System

Abstract

A system is provided.SOLUTION: A system comprising: means for measuring biological information of a user; means for acquiring position information of the user; means for analyzing the acquired biological information and position information; means for issuing an alert when an abnormality is detected based on the analysis; and means for automatically notifying an emergency contact address of the user and a relevant authority.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] In modern society, everyone, from children to the elderly, is exposed to a variety of dangers. Problems such as poor health, drowning, heatstroke, sexual assault, and elderly wandering are particularly serious, requiring rapid and effective responses. However, current devices and systems have difficulty comprehensively detecting these diverse dangers and taking appropriate measures. Therefore, new technologies are needed to effectively protect users from these diverse risks. [Means for solving the problem]

[0005] In order to solve the above problems, the present invention provides a system including a means for measuring a user's biometric information, a means for acquiring the user's location information, a means for analyzing the acquired biometric information and location information, a means for issuing an alert if an abnormality is detected based on the analysis, a means for automatically notifying the user's emergency contacts and relevant authorities, a means for transmitting the measured biometric information and location information to a server, and a means for monitoring the user's surrounding environment, detecting abnormal environmental changes, and issuing an alert. This makes it possible to monitor the user's health status and environmental risks in real time, issue warnings at appropriate times, and quickly notify relevant parties when necessary.

[0006] "User's biological information" is data that indicates the user's physical health condition, such as body temperature, heart rate, blood pressure, and respiratory rate.

[0007] "User location information" means geographical data obtained by GPS data or other location measurement means for identifying the user's current location.

[0008] "Means for analysis" refers to algorithms and software for detecting abnormalities based on acquired biometric and location information.

[0009] An "alert issuing means" is a device or system that provides a warning to the user through sound, vibration, display, etc. when an abnormality is detected.

[0010] A "notification mechanism" is a system that automatically notifies the user's emergency contacts and appropriate authorities of any abnormal conditions or dangers that may occur.

[0011] The "means for transmitting to the server" is a communication device for transmitting the user's biometric information and location information to a remote server via the Internet or a dedicated line.

[0012] "Monitoring" is the process of continuously observing and recording the state of a user and their surrounding environment, and detecting any abnormalities or dangers that occur.

[0013] "Means for detecting environmental changes" refers to sensors and analysis systems that collect environmental data such as ambient temperature, humidity, and pressure and detect abnormal values. [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 showing a processing flow of the data processing system according to the first embodiment. [Figure 12] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 1. [Figure 13]FIG. 10 is a sequence diagram showing the flow of processing in the data processing system according to the second embodiment when an emotion engine is combined. [Figure 14] FIG. 10 is a sequence diagram showing the flow of processing in the data processing system in Application Example 2 when an emotion engine is combined. DETAILED DESCRIPTION OF THE INVENTION

[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 AI ​​smartwatch of the present invention provides a system that collects a user's biometric information and location information, analyzes that data to detect abnormalities, and issues alerts as necessary. Specific embodiments of the system are described below.

[0036] System configuration

[0037] The system consists of the following main components:

[0038] 1. Device (smartwatch worn by the user)

[0039] 2. Server (a remote server that collects and analyzes data)

[0040] 3. Your emergency contacts and authorities (who will receive notifications)

[0041] Device (smartwatch)

[0042] Measurement of biological information

[0043] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[0044] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0045] Obtaining location information

[0046] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[0047] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[0048] Sending alerts

[0049] 3. The device has the ability to emit a voice alert if an abnormality is detected.

[0050] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[0051] Communication Function

[0052] 4. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server.

[0053] server

[0054] Receiving and analyzing data

[0055] 1. The server receives biometric and location information sent from the device and analyzes it in real time.

[0056] The analysis uses outlier detection algorithms and predictive models.

[0057] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[0058] Alert Instructions

[0059] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0060] Notification function

[0061] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[0062] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[0063] Specific examples

[0064] Preventing heatstroke

[0065] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0066] 2. The server receives this information and determines that there is a risk of heatstroke.

[0067] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0068] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0069] Elderly people wandering

[0070] 1. The device collects GPS data and detects unusual movement patterns.

[0071] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0072] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0073] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0074] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and provide necessary alerts and notifications.

[0075] The processing flow will be explained below.

[0076] Step 1:

[0077] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[0078] The user enters the required information into the smartphone app.

[0079] The app will pair with your smartwatch.

[0080] Step 2:

[0081] The terminal transmits the user information to the server.

[0082] The smartphone app calls an API that sends data to the server via the device.

[0083] Step 3:

[0084] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[0085] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[0086] The server sends the setting information to the terminal.

[0087] Step 4:

[0088] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[0089] Built-in sensors collect data.

[0090] Data is collected at regular intervals and stored in the device's memory.

[0091] Step 5:

[0092] The terminal transmits the collected data to the server.

[0093] The terminal sends the collected data to the server at regular intervals.

[0094] Step 6:

[0095] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[0096] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[0097] Step 7:

[0098] The device will send an alert if an abnormality is detected.

[0099] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[0100] Step 8:

[0101] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location.

[0102] Your device will send GPS data to your emergency contacts via SMS or app notification.

[0103] Step 9:

[0104] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[0105] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[0106] Step 10:

[0107] The device continuously transmits the user's current location to the server in real time.

[0108] The device sends GPS data to the server at set intervals.

[0109] Step 11:

[0110] The device records the surroundings using the built-in camera and sends it to the server.

[0111] The device collects images using the camera module and uploads them to the server.

[0112] Example 1

[0113] 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."

[0114] Conventional systems that collect and monitor biometric and location information face the challenge of detecting abnormalities in real time and taking prompt and appropriate action. Furthermore, to fully ensure the health and safety of users, it is necessary to predict a variety of abnormal patterns and issue appropriate alerts. Notifications in emergencies must also be sent quickly and reliably. Furthermore, there is a need for systems that can monitor changes in the surrounding environment and issue warnings based on those changes.

[0115] 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.

[0116] In this invention, the server includes a means for analyzing the acquired biometric information and location information, a means including a prediction model for detecting abnormal values ​​in real time, and a means for sending an alert instruction to the terminal, thereby enabling constant monitoring of the user's health condition and location information, rapid detection of abnormalities, and necessary alerts and notifications.

[0117] The "means for measuring biological information" is a device including a sensor for acquiring data related to the user's biological body, such as body temperature and heart rate.

[0118] A "means for acquiring location information" is a device that uses a GPS module or other location tracking technology to measure the user's current location.

[0119] The "analyzing means" is a device that includes algorithms and software for analyzing the acquired biometric information and location information.

[0120] A "predictive model" is a machine learning model that predicts future abnormal values ​​and risks based on past data and statistical analysis.

[0121] An "alert means" is a device that includes a voice message, vibration, or other notification method to notify the user of an abnormality.

[0122] The "means for sending an instruction to issue an alert to the terminal" is a communication means by which the server sends an instruction to issue an alert to the terminal based on the analysis result.

[0123] "Means for automatically notifying emergency contacts and appropriate authorities" refers to a system for automatically notifying a user's emergency contacts and appropriate authorities in the event of an emergency.

[0124] A "server" is a remote computing device that receives data, analyzes it, detects anomalies, and notifies you.

[0125] A "terminal" is a device such as a smartwatch worn by a user that measures biometric and location information and communicates with a server.

[0126] The present invention is a system that collects biometric information and location information of a user, analyzes the information to detect abnormalities, and issues an alert as necessary. Specific embodiments of the system will be described below.

[0127] System configuration

[0128] The system consists of the following main components:

[0129] 1. Device (smartwatch worn by the user)

[0130] 2. Server (a remote server that collects and analyzes data)

[0131] 3. Your emergency contacts and authorities (who will receive notifications)

[0132] Device (smartwatch)

[0133] Measurement of biological information

[0134] The device has built-in sensors to measure the user's body temperature and heart rate. For example, when a user wears a smartwatch, the heart rate sensor constantly measures the user's heart rate and updates the data every 15 seconds.

[0135] Obtaining location information

[0136] The device is equipped with a GPS module that can obtain the user's current location in real time. For example, while the user is moving, the GPS module updates the location information every 10 seconds and prepares to send it to the server.

[0137] Sending alerts

[0138] The device has a function to issue a voice alert if an abnormality is detected. For example, if the user enters a dangerous area, a voice will warn the user, saying, "It's dangerous. Please get away from here."

[0139] Communication Function

[0140] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server. The appropriate communication method is selected to transmit the data efficiently.

[0141] server

[0142] Receiving and analyzing data

[0143] The server receives biometric and location information from the device and analyzes it in real time. It uses algorithms and predictive models to detect abnormal values. For example, if a user's body temperature exceeds 38 degrees, it determines that there is a risk of heatstroke and generates instructions to send an alert.

[0144] Alert Instructions

[0145] If the server detects an abnormality based on the analysis results, it sends an instruction to the device to issue an alert, allowing the device to immediately warn the user of the abnormal situation.

[0146] Notification function

[0147] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a possibility of sexual assault, parents and the appropriate authorities will be notified with their location.

[0148] Specific examples

[0149] Preventing heatstroke

[0150] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0151] 2. The server receives this information and determines that there is a risk of heatstroke.

[0152] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0153] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0154] Elderly people wandering

[0155] 1. The device collects GPS data and detects unusual movement patterns.

[0156] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0157] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0158] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0159] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and effectively provide necessary alerts and notifications.

[0160] An example of a prompt for the generative AI model is, "Generate an appropriate alert message if the user's body temperature exceeds 37.5 degrees."

[0161] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0162] Step 1:

[0163] The device collects the user's biometric information. When the user wears the smartwatch, the heart rate sensor and body temperature sensor are activated and collect data continuously. Specifically, the heart rate sensor obtains new heart rate data every 15 seconds, and the body temperature sensor measures body temperature in real time. This biometric information (heart rate, body temperature) becomes the input data.

[0164] Step 2:

[0165] The device acquires location information. The built-in GPS module acquires the user's current location every 10 seconds and saves it as data. Specifically, latitude and longitude information is recorded as input data.

[0166] Step 3:

[0167] The device transmits the collected biometric and location information to a server. Using a communication module (Wi-Fi, Bluetooth, or cellular communication), the device periodically transmits the collected data to the server. Specifically, a compressed packet is generated for each data point and sent to the server via the network.

[0168] Step 4:

[0169] The server receives the biometric and location information sent from the device. The received data is input into an analysis algorithm. Specifically, the data is received via HTTP requests or WebSockets and stored in a database for analysis.

[0170] Step 5:

[0171] The server analyzes the received data in real time, using anomaly detection algorithms and predictive models. For example, if a user's body temperature data is input and the value exceeds 38 degrees, it is determined to be abnormal. The analysis results are output data.

[0172] Step 6:

[0173] If the server detects an abnormality based on the analysis results, it sends an instruction to issue an alert to the terminal. Specifically, output data for the abnormality determination is generated, and an alert message (e.g., "Your body temperature is too high. Please drink plenty of fluids") is constructed based on that data.

[0174] Step 7:

[0175] The device receives instructions from the server and issues an alert to the user, specifically by playing a voice message or vibrating the device.

[0176] Step 8:

[0177] If an abnormality is detected, the server automatically notifies the user's emergency contacts and the relevant authorities by generating and sending an email or SMS containing the user's current location and a description of the abnormality.

[0178] This allows the system to monitor the user's biometric and location information in real time, quickly detect abnormalities, and provide appropriate alerts and notifications.

[0179] (Application example 1)

[0180] 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."

[0181] In conventional logistics centers, there are insufficient means for constantly monitoring the health status of staff, resulting in the risk of heatstroke and abnormal movement. Furthermore, there is a lack of a system that can quickly detect these abnormalities, issue an alert, and notify the manager, resulting in safety management issues. The present invention aims to solve these issues and provide a system that ensures the safety of staff.

[0182] 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.

[0183] In this invention, the server includes means for analyzing the user's biometric information, means for analyzing location information, and means for issuing an alert when an abnormality is detected. This makes it possible to monitor the health status and location information of staff in real time, and to immediately issue an alert and notify the administrator when an abnormality is detected.

[0184] A "user" is a person who wears and uses the system.

[0185] "Biometric information" refers to data relating to the user's physical condition, specifically body temperature, heart rate, and the like.

[0186] "Location information" is data relating to the user's current geographical location obtained using a GPS or the like.

[0187] "Analysis" refers to data processing and analysis procedures for detecting abnormalities based on collected biometric and location information.

[0188] "Abnormal" refers to an abnormal state such as a value outside the normal range of biological information or movement that differs from a normal movement pattern.

[0189] An "alert" is a warning or caution notice sent to users and administrators when an abnormality is detected.

[0190] An "emergency contact" is a person or organization authorized to receive emergency notifications in the event that the user experiences an abnormality.

[0191] "Relevant Authority" means any public body, service provider or other organisation responsible for protecting and managing the safety and health of users.

[0192] "Prediction" is the act of detecting and estimating future risks and abnormalities based on collected biometric and location information.

[0193] "Administrator" means the person or entity responsible for monitoring and operating the system at a distribution center or other facility.

[0194] A "remote server" is a remote computer system that receives and analyzes data sent from a smartwatch.

[0195] System Overview

[0196] This system monitors the biometric information and location information of users working in the logistics center in real time, and has the ability to detect abnormalities and send alerts. The system consists of a smartwatch (terminal), a remote server, and an administrator.

[0197] Device (smartwatch)

[0198] Measurement of biological information

[0199] The device has built-in sensors that measure the user's body temperature and heart rate. For example, the heart rate sensor measures the user's heart rate continuously and updates the data every 15 seconds.

[0200] Obtaining location information

[0201] The device is equipped with a GPS module that acquires the user's current location in real time. For example, the device updates the user's location every 10 seconds while the user is moving and sends it to the server.

[0202] Sending alerts

[0203] The device has the ability to issue a voice alert if an abnormality is detected. For example, if there is a high risk of heatstroke, it will warn the user by saying, "Your body temperature is too high. Please drink plenty of fluids."

[0204] Communication Function

[0205] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric and location information to a remote server.

[0206] Remote Server

[0207] Receiving and analyzing data

[0208] The remote server receives the biometric and location information sent from the device and analyzes it in real time using anomaly detection algorithms and predictive models. For example, if a person's body temperature exceeds 38 degrees, it may determine that they are at risk of heatstroke.

[0209] Alert Instructions

[0210] If an abnormality is detected based on the analysis results, the remote server sends an instruction to the terminal to issue an alert.

[0211] Notification function

[0212] The remote server automatically notifies emergency contacts and administrators when an abnormality occurs. For example, if an abnormal movement pattern is detected, an alert will be sent to the administrator.

[0213] Hardware and software used

[0214] Hardware

[0215] Smartwatch: Heart rate sensor, body temperature sensor, GPS module

[0216] remote server: computer system for data analysis

[0217] software

[0218] Data Analysis Algorithms: Software for Outlier Detection and Risk Prediction

[0219] Communication modules: Wi-Fi, Bluetooth, cellular communication

[0220] Specific examples

[0221] For example, if a user (staff member) in a logistics center has a body temperature above 38 degrees, the device will detect the abnormality based on data obtained from the heart rate sensor and immediately send out an audio alert. At the same time, the remote server will notify the administrator, enabling a prompt response.

[0222] Prompt Sentence Examples

[0223] An example of a prompt to input to a generative AI model is:

[0224] Generate a Python program that meets the following requirements:

[0225] Biometric information (heart rate, body temperature) and GPS information are obtained from the smartwatch.

[0226] The acquired data is sent to the server.

[0227] Receives a response from the server and displays an alert if an abnormality is detected.

[0228] The above is a detailed description of the mode for carrying out the invention.

[0229] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0230] Step 1:

[0231] The device measures the user's biometric information. Specifically, the smartwatch has a built-in heart rate sensor that measures the user's heart rate, and a body temperature sensor that measures the user's body temperature. The sensors acquire the user's heart rate and body temperature as input, and the measured heart rate and body temperature data are obtained as output.

[0232] Step 2:

[0233] The terminal acquires location information. The GPS module acquires the user's current location in real time. The GPS module acquires the user's current location as input, and the user's location information data is obtained as output.

[0234] Step 3:

[0235] The device transmits the acquired biometric and location information to a remote server. The data is transmitted using a Wi-Fi, Bluetooth, or cellular communication module. As input, the acquired heart rate, body temperature, and location data are passed to the communication module, and as output, these data are transmitted to the remote server.

[0236] Step 4:

[0237] The server receives the data sent from the device. The data is received at the API endpoint of the remote server. As input, biometric and location data from the device is received, and as output, it is stored in internal data storage for use in analysis.

[0238] Step 5:

[0239] The server analyzes the received data in real time. It analyzes the biometric and location information using anomaly detection algorithms and risk prediction models. The received heart rate, body temperature, and location information are provided as input to the algorithm, and the presence or absence of abnormalities and risk assessment results are obtained as output.

[0240] Step 6:

[0241] If the server detects an anomaly, it sends an instruction to the terminal to issue an alert. If the analysis result indicates an anomaly, that information is provided to the communication module as input, and an instruction to issue an alert is sent to the terminal as output.

[0242] Step 7:

[0243] The terminal issues an alert based on instructions from the server. Specifically, an audio alert or notification is conveyed to the user. The terminal receives an alert instruction from the server as input, and displays a warning message to the user as output.

[0244] Step 8:

[0245] The server notifies emergency contacts and administrators when an anomaly occurs. As input, if the analysis results indicate an anomaly, that information is provided to the notification system, and as output, a notification is sent to the emergency contacts and administrators.

[0246] Step 9:

[0247] The server accumulates data for predicting future risks and provides the analysis results to the administrator. As input, collected biometric and location information data is stored in the data storage, and as output, a future risk assessment based on the risk prediction model is provided to the administrator.

[0248] 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.

[0249] The AI ​​monitoring smartwatch system of the present invention collects and analyzes the user's biometric and location information, and issues an alert if it detects an abnormality. It also recognizes the user's emotional state by combining it with an emotion engine and takes appropriate action as necessary. Specific embodiments of the system are described below.

[0250] System configuration

[0251] The system consists of the following main components:

[0252] 1. Device (smartwatch worn by the user)

[0253] 2. Server (a remote server that collects and analyzes data)

[0254] 3. Your emergency contacts and authorities (who will receive notifications)

[0255] Device (smartwatch)

[0256] Measurement of biological information

[0257] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[0258] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0259] Obtaining location information

[0260] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[0261] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[0262] Recognition of emotional states

[0263] 3. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state.

