System

Abstract

A system is provided.SOLUTION: A system for monitoring a health condition of an elderly person or a person in need of care in real time, comprising: data collecting means for measuring heart rate, blood pressure, body temperature, and location information; terminal means for displaying data acquired from the data collecting means via a user interface; server means for transmitting data from the terminal means to a cloud environment and detecting an abnormal value; and notification means for notifying a user of an abnormal value detected by the server means.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] As our society ages, there is a growing need for real-time monitoring of the health status of many elderly people and those in need of care, and for prompt responses. However, existing smartwatches and various medical devices are difficult for elderly people to operate, and they also require inconvenient charging and daily wear. Furthermore, these devices lack the functionality to immediately notify appropriate personnel when they detect an abnormality, making it difficult to respond quickly in emergencies. [Means for solving the problem]

[0005] The present invention provides a system that monitors the health status of elderly people or those requiring care in real time and immediately notifies them if an abnormality is detected. The system includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, and a server means for transmitting data to a cloud environment and detecting abnormal values. Abnormal values ​​detected by the server means are immediately notified to the user via a notification means. The system also allows users to select a wristband-type or necklace-type device, and can send an SOS alert in an emergency using an emergency notification button. Furthermore, the system has an AI-based data analysis function, which can detect abnormal values ​​and perform health checks. Voice recognition technology enables voice communication between the user and the device owner, enabling real-time understanding of health status and prompt response.

[0006] The "data collection means" is a device for measuring the heart rate, blood pressure, body temperature, and location information of elderly people and people in need of care.

[0007] "Terminal means" refers to a device or software application for displaying data acquired from the data collection means via a user interface.

[0008] The "server means" refers to a device or software that manages data sent from the terminal means in a cloud environment and has an analysis system and a database management system for detecting abnormal values.

[0009] The "notification means" is a device or software function for immediately notifying the user of an abnormal value detected by the server means.

[0010] A "wristband- or necklace-shaped device" is a wearable device for measuring heart rate, blood pressure, body temperature, and location information, designed to be easily worn daily by elderly people and people requiring care.

[0011] An "emergency notification button" is a switch that is installed on a device and that a user can press in an emergency to immediately send an SOS alert to the terminal means and server means.

[0012] The "AI data analysis function" is an artificial intelligence algorithm installed in the server means, which analyzes collected health data, detects abnormal values, and performs health checkups.

[0013] "Voice recognition technology" is a technology that analyzes and understands the voices of users when they converse with device users (elderly people or people who require care). [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] This invention provides a system for real-time health monitoring of elderly people or people requiring care. This system acquires heart rate, blood pressure, body temperature, and location information, analyzes the information on the cloud to detect abnormalities, and immediately notifies users if an abnormality is detected. A specific embodiment of the system is described below.

[0036] System configuration

[0037] 1. Device (Means of Data Collection):

[0038] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0039] 2. Terminal means:

[0040] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected.

[0041] 3. Server means:

[0042] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[0043] 4. Means of notification:

[0044] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[0045] Description of the embodiment

[0046] Health Data Collection and Transmission

[0047] Device:

[0048] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[0049] server:

[0050] The smartphone receives the data and sends it over the internet to a cloud server, where it is encrypted to ensure privacy.

[0051] Data analysis and notification

[0052] server:

[0053] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time and detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[0054] server:

[0055] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[0056] User:

[0057] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[0058] Emergency response

[0059] Device:

[0060] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[0061] server:

[0062] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (e.g., the user, a close relative, a care facility, etc.) containing location information and details of the emergency situation.

[0063] User:

[0064] When an alert notification is received, the parent immediately opens the app to check the parent's location and emergency situation, and if necessary, takes action such as calling an ambulance or rushing to the parent's side.

[0065] Specific examples

[0066] For example, let's say your parents spend the day at home.

[0067] Device:

[0068] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0069] server:

[0070] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[0071] User:

[0072] A push notification is sent to the smartphone, and the user checks the notification. The user learns that the parent's heart rate is abnormal, opens the app, checks the details, and, if necessary, contacts the parent and calls a medical institution or arranges for an ambulance.

[0073] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, and enables prompt notification and response when an abnormality is detected.

[0074] The processing flow will be explained below.

[0075] Step 1:

[0076] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[0077] Step 2:

[0078] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[0079] Step 3:

[0080] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[0081] Step 4:

[0082] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[0083] Step 5:

[0084] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[0085] Step 6:

[0086] Server: When an anomaly is detected, the server immediately generates a notification and sends a push notification to the user's smartphone app.

[0087] Step 7:

[0088] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[0089] Step 8:

[0090] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[0091] Step 9:

[0092] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[0093] Step 10:

[0094] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[0095] Step 11:

[0096] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[0097] In this way, the entire system is designed to manage the health status of the elderly and people in need of care in real time through a series of processing steps, and to respond quickly to abnormalities and emergencies.

[0098] Example 1

[0099] 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."

[0100] Currently, there are limited means to accurately monitor the health status of the elderly and people requiring care in real time, making it difficult to respond quickly when abnormalities occur. Furthermore, the lack of rapid communication methods in emergencies increases the risk. Therefore, there is a need for a system that enables real-time monitoring of health data and immediate response in the event of an abnormality.

[0101] 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.

[0102] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a means for notifying a user of an abnormal value detected by the server means, and a means for sending a warning message to the user in real time when an abnormal value is detected. This makes it possible to constantly monitor the health status of elderly people and people requiring care, and to quickly notify the user when an abnormality is detected and take appropriate action.

[0103] "Data collection means" are devices that measure heart rate, blood pressure, body temperature, and location information.

[0104] The "terminal means" is a device that displays data acquired from the data collection means via a user interface and transmits the data to the cloud environment.

[0105] The "server means" is a device that is placed in a cloud environment, receives data sent from the terminal means, and detects abnormal values.

[0106] The "notification means" is a device that notifies the user of abnormal values ​​detected by the server means.

[0107] "Real-time" is a concept that indicates that data collection and analysis occur almost immediately, with very little delay.

