[0507] A "server" is a device that receives, stores, and analyzes data sent from a terminal.

[0508] "Physical condition data" refers to information relating to the user's biological body, such as blood pressure and heart rate.

[0509] "Location data" refers to information indicating the user's current location.

[0510] The "analysis means" is a device or software that analyzes the received physical condition data and location data and determines whether the values ​​are normal or abnormal.

[0511] The "notification means" is a device or software that notifies the user and emergency contacts when an abnormal value is detected.

[0512] "Satellite communication means" means a device that communicates data via satellite when conventional communication means are unavailable.

[0513] "Emergency Contact" refers to a third party or organization designated to be notified when an abnormal value is detected.

[0514] A "health report" is a report on the user's health condition that is created based on collected physical condition data.

[0515] This invention is a system consisting of a device worn by the user and a server that receives, stores, and analyzes data sent from the device. Its main purpose is to quickly confirm the safety of users in the event of a disaster and to manage their health on a daily basis.

[0516] System Configuration

[0517] 1. Terminal

[0518] A terminal is a device that has the following functions:

[0519] Sensor module: Measures the user's physical condition data such as blood pressure and heart rate.

[0520] GPS module: Obtains the user's current location.

[0521] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0522] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0523] For example, when a user wears a wristwatch-type device, the device uses its built-in optical and pressure sensors to collect blood flow data and analyze it to calculate blood pressure and heart rate. If normal communication methods are unavailable, the device automatically switches to a satellite communication module to transmit data.

[0524] 2. Server

[0525] The server is a device that has the following functions:

[0526] Data receiving module: Receives physical condition data and location information sent from the device.

[0527] Data storage module: Stores the received data in a database.

[0528] AI analysis module: Analyzes stored health data and detects abnormal values.

[0529] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0530] Health Report Module: Generates and provides health reports to users periodically.

[0531] Specifically, the server can analyze health data using Python's scikit-learn library. If an abnormal value is detected, a notification module will send detailed notifications to the user and emergency contacts using a dedicated application or SMS service.

[0532] Example of flow

[0533] Normal processing example

[0534] If a user measures their blood pressure at 8 a.m., the data is instantly sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is sent. If it is an abnormal value, a warning message is sent to the user using the notification module. The server also generates a monthly health report from daily data and provides it to the user via email or a dedicated app.

[0535] Example of input prompt sentence:

[0536] A user measures their blood pressure at 8am and sends the data to the server. Check whether the data is within the normal range or the abnormal range, and notify the user if it is within the abnormal range.

[0537] Examples of disaster response

[0538] If an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If a user becomes ill and presses the emergency button, their location and health data will be sent to the corresponding emergency contact.

[0539] Example of input prompt sentence:

[0540] An earthquake occurs, and the user falls ill while regular mobile networks are unavailable. The device should automatically start satellite communication and send health data to the server. If the server detects any abnormal values, it should notify emergency contacts.

[0541] In this way, the system aims to protect the safety and health of the user.

[0542] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0543] Step 1:

[0544] The device measures the user's physical condition data at specific time intervals. At this time, the sensor module collects blood pressure and heart rate, and the built-in GPS module obtains current location information. The user's biometric information and location information are provided as input, and these data are obtained as output.

[0545] Step 2:

[0546] The device sends the measured physical condition data and current location information to the server via the communication module. The input is the previously acquired physical condition data and location information, and the output is the data sent to the server. Specifically, the communication module transfers data using Wi-Fi or Bluetooth.

[0547] Step 3:

[0548] The server receives data sent from the device through a data receiving module and stores it in a database. The input is the received physical condition data and location information, and the output is data stored in the database in a structured format. Specifically, the data is stored and indexed in chronological order.

[0549] Step 4:

[0550] The server analyzes the stored data in real time using an AI analysis module. The input data is health data and location information stored in a database, and the output is a judgment result of whether the condition is normal or abnormal. Specifically, an anomaly detection algorithm is executed using the scikit-learn library.

[0551] Step 5:

[0552] If an abnormal value is detected, the server notifies the user and emergency contacts through the notification module. The input is the anomaly detection result from the AI ​​analysis module, and the output is whether or not a notification will be sent. Specifically, the notification module sends an alert via SMS, email, or a dedicated application.

[0553] Step 6:

[0554] The server periodically (e.g. monthly) generates a health report from the user's health data and provides it to the user. The input is the accumulated physical condition data, and the output is the generated health report. Specifically, the report is delivered to the user via email or a dedicated application.

[0555] (Application example 1)

[0556] 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."

[0557] Ensuring employee health and safety is crucial in today's work environment. However, it is not easy to provide employees with accurate information about their own health status and the means to respond quickly in emergencies. Managing employee location information and health status when normal communications are cut off during emergencies such as disasters is also a challenge. Therefore, there is a need for a comprehensive system that can monitor health data in real time and respond immediately when an abnormality is detected.

[0558] 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.

[0559] In this invention, the server includes a means for including an application installed on a smartphone for monitoring the employee's health status in real time, a means for acquiring location information using the smartphone's GPS function, a means for transmitting the health data and location information to a cloud server, and a means for generating and providing a health report based on the received data. This allows employees' health status to be monitored at any time and a prompt response to any abnormalities detected. Furthermore, in the event of a disaster, the server can manage the employee's location information and health status and respond promptly.

[0560] - "Terminal" refers to a device worn on the user's body that collects physical condition data and location information and transmits it to the server.

[0561] "Physical condition data" refers to data indicating the user's health condition, such as blood pressure, heart rate, and body temperature.

[0562] A "server" is a computer system that receives data sent from a terminal and processes it, such as storing, analyzing, notifying, and generating reports.

[0563] "AI means" refers to artificial intelligence technology that analyzes health data and detects abnormal values.

[0564] "Communication means" refers to the technology used to transmit data between the terminal and the server, including conventional communication and satellite communication.

[0565] A "satellite communications module" is hardware that enables communication via satellite when normal communication methods are unavailable, such as during a disaster.

[0566] A "GPS module" is hardware used to obtain the current location of a device.

[0567] "Notification means" refers to a technique for issuing a warning or notification to the user and emergency contacts when the server detects an abnormal value.

[0568] A "health report" is a report generated by the server that periodically compiles the user's health status.

[0569] A "smartphone application" is software that is installed on a smartphone and collects, transmits, and displays physical condition data and location information.

[0570] A "cloud server" is a remote server used to store, analyze, and process data over the Internet.

[0571] MODE FOR CARRYING OUT THE INVENTION

[0572] The present invention provides a health monitoring system for security services that includes a terminal worn on the user's body, a server that manages data, and supporting functions. Specific embodiments of the present invention are described below.

[0573] System Configuration

[0574] 1. Terminal

[0575] The terminal is a device worn on the user's body and has the following functions:

[0576] Sensor module: Regularly measures physical condition data such as blood pressure, heart rate, and body temperature.

[0577] GPS module: Obtains the user's current location.

[0578] Communication module: Bluetooth communication and satellite communication means for use in emergencies.

[0579] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0580] 2. Server

[0581] The server receives, stores, analyzes, notifies, and generates reports on data sent from the terminal. It has the following functions:

[0582] Data receiving module: Receives physical condition data and location information sent from the device.

[0583] Data storage module: Stores the received data in a database.

[0584] AI analysis module: Analyzes stored health data and detects abnormal values. Specific AI tools used include TensorFlow and PyTorch.

[0585] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0586] Health Report Module: Generates and provides health reports to users periodically.

[0587] 3. Smartphone Applications

[0588] The smartphone application is installed on the user's smartphone and works in conjunction with the device to achieve the following functions:

[0589] Data collection: Receives physical condition data from wearable devices via Bluetooth.

[0590] Location information acquisition: Location information is acquired using the smartphone's GPS function.

[0591] Data transmission: Collected physical condition data and location information are sent to a cloud server.

[0592] Processing Description

[0593] 1. Data Acquisition

[0594] The device periodically acquires health data using a sensor module and transfers it to a smartphone via Bluetooth, which then acquires location information using GPS.

[0595] 2. Data Transmission

[0596] The smartphone application sends the acquired physical condition data and location information to a cloud server using the HTTP(S) protocol.

[0597] 3. Data Analysis

[0598] The server stores the received data in a database. The received data is analyzed by an AI analysis module, which may detect outliers. In this case, the data is analyzed using AI tools such as TensorFlow and PyTorch.

[0599] 4. Notification

[0600] If an abnormal value is detected, the server's notification module generates an alert and notifies the user and emergency contacts via email, SMS, in-app notifications, and more.

[0601] 5. Health report generation

[0602] Periodically, the server generates and provides users and administrators with health reports detailing the user's health status and including comparisons with historical data.

[0603] Examples of specific examples and prompts

[0604] For example, if an employee wears a health monitoring device to work and their blood pressure is measured one morning and exceeds the normal range, the data is immediately sent to the server. The server analyzes the data, and if an abnormal value is detected, a notification is sent to the user and emergency contacts. In this way, the employee's health condition can be quickly identified and responded to.

[0605] An example prompt might look like this:

[0606] "Employees' blood pressure, heart rate, and body temperature are periodically collected from wearable devices, and the data is sent to a cloud server via a smartphone app. The server stores the data and uses an AI analysis module to monitor health conditions in real time. If any abnormal values ​​are detected, notifications are sent to employees and emergency contacts. Furthermore, health reports are periodically generated and provided to employees and managers."

[0607] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0608] Program processing flow

[0609] Step 1:

[0610] Users periodically collect physical condition data such as blood pressure, heart rate, and body temperature using a terminal (wearable device) worn on the body. The terminal's sensor module measures this data. The input is biometric information obtained from the user's body, and the output is physical condition data obtained via the sensor.

[0611] Step 2:

[0612] The device sends the measured physical condition data to the user's smartphone via Bluetooth communication. The smartphone application receives this data. The input is the physical condition data sent from the device, and the output is the health data stored in the smartphone application.

[0613] Step 3:

[0614] The smartphone uses its GPS function to obtain the user's current location. The smartphone's GPS sensor generates location information. The input is location data obtained from the smartphone's GPS sensor, and the output is the current location information.

[0615] Step 4:

[0616] The smartphone application sends the acquired physical condition data and location information to a cloud server via the Internet using the HTTP(S) protocol. The input is the health data and location information stored on the smartphone, and the output is the data sent to the cloud server.

[0617] Step 5:

[0618] The server stores the received health data and location information in a database. This is managed by the data storage module. The input is the health data and location information sent to the server, and the output is the data stored in the database.

[0619] Step 6:

[0620] The server's AI analysis module analyzes the health data stored in the database and detects abnormalities. It uses generative AI models such as TensorFlow or PyTorch. The input is the stored health data, and the output is the analysis result on whether or not there are any abnormalities.

[0621] Step 7:

[0622] If an anomaly is detected, the server uses the notification module to send a notification to the user and emergency contacts. Email, SMS, and in-app notifications are used. The input is the anomaly result obtained from the AI ​​analysis module, and the output is the notification message.

[0623] Step 8:

[0624] Periodically, the server generates health reports and provides them to users and administrators. This is done by a health report module, whose input is the entire period of health data stored in the database and whose output is a health report.

[0625] 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.

[0626] This invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[0627] System Configuration

[0628] 1. Terminal

[0629] The terminal is a device worn on the user's body and has the following functions:

[0630] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0631] GPS module: Obtains the user's current location.

[0632] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0633] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0634] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0635] 2. Server

[0636] The server receives data sent from the terminal and has the following functions:

[0637] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0638] Data storage module: Stores the received data in a database.

[0639] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[0640] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0641] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0642] Health Report Module: Generates and provides health reports to users periodically.

[0643] Program processing flow

[0644] Normal processing

[0645] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[0646] 2. The measured physical condition data, current location information, and emotion data generated by the emotion engine are sent from the device to the server.

[0647] 3. The server stores the received data in a database.

[0648] 4. The AI ​​analysis module analyzes the health data and evaluates the normality of the data.

[0649] 5. If an abnormality is detected, the notification module notifies the user and emergency contacts.

[0650] 6. The emotion data analysis module analyzes the emotion data and evaluates the user's emotional state.

[0651] 7. Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0652] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[0653] Disaster Preparedness

[0654] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0655] 2. The device will continue to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[0656] 3. The server stores the received information in a database in real time.

[0657] 4. The AI ​​analysis module analyzes the received data and evaluates the user's safety status.

[0658] 5. When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and instructs rescue measures if necessary.

[0659] 6. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency call.