[0264] For example, when a user speaks through their smartwatch, the emotion engine analyzes their tone of voice and what they say to detect stress or excitement.

[0265] Sending alerts

[0266] 4. The device has the ability to emit a voice alert if an abnormality is detected.

[0267] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[0268] Communication Function

[0269] 5. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to the server.

[0270] server

[0271] Receiving and analyzing data

[0272] 1. The server receives biometric information, location information, and emotional state sent from the device and analyzes it in real time.

[0273] The analysis uses outlier detection algorithms, risk prediction models, and sentiment analysis algorithms.

[0274] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[0275] Alert Instructions

[0276] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0277] Notification function

[0278] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[0279] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[0280] Specific examples

[0281] Preventing heatstroke

[0282] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0283] 2. The server receives this information and determines that there is a risk of heatstroke.

[0284] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0285] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0286] Elderly people wandering

[0287] 1. The device collects GPS data and detects unusual movement patterns.

[0288] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0289] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0290] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0291] Emotional state anomaly detection

[0292] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0293] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[0294] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0295] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0296] In this way, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[0297] The processing flow will be explained below.

[0298] Step 1:

[0299] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[0300] The user enters the required information into the smartphone app.

[0301] The app will pair with your smartwatch.

[0302] Step 2:

[0303] The terminal transmits the user information to the server.

[0304] The smartphone app calls an API that sends data to the server via the device.

[0305] Step 3:

[0306] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[0307] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[0308] The server sends the setting information to the terminal.

[0309] Step 4:

[0310] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[0311] Built-in sensors collect data.

[0312] Data is collected at regular intervals and stored in the device's memory.

[0313] Step 5:

[0314] The terminal transmits the collected data to the server.

[0315] The terminal sends the collected data to the server at regular intervals.

[0316] Step 6:

[0317] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[0318] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[0319] Step 7:

[0320] The device will send an alert if an abnormality is detected.

[0321] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[0322] Step 8:

[0323] The terminal uses an emotion engine to analyze the user's emotions.

[0324] The device analyzes the user's voice and facial expressions in real time using an emotion engine.

[0325] If the emotional state exceeds a certain threshold, it will be marked as abnormal.

[0326] Step 9:

[0327] The device transmits the analyzed emotion data to the server.

[0328] The device calls an API that sends emotion engine data to the server.

[0329] Step 10:

[0330] The server performs comprehensive data analysis, including emotional state.

[0331] The server runs an algorithm that integrates and analyzes biometric information, location information, and emotional state.

[0332] Step 11:

[0333] The server detects anomalies based on the emotional state and sends an alert instruction to the terminal.

[0334] The server detects the abnormal emotional state and sends an alert instruction to the terminal if necessary.

[0335] Step 12:

[0336] The device will send out an alert when an abnormality in emotional state is detected.

[0337] The device will warn you with a voice message saying, "Stress is increasing. We recommend taking a break."

[0338] Step 13:

[0339] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location and emotional state.

[0340] Your device will send GPS data and emotional state to your emergency contacts via SMS and app notifications.

[0341] Step 14:

[0342] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[0343] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[0344] Step 15:

[0345] The device continuously transmits the user's current location to the server in real time.

[0346] The device sends GPS data to the server at set intervals.

[0347] Step 16:

[0348] The device records the surroundings using the built-in camera and sends it to the server.

[0349] The device collects images using the camera module and uploads them to the server.

[0350] Example 2

[0351] 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."

[0352] In recent years, there has been a demand for technology that can monitor a user's health and safety in real time and respond quickly when an abnormality occurs. However, conventional technology has only monitored a user's biometric information and location information, and no system has taken into account fluctuations in emotional state or the surrounding environment. Furthermore, mechanisms for providing appropriate instructions to the user even when an abnormality is detected have been insufficient. Therefore, the present invention aims to solve these problems and provide a system that comprehensively monitors a user's health, safety, and emotional state and responds appropriately and quickly when an abnormality is detected.

[0353] 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.

[0354] In this invention, the server includes means for measuring the user's biometric information, means for acquiring the user's location information, means for recognizing the user's emotional state, means for transmitting the acquired biometric information and location information to the server, means for analyzing the acquired biometric information, location information and emotional state, means for issuing an alert if an abnormality is detected based on the analysis, and means for automatically notifying the user's emergency contacts and relevant authorities.

[0355] This allows for comprehensive monitoring of a user's health, safety, and emotional state, and allows for appropriate and prompt alerts and notifications to be sent if any abnormalities are detected.

[0356] The "means for measuring the user's biological information" refers to a device or system for measuring the user's physiological data such as body temperature, heart rate, etc.

[0357] "Means for acquiring user location information" refers to a device or system for identifying the user's current location using a GPS module or other location identification technology.

[0358] The "means for recognizing the user's emotional state" is a device or system that analyzes the user's tone of voice and facial expression to determine the user's emotional state at that time.

[0359] The "means for transmitting acquired biometric information and location information to a server" refers to a device or system that includes communication technologies such as Wi-Fi or Bluetooth that are used to transmit measured data to a server in real time.

[0360] The "means for analyzing acquired biometric information, location information, and emotional state" refers to a device or system that includes an algorithm or program that analyzes the received data and evaluates health status or abnormalities.

[0361] The "means for issuing an alert when an abnormality is detected based on the analysis" refers to a device or system for issuing an audio or visual warning to the user when an abnormality is detected from the analysis results.

[0362] "Means for automatically notifying the user's emergency contacts and appropriate authorities" refers to a device or system that automatically notifies the user's designated contacts and appropriate authorities in the event of an emergency.

[0363] The "means for sending appropriate instructions to the terminal based on the analysis results" refers to a device or system that allows the server to send necessary instructions and information to the user's terminal based on the analysis results.

[0364] "Means for monitoring the user's surrounding environment, detecting abnormal environmental changes, and issuing an alert" refers to a device or system for monitoring the user's surrounding environment and issuing a corresponding warning if an abnormality is detected.

[0365] The AI ​​monitoring smartwatch system of this invention comprehensively monitors the user's health, location, and emotional state, and responds quickly when an abnormality is detected. The system consists of the following main components:

[0366] System configuration

[0367] The system consists of the following main components:

[0368] 1. Device (smartwatch worn by the user)

[0369] 2. Server (a remote server that collects and analyzes data)

[0370] 3. Your emergency contacts and authorities (who will receive notifications)

[0371] Device (smartwatch)

[0372] Measurement of biological information

[0373] The device is equipped with built-in sensors that measure the user's body temperature and heart rate. Specifically, a heart rate sensor and a body temperature sensor are used. This allows the device to constantly monitor the user's body temperature and heart rate, and the measurement data is updated every 15 seconds.

[0374] Obtaining location information

[0375] The device is equipped with a GPS module that acquires the user's current location in real time. Even when the user is moving, the GPS module updates the location information every 10 seconds and sends the acquired data to the server.

[0376] Recognition of emotional states

[0377] The device is equipped with an emotion engine that analyzes the user's tone of voice and facial expressions to recognize their emotional state. For example, when a user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[0378] Sending alerts

[0379] If an abnormality is detected, the device will issue an audio or visual alert. For example, if the user enters a dangerous area, an audio warning will sound saying, "It's dangerous, please leave."

[0380] Communication Function

[0381] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to a server, allowing for real-time data communication.

[0382] server

[0383] Receiving and analyzing data

[0384] The server receives biometric data, location data, and emotional state transmitted from the device and analyzes them in real time using outlier detection algorithms, risk prediction models, and emotion analysis algorithms.

[0385] Alert Instructions

[0386] If the server detects an abnormality based on the analysis results, it will send an alert to the device. For example, if the user's body temperature exceeds 38 degrees, it will determine that there is a risk of heatstroke and send an alert to the device.

[0387] Notification function

[0388] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a risk of sexual assault, the server notifies parents and the appropriate authorities with their location.

[0389] Specific examples

[0390] Preventing heatstroke

[0391] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0392] 2. The server receives this information and determines that there is a risk of heatstroke.

[0393] 3. The device will receive a voice warning saying, "Your temperature is too high. Please drink fluids."

[0394] 4. The device sends an alert to the user, and the server notifies emergency contacts of the situation and, if necessary, medical institutions.

[0395] Elderly people wandering

[0396] 1. The device collects GPS data and detects unusual movement patterns.

[0397] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0398] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0399] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0400] Emotional state anomaly detection

[0401] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0402] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[0403] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0404] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0405] Prompt Sentence Examples

[0406] "Write a program that analyzes the user's biometric information, location information, and emotional state received from the smartwatch, and sends appropriate alerts and notifies emergency contacts if an abnormality is detected."

[0407] As described above, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and issue necessary alerts and notifications.

[0408] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0409] Step 1:

[0410] The user wears the smartwatch

[0411] The user wears the smartwatch on their wrist. This activates the device's sensors and starts data collection. The input is the user's wearing behavior, and the output is the sensor activation status.

[0412] Step 2:

[0413] The device measures biometric information

[0414] The heart rate sensor and body temperature sensor installed on the device acquire the user's biometric information. Specifically, the heart rate sensor measures the user's heart rate at a frequency of 15 times per second, and the body temperature sensor constantly monitors the user's body temperature. The input is the biometric information acquired from the user, and the output is the measurement data.

[0415] Step 3:

[0416] The device acquires location information

[0417] The device's GPS module obtains the user's current location in real time. The GPS module updates the location information every 10 seconds and records the data in its internal memory. The input is the user's location information, and the output is the GPS data.

[0418] Step 4:

[0419] The device recognizes your emotional state

[0420] The device's emotion engine analyzes the user's tone of voice and facial expressions. The microphone picks up the user's voice, and the camera captures a photo of the user's face. The emotion engine analyzes this data to determine the user's emotional state. The input is the user's voice and facial expression data, and the output is emotional state data.

[0421] Step 5:

[0422] The device sends the data to the server

[0423] The communication module installed in the device transmits the acquired biometric information, location information, and emotional state to a server. The data is sent to the server in real time at one-second intervals via Wi-Fi or Bluetooth. The input is the measured and acquired data, and the output is data communication packets sent to the server.

[0424] Step 6:

[0425] The server receives the data

[0426] The server receives biometric information, location information, and emotional state transmitted from the device. The received data is stored in an analytical database. The input is data communication packets from the device, and the output is recorded data in the database.

[0427] Step 7:

[0428] The server analyzes the data

[0429] The server analyzes the incoming data in real time. Anomaly detection algorithms, risk prediction models, and sentiment analysis algorithms are applied. For example, a body temperature above 38°C is considered abnormal. The input is the recorded data, and the output is the analysis results.

[0430] Step 8:

[0431] The server detects an anomaly

[0432] The server detects anomalies based on the analysis results. If an anomaly is detected, instructions are generated according to the nature of the anomaly. The input is the analysis results, and the output is response instructions.

[0433] Step 9:

[0434] The server sends the appropriate instructions to the device.

[0435] The server sends a response instruction to the device. For example, if the body temperature is too high, the server sends the instruction "Your body temperature is too high. Please drink water." The input is the response instruction, and the output is a data communication packet to the device.

[0436] Step 10:

[0437] The device sends an alert

[0438] The device issues audio and visual alerts based on instructions received from the server. For example, it may issue an audio alert saying, "Danger, please move away from here." The input is instruction data from the server, and the output is a warning alert to the user.

[0439] Step 11:

[0440] The server notifies emergency contacts and appropriate authorities

[0441] The server automatically notifies emergency contacts and relevant authorities in the event of an abnormality. For example, if a child enters a dangerous area, a notification is sent along with their location information. The input is the abnormality detection result and user information, and the output is notification data for emergency contacts and relevant authorities.

[0442] Through the above steps, the system can comprehensively monitor the user's health status, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[0443] (Application example 2)

[0444] 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."

[0445] In modern society, there is a need to appropriately monitor individuals' health, location, and emotional state and detect abnormalities in real time. However, current systems have difficulty integrating and analyzing these multiple information sources and taking prompt and appropriate action in emergencies. To ensure user safety, it is also important to reliably issue alerts and send notifications to relevant parties and emergency contacts when an abnormality is detected.

[0446] The identification process by the identification 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 means for measuring the user's biometric information, means for acquiring the user's location information, means for analyzing the acquired biometric information and location information, means for recognizing the user's emotional state, means for issuing an alert when an abnormality is detected based on the analysis and recognition, and means for automatically notifying the user's emergency contact and relevant authorities. This enables integrated monitoring of the user's biometric information, location information, and emotional state in real time, and enables rapid and appropriate response when an abnormality is detected.

[0447] "Biometric information" is data relating to the user's physical condition, such as body temperature, heart rate, and blood pressure.

[0448] "Location Information" means data about a user's current location obtained using GPS or other location-determining technology.

[0449] "Emotional state" is data related to the user's emotions that is obtained by analyzing the user's facial expression, tone of voice, speech content, and the like.

[0450] An "alert" is a notification issued to the user to warn or alert them when an abnormality is detected.

[0451] "Emergency Contact" is contact information for a person or organization that is registered in advance to automatically notify the user when an abnormality is detected.

[0452] "Relevant authorities" are public institutions or organizations that users can call for assistance in an emergency, such as police, fire departments, or medical institutions.

[0453] A "server" is a computer system that receives and analyzes a user's biometric information, location information, and emotional state, and issues alerts and notifications as necessary.

[0454] "Analysis" refers to the process of processing and judging data to evaluate the presence or absence of abnormalities and risks based on the acquired data.

[0455] "Monitoring" is the activity of continuously observing the user's condition and checking for any abnormalities.

[0456] "Notification" means sending a message or alert to inform interested parties about a particular situation.

[0457] To implement the present invention, the following major components are required:

[0458] 1. Device (smartwatch)

[0459] Biometric data measurement: The device has built-in sensors that measure the user's body temperature and heart rate. When the user wears the smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0460] Location information acquisition: The device is equipped with a GPS module that acquires the user's current location in real time. The GPS module updates the location information every 10 seconds and sends it to the server.

[0461] Emotional state recognition: The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state. When the user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[0462] Alert generation: The device has the ability to generate audio alerts if an abnormality is detected. If the user enters a dangerous area, the device will warn the user by voice, saying, "It's dangerous, please leave this area."

[0463] Communication function: The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric information, location information, and emotional state to a server.

[0464] 2. Server

[0465] Data reception and analysis: The server receives biometric information, location information, and emotional state data sent from the device and analyzes it in real time. The analysis uses anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. For example, if a user's body temperature exceeds 38 degrees, the server determines that the user is at risk of heatstroke and sends an alert.

[0466] Alert instruction: Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0467] Notification function: The server automatically notifies the user's emergency contacts and the appropriate authorities in case of an emergency. For example, if a child enters an area where there is a risk of sexual assault, a notification will be sent to parents and the appropriate authorities along with their location.

[0468] Specific use cases include the following scenarios:

[0469] Preventing heatstroke:

[0470] The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0471] The server receives this information and determines that there is a risk of heatstroke.

[0472] An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink plenty of fluids."

[0473] The server notifies emergency contacts of the situation and, if necessary, medical institutions.

[0474] Elderly Wandering:

[0475] The device collects GPS data and detects unusual movement patterns.

[0476] The server analyzes this information and determines whether there is a high probability of wandering.

[0477] The server automatically calls emergency contacts and authorities and shares the user's current location.

[0478] The device records the surroundings using the built-in camera and sends it to the server.

[0479] Emotional State Anomaly Detection:

[0480] The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0481] A server receives the emotion engine data and determines abnormal emotional states.

[0482] The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0483] The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0484] The recommended hardware and software for implementing this invention include a GPS module, a heart rate sensor, a body temperature sensor, an emotion recognition engine, and a communication module (Wi-Fi, Bluetooth, cellular communication). The analysis algorithm and notification system are implemented on the server side. Specific software includes a Python program, a Python package for the GPS module, and a requests library for sending HTTP requests.

[0485] Example prompt for a generative AI model:

[0486] "I would like to develop a security guardian app. The application will monitor the user's heart rate, body temperature, location, and emotional state, and if an abnormality is detected, it will send out an alert and notify registered contacts and the appropriate authorities. What are the specific features of this application and the technologies it will use?"

[0487] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0488] Step 1:

[0489] The device measures the user's biometric information. Specifically, the device's built-in sensors constantly monitor the user's body temperature and heart rate, obtaining the latest data every 15 seconds. The input is the user's body temperature and heart rate, and the output is the latest biometric data.

[0490] Step 2:

[0491] The device obtains the user's location information. The built-in GPS module checks the current location every 10 seconds and sends the new location information to the server. It requires GPS data as input and the current location as output.

[0492] Step 3:

[0493] The device recognizes the user's emotional state. The emotion engine installed in the device analyzes the user's tone of voice and facial expressions to determine their emotional state. Voice data spoken by the user is input, and emotional state data is obtained as output.

[0494] Step 4:

[0495] The device uses a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the biometric information, location information, and emotional state acquired by the device to the server. The inputs are biometric information, location information, and emotional state data, and the output is a successful transmission to the server.

[0496] Step 5:

[0497] The server receives biometric information, location information, and emotional state sent from the device. The input is various data sent from the device, and the output is the received data ready for analysis.

[0498] Step 6:

[0499] The server analyzes the received data in real time using anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. The inputs are the received biometric data, location data, and emotional state, and the output is the anomaly detection results.

[0500] Step 7:

[0501] If the server detects an abnormality, it sends an instruction to send an alert to the terminal. The input is the analysis result, and the output is an instruction to send an alert to the terminal.

[0502] Step 8:

[0503] If the server determines that the anomaly is serious, it automatically notifies the user's emergency contacts and the appropriate authorities. The inputs are the anomaly detection results and the user's contact information, and the output is the completion of sending the notification message.

[0504] Step 9:

[0505] When the terminal receives an instruction to send an alert from the server, it sends an audio alert. The input is an instruction from the server, and the output is the sending of an audio alert.

[0506] 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.

[0507] 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.

[0508] 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.

[0509] [Second embodiment]

[0510] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0511] 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.

[0512] 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).

[0513] 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.

[0514] 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.

[0515] 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).