[0108] An "abnormal value" is a value that indicates that the measured heart rate, blood pressure, body temperature, and location information is outside the normal range.

[0109] A "warning message" is a notification that is immediately sent to the user when an abnormal value is detected, and includes content that calls for attention.

[0110] "User" refers to the elderly or people in need of care whose health condition is being monitored, or the relatives or caregivers who monitor their condition.

[0111] This invention provides a system that monitors the health status of elderly people or people requiring care in real time and immediately notifies them if an abnormality occurs. The system is realized with the following four hardware and software configurations.

[0112] Device (data collection method)

[0113] Terminal: This system uses a wristband- or necklace-shaped wearable device worn by the elderly or those in need of care. This device is equipped with a heart rate sensor, blood pressure monitor, thermometer, and GPS module, and has the ability to continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button for emergencies, which can be pressed to immediately send an emergency alert.

[0114] Dedicated app (terminal means)

[0115] Device: A dedicated application is provided to be installed on the user's smartphone or tablet. This application acquires data from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[0116] Cloud server (server means and notification means)

[0117] Server: A server system deployed in a cloud environment is used. The server receives data sent from the terminal means, encrypts it, and stores it. The stored data is analyzed using an AI algorithm, and if an abnormality is detected, it immediately serves as a notification means. For example, it has the function of detecting an abnormally high heart rate or low blood pressure and notifying the user.

[0118] Emergency notification function

[0119] Device and Server: The device worn by the parent has an SOS button that can be used in an emergency. When pressed, an emergency signal is sent to the smartphone. The smartphone immediately forwards this emergency signal to the cloud server, which then sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility). The alert includes location information and details of the emergency situation.

[0120] Specific examples

[0121] For example, let's say a parent is at home and their heart rate suddenly spikes above 130. In this case, the system will:

[0122] Terminal: The device detects the heart rate 130 and transmits it to the smartphone via Bluetooth.

[0123] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[0124] Device: The dedicated app sends a push notification to the user, who can then view the notification and check detailed information (heart rate graph, location information, etc.) within the app. If necessary, the app can contact a parent and arrange for medical attention or an ambulance.

[0125] Example prompts for generative AI models

[0126] Example prompts to be input to the generative AI model:

[0127] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[0128] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[0129] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, quickly notifying them when an abnormality is detected, and supporting appropriate responses.

[0130] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0131] Step 1: Data collection

[0132] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time. It receives physical data (heart rate, blood pressure, body temperature) and location data (GPS information) as input. This data is temporarily stored in the device's memory. Specifically, the heart rate sensor detects heartbeats every second and records them in the device.

[0133] Step 2: Send data

[0134] Terminal: Data is sent from the wearable device to the smartphone via Bluetooth. As input, it receives the data collected by the device. As output, it temporarily stores the received data on the smartphone. Specifically, a dedicated smartphone app establishes a Bluetooth connection and reads the data from the device's memory.

[0135] Step 3: Encrypt and transfer data

[0136] Terminal: The smartphone encrypts the received data using AES (Advanced Encryption Standard). As input, it receives the raw data received from the device. As output, it transfers the encrypted data to the cloud server. Specifically, a dedicated app sends the data to the cloud server via an internet connection.

[0137] Step 4: Data storage and analysis

[0138] Server: The cloud server stores the received data in a database and analyzes it using AI algorithms. Encrypted data is received as input and decrypted. The output is the data stored in the database and the analysis results. Specifically, the data is decrypted on the server, and the AI ​​algorithm performs moving average filtering and threshold detection to detect abnormal values ​​in heart rate and blood pressure.

[0139] Step 5: Detect outliers

[0140] Server: The AI ​​algorithm analyzes the data and detects abnormal patterns. As input, it processes raw data and historical data stored in a database. As output, it generates anomalies and detailed information if any are detected. Specifically, if the heart rate is above 120, it is flagged as abnormal.

[0141] Step 6: Sending anomaly notifications

[0142] Server: If an anomaly is detected, the server sends an anomaly notification to the device. It processes the anomaly detection results and user information as input. It generates an anomaly notification as output and sends a push notification to the smartphone. Specifically, the server's notification function sends a message to the user's smartphone.

[0143] Step 7: Check for abnormal notifications

[0144] User: Receives and checks the abnormality notification using a dedicated smartphone app. The input is the abnormality notification sent from the server. The output is the notification message. Specifically, the app displays a push notification, and the user taps the notification to check the details.

[0145] Step 8: Emergency Safety Check

[0146] Device: When the parent presses the emergency SOS button, an emergency signal is sent to the smartphone. As input, the device receives the SOS button press event. As output, it forwards the emergency signal to the smartphone. The specific operation is that the device sends the emergency signal to the smartphone via Bluetooth.

[0147] Server: The smartphone receives the emergency signal and sends it to the cloud server. As input, the server receives the emergency signal from the smartphone. As output, the server sends a notification to the emergency contacts.

[0148] Example prompts for generative AI models

[0149] Example prompts to be input to the generative AI model:

[0150] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[0151] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[0152] (Application example 1)

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

[0154] There is a need for a system that can monitor the health status of the elderly and people requiring care in real time and provide support to help them live safely. However, current systems sometimes do not detect or notify abnormalities quickly, which risks delaying emergency responses. In addition, there is a need for methods to effectively utilize AI and cloud technology to improve the accuracy of data analysis and notifications.

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

[0156] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, and a means for sending a push notification or message to an emergency contact when an abnormality is detected, thereby enabling highly accurate data analysis and rapid notification of an abnormality.

[0157] "Elderly" refers to adults whose physical or cognitive functions are likely to decline with age.

[0158] "People who require care" refers to people who require support from a third party in their daily lives.

[0159] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[0160] "Real-time" refers to the measurement and processing of information in synchronization with real time.

[0161] "Heart rate" refers to the number of times the heart beats in a given period of time.

[0162] "Blood pressure" refers to the pressure that blood in the arteries exerts on the walls of blood vessels.

[0163] "Body temperature" refers to the internal temperature of the human body.

[0164] "Location information" refers to data associated with a specific location or coordinates.