[0660] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[0661] In this way, the present invention is a system that not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[0662] The processing flow will be explained below.

[0663] Normal processing

[0664] Step 1:

[0665] The device measures the user's physical condition data (blood pressure and heart rate) at regular intervals using sensors.

[0666] Step 2:

[0667] The device collects measured physical condition data, current location information, and emotional data analyzed by an emotion engine.

[0668] Step 3:

[0669] The terminal transmits the collected data packets to the server.

[0670] Step 4:

[0671] The server receives the data packets sent from the terminal and stores them in a database.

[0672] Step 5:

[0673] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[0674] Step 6:

[0675] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[0676] Step 7:

[0677] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[0678] Step 8:

[0679] An emotion data analysis module analyzes emotion data from the received data and evaluates the user's emotional state.

[0680] Step 9:

[0681] If significant emotional fluctuations are detected, the notification module will provide the user with advice on stress management and mental health.

[0682] Step 10:

[0683] Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0684] Disaster Preparedness

[0685] Step 1:

[0686] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0687] Step 2:

[0688] The terminal transmits location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[0689] Step 3:

[0690] The server receives the information sent from the terminal and stores it in a database in real time.

[0691] Step 4:

[0692] The server's AI analysis module analyzes the received data and evaluates the user's health and safety.

[0693] Step 5:

[0694] If the server detects an abnormal value, the notification module notifies the user and emergency contacts and instructs them on how to take action.

[0695] Step 6:

[0696] If necessary, the user can make an emergency call using the terminal's satellite communication function.

[0697] For example, if an earthquake occurs and normal communication methods become unavailable, the device will automatically switch to satellite communication. If the user is unwell and emotionally unstable, the device will continuously transmit this data to the server. The server will then analyze this data and, if necessary, send an emergency notification and provide appropriate assistance depending on the situation.

[0698] Example 2

[0699] 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."

[0700] In recent years, the importance of quickly confirming the safety of users during disasters and daily health management has increased. However, conventional systems have difficulty comprehensively collecting and analyzing users' physical condition data, acquiring location information, and monitoring their emotional state. Furthermore, they are inadequate in responding to situations in which normal communication methods become unavailable during disasters. Additionally, there is a lack of methods for assessing emotional state and providing appropriate feedback based on that assessment. This makes it difficult to achieve comprehensive health maintenance and rapid response.

[0701] 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.

[0702] In this invention, the server includes an artificial intelligence unit that analyzes physical condition data and detects abnormal values, a unit that notifies the user and emergency contacts, and a unit that analyzes emotional data and evaluates the user's emotional state. This enables comprehensive management and analysis of the user's physical condition data and location information, and in the event of a disaster, it can quickly switch to satellite communication to confirm the user's safety. In addition to daily health conditions, the server can also monitor emotional states and provide appropriate feedback to the user.

[0703] A "terminal" is a device worn on the user's body, and includes a sensor module, a GPS module, a communication module, an emergency call means, an emotion engine, and the like.

[0704] A "sensor module" is a component that has the function of periodically measuring a user's physical condition data, such as blood pressure and heart rate.

[0705] A "GPS module" is a component that has the function of obtaining the user's current location using the Global Positioning System.

[0706] A "communication module" is a component that provides communication means for transmitting and receiving data, and includes normal communication means and satellite communication means used in emergencies.

[0707] An "emergency call means" is a means that provides a function that allows a user to make a call in an emergency.

[0708] The "emotion engine" is a function that includes an algorithm that analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0709] A "server" is a computer system that receives and manages data sent from a terminal, and is a device that includes a data receiving module, a data storage module, an AI analysis module, a notification module, an emotion data analysis module, and a health report module.

[0710] The "data receiving module" is a component that provides the function of receiving physical condition data, emotional data, and location information sent from the terminal.

[0711] A "data storage module" is a component that provides the function of storing received data in a database.

[0712] The "AI analysis module" is a function that includes artificial intelligence that analyzes stored health data and detects abnormal values ​​in the data.

[0713] The "notification module" is a component that provides a function to notify the user and emergency contacts when an abnormal value is detected.

[0714] The "emotion data analysis module" is a component that provides a function for analyzing stored emotion data and evaluating the user's emotional state.

[0715] The "health report module" is a component that provides the functionality to generate and provide a comprehensive health report to the user based on the data collected daily.

[0716] A "satellite communication module" is a component that provides the function of automatically switching to satellite communication when normal communication methods are unavailable during a disaster.

[0717] The present invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[0718] System Configuration

[0719] 1. Terminal

[0720] The terminal is a device worn on the user's body and has the following functions:

[0721] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0722] GPS module: Obtains the user's current location.

[0723] Communications module: Includes normal communications means and satellite communications means for use in emergencies.

[0724] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0725] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0726] 2. Server

[0727] The server receives data sent from the terminal and has the following functions:

[0728] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0729] Data storage module: Stores the received data in a database.

[0730] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[0731] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0732] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0733] Health Report Module: Generates and provides health reports to users periodically.

[0734] System Operation

[0735] Normal operation

[0736] The device periodically measures the user's blood pressure and heart rate using a sensor module. The device then sends the measured physical condition data, current location information, and emotional data generated by an emotion engine to a server. The server then stores the received data in a database, where an AI analysis module analyzes the physical condition data to assess its normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data to assess the user's emotional state. Finally, based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[0737] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[0738] Operation in the event of a disaster

[0739] When a disaster occurs and normal means of communication become unavailable, the device automatically switches to satellite communication mode. The device continues to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals. The server stores the received information in a database in real time, and an AI analysis module analyzes the received data to evaluate the user's safety. If an abnormal value is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures. If the user needs to make an emergency call, the device's satellite communication module is used to make the emergency contact.

[0740] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[0741] Examples of prompts:

[0742] Please explain the algorithm of the system that measures blood pressure at 8am and sends the voice data analyzed by the emotion engine to the server.

[0743] What is the communication flow between the terminal and the server in the event of an earthquake?

[0744] As a result, this system not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[0745] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0746] Step 1:

[0747] The device measures the user's blood pressure and heart rate at regular intervals. Specifically, the sensor module captures the user's physical condition data. The input is physiological signals from the user's body, and the output is blood pressure and heart rate data.

[0748] Step 2:

[0749] The device receives measured physical condition data (input), current location information (data obtained from the GPS module), and emotional data analyzed by the emotion engine (evaluation of the user's emotional state based on the user's voice data). Specifically, the GPS module measures the current location, and the emotion engine analyzes the voice data. The output is physical condition data, location information, and emotional data.

[0750] Step 3:

[0751] The device transmits these data to the server via a communication module. The input is physical condition data, location information, and emotion data, and the output is data transmission to the server.

[0752] Step 4:

[0753] The server uses the data receiving module to receive data sent from the terminal. The input is data from the terminal, and the output is storing the data in the server's internal memory. Specifically, the server receives data via the network and temporarily stores the received data.

[0754] Step 5:

[0755] The server uses a data storage module to persistently store the received data in a database. The input is the received data, and the output is the data stored in the database. Specific operations on the database are insert operations using SQL queries.

[0756] Step 6:

[0757] The AI ​​analysis module in the server analyzes the health data stored in the database and evaluates the normality of the data. The input is the health data in the database, and the output is the analysis results. Specifically, the AI ​​model executes an algorithm to detect outliers. A machine learning predictive model is used for this calculation.

[0758] Step 7:

[0759] If an anomaly is detected, the server uses a notification module to notify the user and emergency contacts. The input is the anomaly flag from the analysis results, and the output is an alert notification to the user and emergency contacts. Specific communication methods used include sending email, SMS, and push notifications.

[0760] Step 8:

[0761] The emotion data analysis module in the server analyzes the stored emotion data and evaluates the user's emotional state. The input is the emotion data from the database, and the output is the evaluation result of the emotional state. Specifically, the emotion analysis algorithm analyzes the voice data and evaluates stress levels and emotional fluctuations.

[0762] Step 9:

[0763] The server generates health reports based on the data collected daily and provides them to users. The input is all the data stored in the database, and the output is a comprehensive health report. Specifically, the report generation module periodically aggregates the data and formats it into a report. For example, a PDF generation library is used to create the report.

[0764] Step 10:

[0765] In the event of a disaster, if normal communication methods become unavailable, the device will automatically switch to satellite communication mode. The input is the detection of an abnormality in the communication status, and the output is a switch in communication methods. Specifically, the communication module automatically changes its internal settings to switch to satellite communication mode.

[0766] (Application example 2)

[0767] 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."

[0768] Conventional technologies do not suggest appropriate meals based on the user's health or emotional state, and food delivery services in particular have had the problem of providing meals without taking into account the user's physical condition or emotions. Furthermore, in the event of a disaster, it is difficult to confirm the safety of users and manage their health, so a rapid response is required.

[0769] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal worn on the user's body, means for receiving and storing physical condition data and emotional data transmitted from the terminal, AI means in the server for analyzing the physical condition data and emotional data and detecting abnormal values, means for notifying the user and emergency contacts when the server detects an abnormal value, a satellite communication module for automatically switching to satellite communication if normal communication means are unavailable during a disaster, and means for suggesting appropriate meals based on the user's emotional data and automatically delivering food. This makes it possible to suggest appropriate meals based on the user's physical condition and emotional state and automatically deliver food as needed. It also enables rapid safety confirmation and health management even during a disaster.

[0770] Yes, we have created definitions of important words included in the patent claims below according to application examples.

[0771] "User" refers to a person who uses the system.

[0772] A "terminal" refers to a device that is worn on the user's body and acquires and transmits physical condition data and emotional data.

[0773] "Physical condition data" refers to information about the user's physical condition, such as the user's blood pressure and heart rate.

[0774] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and behavioral patterns.

[0775] "Server" refers to a computer system that receives, stores, and analyzes physical condition data and emotional data sent from a terminal.

[0776] "AI means" refers to artificial intelligence technology that analyzes physical condition data and emotional data within a server and detects abnormal values.

[0777] "Means for notifying" refers to a means for notifying the user and emergency contacts of an abnormality when the server detects an abnormal value.

[0778] A "satellite communication module" refers to a device for satellite communication when normal communication means are unavailable during a disaster.

[0779] The "means for suggesting meals" refers to a means for selecting and notifying an appropriate meal based on the user's emotional data.

[0780] "Means for automated food delivery" means means for ordering meals using a food delivery service based on suggested meals.

[0781] This system consists of a device worn by the user and a server that manages the data transmitted from the device. The system's purpose is to suggest appropriate meals based on the user's physical and emotional state and automatically execute food delivery. It also supports rapid safety confirmation and health management in the event of a disaster.

[0782] System Configuration

[0783] 1. Terminal

[0784] The terminal is a device worn on the user's body and has the following main functions:

[0785] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0786] GPS module: Obtains the user's current location.

[0787] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0788] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0789] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[0790] 2. Server

[0791] The server is a computer system that receives, stores, analyzes, and responds to data sent from devices. It has the following functions:

[0792] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[0793] Data storage module: Stores the received data in a database.

[0794] AI analysis module: Analyzes stored health data and detects abnormal values.

[0795] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0796] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[0797] Health Report Module: Generates and provides health reports to users periodically.

[0798] Meal suggestion module: Suggests appropriate meals based on the user's emotional state.

[0799] Food delivery management module: Automatically delivers food based on suggested meals.

[0800] Operation flow

[0801] Normal processing

[0802] First, the device measures the user's blood pressure and heart rate at regular intervals and sends this data, along with their current location and emotional data generated by the emotion engine, to the server. The server receives and stores this data, and the AI ​​analysis module analyzes the physical condition data to assess normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data and assesses the user's emotional state. Based on this, the server suggests appropriate meals and automatically arranges food delivery if necessary.

[0803] Disaster Preparedness

[0804] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode. It continuously transmits location information, physical condition data, and emotional data to a server at regular intervals. The server receives this information and stores it in a database in real time. An AI analysis module analyzes the received data to assess the user's safety and physical condition. If an abnormality is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures.

[0805] Specific examples

[0806] If a user measures their blood pressure at 8 a.m. and the emotion engine analyzes the voice data at that time, this data is immediately sent to the server. The server analyzes this data and immediately notifies them if any abnormalities are detected. It also provides appropriate mental health advice if the user's emotional state is unstable. Furthermore, it suggests healthy meals such as "soup" based on the emotion data and automatically places an order through food delivery.

[0807] Prompt Sentence Examples

[0808] "Based on the data of user ID '123456', please analyze the user's current physical and emotional state. Based on the results, please suggest an appropriate healthy meal and complete the order via food delivery service."