[0516] 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.

[0517] 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.

[0518] 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.

[0519] 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.

[0520] 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.

[0521] 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."

[0522] The AI ​​smartwatch of the present invention provides a system that collects a user's biometric information and location information, analyzes that data to detect abnormalities, and issues alerts as necessary. Specific embodiments of the system are described below.

[0523] System configuration

[0524] The system consists of the following main components:

[0525] 1. Device (smartwatch worn by the user)

[0526] 2. Server (a remote server that collects and analyzes data)

[0527] 3. Your emergency contacts and authorities (who will receive notifications)

[0528] Device (smartwatch)

[0529] Measurement of biological information

[0530] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[0531] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0532] Obtaining location information

[0533] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[0534] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[0535] Sending alerts

[0536] 3. The device has the ability to emit a voice alert if an abnormality is detected.

[0537] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[0538] Communication Function

[0539] 4. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server.

[0540] server

[0541] Receiving and analyzing data

[0542] 1. The server receives biometric and location information sent from the device and analyzes it in real time.

[0543] The analysis uses outlier detection algorithms and predictive models.

[0544] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[0545] Alert Instructions

[0546] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0547] Notification function

[0548] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[0549] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[0550] Specific examples

[0551] Preventing heatstroke

[0552] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0553] 2. The server receives this information and determines that there is a risk of heatstroke.

[0554] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0555] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0556] Elderly people wandering

[0557] 1. The device collects GPS data and detects unusual movement patterns.

[0558] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0559] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0560] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0561] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and provide necessary alerts and notifications.

[0562] The processing flow will be explained below.

[0563] Step 1:

[0564] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[0565] The user enters the required information into the smartphone app.

[0566] The app will pair with your smartwatch.

[0567] Step 2:

[0568] The terminal transmits the user information to the server.

[0569] The smartphone app calls an API that sends data to the server via the device.

[0570] Step 3:

[0571] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[0572] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[0573] The server sends the setting information to the terminal.

[0574] Step 4:

[0575] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[0576] Built-in sensors collect data.

[0577] Data is collected at regular intervals and stored in the device's memory.

[0578] Step 5:

[0579] The terminal transmits the collected data to the server.

[0580] The terminal sends the collected data to the server at regular intervals.

[0581] Step 6:

[0582] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[0583] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[0584] Step 7:

[0585] The device will send an alert if an abnormality is detected.

[0586] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[0587] Step 8:

[0588] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location.

[0589] Your device will send GPS data to your emergency contacts via SMS or app notification.

[0590] Step 9:

[0591] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[0592] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[0593] Step 10:

[0594] The device continuously transmits the user's current location to the server in real time.

[0595] The device sends GPS data to the server at set intervals.

[0596] Step 11:

[0597] The device records the surroundings using the built-in camera and sends it to the server.

[0598] The device collects images using the camera module and uploads them to the server.

[0599] Example 1

[0600] 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."

[0601] Conventional systems that collect and monitor biometric and location information face the challenge of detecting abnormalities in real time and taking prompt and appropriate action. Furthermore, to fully ensure the health and safety of users, it is necessary to predict a variety of abnormal patterns and issue appropriate alerts. Notifications in emergencies must also be sent quickly and reliably. Furthermore, there is a need for systems that can monitor changes in the surrounding environment and issue warnings based on those changes.

[0602] 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.

[0603] In this invention, the server includes a means for analyzing the acquired biometric information and location information, a means including a prediction model for detecting abnormal values ​​in real time, and a means for sending an alert instruction to the terminal, thereby enabling constant monitoring of the user's health condition and location information, rapid detection of abnormalities, and necessary alerts and notifications.

[0604] The "means for measuring biological information" is a device including a sensor for acquiring data related to the user's biological body, such as body temperature and heart rate.

[0605] A "means for acquiring location information" is a device that uses a GPS module or other location tracking technology to measure the user's current location.

[0606] The "analyzing means" is a device that includes algorithms and software for analyzing the acquired biometric information and location information.

[0607] A "predictive model" is a machine learning model that predicts future abnormal values ​​and risks based on past data and statistical analysis.

[0608] An "alert means" is a device that includes a voice message, vibration, or other notification method to notify the user of an abnormality.

[0609] The "means for sending an instruction to issue an alert to the terminal" is a communication means by which the server sends an instruction to issue an alert to the terminal based on the analysis result.

[0610] "Means for automatically notifying emergency contacts and appropriate authorities" refers to a system for automatically notifying a user's emergency contacts and appropriate authorities in the event of an emergency.

[0611] A "server" is a remote computing device that receives data, analyzes it, detects anomalies, and notifies you.

[0612] A "terminal" is a device such as a smartwatch worn by a user that measures biometric and location information and communicates with a server.

[0613] The present invention is a system that collects biometric information and location information of a user, analyzes the information to detect abnormalities, and issues an alert as necessary. Specific embodiments of the system will be described below.

[0614] System configuration

[0615] The system consists of the following main components:

[0616] 1. Device (smartwatch worn by the user)

[0617] 2. Server (a remote server that collects and analyzes data)

[0618] 3. Your emergency contacts and authorities (who will receive notifications)

[0619] Device (smartwatch)

[0620] Measurement of biological information

[0621] The device has built-in sensors to measure the user's body temperature and heart rate. For example, when a user wears a smartwatch, the heart rate sensor constantly measures the user's heart rate and updates the data every 15 seconds.

[0622] Obtaining location information

[0623] The device is equipped with a GPS module that can obtain the user's current location in real time. For example, while the user is moving, the GPS module updates the location information every 10 seconds and prepares to send it to the server.

[0624] Sending alerts

[0625] The device has a function to issue a voice alert if an abnormality is detected. For example, if the user enters a dangerous area, a voice will warn the user, saying, "It's dangerous. Please get away from here."

[0626] Communication Function

[0627] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server. The appropriate communication method is selected to transmit the data efficiently.

[0628] server

[0629] Receiving and analyzing data

[0630] The server receives biometric and location information from the device and analyzes it in real time. It uses algorithms and predictive models to detect abnormal values. For example, if a user's body temperature exceeds 38 degrees, it determines that there is a risk of heatstroke and generates instructions to send an alert.

[0631] Alert Instructions

[0632] If the server detects an abnormality based on the analysis results, it sends an instruction to the device to issue an alert, allowing the device to immediately warn the user of the abnormal situation.

[0633] Notification function

[0634] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a possibility of sexual assault, parents and the appropriate authorities will be notified with their location.

[0635] Specific examples

[0636] Preventing heatstroke

[0637] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0638] 2. The server receives this information and determines that there is a risk of heatstroke.

[0639] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0640] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0641] Elderly people wandering

[0642] 1. The device collects GPS data and detects unusual movement patterns.

[0643] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0644] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0645] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0646] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and effectively provide necessary alerts and notifications.

[0647] An example of a prompt for the generative AI model is, "Generate an appropriate alert message if the user's body temperature exceeds 37.5 degrees."

[0648] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0649] Step 1:

[0650] The device collects the user's biometric information. When the user wears the smartwatch, the heart rate sensor and body temperature sensor are activated and collect data continuously. Specifically, the heart rate sensor obtains new heart rate data every 15 seconds, and the body temperature sensor measures body temperature in real time. This biometric information (heart rate, body temperature) becomes the input data.

[0651] Step 2:

[0652] The device acquires location information. The built-in GPS module acquires the user's current location every 10 seconds and saves it as data. Specifically, latitude and longitude information is recorded as input data.

[0653] Step 3:

[0654] The device transmits the collected biometric and location information to a server. Using a communication module (Wi-Fi, Bluetooth, or cellular communication), the device periodically transmits the collected data to the server. Specifically, a compressed packet is generated for each data point and sent to the server via the network.

[0655] Step 4:

[0656] The server receives the biometric and location information sent from the device. The received data is input into an analysis algorithm. Specifically, the data is received via HTTP requests or WebSockets and stored in a database for analysis.

[0657] Step 5:

[0658] The server analyzes the received data in real time, using anomaly detection algorithms and predictive models. For example, if a user's body temperature data is input and the value exceeds 38 degrees, it is determined to be abnormal. The analysis results are output data.

[0659] Step 6:

[0660] If the server detects an abnormality based on the analysis results, it sends an instruction to issue an alert to the terminal. Specifically, output data for the abnormality determination is generated, and an alert message (e.g., "Your body temperature is too high. Please drink plenty of fluids") is constructed based on that data.

[0661] Step 7:

[0662] The device receives instructions from the server and issues an alert to the user, specifically by playing a voice message or vibrating the device.

[0663] Step 8:

[0664] If an abnormality is detected, the server automatically notifies the user's emergency contacts and the relevant authorities by generating and sending an email or SMS containing the user's current location and a description of the abnormality.

[0665] This allows the system to monitor the user's biometric and location information in real time, quickly detect abnormalities, and provide appropriate alerts and notifications.

[0666] (Application example 1)

[0667] 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."

[0668] In conventional logistics centers, there are insufficient means for constantly monitoring the health status of staff, resulting in the risk of heatstroke and abnormal movement. Furthermore, there is a lack of a system that can quickly detect these abnormalities, issue an alert, and notify the manager, resulting in safety management issues. The present invention aims to solve these issues and provide a system that ensures the safety of staff.

[0669] 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.

[0670] In this invention, the server includes means for analyzing the user's biometric information, means for analyzing location information, and means for issuing an alert when an abnormality is detected. This makes it possible to monitor the health status and location information of staff in real time, and to immediately issue an alert and notify the administrator when an abnormality is detected.

[0671] A "user" is a person who wears and uses the system.

[0672] "Biometric information" refers to data relating to the user's physical condition, specifically body temperature, heart rate, and the like.

[0673] "Location information" is data relating to the user's current geographical location obtained using a GPS or the like.

[0674] "Analysis" refers to data processing and analysis procedures for detecting abnormalities based on collected biometric and location information.

[0675] "Abnormal" refers to an abnormal state such as a value outside the normal range of biological information or movement that differs from a normal movement pattern.

[0676] An "alert" is a warning or caution notice sent to users and administrators when an abnormality is detected.

[0677] An "emergency contact" is a person or organization authorized to receive emergency notifications in the event that the user experiences an abnormality.

[0678] "Relevant Authority" means any public body, service provider or other organisation responsible for protecting and managing the safety and health of users.

[0679] "Prediction" is the act of detecting and estimating future risks and abnormalities based on collected biometric and location information.

[0680] "Administrator" means the person or entity responsible for monitoring and operating the system at a distribution center or other facility.

[0681] A "remote server" is a remote computer system that receives and analyzes data sent from a smartwatch.

[0682] System Overview

[0683] This system monitors the biometric information and location information of users working in the logistics center in real time, and has the ability to detect abnormalities and send alerts. The system consists of a smartwatch (terminal), a remote server, and an administrator.

[0684] Device (smartwatch)

[0685] Measurement of biological information

[0686] The device has built-in sensors that measure the user's body temperature and heart rate. For example, the heart rate sensor measures the user's heart rate continuously and updates the data every 15 seconds.

[0687] Obtaining location information

[0688] The device is equipped with a GPS module that acquires the user's current location in real time. For example, the device updates the user's location every 10 seconds while the user is moving and sends it to the server.

[0689] Sending alerts

[0690] The device has the ability to issue a voice alert if an abnormality is detected. For example, if there is a high risk of heatstroke, it will warn the user by saying, "Your body temperature is too high. Please drink plenty of fluids."

[0691] Communication Function

[0692] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric and location information to a remote server.

[0693] Remote Server

[0694] Receiving and analyzing data

[0695] The remote server receives the biometric and location information sent from the device and analyzes it in real time using anomaly detection algorithms and predictive models. For example, if a person's body temperature exceeds 38 degrees, it may determine that they are at risk of heatstroke.

[0696] Alert Instructions

[0697] If an abnormality is detected based on the analysis results, the remote server sends an instruction to the terminal to issue an alert.

[0698] Notification function

[0699] The remote server automatically notifies emergency contacts and administrators when an abnormality occurs. For example, if an abnormal movement pattern is detected, an alert will be sent to the administrator.

[0700] Hardware and software used

[0701] Hardware

[0702] Smartwatch: Heart rate sensor, body temperature sensor, GPS module

[0703] remote server: computer system for data analysis

[0704] software

[0705] Data Analysis Algorithms: Software for Outlier Detection and Risk Prediction

[0706] Communication modules: Wi-Fi, Bluetooth, cellular communication

[0707] Specific examples

[0708] For example, if a user (staff member) in a logistics center has a body temperature above 38 degrees, the device will detect the abnormality based on data obtained from the heart rate sensor and immediately send out an audio alert. At the same time, the remote server will notify the administrator, enabling a prompt response.

[0709] Prompt Sentence Examples

[0710] An example of a prompt to input to a generative AI model is:

[0711] Generate a Python program that meets the following requirements:

[0712] Biometric information (heart rate, body temperature) and GPS information are obtained from the smartwatch.

[0713] The acquired data is sent to the server.

[0714] Receives a response from the server and displays an alert if an abnormality is detected.

[0715] The above is a detailed description of the mode for carrying out the invention.

[0716] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0717] Step 1:

[0718] The device measures the user's biometric information. Specifically, the smartwatch has a built-in heart rate sensor that measures the user's heart rate, and a body temperature sensor that measures the user's body temperature. The sensors acquire the user's heart rate and body temperature as input, and the measured heart rate and body temperature data are obtained as output.

[0719] Step 2:

[0720] The terminal acquires location information. The GPS module acquires the user's current location in real time. The GPS module acquires the user's current location as input, and the user's location information data is obtained as output.

[0721] Step 3:

[0722] The device transmits the acquired biometric and location information to a remote server. The data is transmitted using a Wi-Fi, Bluetooth, or cellular communication module. As input, the acquired heart rate, body temperature, and location data are passed to the communication module, and as output, these data are transmitted to the remote server.

[0723] Step 4:

[0724] The server receives the data sent from the device. The data is received at the API endpoint of the remote server. As input, biometric and location data from the device is received, and as output, it is stored in internal data storage for use in analysis.

[0725] Step 5:

[0726] The server analyzes the received data in real time. It analyzes the biometric and location information using anomaly detection algorithms and risk prediction models. The received heart rate, body temperature, and location information are provided as input to the algorithm, and the presence or absence of abnormalities and risk assessment results are obtained as output.

[0727] Step 6:

[0728] If the server detects an anomaly, it sends an instruction to the terminal to issue an alert. If the analysis result indicates an anomaly, that information is provided to the communication module as input, and an instruction to issue an alert is sent to the terminal as output.

[0729] Step 7:

[0730] The terminal issues an alert based on instructions from the server. Specifically, an audio alert or notification is conveyed to the user. The terminal receives an alert instruction from the server as input, and displays a warning message to the user as output.

[0731] Step 8:

[0732] The server notifies emergency contacts and administrators when an anomaly occurs. As input, if the analysis results indicate an anomaly, that information is provided to the notification system, and as output, a notification is sent to the emergency contacts and administrators.

[0733] Step 9:

[0734] The server accumulates data for predicting future risks and provides the analysis results to the administrator. As input, collected biometric and location information data is stored in the data storage, and as output, a future risk assessment based on the risk prediction model is provided to the administrator.

[0735] 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.

[0736] The AI ​​monitoring smartwatch system of the present invention collects and analyzes the user's biometric and location information, and issues an alert if it detects an abnormality. It also recognizes the user's emotional state by combining it with an emotion engine and takes appropriate action as necessary. Specific embodiments of the system are described below.

[0737] System configuration

[0738] The system consists of the following main components:

[0739] 1. Device (smartwatch worn by the user)

[0740] 2. Server (a remote server that collects and analyzes data)

[0741] 3. Your emergency contacts and authorities (who will receive notifications)

[0742] Device (smartwatch)

[0743] Measurement of biological information

[0744] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[0745] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0746] Obtaining location information

[0747] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[0748] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[0749] Recognition of emotional states

[0750] 3. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state.

[0751] For example, when a user speaks through their smartwatch, the emotion engine analyzes their tone of voice and what they say to detect stress or excitement.

[0752] Sending alerts

[0753] 4. The device has the ability to emit a voice alert if an abnormality is detected.

[0754] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[0755] Communication Function

[0756] 5. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to the server.

[0757] server

[0758] Receiving and analyzing data

[0759] 1. The server receives biometric information, location information, and emotional state sent from the device and analyzes it in real time.

[0760] The analysis uses outlier detection algorithms, risk prediction models, and sentiment analysis algorithms.

[0761] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[0762] Alert Instructions

[0763] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0764] Notification function

[0765] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[0766] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[0767] Specific examples

[0768] Preventing heatstroke

[0769] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0770] 2. The server receives this information and determines that there is a risk of heatstroke.

[0771] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[0772] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[0773] Elderly people wandering

[0774] 1. The device collects GPS data and detects unusual movement patterns.

[0775] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0776] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0777] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0778] Emotional state anomaly detection

[0779] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0780] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[0781] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0782] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0783] In this way, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[0784] The processing flow will be explained below.

[0785] Step 1:

[0786] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[0787] The user enters the required information into the smartphone app.

[0788] The app will pair with your smartwatch.

[0789] Step 2:

[0790] The terminal transmits the user information to the server.

[0791] The smartphone app calls an API that sends data to the server via the device.

[0792] Step 3:

[0793] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[0794] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[0795] The server sends the setting information to the terminal.

[0796] Step 4:

[0797] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[0798] Built-in sensors collect data.

[0799] Data is collected at regular intervals and stored in the device's memory.

[0800] Step 5:

[0801] The terminal transmits the collected data to the server.

[0802] The terminal sends the collected data to the server at regular intervals.

[0803] Step 6:

[0804] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[0805] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[0806] Step 7:

[0807] The device will send an alert if an abnormality is detected.

[0808] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[0809] Step 8:

[0810] The terminal uses an emotion engine to analyze the user's emotions.

[0811] The device analyzes the user's voice and facial expressions in real time using an emotion engine.

[0812] If the emotional state exceeds a certain threshold, it will be marked as abnormal.

[0813] Step 9:

[0814] The device transmits the analyzed emotion data to the server.

[0815] The device calls an API that sends emotion engine data to the server.

[0816] Step 10:

[0817] The server performs comprehensive data analysis, including emotional state.