[0165] "Data Collection Instrument" refers to a device or combination of devices used to measure heart rate, blood pressure, body temperature, and location information.

[0166] "Terminal means" refers to a device or a combination of devices for displaying data acquired from the data collection means via a user interface.

[0167] "Cloud environment" refers to a network system in which computer resources are provided via the Internet.

[0168] "Server Means" refers to a device or combination of devices that receives data from Terminal Means and stores and analyzes it.

[0169] "Notification means" refers to a device or combination of devices that notifies the user when an abnormal value is detected.

[0170] This invention is a system that monitors the health status of elderly people and those who require care in real time and quickly notifies them when an abnormality is detected.

[0171] System configuration

[0172] 1. Device (Means of Data Collection):

[0173] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0174] 2. Terminal means:

[0175] It is a dedicated application installed on the user's smartphone or smart glasses. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[0176] 3. Server means:

[0177] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[0178] 4. Means of notification:

[0179] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[0180] Health Data Collection and Transmission

[0181] Device:

[0182] The device continuously measures heart rate, blood pressure, body temperature and location information in real time and transmits it to a terminal via Bluetooth, allowing the user to view the data on the terminal, which is then transferred to a cloud server via the Internet.

[0183] server:

[0184] The server encrypts the received data and stores it in a privacy-ensured manner. It analyzes the data in real time, and if an abnormal pattern is detected, it automatically alerts the user via a notification method.

[0185] Data analysis and notification

[0186] server:

[0187] The cloud server uses AI algorithms (such as TensorFlow or PyTorch) to analyze the data, detecting abnormal patterns in real time, such as abnormally high heart rate or low blood pressure.

[0188] Notification method:

[0189] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[0190] User:

[0191] Users can check their health status and receive alerts in real time on their smartphones or smart glasses. If an abnormality occurs, they can view detailed information (e.g., heart rate graphs, location information, etc.) within the app and take appropriate action.

[0192] Emergency response

[0193] Device:

[0194] When the emergency SOS button mounted on the device is pressed, an emergency signal is immediately transmitted to the terminal means.

[0195] server:

[0196] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts, including health status and location information.

[0197] User:

[0198] When users receive an alert notification, they can immediately open the app to view more information and take action, such as calling an ambulance, if necessary.

[0199] Specific examples

[0200] For example, when an elderly person is spending the day at home, the device will periodically measure their heart rate. However, if the heart rate suddenly rises above 120, the device will send this data to the terminal means. The smartphone will then forward the received data to a cloud server, where the server's AI algorithm will detect an abnormal heart rate and send an abnormality alert. The user will then receive a push notification on their smartphone, allowing them to check the notification for more information and take appropriate action.

[0201] Prompt Sentence Examples

[0202] "If an elderly person's heart rate suddenly increases during daily activities, please explain what steps the system takes to detect the abnormality and notify the user. Please also explain in detail the necessary hardware and software, as well as the data flow."

[0203] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0204] Step 1:

[0205] Devices collect data

[0206] The device is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care, and continuously measures heart rate, blood pressure, body temperature, and location information.

[0207] Input: Heart rate, blood pressure, temperature, location

[0208] Output: Measured data

[0209] How it works: Sensors measure the user's heart rate, blood pressure, body temperature, and location in real time.

[0210] Step 2:

[0211] Send data to the device

[0212] The device transmits data via Bluetooth to a terminal means, which may be a user's smartphone or smart glasses.

[0213] Input: Heart rate, blood pressure, temperature, and location information sent from the device

[0214] Output: Data transfer to device

[0215] Specific operation: The device sends data to the terminal via Bluetooth. The terminal's dedicated app receives and displays the data.

[0216] Step 3:

[0217] Send data to the cloud

[0218] The terminal means transmits the received data to a cloud server via the Internet.

[0219] Input: Heart rate, blood pressure, temperature, and location information stored on the device

[0220] Output: Data transfer to cloud server

[0221] How it works: The app sends data to a cloud server over the internet, where it is encrypted during transmission.

[0222] Step 4:

[0223] Data storage and analysis on cloud servers

[0224] The cloud server stores the received data and analyzes it in real time using AI algorithms (e.g., using TensorFlow or PyTorch).

[0225] Input: Transmitted heart rate, blood pressure, temperature, and location information

[0226] Output: Anomaly detection results, analysis data

[0227] How it works: After receiving the data, the server encrypts and stores it. AI algorithms analyze the data and detect abnormal patterns.

[0228] Step 5:

[0229] Notification when an abnormality is detected

[0230] If the cloud server detects an abnormality using the AI ​​algorithm, it will send a warning to the user via notification methods. In the event of an emergency, it will send a push notification, SMS, or email to the emergency contacts you have set.

[0231] Input: Anomaly detection results

[0232] Output: Push notification, SMS, email

[0233] Specific behavior: When the server detects an abnormality, it immediately sends an alert to the user and emergency contacts using notification methods.

[0234] Step 6:

[0235] User confirmation and response

[0236] After receiving the notification, the user can check the details using a smartphone or smart glasses app and take appropriate action (e.g., call an ambulance) if necessary.

[0237] Input: Push notification, More information

[0238] Output: Appropriate response action

[0239] Specific actions: After receiving the notification, the user opens the app to check the details and take action such as calling an ambulance in case of an emergency.

[0240] In the above processing steps, the server, terminal, and user work together to monitor the health status of elderly people and those who require care, thereby ensuring their safety.

[0241] 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.

[0242] The present invention provides a system that monitors the health status of elderly people or people requiring care in real time, and further combines it with an emotion engine that recognizes the user's emotions. This system not only detects abnormalities in health data, but also grasps the user's emotional state, enabling more appropriate responses and support. Specific embodiments of the system are described below.

[0243] System configuration

[0244] 1. Device (Means of Data Collection):

[0245] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0246] 2. Terminal means:

[0247] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[0248] 3. Server means:

[0249] It is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user via the notification means. It also has the function of sending appropriate support messages based on the user's emotional information recognized by the emotion engine.

[0250] 4. Means of notification:

[0251] This is a system that instantly notifies users of abnormalities detected by the server and emotional states recognized by the emotion engine. It supports various notification methods such as push notification, SMS, and email.