[0809] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0810] Step 1:

[0811] The server receives physical condition data and emotional data sent by the user. The inputs include blood pressure, heart rate, location information, and voice data sent from the user's terminal. The output is the received data. Specifically, the server uses a data reception module to receive data via a communication protocol (e.g., HTTPS).

[0812] Step 2:

[0813] The server stores the received physical condition data and emotion data in a database. The input is the data received in step 1. The output is the data stored in the database. Specifically, the server uses a data storage module to record the data in a database management system (e.g., MySQL, PostgreSQL).

[0814] Step 3:

[0815] The server analyzes the stored health data using an AI analysis module to detect outliers. The input is the health data stored in the database. The output is a flag indicating whether an outlier was detected. Specifically, the AI ​​analysis module processes the data using a machine learning model (e.g., TensorFlow, scikit-learn) to detect outliers that exceed a threshold.

[0816] Step 4:

[0817] If an abnormal value is detected, the server notifies the user and emergency contacts using the notification module. The input is information that an abnormal value has been detected. The output is a notification message to the user and emergency contacts. Specifically, the server uses the notification module to send emails, SMS, push notifications, etc.

[0818] Step 5:

[0819] The server analyzes the stored emotional data using an emotional data analysis module to evaluate the user's emotional state. The input is the emotional data stored in the database. The output is the evaluation result of the emotional state. Specifically, the emotional data analysis module analyzes the data using natural language processing technology (e.g., NLP model, Sentiment Analysis API).

[0820] Step 6:

[0821] The server suggests appropriate meals based on the user's emotional state. The input is the evaluation result of the user's emotional state. The output is a suggested meal menu. Specifically, the meal suggestion module uses pre-defined rules and AI models based on the user's emotional and health data to select appropriate meals.

[0822] Step 7:

[0823] The server orders the suggested meals from a food delivery service. The input is the meal menu and the user's location information. The output is the order information sent to the food delivery service. Specifically, the food delivery management module uses an external API (e.g., food delivery service API) to send the order in a specified format.

[0824] Step 8:

[0825] When a disaster occurs and normal communication methods are unavailable, the terminal automatically switches to satellite communication mode. The input is the result of checking the communication status. The output is an instruction to start satellite communication mode. Specifically, the terminal switches the communication module to prepare to switch to satellite communication and continue transmitting data.

[0826] Step 9:

[0827] When an emergency call is required, the terminal uses the satellite communication module to make the emergency contact. The input is an emergency call request made by the user. The output is the result of the emergency call execution. Specifically, the terminal makes a call to the emergency contact using the satellite communication module.

[0828] In this way, it is possible to provide appropriate meal suggestions and food delivery based on the user's physical and emotional state, as well as quickly confirm the user's safety and manage their health in the event of a disaster.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] [Third embodiment]

[0833] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0834] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0835] 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).

[0836] 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.

[0837] 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.

[0838] 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).

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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."

[0845] The present invention is a system consisting of a terminal worn by a user, a server that manages data transmitted from the terminal, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster and to manage their daily health.

[0846] System Configuration

[0847] 1. Terminal

[0848] The terminal is a device worn on the user's body and has the following functions:

[0849] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[0850] GPS module: Obtains the user's current location.

[0851] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0852] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0853] 2. Server

[0854] The server receives data sent from the terminal and has the following functions:

[0855] Data receiving module: Receives physical condition data and location information sent from the device.

[0856] Data storage module: Stores the received data in a database.

[0857] AI analysis module: Analyzes stored health data and detects abnormal values.

[0858] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0859] Health Report Module: Generates and provides health reports to users periodically.

[0860] Program processing flow

[0861] Normal processing

[0862] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[0863] 2. The measurement data and current location information are sent from the device to the server.

[0864] 3. The server stores the received data in a database.

[0865] 4. The saved data is analyzed using an AI analysis module to determine whether the values ​​are normal or abnormal.

[0866] 5. If an abnormal value is detected, the notification module notifies the user and emergency contacts.

[0867] 6. From the daily data, the server generates a monthly health report and provides it to the user.

[0868] For example, if a user measures their blood pressure at 8 a.m., the data is immediately sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is made. However, if it is an abnormal value, a notification module is used to send a warning message to the user.

[0869] Disaster Preparedness

[0870] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0871] 2. The device continuously transmits location information and health data to a server via satellite.

[0872] 3. The server determines the user's safety based on the received information and notifies them as necessary.

[0873] 4. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency contact.

[0874] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically start satellite communication. If the user becomes ill, the device will continue to collect health data and send it to the server. The server will receive the data and, if an abnormal value is detected, will send a notification to emergency contacts.

[0875] The present invention is a system that realizes quick safety confirmation in the event of a disaster and daily health management, and integrates various functions to protect the safety and health of users.

[0876] The processing flow will be explained below.

[0877] Normal processing

[0878] Step 1:

[0879] The device measures the user's physical condition data (blood pressure, heart rate, etc.) at regular intervals using sensors.

[0880] Step 2:

[0881] The device collects the measured physical condition data and current location information, packets them, and sends them to the server.

[0882] Step 3:

[0883] The server receives the data packets sent from the terminal and stores them in a database.

[0884] Step 4:

[0885] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[0886] Step 5:

[0887] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[0888] Step 6:

[0889] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[0890] Step 7:

[0891] Based on the data collected daily, the server generates a monthly health report and provides it to the user.

[0892] Disaster Preparedness

[0893] Step 1:

[0894] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[0895] Step 2:

[0896] The terminal continues to transmit location information and physical condition data to the server via satellite at regular intervals.

[0897] Step 3:

[0898] The server receives the information sent from the terminal and stores it in a database in real time.

[0899] Step 4:

[0900] The server's AI analysis module analyzes the received data and evaluates the user's safety status.

[0901] Step 5:

[0902] When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and, if necessary, instructs them on how to take remedial action.

[0903] Step 6:

[0904] If the user needs to make an emergency call, the terminal will use satellite communications to make the emergency contact.

[0905] The present invention realizes quick safety confirmation in the event of a disaster and daily health management through the above-described processing flow.

[0906] Example 1

[0907] 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."

[0908] Two issues need to be resolved: the difficulty of quickly and accurately confirming users' safety during a disaster, and the efficient implementation of daily health management. In particular, conventional systems have limited communication methods, making it difficult to make emergency contact during a disaster, and sometimes analyzing daily health data and detecting abnormalities cannot be performed quickly and accurately.

[0909] 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.

[0910] In this invention, the server includes means for receiving and storing physical condition data and location data, analysis means for analyzing the physical condition data and location data to detect abnormal values, notification means for notifying the user and emergency contacts when an abnormal value is detected, and satellite communication means for automatically switching to satellite communication when normal communication means are unavailable during a disaster. This makes it possible to quickly and accurately confirm the safety of users even during a disaster, and enables efficient and accurate daily health management.

[0911] A "terminal" is a device that is worn on the user's body and acquires physical condition data and location data.

[0912] A "server" is a device that receives, stores, and analyzes data sent from a terminal.

[0913] "Physical condition data" refers to information relating to the user's biological body, such as blood pressure and heart rate.

[0914] "Location data" refers to information indicating the user's current location.

[0915] The "analysis means" is a device or software that analyzes the received physical condition data and location data and determines whether the values ​​are normal or abnormal.

[0916] The "notification means" is a device or software that notifies the user and emergency contacts when an abnormal value is detected.

[0917] "Satellite communication means" means a device that communicates data via satellite when conventional communication means are unavailable.

[0918] "Emergency Contact" refers to a third party or organization designated to be notified when an abnormal value is detected.

[0919] A "health report" is a report on the user's health condition that is created based on collected physical condition data.

[0920] This invention is a system consisting of a device worn by the user and a server that receives, stores, and analyzes data sent from the device. Its main purpose is to quickly confirm the safety of users in the event of a disaster and to manage their health on a daily basis.

[0921] System Configuration

[0922] 1. Terminal

[0923] A terminal is a device that has the following functions:

[0924] Sensor module: Measures the user's physical condition data such as blood pressure and heart rate.

[0925] GPS module: Obtains the user's current location.

[0926] Communications module: Regular communications means and satellite communications means for use in emergencies.

[0927] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0928] For example, when a user wears a wristwatch-type device, the device uses its built-in optical and pressure sensors to collect blood flow data and analyze it to calculate blood pressure and heart rate. If normal communication methods are unavailable, the device automatically switches to a satellite communication module to transmit data.

[0929] 2. Server

[0930] The server is a device that has the following functions:

[0931] Data receiving module: Receives physical condition data and location information sent from the device.

[0932] Data storage module: Stores the received data in a database.

[0933] AI analysis module: Analyzes stored health data and detects abnormal values.

[0934] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[0935] Health Report Module: Generates and provides health reports to users periodically.

[0936] Specifically, the server can analyze health data using Python's scikit-learn library. If an abnormal value is detected, a notification module will send detailed notifications to the user and emergency contacts using a dedicated application or SMS service.

[0937] Example of flow

[0938] Normal processing example

[0939] If a user measures their blood pressure at 8 a.m., the data is instantly sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is sent. If it is an abnormal value, a warning message is sent to the user using the notification module. The server also generates a monthly health report from daily data and provides it to the user via email or a dedicated app.

[0940] Example of input prompt sentence:

[0941] A user measures their blood pressure at 8am and sends the data to the server. Check whether the data is within the normal range or the abnormal range, and notify the user if it is within the abnormal range.

[0942] Examples of disaster response

[0943] If an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If a user becomes ill and presses the emergency button, their location and health data will be sent to the corresponding emergency contact.

[0944] Example of input prompt sentence:

[0945] An earthquake occurs, and the user falls ill while regular mobile networks are unavailable. The device should automatically start satellite communication and send health data to the server. If the server detects any abnormal values, it should notify emergency contacts.

[0946] In this way, the system aims to protect the safety and health of the user.

[0947] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0948] Step 1:

[0949] The device measures the user's physical condition data at specific time intervals. At this time, the sensor module collects blood pressure and heart rate, and the built-in GPS module obtains current location information. The user's biometric information and location information are provided as input, and these data are obtained as output.

[0950] Step 2:

[0951] The device sends the measured physical condition data and current location information to the server via the communication module. The input is the previously acquired physical condition data and location information, and the output is the data sent to the server. Specifically, the communication module transfers data using Wi-Fi or Bluetooth.

[0952] Step 3:

[0953] The server receives data sent from the device through a data receiving module and stores it in a database. The input is the received physical condition data and location information, and the output is data stored in the database in a structured format. Specifically, the data is stored and indexed in chronological order.

[0954] Step 4:

[0955] The server analyzes the stored data in real time using an AI analysis module. The input data is health data and location information stored in a database, and the output is a judgment result of whether the condition is normal or abnormal. Specifically, an anomaly detection algorithm is executed using the scikit-learn library.

[0956] Step 5:

[0957] If an abnormal value is detected, the server notifies the user and emergency contacts through the notification module. The input is the anomaly detection result from the AI ​​analysis module, and the output is whether or not a notification will be sent. Specifically, the notification module sends an alert via SMS, email, or a dedicated application.

[0958] Step 6:

[0959] The server periodically (e.g. monthly) generates a health report from the user's health data and provides it to the user. The input is the accumulated physical condition data, and the output is the generated health report. Specifically, the report is delivered to the user via email or a dedicated application.

[0960] (Application example 1)

[0961] 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."

[0962] Ensuring employee health and safety is crucial in today's work environment. However, it is not easy to provide employees with accurate information about their own health status and the means to respond quickly in emergencies. Managing employee location information and health status when normal communications are cut off during emergencies such as disasters is also a challenge. Therefore, there is a need for a comprehensive system that can monitor health data in real time and respond immediately when an abnormality is detected.

[0963] 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.

[0964] In this invention, the server includes a means for including an application installed on a smartphone for monitoring the employee's health status in real time, a means for acquiring location information using the smartphone's GPS function, a means for transmitting the health data and location information to a cloud server, and a means for generating and providing a health report based on the received data. This allows employees' health status to be monitored at any time and a prompt response to any abnormalities detected. Furthermore, in the event of a disaster, the server can manage the employee's location information and health status and respond promptly.

[0965] - "Terminal" refers to a device worn on the user's body that collects physical condition data and location information and transmits it to the server.

[0966] "Physical condition data" refers to data indicating the user's health condition, such as blood pressure, heart rate, and body temperature.

[0967] A "server" is a computer system that receives data sent from a terminal and processes it, such as storing, analyzing, notifying, and generating reports.