[0818] The server runs an algorithm that integrates and analyzes biometric information, location information, and emotional state.

[0819] Step 11:

[0820] The server detects anomalies based on the emotional state and sends an alert instruction to the terminal.

[0821] The server detects the abnormal emotional state and sends an alert instruction to the terminal if necessary.

[0822] Step 12:

[0823] The device will send out an alert when an abnormality in emotional state is detected.

[0824] The device will warn you with a voice message saying, "Stress is increasing. We recommend taking a break."

[0825] Step 13:

[0826] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location and emotional state.

[0827] Your device will send GPS data and emotional state to your emergency contacts via SMS and app notifications.

[0828] Step 14:

[0829] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[0830] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[0831] Step 15:

[0832] The device continuously transmits the user's current location to the server in real time.

[0833] The device sends GPS data to the server at set intervals.

[0834] Step 16:

[0835] The device records the surroundings using the built-in camera and sends it to the server.

[0836] The device collects images using the camera module and uploads them to the server.

[0837] Example 2

[0838] 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."

[0839] In recent years, there has been a demand for technology that can monitor a user's health and safety in real time and respond quickly when an abnormality occurs. However, conventional technology has only monitored a user's biometric information and location information, and no system has taken into account fluctuations in emotional state or the surrounding environment. Furthermore, mechanisms for providing appropriate instructions to the user even when an abnormality is detected have been insufficient. Therefore, the present invention aims to solve these problems and provide a system that comprehensively monitors a user's health, safety, and emotional state and responds appropriately and quickly when an abnormality is detected.

[0840] 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.

[0841] In this invention, the server includes means for measuring the user's biometric information, means for acquiring the user's location information, means for recognizing the user's emotional state, means for transmitting the acquired biometric information and location information to the server, means for analyzing the acquired biometric information, location information and emotional state, means for issuing an alert if an abnormality is detected based on the analysis, and means for automatically notifying the user's emergency contacts and relevant authorities.

[0842] This allows for comprehensive monitoring of a user's health, safety, and emotional state, and allows for appropriate and prompt alerts and notifications to be sent if any abnormalities are detected.

[0843] The "means for measuring the user's biological information" refers to a device or system for measuring the user's physiological data such as body temperature, heart rate, etc.

[0844] "Means for acquiring user location information" refers to a device or system for identifying the user's current location using a GPS module or other location identification technology.

[0845] The "means for recognizing the user's emotional state" is a device or system that analyzes the user's tone of voice and facial expression to determine the user's emotional state at that time.

[0846] The "means for transmitting acquired biometric information and location information to a server" refers to a device or system that includes communication technologies such as Wi-Fi or Bluetooth that are used to transmit measured data to a server in real time.

[0847] The "means for analyzing acquired biometric information, location information, and emotional state" refers to a device or system that includes an algorithm or program that analyzes the received data and evaluates health status or abnormalities.

[0848] The "means for issuing an alert when an abnormality is detected based on the analysis" refers to a device or system for issuing an audio or visual warning to the user when an abnormality is detected from the analysis results.

[0849] "Means for automatically notifying the user's emergency contacts and appropriate authorities" refers to a device or system that automatically notifies the user's designated contacts and appropriate authorities in the event of an emergency.

[0850] The "means for sending appropriate instructions to the terminal based on the analysis results" refers to a device or system that allows the server to send necessary instructions and information to the user's terminal based on the analysis results.

[0851] "Means for monitoring the user's surrounding environment, detecting abnormal environmental changes, and issuing an alert" refers to a device or system for monitoring the user's surrounding environment and issuing a corresponding warning if an abnormality is detected.

[0852] The AI ​​monitoring smartwatch system of this invention comprehensively monitors the user's health, location, and emotional state, and responds quickly when an abnormality is detected. The system consists of the following main components:

[0853] System configuration

[0854] The system consists of the following main components:

[0855] 1. Device (smartwatch worn by the user)

[0856] 2. Server (a remote server that collects and analyzes data)

[0857] 3. Your emergency contacts and authorities (who will receive notifications)

[0858] Device (smartwatch)

[0859] Measurement of biological information

[0860] The device is equipped with built-in sensors that measure the user's body temperature and heart rate. Specifically, a heart rate sensor and a body temperature sensor are used. This allows the device to constantly monitor the user's body temperature and heart rate, and the measurement data is updated every 15 seconds.

[0861] Obtaining location information

[0862] The device is equipped with a GPS module that acquires the user's current location in real time. Even when the user is moving, the GPS module updates the location information every 10 seconds and sends the acquired data to the server.

[0863] Recognition of emotional states

[0864] The device is equipped with an emotion engine that analyzes the user's tone of voice and facial expressions to recognize their emotional state. For example, when a user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[0865] Sending alerts

[0866] If an abnormality is detected, the device will issue an audio or visual alert. For example, if the user enters a dangerous area, an audio warning will sound saying, "It's dangerous, please leave."

[0867] Communication Function

[0868] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to a server, allowing for real-time data communication.

[0869] server

[0870] Receiving and analyzing data

[0871] The server receives biometric data, location data, and emotional state transmitted from the device and analyzes them in real time using outlier detection algorithms, risk prediction models, and emotion analysis algorithms.

[0872] Alert Instructions

[0873] If the server detects an abnormality based on the analysis results, it will send an alert to the device. For example, if the user's body temperature exceeds 38 degrees, it will determine that there is a risk of heatstroke and send an alert to the device.

[0874] Notification function

[0875] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a risk of sexual assault, the server notifies parents and the appropriate authorities with their location.

[0876] Specific examples

[0877] Preventing heatstroke

[0878] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0879] 2. The server receives this information and determines that there is a risk of heatstroke.

[0880] 3. The device will receive a voice warning saying, "Your temperature is too high. Please drink fluids."

[0881] 4. The device sends an alert to the user, and the server notifies emergency contacts of the situation and, if necessary, medical institutions.

[0882] Elderly people wandering

[0883] 1. The device collects GPS data and detects unusual movement patterns.

[0884] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[0885] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[0886] 4. The device records the surroundings using the built-in camera and sends it to the server.

[0887] Emotional state anomaly detection

[0888] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0889] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[0890] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0891] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0892] Prompt Sentence Examples

[0893] "Write a program that analyzes the user's biometric information, location information, and emotional state received from the smartwatch, and sends appropriate alerts and notifies emergency contacts if an abnormality is detected."

[0894] As described above, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and issue necessary alerts and notifications.

[0895] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0896] Step 1:

[0897] The user wears the smartwatch

[0898] The user wears the smartwatch on their wrist. This activates the device's sensors and starts data collection. The input is the user's wearing behavior, and the output is the sensor activation status.

[0899] Step 2:

[0900] The device measures biometric information

[0901] The heart rate sensor and body temperature sensor installed on the device acquire the user's biometric information. Specifically, the heart rate sensor measures the user's heart rate at a frequency of 15 times per second, and the body temperature sensor constantly monitors the user's body temperature. The input is the biometric information acquired from the user, and the output is the measurement data.

[0902] Step 3:

[0903] The device acquires location information

[0904] The device's GPS module obtains the user's current location in real time. The GPS module updates the location information every 10 seconds and records the data in its internal memory. The input is the user's location information, and the output is the GPS data.

[0905] Step 4:

[0906] The device recognizes your emotional state

[0907] The device's emotion engine analyzes the user's tone of voice and facial expressions. The microphone picks up the user's voice, and the camera captures a photo of the user's face. The emotion engine analyzes this data to determine the user's emotional state. The input is the user's voice and facial expression data, and the output is emotional state data.

[0908] Step 5:

[0909] The device sends the data to the server

[0910] The communication module installed in the device transmits the acquired biometric information, location information, and emotional state to a server. The data is sent to the server in real time at one-second intervals via Wi-Fi or Bluetooth. The input is the measured and acquired data, and the output is data communication packets sent to the server.

[0911] Step 6:

[0912] The server receives the data

[0913] The server receives biometric information, location information, and emotional state transmitted from the device. The received data is stored in an analytical database. The input is data communication packets from the device, and the output is recorded data in the database.

[0914] Step 7:

[0915] The server analyzes the data

[0916] The server analyzes the incoming data in real time. Anomaly detection algorithms, risk prediction models, and sentiment analysis algorithms are applied. For example, a body temperature above 38°C is considered abnormal. The input is the recorded data, and the output is the analysis results.

[0917] Step 8:

[0918] The server detects an anomaly

[0919] The server detects anomalies based on the analysis results. If an anomaly is detected, instructions are generated according to the nature of the anomaly. The input is the analysis results, and the output is response instructions.

[0920] Step 9:

[0921] The server sends the appropriate instructions to the device.

[0922] The server sends a response instruction to the device. For example, if the body temperature is too high, the server sends the instruction "Your body temperature is too high. Please drink water." The input is the response instruction, and the output is a data communication packet to the device.

[0923] Step 10:

[0924] The device sends an alert

[0925] The device issues audio and visual alerts based on instructions received from the server. For example, it may issue an audio alert saying, "Danger, please move away from here." The input is instruction data from the server, and the output is a warning alert to the user.

[0926] Step 11:

[0927] The server notifies emergency contacts and appropriate authorities

[0928] The server automatically notifies emergency contacts and relevant authorities in the event of an abnormality. For example, if a child enters a dangerous area, a notification is sent along with their location information. The input is the abnormality detection result and user information, and the output is notification data for emergency contacts and relevant authorities.

[0929] Through the above steps, the system can comprehensively monitor the user's health status, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[0930] (Application example 2)

[0931] 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."

[0932] In modern society, there is a need to appropriately monitor individuals' health, location, and emotional state and detect abnormalities in real time. However, current systems have difficulty integrating and analyzing these multiple information sources and taking prompt and appropriate action in emergencies. To ensure user safety, it is also important to reliably issue alerts and send notifications to relevant parties and emergency contacts when an abnormality is detected.

[0933] The identification process by the identification 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 means for measuring the user's biometric information, means for acquiring the user's location information, means for analyzing the acquired biometric information and location information, means for recognizing the user's emotional state, means for issuing an alert when an abnormality is detected based on the analysis and recognition, and means for automatically notifying the user's emergency contact and relevant authorities. This enables integrated monitoring of the user's biometric information, location information, and emotional state in real time, and enables rapid and appropriate response when an abnormality is detected.

[0934] "Biometric information" is data relating to the user's physical condition, such as body temperature, heart rate, and blood pressure.

[0935] "Location Information" means data about a user's current location obtained using GPS or other location-determining technology.

[0936] "Emotional state" is data related to the user's emotions that is obtained by analyzing the user's facial expression, tone of voice, speech content, and the like.

[0937] An "alert" is a notification issued to the user to warn or alert them when an abnormality is detected.

[0938] "Emergency Contact" is contact information for a person or organization that is registered in advance to automatically notify the user when an abnormality is detected.

[0939] "Relevant authorities" are public institutions or organizations that users can call for assistance in an emergency, such as police, fire departments, or medical institutions.

[0940] A "server" is a computer system that receives and analyzes a user's biometric information, location information, and emotional state, and issues alerts and notifications as necessary.

[0941] "Analysis" refers to the process of processing and judging data to evaluate the presence or absence of abnormalities and risks based on the acquired data.

[0942] "Monitoring" is the activity of continuously observing the user's condition and checking for any abnormalities.

[0943] "Notification" means sending a message or alert to inform interested parties about a particular situation.

[0944] To implement the present invention, the following major components are required:

[0945] 1. Device (smartwatch)

[0946] Biometric data measurement: The device has built-in sensors that measure the user's body temperature and heart rate. When the user wears the smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[0947] Location information acquisition: The device is equipped with a GPS module that acquires the user's current location in real time. The GPS module updates the location information every 10 seconds and sends it to the server.

[0948] Emotional state recognition: The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state. When the user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[0949] Alert generation: The device has the ability to generate audio alerts if an abnormality is detected. If the user enters a dangerous area, the device will warn the user by voice, saying, "It's dangerous, please leave this area."

[0950] Communication function: The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric information, location information, and emotional state to a server.

[0951] 2. Server

[0952] Data reception and analysis: The server receives biometric information, location information, and emotional state data sent from the device and analyzes it in real time. The analysis uses anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. For example, if a user's body temperature exceeds 38 degrees, the server determines that the user is at risk of heatstroke and sends an alert.

[0953] Alert instruction: Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[0954] Notification function: The server automatically notifies the user's emergency contacts and the appropriate authorities in case of an emergency. For example, if a child enters an area where there is a risk of sexual assault, a notification will be sent to parents and the appropriate authorities along with their location.

[0955] Specific use cases include the following scenarios:

[0956] Preventing heatstroke:

[0957] The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[0958] The server receives this information and determines that there is a risk of heatstroke.

[0959] An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink plenty of fluids."

[0960] The server notifies emergency contacts of the situation and, if necessary, medical institutions.

[0961] Elderly Wandering:

[0962] The device collects GPS data and detects unusual movement patterns.

[0963] The server analyzes this information and determines whether there is a high probability of wandering.

[0964] The server automatically calls emergency contacts and authorities and shares the user's current location.

[0965] The device records the surroundings using the built-in camera and sends it to the server.

[0966] Emotional State Anomaly Detection:

[0967] The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[0968] A server receives the emotion engine data and determines abnormal emotional states.

[0969] The server automatically calls emergency contacts and shares the user's current location and emotional state.

[0970] The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[0971] The recommended hardware and software for implementing this invention include a GPS module, a heart rate sensor, a body temperature sensor, an emotion recognition engine, and a communication module (Wi-Fi, Bluetooth, cellular communication). The analysis algorithm and notification system are implemented on the server side. Specific software includes a Python program, a Python package for the GPS module, and a requests library for sending HTTP requests.

[0972] Example prompt for a generative AI model:

[0973] "I would like to develop a security guardian app. The application will monitor the user's heart rate, body temperature, location, and emotional state, and if an abnormality is detected, it will send out an alert and notify registered contacts and the appropriate authorities. What are the specific features of this application and the technologies it will use?"

[0974] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0975] Step 1:

[0976] The device measures the user's biometric information. Specifically, the device's built-in sensors constantly monitor the user's body temperature and heart rate, obtaining the latest data every 15 seconds. The input is the user's body temperature and heart rate, and the output is the latest biometric data.

[0977] Step 2:

[0978] The device obtains the user's location information. The built-in GPS module checks the current location every 10 seconds and sends the new location information to the server. It requires GPS data as input and the current location as output.

[0979] Step 3:

[0980] The device recognizes the user's emotional state. The emotion engine installed in the device analyzes the user's tone of voice and facial expressions to determine their emotional state. Voice data spoken by the user is input, and emotional state data is obtained as output.

[0981] Step 4:

[0982] The device uses a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the biometric information, location information, and emotional state acquired by the device to the server. The inputs are biometric information, location information, and emotional state data, and the output is a successful transmission to the server.

[0983] Step 5:

[0984] The server receives biometric information, location information, and emotional state sent from the device. The input is various data sent from the device, and the output is the received data ready for analysis.

[0985] Step 6:

[0986] The server analyzes the received data in real time using anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. The inputs are the received biometric data, location data, and emotional state, and the output is the anomaly detection results.

[0987] Step 7:

[0988] If the server detects an abnormality, it sends an instruction to send an alert to the terminal. The input is the analysis result, and the output is an instruction to send an alert to the terminal.

[0989] Step 8:

[0990] If the server determines that the anomaly is serious, it automatically notifies the user's emergency contacts and the appropriate authorities. The inputs are the anomaly detection results and the user's contact information, and the output is the completion of sending the notification message.

[0991] Step 9:

[0992] When the terminal receives an instruction to send an alert from the server, it sends an audio alert. The input is an instruction from the server, and the output is the sending of an audio alert.

[0993] 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.

[0994] 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.

[0995] 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.

[0996] [Third embodiment]

[0997] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0998] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0999] 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).

[1000] 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.

[1001] 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.

[1002] 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).

[1003] 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.

[1004] 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.

[1005] 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.

[1006] 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.

[1007] 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.

[1008] 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."

[1009] The AI ​​smartwatch of the present invention provides a system that collects a user's biometric information and location information, analyzes that data to detect abnormalities, and issues alerts as necessary. Specific embodiments of the system are described below.

[1010] System configuration

[1011] The system consists of the following main components:

[1012] 1. Device (smartwatch worn by the user)

[1013] 2. Server (a remote server that collects and analyzes data)

[1014] 3. Your emergency contacts and authorities (who will receive notifications)

[1015] Device (smartwatch)

[1016] Measurement of biological information

[1017] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[1018] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1019] Obtaining location information

[1020] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[1021] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[1022] Sending alerts

[1023] 3. The device has the ability to emit a voice alert if an abnormality is detected.

[1024] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[1025] Communication Function

[1026] 4. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server.

[1027] server

[1028] Receiving and analyzing data

[1029] 1. The server receives biometric and location information sent from the device and analyzes it in real time.

[1030] The analysis uses outlier detection algorithms and predictive models.

[1031] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[1032] Alert Instructions

[1033] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1034] Notification function

[1035] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[1036] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[1037] Specific examples

[1038] Preventing heatstroke

[1039] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1040] 2. The server receives this information and determines that there is a risk of heatstroke.

[1041] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1042] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1043] Elderly people wandering

[1044] 1. The device collects GPS data and detects unusual movement patterns.

[1045] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1046] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1047] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1048] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and provide necessary alerts and notifications.

[1049] The processing flow will be explained below.

[1050] Step 1:

[1051] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[1052] The user enters the required information into the smartphone app.

[1053] The app will pair with your smartwatch.

[1054] Step 2:

[1055] The terminal transmits the user information to the server.

[1056] The smartphone app calls an API that sends data to the server via the device.

[1057] Step 3:

[1058] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[1059] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[1060] The server sends the setting information to the terminal.

[1061] Step 4:

[1062] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[1063] Built-in sensors collect data.

[1064] Data is collected at regular intervals and stored in the device's memory.

[1065] Step 5:

[1066] The terminal transmits the collected data to the server.

[1067] The terminal sends the collected data to the server at regular intervals.

[1068] Step 6:

[1069] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[1070] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[1071] Step 7:

[1072] The device will send an alert if an abnormality is detected.

[1073] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[1074] Step 8:

[1075] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location.

[1076] Your device will send GPS data to your emergency contacts via SMS or app notification.