[0252] Description of the embodiment

[0253] Health Data Collection and Transmission

[0254] Device:

[0255] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[0256] server:

[0257] The smartphone transfers the received data to a cloud server via the internet, where it is encrypted and sent securely.

[0258] Data analysis and notification

[0259] server:

[0260] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time and detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[0261] server:

[0262] When an anomaly is detected, the server immediately notifies the terminal device of the anomaly data and the detection result, which triggers the terminal device to send a push notification to the user to warn them.

[0263] User:

[0264] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[0265] Recognizing and Responding to Emotions

[0266] Device:

[0267] When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state, which is then sent to a cloud server.

[0268] server:

[0269] The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[0270] Notification method:

[0271] Appropriate support messages are sent to the user's smartphone, allowing the user to receive advice and support that suits their emotional state.

[0272] Emergency response

[0273] Device:

[0274] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[0275] server:

[0276] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (such as the user, a relative, or a care facility), which includes location information and details of the emergency situation.

[0277] User:

[0278] Receive an alert notification, open the app to check your parent's current location and emergency situation, and if necessary, call an ambulance or rush to your parent's side.

[0279] Specific examples

[0280] For example, let's say your parents spend the day at home.

[0281] Device:

[0282] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0283] server:

[0284] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[0285] User:

[0286] A push notification is sent to the smartphone, and the user checks it. Learning that their parent's heart rate is abnormal, they open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend contacting a medical institution to ensure your parent's safety."

[0287] In this way, the system of the present invention can not only monitor the health status of the elderly and people in need of care, but also take into account the user's emotional state and provide appropriate support and advice.

[0288] The processing flow will be explained below.

[0289] Step 1:

[0290] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[0291] Step 2:

[0292] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[0293] Step 3:

[0294] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[0295] Step 4:

[0296] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[0297] Step 5:

[0298] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[0299] Step 6:

[0300] Server: When an abnormal value is detected, the server immediately notifies the device of the abnormal data and the detection result, which triggers a push notification to alert the user.

[0301] Step 7:

[0302] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[0303] Step 8:

[0304] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[0305] Step 9:

[0306] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[0307] Step 10:

[0308] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[0309] Step 11:

[0310] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[0311] Step 12:

[0312] User: Using a smartphone app, the user inputs their emotions through voice or text. For example, they input something like, "I feel a bit tired today."

[0313] Step 13:

[0314] Terminal: The emotion engine analyzes the user's voice and text input to identify the user's emotional state (e.g., stress, fatigue, relief, etc.).

[0315] Step 14:

[0316] Server: The cloud server receives and analyzes the emotion data. For example, if a user enters "I'm tired," the server determines that the user is feeling stressed.

[0317] Step 15:

[0318] Server: The server generates an appropriate support message based on the emotional information recognized by the emotion engine, such as "Take a deep breath to relax."

[0319] Step 16:

[0320] Server: Sends a support message to the user's smartphone app. The user receives the support message on their smartphone and responds.

[0321] Step 17:

[0322] User: When a user receives a support message, they can follow the advice and practice relaxation and stress management techniques.

[0323] This series of processing steps enables real-time monitoring of the health status of elderly people and those in need of care, and rapid response to abnormalities or emergencies, while also providing appropriate support and advice that takes into account the user's emotional state.

[0324] Example 2

[0325] 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."

[0326] Conventional health monitoring systems for the elderly and those requiring care only capture physiological data such as heart rate, blood pressure, and body temperature, but are unable to consider the user's emotional state. As a result, health management systems lack consideration for the user's psychological aspects, making it difficult to provide appropriate support. In addition, the lack of rapid response measures in emergencies makes it difficult to ensure the user's safety.

[0327] 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.

[0328] In this invention, the server includes data collection means for measuring heart rate, blood pressure, body temperature, and location information, terminal means for displaying data acquired from the data collection means via a user interface and analyzing the user's voice and text input to recognize emotions, server means for transmitting data from the terminal means to a cloud environment, detecting abnormal values, analyzing emotional data, and generating a support message, and notification means for notifying the user of a support message based on the abnormal values ​​detected by the server means and the results of the emotion analysis. This allows for comprehensive support of the user in terms of both health data and emotional state, and makes it possible to respond quickly in emergencies.

[0329] The term "elderly" generally refers to people aged 65 or older, including those with special health care and nursing needs.

[0330] "People who need care" refers to people who need assistance from others in their daily lives due to a disability, illness, or other reason.

[0331] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[0332] "Real-time monitoring" refers to constantly or frequently updating data and keeping the results observable almost immediately.

[0333] "Emotional state" refers to the state of mind a user feels in response to a particular situation or event, and is analyzed through voice or text input.

[0334] "Data collection means" includes devices or equipment used to measure heart rate, blood pressure, body temperature, and location information.

[0335] "Terminal means" refers to a computing device for displaying data acquired from the data collection means via a user interface and for recognizing emotions by analyzing a user's voice and text input.

[0336] A "cloud environment" is a remote server provided over the Internet where data is stored, analyzed, and processed.

[0337] The term "server means" refers to a series of systems that receive and store data, detect outliers, analyze emotion data, and generate support messages in a cloud environment.

[0338] The "notification means" refers to a means for notifying the user of an alert or a support message based on the abnormal values ​​and emotion analysis results detected by the server means.

[0339] "Wristband-shaped" refers to a device that is worn on the wrist.

[0340] "Necklace-shaped" refers to a device that is shaped to be worn around the neck.

[0341] "Emergency Notification Button" means a device that includes a button that can be operated to immediately alert someone in an emergency.

[0342] A "help message" is a message containing advice or information that is generated by server means and sent to a user.

[0343] This invention is a system that monitors the health status of elderly people or people requiring care in real time and recognizes the user's emotions. This system not only detects abnormalities in health data but also grasps the user's emotional state, enabling more appropriate responses and support.

[0344] System configuration

[0345] Data collection methods

[0346] The data collection method is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care. The device is equipped with sensors to measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to send an immediate emergency alert in case of an emergency.