[0968] "AI means" refers to artificial intelligence technology that analyzes health data and detects abnormal values.

[0969] "Communication means" refers to the technology used to transmit data between the terminal and the server, including conventional communication and satellite communication.

[0970] A "satellite communications module" is hardware that enables communication via satellite when normal communication methods are unavailable, such as during a disaster.

[0971] A "GPS module" is hardware used to obtain the current location of a device.

[0972] "Notification means" refers to a technique for issuing a warning or notification to the user and emergency contacts when the server detects an abnormal value.

[0973] A "health report" is a report generated by the server that periodically compiles the user's health status.

[0974] A "smartphone application" is software that is installed on a smartphone and collects, transmits, and displays physical condition data and location information.

[0975] A "cloud server" is a remote server used to store, analyze, and process data over the Internet.

[0976] MODE FOR CARRYING OUT THE INVENTION

[0977] The present invention provides a health monitoring system for security services that includes a terminal worn on the user's body, a server that manages data, and supporting functions. Specific embodiments of the present invention are described below.

[0978] System Configuration

[0979] 1. Terminal

[0980] The terminal is a device worn on the user's body and has the following functions:

[0981] Sensor module: Regularly measures physical condition data such as blood pressure, heart rate, and body temperature.

[0982] GPS module: Obtains the user's current location.

[0983] Communication module: Bluetooth communication and satellite communication means for use in emergencies.

[0984] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[0985] 2. Server

[0986] The server receives, stores, analyzes, notifies, and generates reports on data sent from the terminal. It has the following functions:

[0987] Data receiving module: Receives physical condition data and location information sent from the device.

[0988] Data storage module: Stores the received data in a database.

[0989] AI analysis module: Analyzes stored health data and detects abnormal values. Specific AI tools used include TensorFlow and PyTorch.

[0990] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[0991] Health Report Module: Generates and provides health reports to users periodically.

[0992] 3. Smartphone Applications

[0993] The smartphone application is installed on the user's smartphone and works in conjunction with the device to achieve the following functions:

[0994] Data collection: Receives physical condition data from wearable devices via Bluetooth.

[0995] Location information acquisition: Location information is acquired using the smartphone's GPS function.

[0996] Data transmission: Collected physical condition data and location information are sent to a cloud server.

[0997] Processing Description

[0998] 1. Data Acquisition

[0999] The device periodically acquires health data using a sensor module and transfers it to a smartphone via Bluetooth, which then acquires location information using GPS.

[1000] 2. Data Transmission

[1001] The smartphone application sends the acquired physical condition data and location information to a cloud server using the HTTP(S) protocol.

[1002] 3. Data Analysis

[1003] The server stores the received data in a database. The received data is analyzed by an AI analysis module, which may detect outliers. In this case, the data is analyzed using AI tools such as TensorFlow and PyTorch.

[1004] 4. Notification

[1005] If an abnormal value is detected, the server's notification module generates an alert and notifies the user and emergency contacts via email, SMS, in-app notifications, and more.

[1006] 5. Health report generation

[1007] Periodically, the server generates and provides users and administrators with health reports detailing the user's health status and including comparisons with historical data.

[1008] Examples of specific examples and prompts

[1009] For example, if an employee wears a health monitoring device to work and their blood pressure is measured one morning and exceeds the normal range, the data is immediately sent to the server. The server analyzes the data, and if an abnormal value is detected, a notification is sent to the user and emergency contacts. In this way, the employee's health condition can be quickly identified and responded to.

[1010] An example prompt might look like this:

[1011] "Employees' blood pressure, heart rate, and body temperature are periodically collected from wearable devices, and the data is sent to a cloud server via a smartphone app. The server stores the data and uses an AI analysis module to monitor health conditions in real time. If any abnormal values ​​are detected, notifications are sent to employees and emergency contacts. Furthermore, health reports are periodically generated and provided to employees and managers."

[1012] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1013] Program processing flow

[1014] Step 1:

[1015] Users periodically collect physical condition data such as blood pressure, heart rate, and body temperature using a terminal (wearable device) worn on the body. The terminal's sensor module measures this data. The input is biometric information obtained from the user's body, and the output is physical condition data obtained via the sensor.

[1016] Step 2:

[1017] The device sends the measured physical condition data to the user's smartphone via Bluetooth communication. The smartphone application receives this data. The input is the physical condition data sent from the device, and the output is the health data stored in the smartphone application.

[1018] Step 3:

[1019] The smartphone uses its GPS function to obtain the user's current location. The smartphone's GPS sensor generates location information. The input is location data obtained from the smartphone's GPS sensor, and the output is the current location information.

[1020] Step 4:

[1021] The smartphone application sends the acquired physical condition data and location information to a cloud server via the Internet using the HTTP(S) protocol. The input is the health data and location information stored on the smartphone, and the output is the data sent to the cloud server.

[1022] Step 5:

[1023] The server stores the received health data and location information in a database. This is managed by the data storage module. The input is the health data and location information sent to the server, and the output is the data stored in the database.

[1024] Step 6:

[1025] The server's AI analysis module analyzes the health data stored in the database and detects abnormalities. It uses generative AI models such as TensorFlow or PyTorch. The input is the stored health data, and the output is the analysis result on whether or not there are any abnormalities.

[1026] Step 7:

[1027] If an anomaly is detected, the server uses the notification module to send a notification to the user and emergency contacts. Email, SMS, and in-app notifications are used. The input is the anomaly result obtained from the AI ​​analysis module, and the output is the notification message.

[1028] Step 8:

[1029] Periodically, the server generates health reports and provides them to users and administrators. This is done by a health report module, whose input is the entire period of health data stored in the database and whose output is a health report.

[1030] 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.

[1031] This invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[1032] System Configuration

[1033] 1. Terminal

[1034] The terminal is a device worn on the user's body and has the following functions:

[1035] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1036] GPS module: Obtains the user's current location.

[1037] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1038] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1039] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1040] 2. Server

[1041] The server receives data sent from the terminal and has the following functions:

[1042] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1043] Data storage module: Stores the received data in a database.

[1044] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[1045] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1046] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1047] Health Report Module: Generates and provides health reports to users periodically.

[1048] Program processing flow

[1049] Normal processing

[1050] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[1051] 2. The measured physical condition data, current location information, and emotion data generated by the emotion engine are sent from the device to the server.

[1052] 3. The server stores the received data in a database.

[1053] 4. The AI ​​analysis module analyzes the health data and evaluates the normality of the data.

[1054] 5. If an abnormality is detected, the notification module notifies the user and emergency contacts.

[1055] 6. The emotion data analysis module analyzes the emotion data and evaluates the user's emotional state.

[1056] 7. Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1057] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[1058] Disaster Preparedness

[1059] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1060] 2. The device will continue to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[1061] 3. The server stores the received information in a database in real time.

[1062] 4. The AI ​​analysis module analyzes the received data and evaluates the user's safety status.

[1063] 5. When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and instructs rescue measures if necessary.

[1064] 6. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency call.

[1065] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[1066] In this way, the present invention is a system that not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[1067] The processing flow will be explained below.

[1068] Normal processing

[1069] Step 1:

[1070] The device measures the user's physical condition data (blood pressure and heart rate) at regular intervals using sensors.

[1071] Step 2:

[1072] The device collects measured physical condition data, current location information, and emotional data analyzed by an emotion engine.

[1073] Step 3:

[1074] The terminal transmits the collected data packets to the server.

[1075] Step 4:

[1076] The server receives the data packets sent from the terminal and stores them in a database.

[1077] Step 5:

[1078] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[1079] Step 6:

[1080] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[1081] Step 7:

[1082] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[1083] Step 8:

[1084] An emotion data analysis module analyzes emotion data from the received data and evaluates the user's emotional state.

[1085] Step 9:

[1086] If significant emotional fluctuations are detected, the notification module will provide the user with advice on stress management and mental health.

[1087] Step 10:

[1088] Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1089] Disaster Preparedness

[1090] Step 1:

[1091] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1092] Step 2:

[1093] The terminal transmits location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[1094] Step 3:

[1095] The server receives the information sent from the terminal and stores it in a database in real time.

[1096] Step 4:

[1097] The server's AI analysis module analyzes the received data and evaluates the user's health and safety.

[1098] Step 5:

[1099] If the server detects an abnormal value, the notification module notifies the user and emergency contacts and instructs them on how to take action.

[1100] Step 6:

[1101] If necessary, the user can make an emergency call using the terminal's satellite communication function.

[1102] For example, if an earthquake occurs and normal communication methods become unavailable, the device will automatically switch to satellite communication. If the user is unwell and emotionally unstable, the device will continuously transmit this data to the server. The server will then analyze this data and, if necessary, send an emergency notification and provide appropriate assistance depending on the situation.

[1103] Example 2

[1104] 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."

[1105] In recent years, the importance of quickly confirming the safety of users during disasters and daily health management has increased. However, conventional systems have difficulty comprehensively collecting and analyzing users' physical condition data, acquiring location information, and monitoring their emotional state. Furthermore, they are inadequate in responding to situations in which normal communication methods become unavailable during disasters. Additionally, there is a lack of methods for assessing emotional state and providing appropriate feedback based on that assessment. This makes it difficult to achieve comprehensive health maintenance and rapid response.

[1106] 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.

[1107] In this invention, the server includes an artificial intelligence unit that analyzes physical condition data and detects abnormal values, a unit that notifies the user and emergency contacts, and a unit that analyzes emotional data and evaluates the user's emotional state. This enables comprehensive management and analysis of the user's physical condition data and location information, and in the event of a disaster, it can quickly switch to satellite communication to confirm the user's safety. In addition to daily health conditions, the server can also monitor emotional states and provide appropriate feedback to the user.

[1108] A "terminal" is a device worn on the user's body, and includes a sensor module, a GPS module, a communication module, an emergency call means, an emotion engine, and the like.

[1109] A "sensor module" is a component that has the function of periodically measuring a user's physical condition data, such as blood pressure and heart rate.

[1110] A "GPS module" is a component that has the function of obtaining the user's current location using the Global Positioning System.

[1111] A "communication module" is a component that provides communication means for transmitting and receiving data, and includes normal communication means and satellite communication means used in emergencies.

[1112] An "emergency call means" is a means that provides a function that allows a user to make a call in an emergency.

[1113] The "emotion engine" is a function that includes an algorithm that analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1114] A "server" is a computer system that receives and manages data sent from a terminal, and is a device that includes a data receiving module, a data storage module, an AI analysis module, a notification module, an emotion data analysis module, and a health report module.

[1115] The "data receiving module" is a component that provides the function of receiving physical condition data, emotional data, and location information sent from the terminal.

[1116] A "data storage module" is a component that provides the function of storing received data in a database.

[1117] The "AI analysis module" is a function that includes artificial intelligence that analyzes stored health data and detects abnormal values ​​in the data.

[1118] The "notification module" is a component that provides a function to notify the user and emergency contacts when an abnormal value is detected.

[1119] The "emotion data analysis module" is a component that provides a function for analyzing stored emotion data and evaluating the user's emotional state.

[1120] The "health report module" is a component that provides the functionality to generate and provide a comprehensive health report to the user based on the data collected daily.

[1121] A "satellite communication module" is a component that provides the function of automatically switching to satellite communication when normal communication methods are unavailable during a disaster.

[1122] The present invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[1123] System Configuration

[1124] 1. Terminal

[1125] The terminal is a device worn on the user's body and has the following functions:

[1126] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1127] GPS module: Obtains the user's current location.

[1128] Communications module: Includes normal communications means and satellite communications means for use in emergencies.

[1129] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1130] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1131] 2. Server

[1132] The server receives data sent from the terminal and has the following functions:

[1133] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1134] Data storage module: Stores the received data in a database.

[1135] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[1136] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1137] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1138] Health Report Module: Generates and provides health reports to users periodically.

[1139] System Operation

[1140] Normal operation

[1141] The device periodically measures the user's blood pressure and heart rate using a sensor module. The device then sends the measured physical condition data, current location information, and emotional data generated by an emotion engine to a server. The server then stores the received data in a database, where an AI analysis module analyzes the physical condition data to assess its normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data to assess the user's emotional state. Finally, based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1142] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[1143] Operation in the event of a disaster

[1144] When a disaster occurs and normal means of communication become unavailable, the device automatically switches to satellite communication mode. The device continues to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals. The server stores the received information in a database in real time, and an AI analysis module analyzes the received data to evaluate the user's safety. If an abnormal value is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures. If the user needs to make an emergency call, the device's satellite communication module is used to make the emergency contact.