[1077] Step 9:

[1078] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[1079] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[1080] Step 10:

[1081] The device continuously transmits the user's current location to the server in real time.

[1082] The device sends GPS data to the server at set intervals.

[1083] Step 11:

[1084] The device records the surroundings using the built-in camera and sends it to the server.

[1085] The device collects images using the camera module and uploads them to the server.

[1086] Example 1

[1087] 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."

[1088] Conventional systems that collect and monitor biometric and location information face the challenge of detecting abnormalities in real time and taking prompt and appropriate action. Furthermore, to fully ensure the health and safety of users, it is necessary to predict a variety of abnormal patterns and issue appropriate alerts. Notifications in emergencies must also be sent quickly and reliably. Furthermore, there is a need for systems that can monitor changes in the surrounding environment and issue warnings based on those changes.

[1089] 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.

[1090] In this invention, the server includes a means for analyzing the acquired biometric information and location information, a means including a prediction model for detecting abnormal values ​​in real time, and a means for sending an alert instruction to the terminal, thereby enabling constant monitoring of the user's health condition and location information, rapid detection of abnormalities, and necessary alerts and notifications.

[1091] The "means for measuring biological information" is a device including a sensor for acquiring data related to the user's biological body, such as body temperature and heart rate.

[1092] A "means for acquiring location information" is a device that uses a GPS module or other location tracking technology to measure the user's current location.

[1093] The "analyzing means" is a device that includes algorithms and software for analyzing the acquired biometric information and location information.

[1094] A "predictive model" is a machine learning model that predicts future abnormal values ​​and risks based on past data and statistical analysis.

[1095] An "alert means" is a device that includes a voice message, vibration, or other notification method to notify the user of an abnormality.

[1096] The "means for sending an instruction to issue an alert to the terminal" is a communication means by which the server sends an instruction to issue an alert to the terminal based on the analysis result.

[1097] "Means for automatically notifying emergency contacts and appropriate authorities" refers to a system for automatically notifying a user's emergency contacts and appropriate authorities in the event of an emergency.

[1098] A "server" is a remote computing device that receives data, analyzes it, detects anomalies, and notifies you.

[1099] A "terminal" is a device such as a smartwatch worn by a user that measures biometric and location information and communicates with a server.

[1100] The present invention is a system that collects biometric information and location information of a user, analyzes the information to detect abnormalities, and issues an alert as necessary. Specific embodiments of the system will be described below.

[1101] System configuration

[1102] The system consists of the following main components:

[1103] 1. Device (smartwatch worn by the user)

[1104] 2. Server (a remote server that collects and analyzes data)

[1105] 3. Your emergency contacts and authorities (who will receive notifications)

[1106] Device (smartwatch)

[1107] Measurement of biological information

[1108] The device has built-in sensors to measure the user's body temperature and heart rate. For example, when a user wears a smartwatch, the heart rate sensor constantly measures the user's heart rate and updates the data every 15 seconds.

[1109] Obtaining location information

[1110] The device is equipped with a GPS module that can obtain the user's current location in real time. For example, while the user is moving, the GPS module updates the location information every 10 seconds and prepares to send it to the server.

[1111] Sending alerts

[1112] The device has a function to issue a voice alert if an abnormality is detected. For example, if the user enters a dangerous area, a voice will warn the user, saying, "It's dangerous. Please get away from here."

[1113] Communication Function

[1114] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server. The appropriate communication method is selected to transmit the data efficiently.

[1115] server

[1116] Receiving and analyzing data

[1117] The server receives biometric and location information from the device and analyzes it in real time. It uses algorithms and predictive models to detect abnormal values. For example, if a user's body temperature exceeds 38 degrees, it determines that there is a risk of heatstroke and generates instructions to send an alert.

[1118] Alert Instructions

[1119] If the server detects an abnormality based on the analysis results, it sends an instruction to the device to issue an alert, allowing the device to immediately warn the user of the abnormal situation.

[1120] Notification function

[1121] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a possibility of sexual assault, parents and the appropriate authorities will be notified with their location.

[1122] Specific examples

[1123] Preventing heatstroke

[1124] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1125] 2. The server receives this information and determines that there is a risk of heatstroke.

[1126] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1127] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1128] Elderly people wandering

[1129] 1. The device collects GPS data and detects unusual movement patterns.

[1130] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1131] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1132] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1133] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and effectively provide necessary alerts and notifications.

[1134] An example of a prompt for the generative AI model is, "Generate an appropriate alert message if the user's body temperature exceeds 37.5 degrees."

[1135] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1136] Step 1:

[1137] The device collects the user's biometric information. When the user wears the smartwatch, the heart rate sensor and body temperature sensor are activated and collect data continuously. Specifically, the heart rate sensor obtains new heart rate data every 15 seconds, and the body temperature sensor measures body temperature in real time. This biometric information (heart rate, body temperature) becomes the input data.

[1138] Step 2:

[1139] The device acquires location information. The built-in GPS module acquires the user's current location every 10 seconds and saves it as data. Specifically, latitude and longitude information is recorded as input data.

[1140] Step 3:

[1141] The device transmits the collected biometric and location information to a server. Using a communication module (Wi-Fi, Bluetooth, or cellular communication), the device periodically transmits the collected data to the server. Specifically, a compressed packet is generated for each data point and sent to the server via the network.

[1142] Step 4:

[1143] The server receives the biometric and location information sent from the device. The received data is input into an analysis algorithm. Specifically, the data is received via HTTP requests or WebSockets and stored in a database for analysis.

[1144] Step 5:

[1145] The server analyzes the received data in real time, using anomaly detection algorithms and predictive models. For example, if a user's body temperature data is input and the value exceeds 38 degrees, it is determined to be abnormal. The analysis results are output data.

[1146] Step 6:

[1147] If the server detects an abnormality based on the analysis results, it sends an instruction to issue an alert to the terminal. Specifically, output data for the abnormality determination is generated, and an alert message (e.g., "Your body temperature is too high. Please drink plenty of fluids") is constructed based on that data.

[1148] Step 7:

[1149] The device receives instructions from the server and issues an alert to the user, specifically by playing a voice message or vibrating the device.

[1150] Step 8:

[1151] If an abnormality is detected, the server automatically notifies the user's emergency contacts and the relevant authorities by generating and sending an email or SMS containing the user's current location and a description of the abnormality.

[1152] This allows the system to monitor the user's biometric and location information in real time, quickly detect abnormalities, and provide appropriate alerts and notifications.

[1153] (Application example 1)

[1154] 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."

[1155] In conventional logistics centers, there are insufficient means for constantly monitoring the health status of staff, resulting in the risk of heatstroke and abnormal movement. Furthermore, there is a lack of a system that can quickly detect these abnormalities, issue an alert, and notify the manager, resulting in safety management issues. The present invention aims to solve these issues and provide a system that ensures the safety of staff.

[1156] 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.

[1157] In this invention, the server includes means for analyzing the user's biometric information, means for analyzing location information, and means for issuing an alert when an abnormality is detected. This makes it possible to monitor the health status and location information of staff in real time, and to immediately issue an alert and notify the administrator when an abnormality is detected.

[1158] A "user" is a person who wears and uses the system.

[1159] "Biometric information" refers to data relating to the user's physical condition, specifically body temperature, heart rate, and the like.

[1160] "Location information" is data relating to the user's current geographical location obtained using a GPS or the like.

[1161] "Analysis" refers to data processing and analysis procedures for detecting abnormalities based on collected biometric and location information.

[1162] "Abnormal" refers to an abnormal state such as a value outside the normal range of biological information or movement that differs from a normal movement pattern.

[1163] An "alert" is a warning or caution notice sent to users and administrators when an abnormality is detected.

[1164] An "emergency contact" is a person or organization authorized to receive emergency notifications in the event that the user experiences an abnormality.

[1165] "Relevant Authority" means any public body, service provider or other organisation responsible for protecting and managing the safety and health of users.

[1166] "Prediction" is the act of detecting and estimating future risks and abnormalities based on collected biometric and location information.

[1167] "Administrator" means the person or entity responsible for monitoring and operating the system at a distribution center or other facility.

[1168] A "remote server" is a remote computer system that receives and analyzes data sent from a smartwatch.

[1169] System Overview

[1170] This system monitors the biometric information and location information of users working in the logistics center in real time, and has the ability to detect abnormalities and send alerts. The system consists of a smartwatch (terminal), a remote server, and an administrator.

[1171] Device (smartwatch)

[1172] Measurement of biological information

[1173] The device has built-in sensors that measure the user's body temperature and heart rate. For example, the heart rate sensor measures the user's heart rate continuously and updates the data every 15 seconds.

[1174] Obtaining location information

[1175] The device is equipped with a GPS module that acquires the user's current location in real time. For example, the device updates the user's location every 10 seconds while the user is moving and sends it to the server.

[1176] Sending alerts

[1177] The device has the ability to issue a voice alert if an abnormality is detected. For example, if there is a high risk of heatstroke, it will warn the user by saying, "Your body temperature is too high. Please drink plenty of fluids."

[1178] Communication Function

[1179] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric and location information to a remote server.

[1180] Remote Server

[1181] Receiving and analyzing data

[1182] The remote server receives the biometric and location information sent from the device and analyzes it in real time using anomaly detection algorithms and predictive models. For example, if a person's body temperature exceeds 38 degrees, it may determine that they are at risk of heatstroke.

[1183] Alert Instructions

[1184] If an abnormality is detected based on the analysis results, the remote server sends an instruction to the terminal to issue an alert.

[1185] Notification function

[1186] The remote server automatically notifies emergency contacts and administrators when an abnormality occurs. For example, if an abnormal movement pattern is detected, an alert will be sent to the administrator.

[1187] Hardware and software used

[1188] Hardware

[1189] Smartwatch: Heart rate sensor, body temperature sensor, GPS module

[1190] remote server: computer system for data analysis

[1191] software

[1192] Data Analysis Algorithms: Software for Outlier Detection and Risk Prediction

[1193] Communication modules: Wi-Fi, Bluetooth, cellular communication

[1194] Specific examples

[1195] For example, if a user (staff member) in a logistics center has a body temperature above 38 degrees, the device will detect the abnormality based on data obtained from the heart rate sensor and immediately send out an audio alert. At the same time, the remote server will notify the administrator, enabling a prompt response.

[1196] Prompt Sentence Examples

[1197] An example of a prompt to input to a generative AI model is:

[1198] Generate a Python program that meets the following requirements:

[1199] Biometric information (heart rate, body temperature) and GPS information are obtained from the smartwatch.

[1200] The acquired data is sent to the server.

[1201] Receives a response from the server and displays an alert if an abnormality is detected.

[1202] The above is a detailed description of the mode for carrying out the invention.

[1203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1204] Step 1:

[1205] The device measures the user's biometric information. Specifically, the smartwatch has a built-in heart rate sensor that measures the user's heart rate, and a body temperature sensor that measures the user's body temperature. The sensors acquire the user's heart rate and body temperature as input, and the measured heart rate and body temperature data are obtained as output.

[1206] Step 2:

[1207] The terminal acquires location information. The GPS module acquires the user's current location in real time. The GPS module acquires the user's current location as input, and the user's location information data is obtained as output.

[1208] Step 3:

[1209] The device transmits the acquired biometric and location information to a remote server. The data is transmitted using a Wi-Fi, Bluetooth, or cellular communication module. As input, the acquired heart rate, body temperature, and location data are passed to the communication module, and as output, these data are transmitted to the remote server.

[1210] Step 4:

[1211] The server receives the data sent from the device. The data is received at the API endpoint of the remote server. As input, biometric and location data from the device is received, and as output, it is stored in internal data storage for use in analysis.

[1212] Step 5:

[1213] The server analyzes the received data in real time. It analyzes the biometric and location information using anomaly detection algorithms and risk prediction models. The received heart rate, body temperature, and location information are provided as input to the algorithm, and the presence or absence of abnormalities and risk assessment results are obtained as output.

[1214] Step 6:

[1215] If the server detects an anomaly, it sends an instruction to the terminal to issue an alert. If the analysis result indicates an anomaly, that information is provided to the communication module as input, and an instruction to issue an alert is sent to the terminal as output.

[1216] Step 7:

[1217] The terminal issues an alert based on instructions from the server. Specifically, an audio alert or notification is conveyed to the user. The terminal receives an alert instruction from the server as input, and displays a warning message to the user as output.

[1218] Step 8:

[1219] The server notifies emergency contacts and administrators when an anomaly occurs. As input, if the analysis results indicate an anomaly, that information is provided to the notification system, and as output, a notification is sent to the emergency contacts and administrators.

[1220] Step 9:

[1221] The server accumulates data for predicting future risks and provides the analysis results to the administrator. As input, collected biometric and location information data is stored in the data storage, and as output, a future risk assessment based on the risk prediction model is provided to the administrator.

[1222] 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.

[1223] The AI ​​monitoring smartwatch system of the present invention collects and analyzes the user's biometric and location information, and issues an alert if it detects an abnormality. It also recognizes the user's emotional state by combining it with an emotion engine and takes appropriate action as necessary. Specific embodiments of the system are described below.

[1224] System configuration

[1225] The system consists of the following main components:

[1226] 1. Device (smartwatch worn by the user)

[1227] 2. Server (a remote server that collects and analyzes data)

[1228] 3. Your emergency contacts and authorities (who will receive notifications)

[1229] Device (smartwatch)

[1230] Measurement of biological information

[1231] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[1232] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1233] Obtaining location information

[1234] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[1235] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[1236] Recognition of emotional states

[1237] 3. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state.

[1238] For example, when a user speaks through their smartwatch, the emotion engine analyzes their tone of voice and what they say to detect stress or excitement.

[1239] Sending alerts

[1240] 4. The device has the ability to emit a voice alert if an abnormality is detected.

[1241] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[1242] Communication Function

[1243] 5. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to the server.

[1244] server

[1245] Receiving and analyzing data

[1246] 1. The server receives biometric information, location information, and emotional state sent from the device and analyzes it in real time.

[1247] The analysis uses outlier detection algorithms, risk prediction models, and sentiment analysis algorithms.

[1248] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[1249] Alert Instructions

[1250] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1251] Notification function

[1252] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[1253] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[1254] Specific examples

[1255] Preventing heatstroke

[1256] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1257] 2. The server receives this information and determines that there is a risk of heatstroke.

[1258] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1259] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1260] Elderly people wandering

[1261] 1. The device collects GPS data and detects unusual movement patterns.

[1262] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1263] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1264] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1265] Emotional state anomaly detection

[1266] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1267] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[1268] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1269] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1270] In this way, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[1271] The processing flow will be explained below.

[1272] Step 1:

[1273] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[1274] The user enters the required information into the smartphone app.

[1275] The app will pair with your smartwatch.

[1276] Step 2:

[1277] The terminal transmits the user information to the server.

[1278] The smartphone app calls an API that sends data to the server via the device.

[1279] Step 3:

[1280] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[1281] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[1282] The server sends the setting information to the terminal.

[1283] Step 4:

[1284] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[1285] Built-in sensors collect data.

[1286] Data is collected at regular intervals and stored in the device's memory.

[1287] Step 5:

[1288] The terminal transmits the collected data to the server.

[1289] The terminal sends the collected data to the server at regular intervals.

[1290] Step 6:

[1291] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[1292] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[1293] Step 7:

[1294] The device will send an alert if an abnormality is detected.

[1295] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[1296] Step 8:

[1297] The terminal uses an emotion engine to analyze the user's emotions.

[1298] The device analyzes the user's voice and facial expressions in real time using an emotion engine.

[1299] If the emotional state exceeds a certain threshold, it will be marked as abnormal.

[1300] Step 9:

[1301] The device transmits the analyzed emotion data to the server.

[1302] The device calls an API that sends emotion engine data to the server.

[1303] Step 10:

[1304] The server performs comprehensive data analysis, including emotional state.

[1305] The server runs an algorithm that integrates and analyzes biometric information, location information, and emotional state.

[1306] Step 11:

[1307] The server detects anomalies based on the emotional state and sends an alert instruction to the terminal.

[1308] The server detects the abnormal emotional state and sends an alert instruction to the terminal if necessary.

[1309] Step 12:

[1310] The device will send out an alert when an abnormality in emotional state is detected.

[1311] The device will warn you with a voice message saying, "Stress is increasing. We recommend taking a break."

[1312] Step 13:

[1313] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location and emotional state.

[1314] Your device will send GPS data and emotional state to your emergency contacts via SMS and app notifications.

[1315] Step 14:

[1316] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[1317] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[1318] Step 15:

[1319] The device continuously transmits the user's current location to the server in real time.

[1320] The device sends GPS data to the server at set intervals.

[1321] Step 16:

[1322] The device records the surroundings using the built-in camera and sends it to the server.

[1323] The device collects images using the camera module and uploads them to the server.

[1324] Example 2

[1325] 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."

[1326] In recent years, there has been a demand for technology that can monitor a user's health and safety in real time and respond quickly when an abnormality occurs. However, conventional technology has only monitored a user's biometric information and location information, and no system has taken into account fluctuations in emotional state or the surrounding environment. Furthermore, mechanisms for providing appropriate instructions to the user even when an abnormality is detected have been insufficient. Therefore, the present invention aims to solve these problems and provide a system that comprehensively monitors a user's health, safety, and emotional state and responds appropriately and quickly when an abnormality is detected.

[1327] 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.

[1328] In this invention, the server includes means for measuring the user's biometric information, means for acquiring the user's location information, means for recognizing the user's emotional state, means for transmitting the acquired biometric information and location information to the server, means for analyzing the acquired biometric information, location information and emotional state, means for issuing an alert if an abnormality is detected based on the analysis, and means for automatically notifying the user's emergency contacts and relevant authorities.

[1329] This allows for comprehensive monitoring of a user's health, safety, and emotional state, and allows for appropriate and prompt alerts and notifications to be sent if any abnormalities are detected.

[1330] The "means for measuring the user's biological information" refers to a device or system for measuring the user's physiological data such as body temperature, heart rate, etc.

[1331] "Means for acquiring user location information" refers to a device or system for identifying the user's current location using a GPS module or other location identification technology.

[1332] The "means for recognizing the user's emotional state" is a device or system that analyzes the user's tone of voice and facial expression to determine the user's emotional state at that time.