[0347] Terminal means

[0348] The terminal means is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[0349] Server Means

[0350] The server means is a server system deployed on the cloud. It receives and stores data sent from the terminal means and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has the function of sending an appropriate support message based on the user's emotional information recognized by the emotion engine.

[0351] Notification means

[0352] The notification method is a mechanism for instantly notifying users of abnormalities detected by the server method and emotional states recognized by the emotion engine. Various notification methods are supported, including push notifications, SMS, and email.

[0353] Specific processing of the program

[0354] Health data collection

[0355] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time and transmits this data to the user's smartphone via Bluetooth.

[0356] Sending data to the cloud server

[0357] Server: The smartphone transfers the received data to the cloud server via the Internet. The data is encrypted and sent securely.

[0358] Data analysis

[0359] Server: The cloud server analyzes the received data using AI algorithms to detect abnormal patterns such as abnormally high heart rate or low blood pressure.

[0360] Notification when an abnormality is detected

[0361] Server: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result.

[0362] Device: The device triggers a push notification to alert the user.

[0363] Emotional Data Recognition and Analysis

[0364] On the device: When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state.

[0365] Server: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[0366] Emergency call function

[0367] Device: When a parent presses the emergency SOS button on the device, an emergency signal is immediately sent to the smartphone.

[0368] Server: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts (user, next of kin, care facility, etc.) containing location information and details of the emergency situation.

[0369] User: Receives an alert notification, opens the app to check their parent's current location and emergency situation, and if necessary, calls an ambulance or rushes to their parent's side.

[0370] Specific examples

[0371] For example, let's say your parents spend the day at home.

[0372] Device: The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0373] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[0374] User: A push notification is sent to the smartphone, and the user checks the notification. They learn that their parent's heart rate is abnormal and open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend that you contact a medical institution to ensure your parent's safety."

[0375] Prompt Sentence Examples

[0376] "How do I respond if my parent's heart rate is abnormally high?"

[0377] By inputting this prompt into the AI ​​model, it can provide prompt and appropriate advice when a parent's heart rate reaches 120 BPM.The system not only monitors the health of the elderly and those in need of care, but also takes into account the user's emotional state to provide appropriate assistance and advice.

[0378] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0379] Specific flow of program processing

[0380] Step 1: Collect data

[0381] Device:

[0382] Input: Wearable device measures heart rate, blood pressure, temperature, and location in real time.

[0383] Output: Measured data (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[0384] How it works: A wristband or necklace-style device continuously monitors the parent's physical condition and periodically updates the data, which is then sent via Bluetooth to the parent's smartphone.

[0385] Step 2: Sending data

[0386] server:

[0387] Input: Data received by smartphone (heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[0388] Output: Encrypted data transferred to the cloud server

[0389] How it works: The smartphone receives data via Bluetooth and sends it to a cloud server over the Internet. The data is encrypted using the SSL / TLS protocol to ensure secure communication.

[0390] Step 3: Analyze the data

[0391] server:

[0392] Input: Encrypted data sent to the cloud server (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5°C, location information)

[0393] Output: Analysis results (e.g., evaluation of normal or abnormal conditions)

[0394] How it works: AI algorithms on a cloud server analyze the incoming data and compare it with historical data and known health standards. They evaluate heart rate, blood pressure, and other data in real time to check for abnormalities. For example, they check to see if your heart rate is above 100 BPM.

[0395] Step 4: Notification when an anomaly is detected

[0396] server:

[0397] Input: Analysis result (e.g. heart rate exceeds 120 BPM)

[0398] Output: Anomaly detection message (e.g., a warning that the heart rate is too high)

[0399] Specific operation: When the cloud server detects an abnormality, it immediately generates an abnormality detection message and sends the data to notify the smartphone.

[0400] Device:

[0401] Input: Anomaly detection message

[0402] Output: Push notification (e.g., abnormal heart rate warning)

[0403] Specific operation: The smartphone receives the anomaly detection message from the server and sends a push notification to the user. The user checks the notification and opens the app to check the details.

[0404] Step 5: Collect and analyze emotion data

[0405] Device:

[0406] Input: User voice or text input (e.g., "I've been worried about my parents' health lately.")

[0407] Output: Analyzed emotion data (e.g., stress state)

[0408] How it works: When a user inputs their emotions into the app via voice or text, the emotion engine analyzes the input data and recognizes the user's emotional state.

[0409] server:

[0410] Input: Analyzed emotion data (e.g., stress state)

[0411] Output: Supportive message (e.g., "Take a deep breath and relax")

[0412] Specific operation: The cloud server analyzes the emotional data and generates appropriate support messages as needed. The generated messages are then sent to the smartphone.

[0413] Step 6: Emergency Call Function

[0414] Device:

[0415] Input: Parent presses Emergency SOS button on device

[0416] Output: Emergency signal (e.g. emergency alert with parent's location)

[0417] How it works: When a parent presses the emergency SOS button on the device, an emergency signal containing their location is sent to their smartphone.

[0418] server:

[0419] Input: Received emergency signal (parent location)

[0420] Output: Emergency alert (e.g., notification to designated emergency contacts)

[0421] What it does: When the server receives an emergency signal, it sends an alert to pre-defined emergency contacts, including the parent's location and details of the emergency situation.

[0422] User:

[0423] Input: Received emergency alert (parent location and emergency status)

[0424] Output: Appropriate response (e.g., calling an ambulance or rushing to the parents' side)

[0425] What happens: The user sees the alert, opens the app, checks the parent's current location and emergency situation, and, if necessary, dispatches an ambulance or rushes to the parent's side.

[0426] Prompt Sentence Examples

[0427] "How do I respond if my parent's heart rate is abnormally high?"

[0428] (Application example 2)

[0429] 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."

[0430] There is a need not only to monitor the health status of the elderly and people requiring care in real time, but also to provide a safe and active environment in public places such as stores. Furthermore, conventional technologies are limited to monitoring abnormal health conditions and do not provide support or responses based on the user's emotional state. Therefore, the realization of a system that can reduce the user's psychological burden and provide appropriate support is a challenge.