[1145] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[1146] Examples of prompts:

[1147] Please explain the algorithm of the system that measures blood pressure at 8am and sends the voice data analyzed by the emotion engine to the server.

[1148] What is the communication flow between the terminal and the server in the event of an earthquake?

[1149] As a result, this system not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[1150] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1151] Step 1:

[1152] The device measures the user's blood pressure and heart rate at regular intervals. Specifically, the sensor module captures the user's physical condition data. The input is physiological signals from the user's body, and the output is blood pressure and heart rate data.

[1153] Step 2:

[1154] The device receives measured physical condition data (input), current location information (data obtained from the GPS module), and emotional data analyzed by the emotion engine (evaluation of the user's emotional state based on the user's voice data). Specifically, the GPS module measures the current location, and the emotion engine analyzes the voice data. The output is physical condition data, location information, and emotional data.

[1155] Step 3:

[1156] The device transmits these data to the server via a communication module. The input is physical condition data, location information, and emotion data, and the output is data transmission to the server.

[1157] Step 4:

[1158] The server uses the data receiving module to receive data sent from the terminal. The input is data from the terminal, and the output is storing the data in the server's internal memory. Specifically, the server receives data via the network and temporarily stores the received data.

[1159] Step 5:

[1160] The server uses a data storage module to persistently store the received data in a database. The input is the received data, and the output is the data stored in the database. Specific operations on the database are insert operations using SQL queries.

[1161] Step 6:

[1162] The AI ​​analysis module in the server analyzes the health data stored in the database and evaluates the normality of the data. The input is the health data in the database, and the output is the analysis results. Specifically, the AI ​​model executes an algorithm to detect outliers. A machine learning predictive model is used for this calculation.

[1163] Step 7:

[1164] If an anomaly is detected, the server uses a notification module to notify the user and emergency contacts. The input is the anomaly flag from the analysis results, and the output is an alert notification to the user and emergency contacts. Specific communication methods used include sending email, SMS, and push notifications.

[1165] Step 8:

[1166] The emotion data analysis module in the server analyzes the stored emotion data and evaluates the user's emotional state. The input is the emotion data from the database, and the output is the evaluation result of the emotional state. Specifically, the emotion analysis algorithm analyzes the voice data and evaluates stress levels and emotional fluctuations.

[1167] Step 9:

[1168] The server generates health reports based on the data collected daily and provides them to users. The input is all the data stored in the database, and the output is a comprehensive health report. Specifically, the report generation module periodically aggregates the data and formats it into a report. For example, a PDF generation library is used to create the report.

[1169] Step 10:

[1170] In the event of a disaster, if normal communication methods become unavailable, the device will automatically switch to satellite communication mode. The input is the detection of an abnormality in the communication status, and the output is a switch in communication methods. Specifically, the communication module automatically changes its internal settings to switch to satellite communication mode.

[1171] (Application example 2)

[1172] 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."

[1173] Conventional technologies do not suggest appropriate meals based on the user's health or emotional state, and food delivery services in particular have had the problem of providing meals without taking into account the user's physical condition or emotions. Furthermore, in the event of a disaster, it is difficult to confirm the safety of users and manage their health, so a rapid response is required.

[1174] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal worn on the user's body, means for receiving and storing physical condition data and emotional data transmitted from the terminal, AI means in the server for analyzing the physical condition data and emotional data and detecting abnormal values, means for notifying the user and emergency contacts when the server detects an abnormal value, a satellite communication module for automatically switching to satellite communication if normal communication means are unavailable during a disaster, and means for suggesting appropriate meals based on the user's emotional data and automatically delivering food. This makes it possible to suggest appropriate meals based on the user's physical condition and emotional state and automatically deliver food as needed. It also enables rapid safety confirmation and health management even during a disaster.

[1175] Yes, we have created definitions of important words included in the patent claims below according to application examples.

[1176] "User" refers to a person who uses the system.

[1177] A "terminal" refers to a device that is worn on the user's body and acquires and transmits physical condition data and emotional data.

[1178] "Physical condition data" refers to information about the user's physical condition, such as the user's blood pressure and heart rate.

[1179] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and behavioral patterns.

[1180] "Server" refers to a computer system that receives, stores, and analyzes physical condition data and emotional data sent from a terminal.

[1181] "AI means" refers to artificial intelligence technology that analyzes physical condition data and emotional data within a server and detects abnormal values.

[1182] "Means for notifying" refers to a means for notifying the user and emergency contacts of an abnormality when the server detects an abnormal value.

[1183] A "satellite communication module" refers to a device for satellite communication when normal communication means are unavailable during a disaster.

[1184] The "means for suggesting meals" refers to a means for selecting and notifying an appropriate meal based on the user's emotional data.

[1185] "Means for automated food delivery" means means for ordering meals using a food delivery service based on suggested meals.

[1186] This system consists of a device worn by the user and a server that manages the data transmitted from the device. The system's purpose is to suggest appropriate meals based on the user's physical and emotional state and automatically execute food delivery. It also supports rapid safety confirmation and health management in the event of a disaster.

[1187] System Configuration

[1188] 1. Terminal

[1189] The terminal is a device worn on the user's body and has the following main functions:

[1190] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1191] GPS module: Obtains the user's current location.

[1192] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1193] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1194] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1195] 2. Server

[1196] The server is a computer system that receives, stores, analyzes, and responds to data sent from devices. It has the following functions:

[1197] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1198] Data storage module: Stores the received data in a database.

[1199] AI analysis module: Analyzes stored health data and detects abnormal values.

[1200] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1201] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1202] Health Report Module: Generates and provides health reports to users periodically.

[1203] Meal suggestion module: Suggests appropriate meals based on the user's emotional state.

[1204] Food delivery management module: Automatically delivers food based on suggested meals.

[1205] Operation flow

[1206] Normal processing

[1207] First, the device measures the user's blood pressure and heart rate at regular intervals and sends this data, along with their current location and emotional data generated by the emotion engine, to the server. The server receives and stores this data, and the AI ​​analysis module analyzes the physical condition data to assess normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data and assesses the user's emotional state. Based on this, the server suggests appropriate meals and automatically arranges food delivery if necessary.

[1208] Disaster Preparedness

[1209] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode. It continuously transmits location information, physical condition data, and emotional data to a server at regular intervals. The server receives this information and stores it in a database in real time. An AI analysis module analyzes the received data to assess the user's safety and physical condition. If an abnormality is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures.

[1210] Specific examples

[1211] If a user measures their blood pressure at 8 a.m. and the emotion engine analyzes the voice data at that time, this data is immediately sent to the server. The server analyzes this data and immediately notifies them if any abnormalities are detected. It also provides appropriate mental health advice if the user's emotional state is unstable. Furthermore, it suggests healthy meals such as "soup" based on the emotion data and automatically places an order through food delivery.

[1212] Prompt Sentence Examples

[1213] "Based on the data of user ID '123456', please analyze the user's current physical and emotional state. Based on the results, please suggest an appropriate healthy meal and complete the order via food delivery service."

[1214] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1215] Step 1:

[1216] The server receives physical condition data and emotional data sent by the user. The inputs include blood pressure, heart rate, location information, and voice data sent from the user's terminal. The output is the received data. Specifically, the server uses a data reception module to receive data via a communication protocol (e.g., HTTPS).

[1217] Step 2:

[1218] The server stores the received physical condition data and emotion data in a database. The input is the data received in step 1. The output is the data stored in the database. Specifically, the server uses a data storage module to record the data in a database management system (e.g., MySQL, PostgreSQL).

[1219] Step 3:

[1220] The server analyzes the stored health data using an AI analysis module to detect outliers. The input is the health data stored in the database. The output is a flag indicating whether an outlier was detected. Specifically, the AI ​​analysis module processes the data using a machine learning model (e.g., TensorFlow, scikit-learn) to detect outliers that exceed a threshold.

[1221] Step 4:

[1222] If an abnormal value is detected, the server notifies the user and emergency contacts using the notification module. The input is information that an abnormal value has been detected. The output is a notification message to the user and emergency contacts. Specifically, the server uses the notification module to send emails, SMS, push notifications, etc.

[1223] Step 5:

[1224] The server analyzes the stored emotional data using an emotional data analysis module to evaluate the user's emotional state. The input is the emotional data stored in the database. The output is the evaluation result of the emotional state. Specifically, the emotional data analysis module analyzes the data using natural language processing technology (e.g., NLP model, Sentiment Analysis API).

[1225] Step 6:

[1226] The server suggests appropriate meals based on the user's emotional state. The input is the evaluation result of the user's emotional state. The output is a suggested meal menu. Specifically, the meal suggestion module uses pre-defined rules and AI models based on the user's emotional and health data to select appropriate meals.

[1227] Step 7:

[1228] The server orders the suggested meals from a food delivery service. The input is the meal menu and the user's location information. The output is the order information sent to the food delivery service. Specifically, the food delivery management module uses an external API (e.g., food delivery service API) to send the order in a specified format.

[1229] Step 8:

[1230] When a disaster occurs and normal communication methods are unavailable, the terminal automatically switches to satellite communication mode. The input is the result of checking the communication status. The output is an instruction to start satellite communication mode. Specifically, the terminal switches the communication module to prepare to switch to satellite communication and continue transmitting data.

[1231] Step 9:

[1232] When an emergency call is required, the terminal uses the satellite communication module to make the emergency contact. The input is an emergency call request made by the user. The output is the result of the emergency call execution. Specifically, the terminal makes a call to the emergency contact using the satellite communication module.

[1233] In this way, it is possible to provide appropriate meal suggestions and food delivery based on the user's physical and emotional state, as well as quickly confirm the user's safety and manage their health in the event of a disaster.

[1234] 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.

[1235] 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.

[1236] 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.

[1237] [Fourth embodiment]

[1238] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1239] 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.

[1240] 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).

[1241] 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.

[1242] 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.

[1243] 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).

[1244] 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.

[1245] 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.

[1246] 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.

[1247] 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.

[1248] 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.

[1249] 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.

[1250] 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."

[1251] The present invention is a system consisting of a terminal worn by a user, a server that manages data transmitted from the terminal, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster and to manage their daily health.

[1252] System Configuration

[1253] 1. Terminal

[1254] The terminal is a device worn on the user's body and has the following functions:

[1255] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1256] GPS module: Obtains the user's current location.

[1257] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1258] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1259] 2. Server

[1260] The server receives data sent from the terminal and has the following functions:

[1261] Data receiving module: Receives physical condition data and location information sent from the device.

[1262] Data storage module: Stores the received data in a database.

[1263] AI analysis module: Analyzes stored health data and detects abnormal values.

[1264] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[1265] Health Report Module: Generates and provides health reports to users periodically.

[1266] Program processing flow

[1267] Normal processing

[1268] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[1269] 2. The measurement data and current location information are sent from the device to the server.

[1270] 3. The server stores the received data in a database.

[1271] 4. The saved data is analyzed using an AI analysis module to determine whether the values ​​are normal or abnormal.

[1272] 5. If an abnormal value is detected, the notification module notifies the user and emergency contacts.

[1273] 6. From the daily data, the server generates a monthly health report and provides it to the user.

[1274] For example, if a user measures their blood pressure at 8 a.m., the data is immediately sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is made. However, if it is an abnormal value, a notification module is used to send a warning message to the user.

[1275] Disaster Preparedness

[1276] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1277] 2. The device continuously transmits location information and health data to a server via satellite.

[1278] 3. The server determines the user's safety based on the received information and notifies them as necessary.

[1279] 4. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency contact.

[1280] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically start satellite communication. If the user becomes ill, the device will continue to collect health data and send it to the server. The server will receive the data and, if an abnormal value is detected, will send a notification to emergency contacts.

[1281] The present invention is a system that realizes quick safety confirmation in the event of a disaster and daily health management, and integrates various functions to protect the safety and health of users.

[1282] The processing flow will be explained below.

[1283] Normal processing

[1284] Step 1:

[1285] The device measures the user's physical condition data (blood pressure, heart rate, etc.) at regular intervals using sensors.

[1286] Step 2:

[1287] The device collects the measured physical condition data and current location information, packets them, and sends them to the server.

[1288] Step 3:

[1289] The server receives the data packets sent from the terminal and stores them in a database.

[1290] Step 4:

[1291] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[1292] Step 5:

[1293] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[1294] Step 6:

[1295] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[1296] Step 7:

[1297] Based on the data collected daily, the server generates a monthly health report and provides it to the user.