[1333] The "means for transmitting acquired biometric information and location information to a server" refers to a device or system that includes communication technologies such as Wi-Fi or Bluetooth that are used to transmit measured data to a server in real time.

[1334] The "means for analyzing acquired biometric information, location information, and emotional state" refers to a device or system that includes an algorithm or program that analyzes the received data and evaluates health status or abnormalities.

[1335] The "means for issuing an alert when an abnormality is detected based on the analysis" refers to a device or system for issuing an audio or visual warning to the user when an abnormality is detected from the analysis results.

[1336] "Means for automatically notifying the user's emergency contacts and appropriate authorities" refers to a device or system that automatically notifies the user's designated contacts and appropriate authorities in the event of an emergency.

[1337] The "means for sending appropriate instructions to the terminal based on the analysis results" refers to a device or system that allows the server to send necessary instructions and information to the user's terminal based on the analysis results.

[1338] "Means for monitoring the user's surrounding environment, detecting abnormal environmental changes, and issuing an alert" refers to a device or system for monitoring the user's surrounding environment and issuing a corresponding warning if an abnormality is detected.

[1339] The AI ​​monitoring smartwatch system of this invention comprehensively monitors the user's health, location, and emotional state, and responds quickly when an abnormality is detected. The system consists of the following main components:

[1340] System configuration

[1341] The system consists of the following main components:

[1342] 1. Device (smartwatch worn by the user)

[1343] 2. Server (a remote server that collects and analyzes data)

[1344] 3. Your emergency contacts and authorities (who will receive notifications)

[1345] Device (smartwatch)

[1346] Measurement of biological information

[1347] The device is equipped with built-in sensors that measure the user's body temperature and heart rate. Specifically, a heart rate sensor and a body temperature sensor are used. This allows the device to constantly monitor the user's body temperature and heart rate, and the measurement data is updated every 15 seconds.

[1348] Obtaining location information

[1349] The device is equipped with a GPS module that acquires the user's current location in real time. Even when the user is moving, the GPS module updates the location information every 10 seconds and sends the acquired data to the server.

[1350] Recognition of emotional states

[1351] The device is equipped with an emotion engine that analyzes the user's tone of voice and facial expressions to recognize their emotional state. For example, when a user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[1352] Sending alerts

[1353] If an abnormality is detected, the device will issue an audio or visual alert. For example, if the user enters a dangerous area, an audio warning will sound saying, "It's dangerous, please leave."

[1354] Communication Function

[1355] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to a server, allowing for real-time data communication.

[1356] server

[1357] Receiving and analyzing data

[1358] The server receives biometric data, location data, and emotional state transmitted from the device and analyzes them in real time using outlier detection algorithms, risk prediction models, and emotion analysis algorithms.

[1359] Alert Instructions

[1360] If the server detects an abnormality based on the analysis results, it will send an alert to the device. For example, if the user's body temperature exceeds 38 degrees, it will determine that there is a risk of heatstroke and send an alert to the device.

[1361] Notification function

[1362] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a risk of sexual assault, the server notifies parents and the appropriate authorities with their location.

[1363] Specific examples

[1364] Preventing heatstroke

[1365] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1366] 2. The server receives this information and determines that there is a risk of heatstroke.

[1367] 3. The device will receive a voice warning saying, "Your temperature is too high. Please drink fluids."

[1368] 4. The device sends an alert to the user, and the server notifies emergency contacts of the situation and, if necessary, medical institutions.

[1369] Elderly people wandering

[1370] 1. The device collects GPS data and detects unusual movement patterns.

[1371] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1372] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1373] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1374] Emotional state anomaly detection

[1375] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1376] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[1377] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1378] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1379] Prompt Sentence Examples

[1380] "Write a program that analyzes the user's biometric information, location information, and emotional state received from the smartwatch, and sends appropriate alerts and notifies emergency contacts if an abnormality is detected."

[1381] As described above, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and issue necessary alerts and notifications.

[1382] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1383] Step 1:

[1384] The user wears the smartwatch

[1385] The user wears the smartwatch on their wrist. This activates the device's sensors and starts data collection. The input is the user's wearing behavior, and the output is the sensor activation status.

[1386] Step 2:

[1387] The device measures biometric information

[1388] The heart rate sensor and body temperature sensor installed on the device acquire the user's biometric information. Specifically, the heart rate sensor measures the user's heart rate at a frequency of 15 times per second, and the body temperature sensor constantly monitors the user's body temperature. The input is the biometric information acquired from the user, and the output is the measurement data.

[1389] Step 3:

[1390] The device acquires location information

[1391] The device's GPS module obtains the user's current location in real time. The GPS module updates the location information every 10 seconds and records the data in its internal memory. The input is the user's location information, and the output is the GPS data.

[1392] Step 4:

[1393] The device recognizes your emotional state

[1394] The device's emotion engine analyzes the user's tone of voice and facial expressions. The microphone picks up the user's voice, and the camera captures a photo of the user's face. The emotion engine analyzes this data to determine the user's emotional state. The input is the user's voice and facial expression data, and the output is emotional state data.

[1395] Step 5:

[1396] The device sends the data to the server

[1397] The communication module installed in the device transmits the acquired biometric information, location information, and emotional state to a server. The data is sent to the server in real time at one-second intervals via Wi-Fi or Bluetooth. The input is the measured and acquired data, and the output is data communication packets sent to the server.

[1398] Step 6:

[1399] The server receives the data

[1400] The server receives biometric information, location information, and emotional state transmitted from the device. The received data is stored in an analytical database. The input is data communication packets from the device, and the output is recorded data in the database.

[1401] Step 7:

[1402] The server analyzes the data

[1403] The server analyzes the incoming data in real time. Anomaly detection algorithms, risk prediction models, and sentiment analysis algorithms are applied. For example, a body temperature above 38°C is considered abnormal. The input is the recorded data, and the output is the analysis results.

[1404] Step 8:

[1405] The server detects an anomaly

[1406] The server detects anomalies based on the analysis results. If an anomaly is detected, instructions are generated according to the nature of the anomaly. The input is the analysis results, and the output is response instructions.

[1407] Step 9:

[1408] The server sends the appropriate instructions to the device.

[1409] The server sends a response instruction to the device. For example, if the body temperature is too high, the server sends the instruction "Your body temperature is too high. Please drink water." The input is the response instruction, and the output is a data communication packet to the device.

[1410] Step 10:

[1411] The device sends an alert

[1412] The device issues audio and visual alerts based on instructions received from the server. For example, it may issue an audio alert saying, "Danger, please move away from here." The input is instruction data from the server, and the output is a warning alert to the user.

[1413] Step 11:

[1414] The server notifies emergency contacts and appropriate authorities

[1415] The server automatically notifies emergency contacts and relevant authorities in the event of an abnormality. For example, if a child enters a dangerous area, a notification is sent along with their location information. The input is the abnormality detection result and user information, and the output is notification data for emergency contacts and relevant authorities.

[1416] Through the above steps, the system can comprehensively monitor the user's health status, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[1417] (Application example 2)

[1418] 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."

[1419] In modern society, there is a need to appropriately monitor individuals' health, location, and emotional state and detect abnormalities in real time. However, current systems have difficulty integrating and analyzing these multiple information sources and taking prompt and appropriate action in emergencies. To ensure user safety, it is also important to reliably issue alerts and send notifications to relevant parties and emergency contacts when an abnormality is detected.

[1420] The identification process by the identification 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 means for measuring the user's biometric information, means for acquiring the user's location information, means for analyzing the acquired biometric information and location information, means for recognizing the user's emotional state, means for issuing an alert when an abnormality is detected based on the analysis and recognition, and means for automatically notifying the user's emergency contact and relevant authorities. This enables integrated monitoring of the user's biometric information, location information, and emotional state in real time, and enables rapid and appropriate response when an abnormality is detected.

[1421] "Biometric information" is data relating to the user's physical condition, such as body temperature, heart rate, and blood pressure.

[1422] "Location Information" means data about a user's current location obtained using GPS or other location-determining technology.

[1423] "Emotional state" is data related to the user's emotions that is obtained by analyzing the user's facial expression, tone of voice, speech content, and the like.

[1424] An "alert" is a notification issued to the user to warn or alert them when an abnormality is detected.

[1425] "Emergency Contact" is contact information for a person or organization that is registered in advance to automatically notify the user when an abnormality is detected.

[1426] "Relevant authorities" are public institutions or organizations that users can call for assistance in an emergency, such as police, fire departments, or medical institutions.

[1427] A "server" is a computer system that receives and analyzes a user's biometric information, location information, and emotional state, and issues alerts and notifications as necessary.

[1428] "Analysis" refers to the process of processing and judging data to evaluate the presence or absence of abnormalities and risks based on the acquired data.

[1429] "Monitoring" is the activity of continuously observing the user's condition and checking for any abnormalities.

[1430] "Notification" means sending a message or alert to inform interested parties about a particular situation.

[1431] To implement the present invention, the following major components are required:

[1432] 1. Device (smartwatch)

[1433] Biometric data measurement: The device has built-in sensors that measure the user's body temperature and heart rate. When the user wears the smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1434] Location information acquisition: The device is equipped with a GPS module that acquires the user's current location in real time. The GPS module updates the location information every 10 seconds and sends it to the server.

[1435] Emotional state recognition: The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state. When the user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[1436] Alert generation: The device has the ability to generate audio alerts if an abnormality is detected. If the user enters a dangerous area, the device will warn the user by voice, saying, "It's dangerous, please leave this area."

[1437] Communication function: The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric information, location information, and emotional state to a server.

[1438] 2. Server

[1439] Data reception and analysis: The server receives biometric information, location information, and emotional state data sent from the device and analyzes it in real time. The analysis uses anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. For example, if a user's body temperature exceeds 38 degrees, the server determines that the user is at risk of heatstroke and sends an alert.

[1440] Alert instruction: Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1441] Notification function: The server automatically notifies the user's emergency contacts and the appropriate authorities in case of an emergency. For example, if a child enters an area where there is a risk of sexual assault, a notification will be sent to parents and the appropriate authorities along with their location.

[1442] Specific use cases include the following scenarios:

[1443] Preventing heatstroke:

[1444] The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1445] The server receives this information and determines that there is a risk of heatstroke.

[1446] An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink plenty of fluids."

[1447] The server notifies emergency contacts of the situation and, if necessary, medical institutions.

[1448] Elderly Wandering:

[1449] The device collects GPS data and detects unusual movement patterns.

[1450] The server analyzes this information and determines whether there is a high probability of wandering.

[1451] The server automatically calls emergency contacts and authorities and shares the user's current location.

[1452] The device records the surroundings using the built-in camera and sends it to the server.

[1453] Emotional State Anomaly Detection:

[1454] The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1455] A server receives the emotion engine data and determines abnormal emotional states.

[1456] The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1457] The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1458] The recommended hardware and software for implementing this invention include a GPS module, a heart rate sensor, a body temperature sensor, an emotion recognition engine, and a communication module (Wi-Fi, Bluetooth, cellular communication). The analysis algorithm and notification system are implemented on the server side. Specific software includes a Python program, a Python package for the GPS module, and a requests library for sending HTTP requests.

[1459] Example prompt for a generative AI model:

[1460] "I would like to develop a security guardian app. The application will monitor the user's heart rate, body temperature, location, and emotional state, and if an abnormality is detected, it will send out an alert and notify registered contacts and the appropriate authorities. What are the specific features of this application and the technologies it will use?"

[1461] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1462] Step 1:

[1463] The device measures the user's biometric information. Specifically, the device's built-in sensors constantly monitor the user's body temperature and heart rate, obtaining the latest data every 15 seconds. The input is the user's body temperature and heart rate, and the output is the latest biometric data.

[1464] Step 2:

[1465] The device obtains the user's location information. The built-in GPS module checks the current location every 10 seconds and sends the new location information to the server. It requires GPS data as input and the current location as output.

[1466] Step 3:

[1467] The device recognizes the user's emotional state. The emotion engine installed in the device analyzes the user's tone of voice and facial expressions to determine their emotional state. Voice data spoken by the user is input, and emotional state data is obtained as output.

[1468] Step 4:

[1469] The device uses a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the biometric information, location information, and emotional state acquired by the device to the server. The inputs are biometric information, location information, and emotional state data, and the output is a successful transmission to the server.

[1470] Step 5:

[1471] The server receives biometric information, location information, and emotional state sent from the device. The input is various data sent from the device, and the output is the received data ready for analysis.

[1472] Step 6:

[1473] The server analyzes the received data in real time using anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. The inputs are the received biometric data, location data, and emotional state, and the output is the anomaly detection results.

[1474] Step 7:

[1475] If the server detects an abnormality, it sends an instruction to send an alert to the terminal. The input is the analysis result, and the output is an instruction to send an alert to the terminal.

[1476] Step 8:

[1477] If the server determines that the anomaly is serious, it automatically notifies the user's emergency contacts and the appropriate authorities. The inputs are the anomaly detection results and the user's contact information, and the output is the completion of sending the notification message.

[1478] Step 9:

[1479] When the terminal receives an instruction to send an alert from the server, it sends an audio alert. The input is an instruction from the server, and the output is the sending of an audio alert.

[1480] 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.

[1481] 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.

[1482] 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.

[1483] [Fourth embodiment]

[1484] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1485] 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.

[1486] 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).

[1487] 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.

[1488] 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.

[1489] 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).

[1490] 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.

[1491] 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.

[1492] 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.

[1493] 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.

[1494] 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.

[1495] 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.

[1496] 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."

[1497] The AI ​​smartwatch of the present invention provides a system that collects a user's biometric information and location information, analyzes that data to detect abnormalities, and issues alerts as necessary. Specific embodiments of the system are described below.

[1498] System configuration

[1499] The system consists of the following main components:

[1500] 1. Device (smartwatch worn by the user)

[1501] 2. Server (a remote server that collects and analyzes data)

[1502] 3. Your emergency contacts and authorities (who will receive notifications)

[1503] Device (smartwatch)

[1504] Measurement of biological information

[1505] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[1506] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1507] Obtaining location information

[1508] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[1509] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[1510] Sending alerts

[1511] 3. The device has the ability to emit a voice alert if an abnormality is detected.

[1512] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[1513] Communication Function

[1514] 4. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server.

[1515] server

[1516] Receiving and analyzing data

[1517] 1. The server receives biometric and location information sent from the device and analyzes it in real time.

[1518] The analysis uses outlier detection algorithms and predictive models.

[1519] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[1520] Alert Instructions

[1521] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1522] Notification function

[1523] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[1524] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[1525] Specific examples

[1526] Preventing heatstroke

[1527] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1528] 2. The server receives this information and determines that there is a risk of heatstroke.

[1529] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1530] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1531] Elderly people wandering

[1532] 1. The device collects GPS data and detects unusual movement patterns.

[1533] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1534] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1535] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1536] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and provide necessary alerts and notifications.

[1537] The processing flow will be explained below.

[1538] Step 1:

[1539] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[1540] The user enters the required information into the smartphone app.

[1541] The app will pair with your smartwatch.

[1542] Step 2:

[1543] The terminal transmits the user information to the server.

[1544] The smartphone app calls an API that sends data to the server via the device.

[1545] Step 3:

[1546] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[1547] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[1548] The server sends the setting information to the terminal.

[1549] Step 4:

[1550] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[1551] Built-in sensors collect data.

[1552] Data is collected at regular intervals and stored in the device's memory.

[1553] Step 5:

[1554] The terminal transmits the collected data to the server.

[1555] The terminal sends the collected data to the server at regular intervals.

[1556] Step 6:

[1557] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[1558] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[1559] Step 7:

[1560] The device will send an alert if an abnormality is detected.

[1561] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[1562] Step 8:

[1563] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location.

[1564] Your device will send GPS data to your emergency contacts via SMS or app notification.

[1565] Step 9:

[1566] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[1567] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[1568] Step 10:

[1569] The device continuously transmits the user's current location to the server in real time.

[1570] The device sends GPS data to the server at set intervals.

[1571] Step 11:

[1572] The device records the surroundings using the built-in camera and sends it to the server.

[1573] The device collects images using the camera module and uploads them to the server.

[1574] Example 1

[1575] 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."

[1576] Conventional systems that collect and monitor biometric and location information face the challenge of detecting abnormalities in real time and taking prompt and appropriate action. Furthermore, to fully ensure the health and safety of users, it is necessary to predict a variety of abnormal patterns and issue appropriate alerts. Notifications in emergencies must also be sent quickly and reliably. Furthermore, there is a need for systems that can monitor changes in the surrounding environment and issue warnings based on those changes.

[1577] 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.

[1578] In this invention, the server includes a means for analyzing the acquired biometric information and location information, a means including a prediction model for detecting abnormal values ​​in real time, and a means for sending an alert instruction to the terminal, thereby enabling constant monitoring of the user's health condition and location information, rapid detection of abnormalities, and necessary alerts and notifications.

[1579] The "means for measuring biological information" is a device including a sensor for acquiring data related to the user's biological body, such as body temperature and heart rate.

[1580] A "means for acquiring location information" is a device that uses a GPS module or other location tracking technology to measure the user's current location.

[1581] The "analyzing means" is a device that includes algorithms and software for analyzing the acquired biometric information and location information.

[1582] A "predictive model" is a machine learning model that predicts future abnormal values ​​and risks based on past data and statistical analysis.

[1583] An "alert means" is a device that includes a voice message, vibration, or other notification method to notify the user of an abnormality.

[1584] The "means for sending an instruction to issue an alert to the terminal" is a communication means by which the server sends an instruction to issue an alert to the terminal based on the analysis result.

[1585] "Means for automatically notifying emergency contacts and appropriate authorities" refers to a system for automatically notifying a user's emergency contacts and appropriate authorities in the event of an emergency.

[1586] A "server" is a remote computing device that receives data, analyzes it, detects anomalies, and notifies you.

[1587] A "terminal" is a device such as a smartwatch worn by a user that measures biometric and location information and communicates with a server.

[1588] The present invention is a system that collects biometric information and location information of a user, analyzes the information to detect abnormalities, and issues an alert as necessary. Specific embodiments of the system will be described below.