[0431] 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 a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a notification means for notifying the user of the abnormal value detected by the server means, an emotion analysis means for analyzing emotion information, and an assistance message generation means for generating an assistance message based on the analysis results. This makes it possible to monitor the health and emotional states of elderly people and people requiring care in real time, and to immediately notify and provide an appropriate assistance message if an abnormality is detected.

[0432] "Elderly people" are people whose physical functions have declined with age and who require a certain level of support and consideration in their daily lives.

[0433] "People who need nursing care" are those who have difficulty living independently in their daily lives due to illness or disability, and who require support and assistance from others.

[0434] "Health" refers to the health and functioning of the body, including heart rate, blood pressure, temperature, and location.

[0435] "Real-time monitoring" means acquiring data continuously and instantaneously and understanding the status immediately.

[0436] "Data collection means" refers to devices or systems for measuring and obtaining heart rate, blood pressure, body temperature, and location information.

[0437] "User interface" refers to a display means that allows a user to visually check data via a terminal means.

[0438] "Terminal means" refers to a device or system for displaying data acquired from the data collection means and transferring it to a cloud environment.

[0439] A "cloud environment" is an infrastructure consisting of remote servers for sending, receiving, and processing data over the Internet.

[0440] An "outlier" is data that deviates significantly from normal health conditions.

[0441] "Server means" refers to a device or system that receives and analyzes data on a server located in a cloud environment.

[0442] The "notification means" refers to a device or system for notifying the user of information from the server means.

[0443] "Emotion analysis means" refers to a device or system that analyzes a user's voice or text input and recognizes their emotional state.

[0444] The "support message generating means" refers to a device or system for generating an appropriate support message for the user based on the analyzed emotional state.

[0445] System Configuration

[0446] The system of the present invention aims to monitor the health and emotional states of elderly people and people who require care in real time and provide appropriate support so that they can move around safely in physical stores. The specific components of the system and their functions are described below.

[0447] Device (data collection method)

[0448] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It contains sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0449] Terminal means

[0450] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also incorporates an emotion analysis function that analyzes the user's voice and text input to recognize emotions.

[0451] Server Means

[0452] This is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has a support message generation means that generates an appropriate support message based on the user's emotional information recognized by the emotion analysis means.

[0453] System Operation

[0454] Health Data Collection and Transmission

[0455] Terminal means: Devices worn by elderly people and those requiring care measure heart rate, blood pressure, body temperature, and location information in real time. This data is sent via Bluetooth to the terminal means (smartphone or tablet).

[0456] Server means: The data received by the terminal means is transferred to the cloud server via the Internet. The data is encrypted at the server and transmitted securely.

[0457] Data analysis and notification

[0458] Server means: The data received by the cloud server is analyzed by an AI algorithm. The data is evaluated in real time to detect abnormalities such as heart rate and blood pressure.

[0459] Notification means: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result. The terminal means then sends a warning to the user via push notification.

[0460] Example: If a user's heart rate rises abnormally while shopping in a physical store, data from the device is sent to a server via the terminal means. The server detects the abnormality and sends a notification to the store staff.

[0461] Sentiment analysis and support messages

[0462] Terminal means: When a user inputs voice or text into the app, the emotion analysis means analyzes the input and recognizes the user's emotional state. This emotional state is then sent to the cloud server.

[0463] Server means: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, a message such as "Take a deep breath to relax" is generated.

[0464] Example: If a user says "I'm tired," the emotion analysis means analyzes this, and generates a support message such as "I recommend you move to a rest area," and notifies the user.

[0465] Emergency response

[0466] Terminal means: When a user presses the emergency SOS button mounted on the device, an emergency signal is immediately transmitted to the terminal means.

[0467] Server Method: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts, including location information and details of the emergency situation.

[0468] Example: If a user collapses in a store, pressing the SOS button will send an emergency signal from the terminal means to the server, which will then send a notification to the emergency contact.

[0469] Prompt Sentence Examples

[0470] “When a customer says, ‘I’m tired,’ generate an appropriate support message.

[0471] Prompt: A customer says, "I'm tired." Generate a supportive message.

[0472] In this way, the system of the present invention provides an environment where elderly people and people who need care can safely and securely engage in activities in physical stores.

[0473] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0474] Step 1:

[0475] The data collection means measures heart rate, blood pressure, body temperature, and location information in real time, which is then captured by the device and transmitted via Bluetooth to the terminal means (smartphone or tablet).

[0476] Input: Real-time heart rate, blood pressure, temperature, and location.

[0477] Output: Health data transmitted to terminal means.

[0478] Specific operation: The wearable device uses sensors to measure the user's health data and transmits it to a smartphone via a Bluetooth communication module.

[0479] Step 2:

[0480] The terminal means transfers the health data received from the data collection means to the cloud server, where the health data is stored and encrypted.

[0481] Input: Health data received by the terminal means.

[0482] Output: Health data sent to cloud server.

[0483] Specific operation: The dedicated application encrypts the data received via Bluetooth using HTTPS and sends it to the cloud server.

[0484] Step 3:

[0485] The health data received by the server is analyzed using AI algorithms, detecting abnormalities in heart rate and blood pressure and generating abnormality alerts as necessary.

[0486] Input: Health data stored on a cloud server.

[0487] Output: Anomaly alert.

[0488] How it works: The server runs AI algorithms to analyze health data stored in a database and detect abnormalities. If an abnormality is detected, an alert is generated and sent to the notification system.

[0489] Step 4:

[0490] The server notifies the generated abnormality alert to the terminal means, and the terminal means issues a warning to the user via push notification.

[0491] Input: Anomaly alert sent from the server.

[0492] Output: The push notification sent to the user.

[0493] Specific operation: The server uses the notification system to send an abnormality alert to the cloud messaging service, which is then received by the terminal means and presented to the user as a push notification.

[0494] Step 5:

[0495] The terminal means receives the user's voice input or text input, which the emotion analysis means analyzes, recognizes the user's emotional state, and transmits the data to the cloud server.

[0496] Input: User's voice or text input.

[0497] Output: Parsed emotion data.