[1298] Disaster Preparedness

[1299] Step 1:

[1300] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1301] Step 2:

[1302] The terminal continues to transmit location information and physical condition data to the server via satellite at regular intervals.

[1303] Step 3:

[1304] The server receives the information sent from the terminal and stores it in a database in real time.

[1305] Step 4:

[1306] The server's AI analysis module analyzes the received data and evaluates the user's safety status.

[1307] Step 5:

[1308] When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and, if necessary, instructs them on how to take remedial action.

[1309] Step 6:

[1310] If the user needs to make an emergency call, the terminal will use satellite communications to make the emergency contact.

[1311] The present invention realizes quick safety confirmation in the event of a disaster and daily health management through the above-described processing flow.

[1312] Example 1

[1313] 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."

[1314] Two issues need to be resolved: the difficulty of quickly and accurately confirming users' safety during a disaster, and the efficient implementation of daily health management. In particular, conventional systems have limited communication methods, making it difficult to make emergency contact during a disaster, and sometimes analyzing daily health data and detecting abnormalities cannot be performed quickly and accurately.

[1315] 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.

[1316] In this invention, the server includes means for receiving and storing physical condition data and location data, analysis means for analyzing the physical condition data and location data to detect abnormal values, notification means for notifying the user and emergency contacts when an abnormal value is detected, and satellite communication means for automatically switching to satellite communication when normal communication means are unavailable during a disaster. This makes it possible to quickly and accurately confirm the safety of users even during a disaster, and enables efficient and accurate daily health management.

[1317] A "terminal" is a device that is worn on the user's body and acquires physical condition data and location data.

[1318] A "server" is a device that receives, stores, and analyzes data sent from a terminal.

[1319] "Physical condition data" refers to information relating to the user's biological body, such as blood pressure and heart rate.

[1320] "Location data" refers to information indicating the user's current location.

[1321] The "analysis means" is a device or software that analyzes the received physical condition data and location data and determines whether the values ​​are normal or abnormal.

[1322] The "notification means" is a device or software that notifies the user and emergency contacts when an abnormal value is detected.

[1323] "Satellite communication means" means a device that communicates data via satellite when conventional communication means are unavailable.

[1324] "Emergency Contact" refers to a third party or organization designated to be notified when an abnormal value is detected.

[1325] A "health report" is a report on the user's health condition that is created based on collected physical condition data.

[1326] This invention is a system consisting of a device worn by the user and a server that receives, stores, and analyzes data sent from the device. Its main purpose is to quickly confirm the safety of users in the event of a disaster and to manage their health on a daily basis.

[1327] System Configuration

[1328] 1. Terminal

[1329] A terminal is a device that has the following functions:

[1330] Sensor module: Measures the user's physical condition data such as blood pressure and heart rate.

[1331] GPS module: Obtains the user's current location.

[1332] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1333] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1334] For example, when a user wears a wristwatch-type device, the device uses its built-in optical and pressure sensors to collect blood flow data and analyze it to calculate blood pressure and heart rate. If normal communication methods are unavailable, the device automatically switches to a satellite communication module to transmit data.

[1335] 2. Server

[1336] The server is a device that has the following functions:

[1337] Data receiving module: Receives physical condition data and location information sent from the device.

[1338] Data storage module: Stores the received data in a database.

[1339] AI analysis module: Analyzes stored health data and detects abnormal values.

[1340] Notification module: Notifies users and emergency contacts when an anomaly is detected.

[1341] Health Report Module: Generates and provides health reports to users periodically.

[1342] Specifically, the server can analyze health data using Python's scikit-learn library. If an abnormal value is detected, a notification module will send detailed notifications to the user and emergency contacts using a dedicated application or SMS service.

[1343] Example of flow

[1344] Normal processing example

[1345] If a user measures their blood pressure at 8 a.m., the data is instantly sent from the device to the server. The server analyzes the data and, if it is within the normal range, no notification is sent. If it is an abnormal value, a warning message is sent to the user using the notification module. The server also generates a monthly health report from daily data and provides it to the user via email or a dedicated app.

[1346] Example of input prompt sentence:

[1347] A user measures their blood pressure at 8am and sends the data to the server. Check whether the data is within the normal range or the abnormal range, and notify the user if it is within the abnormal range.

[1348] Examples of disaster response

[1349] If an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If a user becomes ill and presses the emergency button, their location and health data will be sent to the corresponding emergency contact.

[1350] Example of input prompt sentence:

[1351] An earthquake occurs, and the user falls ill while regular mobile networks are unavailable. The device should automatically start satellite communication and send health data to the server. If the server detects any abnormal values, it should notify emergency contacts.

[1352] In this way, the system aims to protect the safety and health of the user.

[1353] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1354] Step 1:

[1355] The device measures the user's physical condition data at specific time intervals. At this time, the sensor module collects blood pressure and heart rate, and the built-in GPS module obtains current location information. The user's biometric information and location information are provided as input, and these data are obtained as output.

[1356] Step 2:

[1357] The device sends the measured physical condition data and current location information to the server via the communication module. The input is the previously acquired physical condition data and location information, and the output is the data sent to the server. Specifically, the communication module transfers data using Wi-Fi or Bluetooth.

[1358] Step 3:

[1359] The server receives data sent from the device through a data receiving module and stores it in a database. The input is the received physical condition data and location information, and the output is data stored in the database in a structured format. Specifically, the data is stored and indexed in chronological order.

[1360] Step 4:

[1361] The server analyzes the stored data in real time using an AI analysis module. The input data is health data and location information stored in a database, and the output is a judgment result of whether the condition is normal or abnormal. Specifically, an anomaly detection algorithm is executed using the scikit-learn library.

[1362] Step 5:

[1363] If an abnormal value is detected, the server notifies the user and emergency contacts through the notification module. The input is the anomaly detection result from the AI ​​analysis module, and the output is whether or not a notification will be sent. Specifically, the notification module sends an alert via SMS, email, or a dedicated application.

[1364] Step 6:

[1365] The server periodically (e.g. monthly) generates a health report from the user's health data and provides it to the user. The input is the accumulated physical condition data, and the output is the generated health report. Specifically, the report is delivered to the user via email or a dedicated application.

[1366] (Application example 1)

[1367] 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."

[1368] Ensuring employee health and safety is crucial in today's work environment. However, it is not easy to provide employees with accurate information about their own health status and the means to respond quickly in emergencies. Managing employee location information and health status when normal communications are cut off during emergencies such as disasters is also a challenge. Therefore, there is a need for a comprehensive system that can monitor health data in real time and respond immediately when an abnormality is detected.

[1369] 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.

[1370] In this invention, the server includes a means for including an application installed on a smartphone for monitoring the employee's health status in real time, a means for acquiring location information using the smartphone's GPS function, a means for transmitting the health data and location information to a cloud server, and a means for generating and providing a health report based on the received data. This allows employees' health status to be monitored at any time and a prompt response to any abnormalities detected. Furthermore, in the event of a disaster, the server can manage the employee's location information and health status and respond promptly.

[1371] - "Terminal" refers to a device worn on the user's body that collects physical condition data and location information and transmits it to the server.

[1372] "Physical condition data" refers to data indicating the user's health condition, such as blood pressure, heart rate, and body temperature.

[1373] A "server" is a computer system that receives data sent from a terminal and processes it, such as storing, analyzing, notifying, and generating reports.

[1374] "AI means" refers to artificial intelligence technology that analyzes health data and detects abnormal values.

[1375] "Communication means" refers to the technology used to transmit data between the terminal and the server, including conventional communication and satellite communication.

[1376] A "satellite communications module" is hardware that enables communication via satellite when normal communication methods are unavailable, such as during a disaster.

[1377] A "GPS module" is hardware used to obtain the current location of a device.

[1378] "Notification means" refers to a technique for issuing a warning or notification to the user and emergency contacts when the server detects an abnormal value.

[1379] A "health report" is a report generated by the server that periodically compiles the user's health status.

[1380] A "smartphone application" is software that is installed on a smartphone and collects, transmits, and displays physical condition data and location information.

[1381] A "cloud server" is a remote server used to store, analyze, and process data over the Internet.

[1382] MODE FOR CARRYING OUT THE INVENTION

[1383] The present invention provides a health monitoring system for security services that includes a terminal worn on the user's body, a server that manages data, and supporting functions. Specific embodiments of the present invention are described below.

[1384] System Configuration

[1385] 1. Terminal

[1386] The terminal is a device worn on the user's body and has the following functions:

[1387] Sensor module: Regularly measures physical condition data such as blood pressure, heart rate, and body temperature.

[1388] GPS module: Obtains the user's current location.

[1389] Communication module: Bluetooth communication and satellite communication means for use in emergencies.

[1390] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1391] 2. Server

[1392] The server receives, stores, analyzes, notifies, and generates reports on data sent from the terminal. It has the following functions:

[1393] Data receiving module: Receives physical condition data and location information sent from the device.

[1394] Data storage module: Stores the received data in a database.

[1395] AI analysis module: Analyzes stored health data and detects abnormal values. Specific AI tools used include TensorFlow and PyTorch.

[1396] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1397] Health Report Module: Generates and provides health reports to users periodically.

[1398] 3. Smartphone Applications

[1399] The smartphone application is installed on the user's smartphone and works in conjunction with the device to achieve the following functions:

[1400] Data collection: Receives physical condition data from wearable devices via Bluetooth.

[1401] Location information acquisition: Location information is acquired using the smartphone's GPS function.

[1402] Data transmission: Collected physical condition data and location information are sent to a cloud server.

[1403] Processing Description

[1404] 1. Data Acquisition

[1405] The device periodically acquires health data using a sensor module and transfers it to a smartphone via Bluetooth, which then acquires location information using GPS.

[1406] 2. Data Transmission

[1407] The smartphone application sends the acquired physical condition data and location information to a cloud server using the HTTP(S) protocol.

[1408] 3. Data Analysis

[1409] The server stores the received data in a database. The received data is analyzed by an AI analysis module, which may detect outliers. In this case, the data is analyzed using AI tools such as TensorFlow and PyTorch.

[1410] 4. Notification

[1411] If an abnormal value is detected, the server's notification module generates an alert and notifies the user and emergency contacts via email, SMS, in-app notifications, and more.

[1412] 5. Health report generation

[1413] Periodically, the server generates and provides users and administrators with health reports detailing the user's health status and including comparisons with historical data.

[1414] Examples of specific examples and prompts

[1415] For example, if an employee wears a health monitoring device to work and their blood pressure is measured one morning and exceeds the normal range, the data is immediately sent to the server. The server analyzes the data, and if an abnormal value is detected, a notification is sent to the user and emergency contacts. In this way, the employee's health condition can be quickly identified and responded to.

[1416] An example prompt might look like this:

[1417] "Employees' blood pressure, heart rate, and body temperature are periodically collected from wearable devices, and the data is sent to a cloud server via a smartphone app. The server stores the data and uses an AI analysis module to monitor health conditions in real time. If any abnormal values ​​are detected, notifications are sent to employees and emergency contacts. Furthermore, health reports are periodically generated and provided to employees and managers."

[1418] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1419] Program processing flow

[1420] Step 1:

[1421] Users periodically collect physical condition data such as blood pressure, heart rate, and body temperature using a terminal (wearable device) worn on the body. The terminal's sensor module measures this data. The input is biometric information obtained from the user's body, and the output is physical condition data obtained via the sensor.

[1422] Step 2:

[1423] The device sends the measured physical condition data to the user's smartphone via Bluetooth communication. The smartphone application receives this data. The input is the physical condition data sent from the device, and the output is the health data stored in the smartphone application.

[1424] Step 3:

[1425] The smartphone uses its GPS function to obtain the user's current location. The smartphone's GPS sensor generates location information. The input is location data obtained from the smartphone's GPS sensor, and the output is the current location information.

[1426] Step 4:

[1427] The smartphone application sends the acquired physical condition data and location information to a cloud server via the Internet using the HTTP(S) protocol. The input is the health data and location information stored on the smartphone, and the output is the data sent to the cloud server.

[1428] Step 5:

[1429] The server stores the received health data and location information in a database. This is managed by the data storage module. The input is the health data and location information sent to the server, and the output is the data stored in the database.

[1430] Step 6:

[1431] The server's AI analysis module analyzes the health data stored in the database and detects abnormalities. It uses generative AI models such as TensorFlow or PyTorch. The input is the stored health data, and the output is the analysis result on whether or not there are any abnormalities.