[1589] System configuration

[1590] The system consists of the following main components:

[1591] 1. Device (smartwatch worn by the user)

[1592] 2. Server (a remote server that collects and analyzes data)

[1593] 3. Your emergency contacts and authorities (who will receive notifications)

[1594] Device (smartwatch)

[1595] Measurement of biological information

[1596] The device has built-in sensors to measure the user's body temperature and heart rate. For example, when a user wears a smartwatch, the heart rate sensor constantly measures the user's heart rate and updates the data every 15 seconds.

[1597] Obtaining location information

[1598] The device is equipped with a GPS module that can obtain the user's current location in real time. For example, while the user is moving, the GPS module updates the location information every 10 seconds and prepares to send it to the server.

[1599] Sending alerts

[1600] The device has a function to issue a voice alert if an abnormality is detected. For example, if the user enters a dangerous area, a voice will warn the user, saying, "It's dangerous. Please get away from here."

[1601] Communication Function

[1602] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric and location information to the server. The appropriate communication method is selected to transmit the data efficiently.

[1603] server

[1604] Receiving and analyzing data

[1605] The server receives biometric and location information from the device and analyzes it in real time. It uses algorithms and predictive models to detect abnormal values. For example, if a user's body temperature exceeds 38 degrees, it determines that there is a risk of heatstroke and generates instructions to send an alert.

[1606] Alert Instructions

[1607] If the server detects an abnormality based on the analysis results, it sends an instruction to the device to issue an alert, allowing the device to immediately warn the user of the abnormal situation.

[1608] Notification function

[1609] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a possibility of sexual assault, parents and the appropriate authorities will be notified with their location.

[1610] Specific examples

[1611] Preventing heatstroke

[1612] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1613] 2. The server receives this information and determines that there is a risk of heatstroke.

[1614] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1615] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1616] Elderly people wandering

[1617] 1. The device collects GPS data and detects unusual movement patterns.

[1618] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1619] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1620] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1621] In this way, the system of the present invention can constantly monitor the user's health condition and location information, quickly detect abnormalities, and effectively provide necessary alerts and notifications.

[1622] An example of a prompt for the generative AI model is, "Generate an appropriate alert message if the user's body temperature exceeds 37.5 degrees."

[1623] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1624] Step 1:

[1625] The device collects the user's biometric information. When the user wears the smartwatch, the heart rate sensor and body temperature sensor are activated and collect data continuously. Specifically, the heart rate sensor obtains new heart rate data every 15 seconds, and the body temperature sensor measures body temperature in real time. This biometric information (heart rate, body temperature) becomes the input data.

[1626] Step 2:

[1627] The device acquires location information. The built-in GPS module acquires the user's current location every 10 seconds and saves it as data. Specifically, latitude and longitude information is recorded as input data.

[1628] Step 3:

[1629] The device transmits the collected biometric and location information to a server. Using a communication module (Wi-Fi, Bluetooth, or cellular communication), the device periodically transmits the collected data to the server. Specifically, a compressed packet is generated for each data point and sent to the server via the network.

[1630] Step 4:

[1631] The server receives the biometric and location information sent from the device. The received data is input into an analysis algorithm. Specifically, the data is received via HTTP requests or WebSockets and stored in a database for analysis.

[1632] Step 5:

[1633] The server analyzes the received data in real time, using anomaly detection algorithms and predictive models. For example, if a user's body temperature data is input and the value exceeds 38 degrees, it is determined to be abnormal. The analysis results are output data.

[1634] Step 6:

[1635] If the server detects an abnormality based on the analysis results, it sends an instruction to issue an alert to the terminal. Specifically, output data for the abnormality determination is generated, and an alert message (e.g., "Your body temperature is too high. Please drink plenty of fluids") is constructed based on that data.

[1636] Step 7:

[1637] The device receives instructions from the server and issues an alert to the user, specifically by playing a voice message or vibrating the device.

[1638] Step 8:

[1639] If an abnormality is detected, the server automatically notifies the user's emergency contacts and the relevant authorities by generating and sending an email or SMS containing the user's current location and a description of the abnormality.

[1640] This allows the system to monitor the user's biometric and location information in real time, quickly detect abnormalities, and provide appropriate alerts and notifications.

[1641] (Application example 1)

[1642] 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."

[1643] In conventional logistics centers, there are insufficient means for constantly monitoring the health status of staff, resulting in the risk of heatstroke and abnormal movement. Furthermore, there is a lack of a system that can quickly detect these abnormalities, issue an alert, and notify the manager, resulting in safety management issues. The present invention aims to solve these issues and provide a system that ensures the safety of staff.

[1644] 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.

[1645] In this invention, the server includes means for analyzing the user's biometric information, means for analyzing location information, and means for issuing an alert when an abnormality is detected. This makes it possible to monitor the health status and location information of staff in real time, and to immediately issue an alert and notify the administrator when an abnormality is detected.

[1646] A "user" is a person who wears and uses the system.

[1647] "Biometric information" refers to data relating to the user's physical condition, specifically body temperature, heart rate, and the like.

[1648] "Location information" is data relating to the user's current geographical location obtained using a GPS or the like.

[1649] "Analysis" refers to data processing and analysis procedures for detecting abnormalities based on collected biometric and location information.

[1650] "Abnormal" refers to an abnormal state such as a value outside the normal range of biological information or movement that differs from a normal movement pattern.

[1651] An "alert" is a warning or caution notice sent to users and administrators when an abnormality is detected.

[1652] An "emergency contact" is a person or organization authorized to receive emergency notifications in the event that the user experiences an abnormality.

[1653] "Relevant Authority" means any public body, service provider or other organisation responsible for protecting and managing the safety and health of users.

[1654] "Prediction" is the act of detecting and estimating future risks and abnormalities based on collected biometric and location information.

[1655] "Administrator" means the person or entity responsible for monitoring and operating the system at a distribution center or other facility.

[1656] A "remote server" is a remote computer system that receives and analyzes data sent from a smartwatch.

[1657] System Overview

[1658] This system monitors the biometric information and location information of users working in the logistics center in real time, and has the ability to detect abnormalities and send alerts. The system consists of a smartwatch (terminal), a remote server, and an administrator.

[1659] Device (smartwatch)

[1660] Measurement of biological information

[1661] The device has built-in sensors that measure the user's body temperature and heart rate. For example, the heart rate sensor measures the user's heart rate continuously and updates the data every 15 seconds.

[1662] Obtaining location information

[1663] The device is equipped with a GPS module that acquires the user's current location in real time. For example, the device updates the user's location every 10 seconds while the user is moving and sends it to the server.

[1664] Sending alerts

[1665] The device has the ability to issue a voice alert if an abnormality is detected. For example, if there is a high risk of heatstroke, it will warn the user by saying, "Your body temperature is too high. Please drink plenty of fluids."

[1666] Communication Function

[1667] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric and location information to a remote server.

[1668] Remote Server

[1669] Receiving and analyzing data

[1670] The remote server receives the biometric and location information sent from the device and analyzes it in real time using anomaly detection algorithms and predictive models. For example, if a person's body temperature exceeds 38 degrees, it may determine that they are at risk of heatstroke.

[1671] Alert Instructions

[1672] If an abnormality is detected based on the analysis results, the remote server sends an instruction to the terminal to issue an alert.

[1673] Notification function

[1674] The remote server automatically notifies emergency contacts and administrators when an abnormality occurs. For example, if an abnormal movement pattern is detected, an alert will be sent to the administrator.

[1675] Hardware and software used

[1676] Hardware

[1677] Smartwatch: Heart rate sensor, body temperature sensor, GPS module

[1678] remote server: computer system for data analysis

[1679] software

[1680] Data Analysis Algorithms: Software for Outlier Detection and Risk Prediction

[1681] Communication modules: Wi-Fi, Bluetooth, cellular communication

[1682] Specific examples

[1683] For example, if a user (staff member) in a logistics center has a body temperature above 38 degrees, the device will detect the abnormality based on data obtained from the heart rate sensor and immediately send out an audio alert. At the same time, the remote server will notify the administrator, enabling a prompt response.

[1684] Prompt Sentence Examples

[1685] An example of a prompt to input to a generative AI model is:

[1686] Generate a Python program that meets the following requirements:

[1687] Biometric information (heart rate, body temperature) and GPS information are obtained from the smartwatch.

[1688] The acquired data is sent to the server.

[1689] Receives a response from the server and displays an alert if an abnormality is detected.

[1690] The above is a detailed description of the mode for carrying out the invention.

[1691] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1692] Step 1:

[1693] The device measures the user's biometric information. Specifically, the smartwatch has a built-in heart rate sensor that measures the user's heart rate, and a body temperature sensor that measures the user's body temperature. The sensors acquire the user's heart rate and body temperature as input, and the measured heart rate and body temperature data are obtained as output.

[1694] Step 2:

[1695] The terminal acquires location information. The GPS module acquires the user's current location in real time. The GPS module acquires the user's current location as input, and the user's location information data is obtained as output.

[1696] Step 3:

[1697] The device transmits the acquired biometric and location information to a remote server. The data is transmitted using a Wi-Fi, Bluetooth, or cellular communication module. As input, the acquired heart rate, body temperature, and location data are passed to the communication module, and as output, these data are transmitted to the remote server.

[1698] Step 4:

[1699] The server receives the data sent from the device. The data is received at the API endpoint of the remote server. As input, biometric and location data from the device is received, and as output, it is stored in internal data storage for use in analysis.

[1700] Step 5:

[1701] The server analyzes the received data in real time. It analyzes the biometric and location information using anomaly detection algorithms and risk prediction models. The received heart rate, body temperature, and location information are provided as input to the algorithm, and the presence or absence of abnormalities and risk assessment results are obtained as output.

[1702] Step 6:

[1703] If the server detects an anomaly, it sends an instruction to the terminal to issue an alert. If the analysis result indicates an anomaly, that information is provided to the communication module as input, and an instruction to issue an alert is sent to the terminal as output.

[1704] Step 7:

[1705] The terminal issues an alert based on instructions from the server. Specifically, an audio alert or notification is conveyed to the user. The terminal receives an alert instruction from the server as input, and displays a warning message to the user as output.

[1706] Step 8:

[1707] The server notifies emergency contacts and administrators when an anomaly occurs. As input, if the analysis results indicate an anomaly, that information is provided to the notification system, and as output, a notification is sent to the emergency contacts and administrators.

[1708] Step 9:

[1709] The server accumulates data for predicting future risks and provides the analysis results to the administrator. As input, collected biometric and location information data is stored in the data storage, and as output, a future risk assessment based on the risk prediction model is provided to the administrator.

[1710] 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.

[1711] The AI ​​monitoring smartwatch system of the present invention collects and analyzes the user's biometric and location information, and issues an alert if it detects an abnormality. It also recognizes the user's emotional state by combining it with an emotion engine and takes appropriate action as necessary. Specific embodiments of the system are described below.

[1712] System configuration

[1713] The system consists of the following main components:

[1714] 1. Device (smartwatch worn by the user)

[1715] 2. Server (a remote server that collects and analyzes data)

[1716] 3. Your emergency contacts and authorities (who will receive notifications)

[1717] Device (smartwatch)

[1718] Measurement of biological information

[1719] 1. The device has built-in sensors that measure the user's body temperature and heart rate.

[1720] Example: When a user wears a smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1721] Obtaining location information

[1722] 2. The device is equipped with a GPS module that obtains the user's current location in real time.

[1723] Example: While the user is moving, the GPS module updates the location information every 10 seconds and sends it to the server.

[1724] Recognition of emotional states

[1725] 3. The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state.

[1726] For example, when a user speaks through their smartwatch, the emotion engine analyzes their tone of voice and what they say to detect stress or excitement.

[1727] Sending alerts

[1728] 4. The device has the ability to emit a voice alert if an abnormality is detected.

[1729] Example: When the user enters a dangerous area, a voice will warn them, "It's dangerous, please get away from here."

[1730] Communication Function

[1731] 5. The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to the server.

[1732] server

[1733] Receiving and analyzing data

[1734] 1. The server receives biometric information, location information, and emotional state sent from the device and analyzes it in real time.

[1735] The analysis uses outlier detection algorithms, risk prediction models, and sentiment analysis algorithms.

[1736] Example: If the user's body temperature exceeds 38 degrees, it is determined that there is a risk of heatstroke and an alert is sent.

[1737] Alert Instructions

[1738] 2. Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1739] Notification function

[1740] 3. The server will automatically notify the user's emergency contacts and appropriate authorities in the event of an emergency.

[1741] For example, if a child enters an area where they may be at risk of sexual assault, their parents and the appropriate authorities will be notified with their location.

[1742] Specific examples

[1743] Preventing heatstroke

[1744] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1745] 2. The server receives this information and determines that there is a risk of heatstroke.

[1746] 3. An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink fluids."

[1747] 4. The server notifies the emergency contact of the situation and, if necessary, notifies a medical institution.

[1748] Elderly people wandering

[1749] 1. The device collects GPS data and detects unusual movement patterns.

[1750] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1751] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1752] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1753] Emotional state anomaly detection

[1754] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1755] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[1756] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1757] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1758] In this way, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[1759] The processing flow will be explained below.

[1760] Step 1:

[1761] The user wears the smartwatch and enters user information (age, gender, emergency contact information, etc.) through a smartphone app.

[1762] The user enters the required information into the smartphone app.

[1763] The app will pair with your smartwatch.

[1764] Step 2:

[1765] The terminal transmits the user information to the server.

[1766] The smartphone app calls an API that sends data to the server via the device.

[1767] Step 3:

[1768] Based on the information received by the server, the various sensors are initialized and monitoring begins.

[1769] The server sets appropriate sensor settings based on information such as the user's age, gender, and range of activities.

[1770] The server sends the setting information to the terminal.

[1771] Step 4:

[1772] The device will begin measuring your body temperature, heart rate, humidity, and GPS location in real time.

[1773] Built-in sensors collect data.

[1774] Data is collected at regular intervals and stored in the device's memory.

[1775] Step 5:

[1776] The terminal transmits the collected data to the server.

[1777] The terminal sends the collected data to the server at regular intervals.

[1778] Step 6:

[1779] It determines whether the server is within normal range and sends an alert to the terminal if an abnormality is detected.

[1780] The server analyzes the received data and generates an alert indication if it is outside the normal range.

[1781] Step 7:

[1782] The device will send an alert if an abnormality is detected.

[1783] The device will play a warning message aloud and, in some cases, will also vibrate or display a notification.

[1784] Step 8:

[1785] The terminal uses an emotion engine to analyze the user's emotions.

[1786] The device analyzes the user's voice and facial expressions in real time using an emotion engine.

[1787] If the emotional state exceeds a certain threshold, it will be marked as abnormal.

[1788] Step 9:

[1789] The device transmits the analyzed emotion data to the server.

[1790] The device calls an API that sends emotion engine data to the server.

[1791] Step 10:

[1792] The server performs comprehensive data analysis, including emotional state.

[1793] The server runs an algorithm that integrates and analyzes biometric information, location information, and emotional state.

[1794] Step 11:

[1795] The server detects anomalies based on the emotional state and sends an alert instruction to the terminal.

[1796] The server detects the abnormal emotional state and sends an alert instruction to the terminal if necessary.

[1797] Step 12:

[1798] The device will send out an alert when an abnormality in emotional state is detected.

[1799] The device will warn you with a voice message saying, "Stress is increasing. We recommend taking a break."

[1800] Step 13:

[1801] If the device enters a dangerous area, it will automatically call a parent or guardian and send the user's current location and emotional state.

[1802] Your device will send GPS data and emotional state to your emergency contacts via SMS and app notifications.

[1803] Step 14:

[1804] If the server detects an elderly person wandering off, it will automatically call their parents or the appropriate authorities.

[1805] The server detects unusual movement patterns and initiates the process of notifying emergency contacts and appropriate authorities.

[1806] Step 15:

[1807] The device continuously transmits the user's current location to the server in real time.

[1808] The device sends GPS data to the server at set intervals.

[1809] Step 16:

[1810] The device records the surroundings using the built-in camera and sends it to the server.

[1811] The device collects images using the camera module and uploads them to the server.

[1812] Example 2

[1813] 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."

[1814] In recent years, there has been a demand for technology that can monitor a user's health and safety in real time and respond quickly when an abnormality occurs. However, conventional technology has only monitored a user's biometric information and location information, and no system has taken into account fluctuations in emotional state or the surrounding environment. Furthermore, mechanisms for providing appropriate instructions to the user even when an abnormality is detected have been insufficient. Therefore, the present invention aims to solve these problems and provide a system that comprehensively monitors a user's health, safety, and emotional state and responds appropriately and quickly when an abnormality is detected.

[1815] 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.

[1816] In this invention, the server includes means for measuring the user's biometric information, means for acquiring the user's location information, means for recognizing the user's emotional state, means for transmitting the acquired biometric information and location information to the server, means for analyzing the acquired biometric information, location information and emotional state, means for issuing an alert if an abnormality is detected based on the analysis, and means for automatically notifying the user's emergency contacts and relevant authorities.

[1817] This allows for comprehensive monitoring of a user's health, safety, and emotional state, and allows for appropriate and prompt alerts and notifications to be sent if any abnormalities are detected.

[1818] The "means for measuring the user's biological information" refers to a device or system for measuring the user's physiological data such as body temperature, heart rate, etc.

[1819] "Means for acquiring user location information" refers to a device or system for identifying the user's current location using a GPS module or other location identification technology.

[1820] The "means for recognizing the user's emotional state" is a device or system that analyzes the user's tone of voice and facial expression to determine the user's emotional state at that time.

[1821] The "means for transmitting acquired biometric information and location information to a server" refers to a device or system that includes communication technologies such as Wi-Fi or Bluetooth that are used to transmit measured data to a server in real time.

[1822] The "means for analyzing acquired biometric information, location information, and emotional state" refers to a device or system that includes an algorithm or program that analyzes the received data and evaluates health status or abnormalities.

[1823] The "means for issuing an alert when an abnormality is detected based on the analysis" refers to a device or system for issuing an audio or visual warning to the user when an abnormality is detected from the analysis results.

[1824] "Means for automatically notifying the user's emergency contacts and appropriate authorities" refers to a device or system that automatically notifies the user's designated contacts and appropriate authorities in the event of an emergency.

[1825] The "means for sending appropriate instructions to the terminal based on the analysis results" refers to a device or system that allows the server to send necessary instructions and information to the user's terminal based on the analysis results.