[0498] How it works: When a user inputs voice or text into the app, the sentiment analysis engine runs internally and generates sentiment analysis results, which are then sent to a cloud server.

[0499] Step 6:

[0500] Based on the received emotion data, the server uses an AI model to generate an appropriate support message, which is then sent to the device via a cloud messaging service.

[0501] Input: Parsed emotion data.

[0502] Output: The generated assistance message.

[0503] Specific operation: The server analyzes the emotion data and generates a support message using an AI model, which is then sent to the device via a cloud messaging service and presented to the user.

[0504] Step 7:

[0505] The terminal means monitors the state of the emergency SOS button mounted on the device, and when an emergency signal is sent, immediately transmits the emergency signal to the cloud server.

[0506] Input: SOS button press information.

[0507] Output: Emergency signal sent to cloud server.

[0508] Specific operation: When the device detects that the SOS button has been pressed, it sends that information to the terminal means, which then immediately sends an emergency signal to the cloud server, which then initiates an emergency response.

[0509] Step 8:

[0510] The server receives the emergency signal and sends an alert and location information to the emergency contacts you have set up, informing them of your current location and health status, encouraging a prompt response.

[0511] Input: Emergency signal and location information sent from the terminal means.

[0512] Output: Alert and location sent to emergency contacts.

[0513] Specific operation: When the server receives an emergency signal, it sends an alert via SMS or email to pre-set emergency contacts (family members, nursing homes, medical institutions) and notifies them of the user's location and current health condition.

[0514] This process allows elderly people and those in need of care to enjoy safe shopping in physical stores, while also monitoring their health and emotional state in real time and providing appropriate support.

[0515] 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.

[0516] 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.

[0517] 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.

[0518] [Second embodiment]

[0519] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0520] 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.

[0521] 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).

[0522] 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.

[0523] 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.

[0524] 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).

[0525] 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.

[0526] 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.

[0527] 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.

[0528] 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.

[0529] In the smart glasses 214, 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.

[0530] 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."

[0531] This invention provides a system for real-time health monitoring of the elderly or people requiring care. This system acquires heart rate, blood pressure, body temperature, and location information, analyzes the information on the cloud to detect abnormalities, and immediately notifies the user if an abnormality is detected. Specific embodiments of the system are described below.

[0532] System configuration

[0533] 1. Device (Means of Data Collection):

[0534] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0535] 2. Terminal means:

[0536] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected.

[0537] 3. Server means:

[0538] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[0539] 4. Means of notification:

[0540] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[0541] Description of the embodiment

[0542] Health Data Collection and Transmission

[0543] Device:

[0544] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[0545] server:

[0546] The smartphone receives the data and sends it over the internet to a cloud server, where it is encrypted to ensure privacy.

[0547] Data analysis and notification

[0548] server:

[0549] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time to detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[0550] server:

[0551] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[0552] User:

[0553] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[0554] Emergency response

[0555] Device:

[0556] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[0557] server:

[0558] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (e.g., the user, a close relative, a care facility, etc.) containing location information and details of the emergency situation.

[0559] User:

[0560] When an alert notification is received, the parent immediately opens the app to check the parent's location and emergency situation, and if necessary, takes action such as calling an ambulance or rushing to the parent's side.

[0561] Specific examples

[0562] For example, let's say your parents spend the day at home.

[0563] Device:

[0564] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0565] server:

[0566] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[0567] User:

[0568] A push notification is sent to the smartphone, and the user checks the notification. The user learns that the parent's heart rate is abnormal, opens the app, checks the details, and, if necessary, contacts the parent and calls a medical institution or arranges for an ambulance.

[0569] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, and enables prompt notification and response when an abnormality is detected.

[0570] The processing flow will be explained below.

[0571] Step 1:

[0572] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[0573] Step 2:

[0574] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[0575] Step 3:

[0576] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[0577] Step 4:

[0578] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[0579] Step 5:

[0580] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[0581] Step 6:

[0582] Server: When an anomaly is detected, the server immediately generates a notification and sends a push notification to the user's smartphone app.

[0583] Step 7:

[0584] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[0585] Step 8:

[0586] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[0587] Step 9:

[0588] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[0589] Step 10:

[0590] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[0591] Step 11:

[0592] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[0593] In this way, the entire system is designed to manage the health status of the elderly and people in need of care in real time through a series of processing steps, and to respond quickly to abnormalities and emergencies.

[0594] Example 1

[0595] 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."

[0596] Currently, there are limited means to accurately monitor the health status of the elderly and people requiring care in real time, making it difficult to respond quickly when abnormalities occur. Furthermore, the lack of rapid communication methods in emergencies increases the risk. Therefore, there is a need for a system that enables real-time monitoring of health data and immediate response in the event of an abnormality.

[0597] 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.

[0598] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a means for notifying a user of an abnormal value detected by the server means, and a means for sending a warning message to the user in real time when an abnormal value is detected. This makes it possible to constantly monitor the health status of elderly people and people requiring care, and to quickly notify the user when an abnormality is detected and take appropriate action.

[0599] "Data collection means" are devices that measure heart rate, blood pressure, body temperature, and location information.

[0600] The "terminal means" is a device that displays data acquired from the data collection means via a user interface and transmits the data to the cloud environment.

[0601] The "server means" is a device that is placed in a cloud environment, receives data sent from the terminal means, and detects abnormal values.

[0602] The "notification means" is a device that notifies the user of abnormal values ​​detected by the server means.

[0603] "Real-time" is a concept that indicates that data collection and analysis occur almost immediately, with very little delay.

[0604] An "abnormal value" is a value that indicates that the measured heart rate, blood pressure, body temperature, and location information is outside the normal range.

[0605] A "warning message" is a notification that is immediately sent to the user when an abnormal value is detected, and includes content that calls for attention.

[0606] "User" refers to the elderly or people in need of care whose health condition is being monitored, or the relatives or caregivers who monitor their condition.

[0607] This invention provides a system that monitors the health status of elderly people or people requiring care in real time and immediately notifies them if an abnormality occurs. The system is realized with the following four hardware and software configurations.