[1432] Step 7:

[1433] If an anomaly is detected, the server uses the notification module to send a notification to the user and emergency contacts. Email, SMS, and in-app notifications are used. The input is the anomaly result obtained from the AI ​​analysis module, and the output is the notification message.

[1434] Step 8:

[1435] Periodically, the server generates health reports and provides them to users and administrators. This is done by a health report module, whose input is the entire period of health data stored in the database and whose output is a health report.

[1436] 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.

[1437] This invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[1438] System Configuration

[1439] 1. Terminal

[1440] The terminal is a device worn on the user's body and has the following functions:

[1441] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1442] GPS module: Obtains the user's current location.

[1443] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1444] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1445] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1446] 2. Server

[1447] The server receives data sent from the terminal and has the following functions:

[1448] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1449] Data storage module: Stores the received data in a database.

[1450] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[1451] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1452] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1453] Health Report Module: Generates and provides health reports to users periodically.

[1454] Program processing flow

[1455] Normal processing

[1456] 1. The device measures the user's blood pressure and heart rate at regular intervals.

[1457] 2. The measured physical condition data, current location information, and emotion data generated by the emotion engine are sent from the device to the server.

[1458] 3. The server stores the received data in a database.

[1459] 4. The AI ​​analysis module analyzes the health data and evaluates the normality of the data.

[1460] 5. If an abnormality is detected, the notification module notifies the user and emergency contacts.

[1461] 6. The emotion data analysis module analyzes the emotion data and evaluates the user's emotional state.

[1462] 7. Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1463] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[1464] Disaster Preparedness

[1465] 1. When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1466] 2. The device will continue to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[1467] 3. The server stores the received information in a database in real time.

[1468] 4. The AI ​​analysis module analyzes the received data and evaluates the user's safety status.

[1469] 5. When an abnormal value is detected on the server, the notification module notifies the user and emergency contacts and instructs rescue measures if necessary.

[1470] 6. If the user needs to make an emergency call, the terminal's satellite communication module is used to make the emergency call.

[1471] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[1472] In this way, the present invention is a system that not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[1473] The processing flow will be explained below.

[1474] Normal processing

[1475] Step 1:

[1476] The device measures the user's physical condition data (blood pressure and heart rate) at regular intervals using sensors.

[1477] Step 2:

[1478] The device collects measured physical condition data, current location information, and emotional data analyzed by an emotion engine.

[1479] Step 3:

[1480] The terminal transmits the collected data packets to the server.

[1481] Step 4:

[1482] The server receives the data packets sent from the terminal and stores them in a database.

[1483] Step 5:

[1484] The server's AI analysis module analyzes the stored health data and evaluates the normality of the data.

[1485] Step 6:

[1486] If the server detects an abnormal value, the AI ​​analysis module sends an abnormal value notification to the notification module.

[1487] Step 7:

[1488] The notification module sends notifications of abnormal values ​​to the user's device and emergency contacts.

[1489] Step 8:

[1490] An emotion data analysis module analyzes emotion data from the received data and evaluates the user's emotional state.

[1491] Step 9:

[1492] If significant emotional fluctuations are detected, the notification module will provide the user with advice on stress management and mental health.

[1493] Step 10:

[1494] Based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1495] Disaster Preparedness

[1496] Step 1:

[1497] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode.

[1498] Step 2:

[1499] The terminal transmits location information, physical condition data, and emotional data to a server via satellite at regular intervals.

[1500] Step 3:

[1501] The server receives the information sent from the terminal and stores it in a database in real time.

[1502] Step 4:

[1503] The server's AI analysis module analyzes the received data and evaluates the user's health and safety.

[1504] Step 5:

[1505] If the server detects an abnormal value, the notification module notifies the user and emergency contacts and instructs them on how to take action.

[1506] Step 6:

[1507] If necessary, the user can make an emergency call using the terminal's satellite communication function.

[1508] For example, if an earthquake occurs and normal communication methods become unavailable, the device will automatically switch to satellite communication. If the user is unwell and emotionally unstable, the device will continuously transmit this data to the server. The server will then analyze this data and, if necessary, send an emergency notification and provide appropriate assistance depending on the situation.

[1509] Example 2

[1510] 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."

[1511] In recent years, the importance of quickly confirming the safety of users during disasters and daily health management has increased. However, conventional systems have difficulty comprehensively collecting and analyzing users' physical condition data, acquiring location information, and monitoring their emotional state. Furthermore, they are inadequate in responding to situations in which normal communication methods become unavailable during disasters. Additionally, there is a lack of methods for assessing emotional state and providing appropriate feedback based on that assessment. This makes it difficult to achieve comprehensive health maintenance and rapid response.

[1512] 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.

[1513] In this invention, the server includes an artificial intelligence unit that analyzes physical condition data and detects abnormal values, a unit that notifies the user and emergency contacts, and a unit that analyzes emotional data and evaluates the user's emotional state. This enables comprehensive management and analysis of the user's physical condition data and location information, and in the event of a disaster, it can quickly switch to satellite communication to confirm the user's safety. In addition to daily health conditions, the server can also monitor emotional states and provide appropriate feedback to the user.

[1514] A "terminal" is a device worn on the user's body, and includes a sensor module, a GPS module, a communication module, an emergency call means, an emotion engine, and the like.

[1515] A "sensor module" is a component that has the function of periodically measuring a user's physical condition data, such as blood pressure and heart rate.

[1516] A "GPS module" is a component that has the function of obtaining the user's current location using the Global Positioning System.

[1517] A "communication module" is a component that provides communication means for transmitting and receiving data, and includes normal communication means and satellite communication means used in emergencies.

[1518] An "emergency call means" is a means that provides a function that allows a user to make a call in an emergency.

[1519] The "emotion engine" is a function that includes an algorithm that analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1520] A "server" is a computer system that receives and manages data sent from a terminal, and is a device that includes a data receiving module, a data storage module, an AI analysis module, a notification module, an emotion data analysis module, and a health report module.

[1521] The "data receiving module" is a component that provides the function of receiving physical condition data, emotional data, and location information sent from the terminal.

[1522] A "data storage module" is a component that provides the function of storing received data in a database.

[1523] The "AI analysis module" is a function that includes artificial intelligence that analyzes stored health data and detects abnormal values ​​in the data.

[1524] The "notification module" is a component that provides a function to notify the user and emergency contacts when an abnormal value is detected.

[1525] The "emotion data analysis module" is a component that provides a function for analyzing stored emotion data and evaluating the user's emotional state.

[1526] The "health report module" is a component that provides the functionality to generate and provide a comprehensive health report to the user based on the data collected daily.

[1527] A "satellite communication module" is a component that provides the function of automatically switching to satellite communication when normal communication methods are unavailable during a disaster.

[1528] The present invention is a system consisting of a device worn on the user's body, a server that manages data transmitted from the device, and various supporting functions. The purpose of this system is to quickly confirm the safety of users in the event of a disaster, and to monitor their daily health and emotional state.

[1529] System Configuration

[1530] 1. Terminal

[1531] The terminal is a device worn on the user's body and has the following functions:

[1532] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1533] GPS module: Obtains the user's current location.

[1534] Communications module: Includes normal communications means and satellite communications means for use in emergencies.

[1535] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1536] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1537] 2. Server

[1538] The server receives data sent from the terminal and has the following functions:

[1539] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1540] Data storage module: Stores the received data in a database.

[1541] AI analysis module: Analyzes stored health data and detects abnormal values ​​in the data.

[1542] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1543] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1544] Health Report Module: Generates and provides health reports to users periodically.

[1545] System Operation

[1546] Normal operation

[1547] The device periodically measures the user's blood pressure and heart rate using a sensor module. The device then sends the measured physical condition data, current location information, and emotional data generated by an emotion engine to a server. The server then stores the received data in a database, where an AI analysis module analyzes the physical condition data to assess its normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data to assess the user's emotional state. Finally, based on the data collected daily, the server generates a comprehensive health report and provides it to the user.

[1548] As a concrete example, let's say a user measures their blood pressure at 8:00 AM and the emotion engine analyzes the voice data from that time. This data is immediately sent from the device to the server. The server analyzes this data and immediately notifies the user if any abnormalities are detected, and provides appropriate mental health advice if the user's emotional state is unstable.

[1549] Operation in the event of a disaster

[1550] When a disaster occurs and normal means of communication become unavailable, the device automatically switches to satellite communication mode. The device continues to transmit location information, physical condition data, and emotional data to a server via satellite at regular intervals. The server stores the received information in a database in real time, and an AI analysis module analyzes the received data to evaluate the user's safety. If an abnormal value is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures. If the user needs to make an emergency call, the device's satellite communication module is used to make the emergency contact.

[1551] For example, if an earthquake occurs and regular mobile phone networks become unavailable, the device will automatically initiate satellite communication. If the user becomes physically unwell and emotionally unstable, the device will continue to collect this data and send it to a server. The server will receive this data and take appropriate action based on the analysis results.

[1552] Examples of prompts:

[1553] Please explain the algorithm of the system that measures blood pressure at 8am and sends the voice data analyzed by the emotion engine to the server.

[1554] What is the communication flow between the terminal and the server in the event of an earthquake?

[1555] As a result, this system not only quickly confirms the safety of users in the event of a disaster and manages their daily health, but also monitors the user's emotional state and supports overall health maintenance.

[1556] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1557] Step 1:

[1558] The device measures the user's blood pressure and heart rate at regular intervals. Specifically, the sensor module captures the user's physical condition data. The input is physiological signals from the user's body, and the output is blood pressure and heart rate data.

[1559] Step 2:

[1560] The device receives measured physical condition data (input), current location information (data obtained from the GPS module), and emotional data analyzed by the emotion engine (evaluation of the user's emotional state based on the user's voice data). Specifically, the GPS module measures the current location, and the emotion engine analyzes the voice data. The output is physical condition data, location information, and emotional data.

[1561] Step 3:

[1562] The device transmits these data to the server via a communication module. The input is physical condition data, location information, and emotion data, and the output is data transmission to the server.

[1563] Step 4:

[1564] The server uses the data receiving module to receive data sent from the terminal. The input is data from the terminal, and the output is storing the data in the server's internal memory. Specifically, the server receives data via the network and temporarily stores the received data.

[1565] Step 5:

[1566] The server uses a data storage module to persistently store the received data in a database. The input is the received data, and the output is the data stored in the database. Specific operations on the database are insert operations using SQL queries.

[1567] Step 6:

[1568] The AI ​​analysis module in the server analyzes the health data stored in the database and evaluates the normality of the data. The input is the health data in the database, and the output is the analysis results. Specifically, the AI ​​model executes an algorithm to detect outliers. A machine learning predictive model is used for this calculation.

[1569] Step 7:

[1570] If an anomaly is detected, the server uses a notification module to notify the user and emergency contacts. The input is the anomaly flag from the analysis results, and the output is an alert notification to the user and emergency contacts. Specific communication methods used include sending email, SMS, and push notifications.

[1571] Step 8:

[1572] The emotion data analysis module in the server analyzes the stored emotion data and evaluates the user's emotional state. The input is the emotion data from the database, and the output is the evaluation result of the emotional state. Specifically, the emotion analysis algorithm analyzes the voice data and evaluates stress levels and emotional fluctuations.

[1573] Step 9:

[1574] The server generates health reports based on the data collected daily and provides them to users. The input is all the data stored in the database, and the output is a comprehensive health report. Specifically, the report generation module periodically aggregates the data and formats it into a report. For example, a PDF generation library is used to create the report.

[1575] Step 10:

[1576] In the event of a disaster, if normal communication methods become unavailable, the device will automatically switch to satellite communication mode. The input is the detection of an abnormality in the communication status, and the output is a switch in communication methods. Specifically, the communication module automatically changes its internal settings to switch to satellite communication mode.

[1577] (Application example 2)

[1578] 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."

[1579] Conventional technologies do not suggest appropriate meals based on the user's health or emotional state, and food delivery services in particular have had the problem of providing meals without taking into account the user's physical condition or emotions. Furthermore, in the event of a disaster, it is difficult to confirm the safety of users and manage their health, so a rapid response is required.

[1580] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes a terminal worn on the user's body, means for receiving and storing physical condition data and emotional data transmitted from the terminal, AI means in the server for analyzing the physical condition data and emotional data and detecting abnormal values, means for notifying the user and emergency contacts when the server detects an abnormal value, a satellite communication module for automatically switching to satellite communication if normal communication means are unavailable during a disaster, and means for suggesting appropriate meals based on the user's emotional data and automatically delivering food. This makes it possible to suggest appropriate meals based on the user's physical condition and emotional state and automatically deliver food as needed. It also enables rapid safety confirmation and health management even during a disaster.