[1826] "Means for monitoring the user's surrounding environment, detecting abnormal environmental changes, and issuing an alert" refers to a device or system for monitoring the user's surrounding environment and issuing a corresponding warning if an abnormality is detected.

[1827] The AI ​​monitoring smartwatch system of this invention comprehensively monitors the user's health, location, and emotional state, and responds quickly when an abnormality is detected. The system consists of the following main components:

[1828] System configuration

[1829] The system consists of the following main components:

[1830] 1. Device (smartwatch worn by the user)

[1831] 2. Server (a remote server that collects and analyzes data)

[1832] 3. Your emergency contacts and authorities (who will receive notifications)

[1833] Device (smartwatch)

[1834] Measurement of biological information

[1835] The device is equipped with built-in sensors that measure the user's body temperature and heart rate. Specifically, a heart rate sensor and a body temperature sensor are used. This allows the device to constantly monitor the user's body temperature and heart rate, and the measurement data is updated every 15 seconds.

[1836] Obtaining location information

[1837] The device is equipped with a GPS module that acquires the user's current location in real time. Even when the user is moving, the GPS module updates the location information every 10 seconds and sends the acquired data to the server.

[1838] Recognition of emotional states

[1839] The device is equipped with an emotion engine that analyzes the user's tone of voice and facial expressions to recognize their emotional state. For example, when a user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[1840] Sending alerts

[1841] If an abnormality is detected, the device will issue an audio or visual alert. For example, if the user enters a dangerous area, an audio warning will sound saying, "It's dangerous, please leave."

[1842] Communication Function

[1843] The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the collected biometric information, location information, and emotional state to a server, allowing for real-time data communication.

[1844] server

[1845] Receiving and analyzing data

[1846] The server receives biometric data, location data, and emotional state transmitted from the device and analyzes them in real time using outlier detection algorithms, risk prediction models, and emotion analysis algorithms.

[1847] Alert Instructions

[1848] If the server detects an abnormality based on the analysis results, it will send an alert to the device. For example, if the user's body temperature exceeds 38 degrees, it will determine that there is a risk of heatstroke and send an alert to the device.

[1849] Notification function

[1850] The server automatically notifies the user's emergency contacts and the appropriate authorities in the event of an emergency. For example, if a child enters an area where there is a risk of sexual assault, the server notifies parents and the appropriate authorities with their location.

[1851] Specific examples

[1852] Preventing heatstroke

[1853] 1. The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1854] 2. The server receives this information and determines that there is a risk of heatstroke.

[1855] 3. The device will receive a voice warning saying, "Your temperature is too high. Please drink fluids."

[1856] 4. The device sends an alert to the user, and the server notifies emergency contacts of the situation and, if necessary, medical institutions.

[1857] Elderly people wandering

[1858] 1. The device collects GPS data and detects unusual movement patterns.

[1859] 2. The server analyzes this information and determines that there is a high possibility of wandering.

[1860] 3. The server automatically calls emergency contacts and authorities and shares the user's current location.

[1861] 4. The device records the surroundings using the built-in camera and sends it to the server.

[1862] Emotional state anomaly detection

[1863] 1. The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1864] 2. The server receives the emotion engine data and determines the abnormal emotion state.

[1865] 3. The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1866] 4. The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1867] Prompt Sentence Examples

[1868] "Write a program that analyzes the user's biometric information, location information, and emotional state received from the smartwatch, and sends appropriate alerts and notifies emergency contacts if an abnormality is detected."

[1869] As described above, the system of the present invention can constantly monitor the user's health condition, location information, and emotional state, quickly detect abnormalities, and issue necessary alerts and notifications.

[1870] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1871] Step 1:

[1872] The user wears the smartwatch

[1873] The user wears the smartwatch on their wrist. This activates the device's sensors and starts data collection. The input is the user's wearing behavior, and the output is the sensor activation status.

[1874] Step 2:

[1875] The device measures biometric information

[1876] The heart rate sensor and body temperature sensor installed on the device acquire the user's biometric information. Specifically, the heart rate sensor measures the user's heart rate at a frequency of 15 times per second, and the body temperature sensor constantly monitors the user's body temperature. The input is the biometric information acquired from the user, and the output is the measurement data.

[1877] Step 3:

[1878] The device acquires location information

[1879] The device's GPS module obtains the user's current location in real time. The GPS module updates the location information every 10 seconds and records the data in its internal memory. The input is the user's location information, and the output is the GPS data.

[1880] Step 4:

[1881] The device recognizes your emotional state

[1882] The device's emotion engine analyzes the user's tone of voice and facial expressions. The microphone picks up the user's voice, and the camera captures a photo of the user's face. The emotion engine analyzes this data to determine the user's emotional state. The input is the user's voice and facial expression data, and the output is emotional state data.

[1883] Step 5:

[1884] The device sends the data to the server

[1885] The communication module installed in the device transmits the acquired biometric information, location information, and emotional state to a server. The data is sent to the server in real time at one-second intervals via Wi-Fi or Bluetooth. The input is the measured and acquired data, and the output is data communication packets sent to the server.

[1886] Step 6:

[1887] The server receives the data

[1888] The server receives biometric information, location information, and emotional state transmitted from the device. The received data is stored in an analytical database. The input is data communication packets from the device, and the output is recorded data in the database.

[1889] Step 7:

[1890] The server analyzes the data

[1891] The server analyzes the incoming data in real time. Anomaly detection algorithms, risk prediction models, and sentiment analysis algorithms are applied. For example, a body temperature above 38°C is considered abnormal. The input is the recorded data, and the output is the analysis results.

[1892] Step 8:

[1893] The server detects an anomaly

[1894] The server detects anomalies based on the analysis results. If an anomaly is detected, instructions are generated according to the nature of the anomaly. The input is the analysis results, and the output is response instructions.

[1895] Step 9:

[1896] The server sends the appropriate instructions to the device.

[1897] The server sends a response instruction to the device. For example, if the body temperature is too high, the server sends the instruction "Your body temperature is too high. Please drink water." The input is the response instruction, and the output is a data communication packet to the device.

[1898] Step 10:

[1899] The device sends an alert

[1900] The device issues audio and visual alerts based on instructions received from the server. For example, it may issue an audio alert saying, "Danger, please move away from here." The input is instruction data from the server, and the output is a warning alert to the user.

[1901] Step 11:

[1902] The server notifies emergency contacts and appropriate authorities

[1903] The server automatically notifies emergency contacts and relevant authorities in the event of an abnormality. For example, if a child enters a dangerous area, a notification is sent along with their location information. The input is the abnormality detection result and user information, and the output is notification data for emergency contacts and relevant authorities.

[1904] Through the above steps, the system can comprehensively monitor the user's health status, location information, and emotional state, quickly detect abnormalities, and provide necessary alerts and notifications.

[1905] (Application example 2)

[1906] 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."

[1907] In modern society, there is a need to appropriately monitor individuals' health, location, and emotional state and detect abnormalities in real time. However, current systems have difficulty integrating and analyzing these multiple information sources and taking prompt and appropriate action in emergencies. To ensure user safety, it is also important to reliably issue alerts and send notifications to relevant parties and emergency contacts when an abnormality is detected.

[1908] The identification process by the identification 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 means for measuring the user's biometric information, means for acquiring the user's location information, means for analyzing the acquired biometric information and location information, means for recognizing the user's emotional state, means for issuing an alert when an abnormality is detected based on the analysis and recognition, and means for automatically notifying the user's emergency contact and relevant authorities. This enables integrated monitoring of the user's biometric information, location information, and emotional state in real time, and enables rapid and appropriate response when an abnormality is detected.

[1909] "Biometric information" is data relating to the user's physical condition, such as body temperature, heart rate, and blood pressure.

[1910] "Location Information" means data about a user's current location obtained using GPS or other location-determining technology.

[1911] "Emotional state" is data related to the user's emotions that is obtained by analyzing the user's facial expression, tone of voice, speech content, and the like.

[1912] An "alert" is a notification issued to the user to warn or alert them when an abnormality is detected.

[1913] "Emergency Contact" is contact information for a person or organization that is registered in advance to automatically notify the user when an abnormality is detected.

[1914] "Relevant authorities" are public institutions or organizations that users can call for assistance in an emergency, such as police, fire departments, or medical institutions.

[1915] A "server" is a computer system that receives and analyzes a user's biometric information, location information, and emotional state, and issues alerts and notifications as necessary.

[1916] "Analysis" refers to the process of processing and judging data to evaluate the presence or absence of abnormalities and risks based on the acquired data.

[1917] "Monitoring" is the activity of continuously observing the user's condition and checking for any abnormalities.

[1918] "Notification" means sending a message or alert to inform interested parties about a particular situation.

[1919] To implement the present invention, the following major components are required:

[1920] 1. Device (smartwatch)

[1921] Biometric data measurement: The device has built-in sensors that measure the user's body temperature and heart rate. When the user wears the smartwatch, the heart rate sensor continuously measures the user's heart rate and updates the data every 15 seconds.

[1922] Location information acquisition: The device is equipped with a GPS module that acquires the user's current location in real time. The GPS module updates the location information every 10 seconds and sends it to the server.

[1923] Emotional state recognition: The device is equipped with an emotion engine that analyzes the user's facial expressions and tone of voice to recognize their emotional state. When the user speaks through the smartwatch, the emotion engine analyzes the tone of voice and content of speech to detect stress or excitement.

[1924] Alert generation: The device has the ability to generate audio alerts if an abnormality is detected. If the user enters a dangerous area, the device will warn the user by voice, saying, "It's dangerous, please leave this area."

[1925] Communication function: The device is equipped with a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit collected biometric information, location information, and emotional state to a server.

[1926] 2. Server

[1927] Data reception and analysis: The server receives biometric information, location information, and emotional state data sent from the device and analyzes it in real time. The analysis uses anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. For example, if a user's body temperature exceeds 38 degrees, the server determines that the user is at risk of heatstroke and sends an alert.

[1928] Alert instruction: Based on the analysis results, the server sends an instruction to the terminal to issue an alert if an abnormality is detected.

[1929] Notification function: The server automatically notifies the user's emergency contacts and the appropriate authorities in case of an emergency. For example, if a child enters an area where there is a risk of sexual assault, a notification will be sent to parents and the appropriate authorities along with their location.

[1930] Specific use cases include the following scenarios:

[1931] Preventing heatstroke:

[1932] The device measures the user's body temperature and detects a rise from 37.5 to 38 degrees.

[1933] The server receives this information and determines that there is a risk of heatstroke.

[1934] An instruction to send an alert is sent to the device, and a voice warning is given saying, "Your body temperature is too high. Please drink plenty of fluids."

[1935] The server notifies emergency contacts of the situation and, if necessary, medical institutions.

[1936] Elderly Wandering:

[1937] The device collects GPS data and detects unusual movement patterns.

[1938] The server analyzes this information and determines whether there is a high probability of wandering.

[1939] The server automatically calls emergency contacts and authorities and shares the user's current location.

[1940] The device records the surroundings using the built-in camera and sends it to the server.

[1941] Emotional State Anomaly Detection:

[1942] The device analyzes the user's tone of voice and facial expressions to detect signs of stress or anxiety.

[1943] A server receives the emotion engine data and determines abnormal emotional states.

[1944] The server automatically calls emergency contacts and shares the user's current location and emotional state.

[1945] The device will issue a corresponding audio alert and provide the user with relaxation suggestions.

[1946] The recommended hardware and software for implementing this invention include a GPS module, a heart rate sensor, a body temperature sensor, an emotion recognition engine, and a communication module (Wi-Fi, Bluetooth, cellular communication). The analysis algorithm and notification system are implemented on the server side. Specific software includes a Python program, a Python package for the GPS module, and a requests library for sending HTTP requests.

[1947] Example prompt for a generative AI model:

[1948] "I would like to develop a security guardian app. The application will monitor the user's heart rate, body temperature, location, and emotional state, and if an abnormality is detected, it will send out an alert and notify registered contacts and the appropriate authorities. What are the specific features of this application and the technologies it will use?"

[1949] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1950] Step 1:

[1951] The device measures the user's biometric information. Specifically, the device's built-in sensors constantly monitor the user's body temperature and heart rate, obtaining the latest data every 15 seconds. The input is the user's body temperature and heart rate, and the output is the latest biometric data.

[1952] Step 2:

[1953] The device obtains the user's location information. The built-in GPS module checks the current location every 10 seconds and sends the new location information to the server. It requires GPS data as input and the current location as output.

[1954] Step 3:

[1955] The device recognizes the user's emotional state. The emotion engine installed in the device analyzes the user's tone of voice and facial expressions to determine their emotional state. Voice data spoken by the user is input, and emotional state data is obtained as output.

[1956] Step 4:

[1957] The device uses a communication module (Wi-Fi, Bluetooth, cellular communication) to transmit the biometric information, location information, and emotional state acquired by the device to the server. The inputs are biometric information, location information, and emotional state data, and the output is a successful transmission to the server.

[1958] Step 5:

[1959] The server receives biometric information, location information, and emotional state sent from the device. The input is various data sent from the device, and the output is the received data ready for analysis.

[1960] Step 6:

[1961] The server analyzes the received data in real time using anomaly detection algorithms, risk prediction models, and emotion analysis algorithms. The inputs are the received biometric data, location data, and emotional state, and the output is the anomaly detection results.

[1962] Step 7:

[1963] If the server detects an abnormality, it sends an instruction to send an alert to the terminal. The input is the analysis result, and the output is an instruction to send an alert to the terminal.

[1964] Step 8:

[1965] If the server determines that the anomaly is serious, it automatically notifies the user's emergency contacts and the appropriate authorities. The inputs are the anomaly detection results and the user's contact information, and the output is the completion of sending the notification message.

[1966] Step 9:

[1967] When the terminal receives an instruction to send an alert from the server, it sends an audio alert. The input is an instruction from the server, and the output is the sending of an audio alert.

[1968] 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.

[1969] 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.

[1970] 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 robot 414.

[1971] 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.

[1972] 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.

[1973] 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.

[1974] 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).

[1975] 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.

[1976] 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."

[1977] 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.

[1978] 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).

[1979] 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.

[1980] 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.

[1981] 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.

[1982] 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.

[1983] 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.

[1984] 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.

[1985] 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.

[1986] 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.

[1987] 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.

[1988] 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.

[1989] The following is further disclosed regarding the above embodiment.

[1990] (Claim 1)

[1991] means for measuring biometric information of a user;

[1992] A means for acquiring user location information;

[1993] means for analyzing the acquired biometric information and location information;

[1994] means for issuing an alert when an abnormality is detected based on the analysis;

[1995] A means of automatically notifying the user's emergency contacts and appropriate authorities;

[1996] A system including:

[1997] (Claim 2)

[1998] 2. The system according to claim 1, further comprising means for transmitting the measured biometric information and location information to a server.

[1999] (Claim 3)

[2000] 2. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting abnormal environmental fluctuations, and issuing an alert.

[2001] "Example 1"

[2002] (Claim 1)

[2003] means for measuring biometric information of a user;

[2004] A means for acquiring user location information;

[2005] means for analyzing the acquired biometric information and location information;

[2006] means including a predictive model for detecting outliers in real time;

[2007] means for issuing an alert when an abnormality is detected based on the analysis;

[2008] means for sending an alert instruction to the terminal;

[2009] A means of automatically notifying the user's emergency contacts and appropriate authorities;

[2010] A system including:

[2011] (Claim 2)

[2012] 2. The system according to claim 1, further comprising means for transmitting the measured biometric information and location information to a server.

[2013] (Claim 3)

[2014] 2. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting abnormal environmental fluctuations, and issuing an alert.

[2015] "Application Example 1"

[2016] (Claim 1)

[2017] means for measuring biometric information of a user;

[2018] A means for acquiring user location information;

[2019] means for analyzing the acquired biometric information and location information;

[2020] means for issuing an alert when an abnormality is detected based on the analysis;

[2021] A means of automatically notifying the user's emergency contacts and appropriate authorities;

[2022] A means for predicting future risks based on biometric and location information;

[2023] A means of sending an alert to an administrator when an abnormality is detected;

[2024] A system including:

[2025] (Claim 2)

[2026] 10. The system of claim 1, further comprising means for transmitting the measured biometric information and location information to a remote server.

[2027] (Claim 3)

[2028] 2. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting abnormal environmental fluctuations, and issuing an alert.

[2029] "Example 2: Combining Emotion Engines"

[2030] (Claim 1)

[2031] means for measuring biometric information of a user;

[2032] A means for acquiring user location information;

[2033] means for recognizing the emotional state of a user;

[2034] means for transmitting the acquired biometric information and location information to a server;

[2035] means for analyzing the acquired biometric information, location information, and emotional state;

[2036] means for issuing an alert when an abnormality is detected based on the analysis;

[2037] A means of automatically notifying the user's emergency contacts and appropriate authorities;

[2038] A system including:

[2039] (Claim 2)

[2040] 2. The system according to claim 1, further comprising means for sending appropriate instructions to the terminal based on the analysis result.

[2041] (Claim 3)

[2042] 2. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting abnormal environmental fluctuations, and issuing an alert.

[2043] "Application example 2 when combining emotion engines"

[2044] (Claim 1)

[2045] means for measuring biometric information of a user;

[2046] A means for acquiring user location information;

[2047] means for analyzing the acquired biometric information and location information;

[2048] means for recognizing the emotional state of a user;

[2049] means for issuing an alert when an abnormality is detected based on the analysis and recognition;

[2050] A means of automatically notifying the user's emergency contacts and appropriate authorities;

[2051] A system including:

[2052] (Claim 2)

[2053] 10. The system of claim 1, further comprising means for transmitting the measured biometric information, location information and emotional state to a server.

[2054] (Claim 3)

[2055] 10. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting abnormal environmental changes and changes in the user's emotional state, and issuing an alert. [Explanation of symbols]

[2056] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for measuring biometric information of a user; A means for acquiring user location information; means for analyzing the acquired biometric information and location information; means for issuing an alert when an abnormality is detected based on the analysis; A means of automatically notifying the user's emergency contacts and appropriate authorities; A system including:

2. 2. The system according to claim 1, further comprising means for transmitting the measured biometric information and location information to a server.

3. 2. The system according to claim 1, further comprising means for monitoring the user's surrounding environment, detecting an abnormal environmental change, and issuing an alert.

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