[1581] Yes, we have created definitions of important words included in the patent claims below according to application examples.

[1582] "User" refers to a person who uses the system.

[1583] A "terminal" refers to a device that is worn on the user's body and acquires and transmits physical condition data and emotional data.

[1584] "Physical condition data" refers to information about the user's physical condition, such as the user's blood pressure and heart rate.

[1585] "Emotion data" refers to information about the user's emotional state obtained by analyzing the user's voice data and behavioral patterns.

[1586] "Server" refers to a computer system that receives, stores, and analyzes physical condition data and emotional data sent from a terminal.

[1587] "AI means" refers to artificial intelligence technology that analyzes physical condition data and emotional data within a server and detects abnormal values.

[1588] "Means for notifying" refers to a means for notifying the user and emergency contacts of an abnormality when the server detects an abnormal value.

[1589] A "satellite communication module" refers to a device for satellite communication when normal communication means are unavailable during a disaster.

[1590] The "means for suggesting meals" refers to a means for selecting and notifying an appropriate meal based on the user's emotional data.

[1591] "Means for automated food delivery" means means for ordering meals using a food delivery service based on suggested meals.

[1592] This system consists of a device worn by the user and a server that manages the data transmitted from the device. The system's purpose is to suggest appropriate meals based on the user's physical and emotional state and automatically execute food delivery. It also supports rapid safety confirmation and health management in the event of a disaster.

[1593] System Configuration

[1594] 1. Terminal

[1595] The terminal is a device worn on the user's body and has the following main functions:

[1596] Sensor module: Regularly measures the user's physical condition data, such as blood pressure and heart rate.

[1597] GPS module: Obtains the user's current location.

[1598] Communications module: Regular communications means and satellite communications means for use in emergencies.

[1599] Emergency calling facility: A facility that allows users to make emergency calls when necessary.

[1600] Emotion engine: Analyzes the user's voice data and behavioral patterns to recognize their emotional state.

[1601] 2. Server

[1602] The server is a computer system that receives, stores, analyzes, and responds to data sent from devices. It has the following functions:

[1603] Data receiving module: Receives physical condition data, emotional data, and location information sent from the terminal.

[1604] Data storage module: Stores the received data in a database.

[1605] AI analysis module: Analyzes stored health data and detects abnormal values.

[1606] Notification module: Notifies the user and emergency contacts when an abnormal value is detected.

[1607] Emotional Data Analysis Module: Analyzes the stored emotional data and evaluates the user's emotional state.

[1608] Health Report Module: Generates and provides health reports to users periodically.

[1609] Meal suggestion module: Suggests appropriate meals based on the user's emotional state.

[1610] Food delivery management module: Automatically delivers food based on suggested meals.

[1611] Operation flow

[1612] Normal processing

[1613] First, the device measures the user's blood pressure and heart rate at regular intervals and sends this data, along with their current location and emotional data generated by the emotion engine, to the server. The server receives and stores this data, and the AI ​​analysis module analyzes the physical condition data to assess normality. If an abnormality is detected, the notification module notifies the user and emergency contacts. The emotion data analysis module also analyzes the emotional data and assesses the user's emotional state. Based on this, the server suggests appropriate meals and automatically arranges food delivery if necessary.

[1614] Disaster Preparedness

[1615] When a disaster occurs and normal communication methods become unavailable, the device automatically switches to satellite communication mode. It continuously transmits location information, physical condition data, and emotional data to a server at regular intervals. The server receives this information and stores it in a database in real time. An AI analysis module analyzes the received data to assess the user's safety and physical condition. If an abnormality is detected, the notification module notifies the user and emergency contacts and, if necessary, instructs rescue measures.

[1616] Specific examples

[1617] If a user measures their blood pressure at 8 a.m. and the emotion engine analyzes the voice data at that time, this data is immediately sent to the server. The server analyzes this data and immediately notifies them if any abnormalities are detected. It also provides appropriate mental health advice if the user's emotional state is unstable. Furthermore, it suggests healthy meals such as "soup" based on the emotion data and automatically places an order through food delivery.

[1618] Prompt Sentence Examples

[1619] "Based on the data of user ID '123456', please analyze the user's current physical and emotional state. Based on the results, please suggest an appropriate healthy meal and complete the order via food delivery service."

[1620] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1621] Step 1:

[1622] The server receives physical condition data and emotional data sent by the user. The inputs include blood pressure, heart rate, location information, and voice data sent from the user's terminal. The output is the received data. Specifically, the server uses a data reception module to receive data via a communication protocol (e.g., HTTPS).

[1623] Step 2:

[1624] The server stores the received physical condition data and emotion data in a database. The input is the data received in step 1. The output is the data stored in the database. Specifically, the server uses a data storage module to record the data in a database management system (e.g., MySQL, PostgreSQL).

[1625] Step 3:

[1626] The server analyzes the stored health data using an AI analysis module to detect outliers. The input is the health data stored in the database. The output is a flag indicating whether an outlier was detected. Specifically, the AI ​​analysis module processes the data using a machine learning model (e.g., TensorFlow, scikit-learn) to detect outliers that exceed a threshold.

[1627] Step 4:

[1628] If an abnormal value is detected, the server notifies the user and emergency contacts using the notification module. The input is information that an abnormal value has been detected. The output is a notification message to the user and emergency contacts. Specifically, the server uses the notification module to send emails, SMS, push notifications, etc.

[1629] Step 5:

[1630] The server analyzes the stored emotional data using an emotional data analysis module to evaluate the user's emotional state. The input is the emotional data stored in the database. The output is the evaluation result of the emotional state. Specifically, the emotional data analysis module analyzes the data using natural language processing technology (e.g., NLP model, Sentiment Analysis API).

[1631] Step 6:

[1632] The server suggests appropriate meals based on the user's emotional state. The input is the evaluation result of the user's emotional state. The output is a suggested meal menu. Specifically, the meal suggestion module uses pre-defined rules and AI models based on the user's emotional and health data to select appropriate meals.

[1633] Step 7:

[1634] The server orders the suggested meals from a food delivery service. The input is the meal menu and the user's location information. The output is the order information sent to the food delivery service. Specifically, the food delivery management module uses an external API (e.g., food delivery service API) to send the order in a specified format.

[1635] Step 8:

[1636] When a disaster occurs and normal communication methods are unavailable, the terminal automatically switches to satellite communication mode. The input is the result of checking the communication status. The output is an instruction to start satellite communication mode. Specifically, the terminal switches the communication module to prepare to switch to satellite communication and continue transmitting data.

[1637] Step 9:

[1638] When an emergency call is required, the terminal uses the satellite communication module to make the emergency contact. The input is an emergency call request made by the user. The output is the result of the emergency call execution. Specifically, the terminal makes a call to the emergency contact using the satellite communication module.

[1639] In this way, it is possible to provide appropriate meal suggestions and food delivery based on the user's physical and emotional state, as well as quickly confirm the user's safety and manage their health in the event of a disaster.

[1640] 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.

[1641] 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.

[1642] 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.

[1643] 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.

[1644] 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.

[1645] 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.

[1646] 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).

[1647] 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.

[1648] 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."

[1649] 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.

[1650] 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).

[1651] 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.

[1652] 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.

[1653] 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.

[1654] 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.

[1655] 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.

[1656] 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.

[1657] 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.

[1658] 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.

[1659] 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.

[1660] 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.

[1661] The following is further disclosed regarding the above embodiment.

[1662] (Claim 1)

[1663] a terminal worn on the user's body;

[1664] a server that receives and stores the physical condition data transmitted from the terminal;

[1665] In the server, an AI means for analyzing the physical condition data and detecting abnormal values;

[1666] means for notifying a user and an emergency contact when the server detects an abnormal value;

[1667] A system equipped with a satellite communication module and including a means for automatically switching to satellite communication when normal communication means are unavailable during a disaster.

[1668] (Claim 2)

[1669] 2. The system according to claim 1, wherein the terminal includes a GPS module that acquires user location information and transmits it to the server.

[1670] (Claim 3)

[1671] 10. The system of claim 1, wherein said terminal includes means for making an emergency call via satellite communication if necessary for the user.

[1672] "Example 1"

[1673] (Claim 1)

[1674] a terminal worn on the user's body;

[1675] a server that receives and stores the physical condition data and location data transmitted from the terminal;

[1676] an analysis means in the server for analyzing the physical condition data and the location data to detect abnormal values;

[1677] a notification means for notifying the user and an emergency contact when the server detects an abnormal value;

[1678] A system equipped with satellite communication means and means for automatically switching to satellite communication when normal communication means are unavailable during a disaster.

[1679] (Claim 2)

[1680] 2. The system according to claim 1, wherein the terminal includes location information acquisition means for acquiring user location data and transmitting the data to the server.

[1681] (Claim 3)

[1682] 2. The system of claim 1, wherein said terminal includes communication means for making emergency calls via satellite communication if necessary for the user.

[1683] "Application Example 1"

[1684] New claims (including application examples)

[1685] (Claim 1)

[1686] a terminal worn on the user's body;

[1687] a server that receives and stores the physical condition data transmitted from the terminal;

[1688] In the server, an AI means for analyzing the physical condition data and detecting abnormal values;

[1689] means for notifying a user and an emergency contact when the server detects an abnormal value;

[1690] A satellite communication module is provided, and a means for automatically switching to satellite communication when normal communication means are unavailable during a disaster is provided.

[1691] a means including an application to be installed on a smartphone for real-time monitoring of the health status of employees;

[1692] A means for acquiring location information using a GPS function of the smartphone;

[1693] means for transmitting the health data and location information to a cloud server;

[1694] The system includes means for generating and providing a health report based on the received data.

[1695] (Claim 2)

[1696] 2. The system according to claim 1, wherein the terminal includes a GPS module that acquires user location information and transmits it to the server.

[1697] (Claim 3)

[1698] 10. The system of claim 1, wherein said terminal includes means for making an emergency call via satellite communication if necessary for the user.

[1699] "Example 2: Combining Emotion Engines"

[1700] (Claim 1)

[1701] a terminal worn on the user's body;

[1702] a server that receives and stores the physical condition data transmitted from the terminal;

[1703] an artificial intelligence means in the server that analyzes the physical condition data and detects abnormal values;

[1704] means for notifying a user and an emergency contact when the server detects an abnormal value;

[1705] A satellite communication module is provided, and a means for automatically switching to satellite communication when normal communication means are unavailable during a disaster is provided.

[1706] means for analyzing the user's voice data and evaluating the user's emotional state using an emotion engine installed in the terminal;

[1707] means for analyzing emotion data in the server and assessing the user's emotional state;

[1708] means for the server to periodically generate and provide a health report to a user;

[1709] …

[1710] A system including:

[1711] (Claim 2)

[1712] 10. The system of claim 1, wherein the terminal includes a global positioning system module that obtains and transmits user location information to the server.

[1713] (Claim 3)

[1714] 10. The system of claim 1, wherein said terminal includes means for making an emergency call via satellite communication if necessary for the user.

[1715] "Application example 2 when combining emotion engines"

[1716] (Claim 1)

[1717] a terminal worn on the user's body;

[1718] a server that receives and stores the physical condition data and emotion data transmitted from the terminal;

[1719] an AI means in the server that analyzes physical condition data and emotion data and detects abnormal values;

[1720] means for notifying a user and an emergency contact when the server detects an abnormal value;

[1721] A satellite communication module is provided, and a means for automatically switching to satellite communication when normal communication means are unavailable during a disaster is provided.

[1722] A means for suggesting appropriate meals based on the user's emotional data and automatically delivering food;

[1723] A system including:

[1724] (Claim 2)

[1725] 2. The system according to claim 1, wherein the terminal includes a GPS module that acquires user location information and transmits it to the server.

[1726] (Claim 3)

[1727] 10. The system of claim 1, wherein said terminal includes means for making an emergency call via satellite communication if necessary for the user. [Explanation of symbols]

[1728] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. a terminal worn on the user's body; a server that receives and stores the physical condition data transmitted from the terminal; In the server, an AI means for analyzing the physical condition data and detecting abnormal values; means for notifying a user and an emergency contact when the server detects an abnormal value; A system equipped with a satellite communication module and including a means for automatically switching to satellite communication when normal communication means are unavailable during a disaster.

2. The system according to claim 1 , wherein the terminal includes a GPS module that acquires user location information and transmits it to the server.

3. 2. The system of claim 1, wherein said terminal includes means for making emergency calls via satellite communications if necessary for the user.

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