[0608] Device (data collection method)

[0609] Terminal: This system uses a wristband- or necklace-shaped wearable device worn by the elderly or those in need of care. This device is equipped with a heart rate sensor, blood pressure monitor, thermometer, and GPS module, and has the ability to continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button for emergencies, which can be pressed to immediately send an emergency alert.

[0610] Dedicated app (terminal means)

[0611] Device: A dedicated application is provided to be installed on the user's smartphone or tablet. This application acquires data from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[0612] Cloud server (server means and notification means)

[0613] Server: A server system deployed in a cloud environment is used. The server receives data sent from the terminal means, encrypts it, and stores it. The stored data is analyzed using an AI algorithm, and if an abnormality is detected, it immediately serves as a notification means. For example, it has the function of detecting an abnormally high heart rate or low blood pressure and notifying the user.

[0614] Emergency notification function

[0615] Device and Server: The device worn by the parent has an SOS button that can be used in an emergency. When pressed, an emergency signal is sent to the smartphone. The smartphone immediately forwards this emergency signal to the cloud server, which then sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility). The alert includes location information and details of the emergency situation.

[0616] Specific examples

[0617] For example, let's say a parent is at home and their heart rate suddenly spikes above 130. In this case, the system will:

[0618] Terminal: The device detects the heart rate 130 and transmits it to the smartphone via Bluetooth.

[0619] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[0620] Device: The dedicated app sends a push notification to the user, who can then view the notification and check detailed information (heart rate graph, location information, etc.) within the app. If necessary, the app can contact a parent and arrange for medical attention or an ambulance.

[0621] Example prompts for generative AI models

[0622] Example prompts to be fed to the generative AI model:

[0623] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[0624] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[0625] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, quickly notifying them when an abnormality is detected, and supporting appropriate responses.

[0626] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0627] Step 1: Data collection

[0628] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time. It receives physical data (heart rate, blood pressure, body temperature) and location data (GPS information) as input. This data is temporarily stored in the device's memory. Specifically, the heart rate sensor detects heartbeats every second and records them in the device.

[0629] Step 2: Send data

[0630] Terminal: Data is sent from the wearable device to the smartphone via Bluetooth. As input, it receives the data collected by the device. As output, it temporarily stores the received data on the smartphone. Specifically, a dedicated smartphone app establishes a Bluetooth connection and reads the data from the device's memory.

[0631] Step 3: Encrypt and transfer data

[0632] Terminal: The smartphone encrypts the received data using AES (Advanced Encryption Standard). As input, it receives the raw data received from the device. As output, it transfers the encrypted data to the cloud server. Specifically, a dedicated app sends the data to the cloud server via an internet connection.

[0633] Step 4: Data storage and analysis

[0634] Server: The cloud server stores the received data in a database and analyzes it using AI algorithms. Encrypted data is received as input and decrypted. The output is the data stored in the database and the analysis results. Specifically, the data is decrypted on the server, and the AI ​​algorithm performs moving average filtering and threshold detection to detect abnormal values ​​in heart rate and blood pressure.

[0635] Step 5: Detect outliers

[0636] Server: The AI ​​algorithm analyzes the data and detects abnormal patterns. As input, it processes raw data and historical data stored in a database. As output, it generates anomalies and detailed information if any are detected. Specifically, if the heart rate is above 120, it is flagged as abnormal.

[0637] Step 6: Sending anomaly notifications

[0638] Server: If an anomaly is detected, the server sends an anomaly notification to the device. It processes the anomaly detection results and user information as input. It generates an anomaly notification as output and sends a push notification to the smartphone. Specifically, the server's notification function sends a message to the user's smartphone.

[0639] Step 7: Check for abnormal notifications

[0640] User: Receives and checks the abnormality notification using a dedicated smartphone app. The input is the abnormality notification sent from the server. The output is the notification message. Specifically, the app displays a push notification, and the user taps the notification to check the details.

[0641] Step 8: Emergency Safety Check

[0642] Device: When the parent presses the emergency SOS button, an emergency signal is sent to the smartphone. As input, the device receives the SOS button press event. As output, it forwards the emergency signal to the smartphone. The specific operation is that the device sends the emergency signal to the smartphone via Bluetooth.

[0643] Server: The smartphone receives the emergency signal and sends it to the cloud server. As input, the server receives the emergency signal from the smartphone. As output, the server sends a notification to the emergency contacts.

[0644] Example prompts for generative AI models

[0645] Example prompts to be input to the generative AI model:

[0646] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[0647] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[0648] (Application example 1)

[0649] 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."

[0650] There is a need for a system that can monitor the health status of the elderly and people requiring care in real time and provide support to help them live safely. However, current systems sometimes do not detect or notify abnormalities quickly, which risks delaying emergency responses. In addition, there is a need for methods to effectively utilize AI and cloud technology to improve the accuracy of data analysis and notifications.

[0651] 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.

[0652] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, and a means for sending a push notification or message to an emergency contact when an abnormality is detected, thereby enabling highly accurate data analysis and rapid notification of an abnormality.

[0653] "Elderly" refers to adults whose physical or cognitive functions are likely to decline with age.

[0654] "People who require care" refers to people who require support from a third party in their daily lives.

[0655] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[0656] "Real-time" refers to the measurement and processing of information in synchronization with real time.

[0657] "Heart rate" refers to the number of times the heart beats in a given period of time.

[0658] "Blood pressure" refers to the pressure that blood in the arteries exerts on the walls of blood vessels.

[0659] "Body temperature" refers to the internal temperature of the human body.

[0660] "Location information" refers to data associated with a specific location or coordinates.

[0661] "Data Collection Instrument" refers to a device or combination of devices used to measure heart rate, blood pressure, body temperature, and location information.

[0662] "Terminal means" refers to a device or a combination of devices for displaying data acquired from the data collection means via a user interface.

[0663] "Cloud environment" refers to a network system in which computer resources are provided via the Internet.

[0664] "Server Means" refers to a device or combination of devices that receives data from Terminal Means and stores and analyzes it.

[0665] "Notification means" refers to a device or combination of devices that notifies the user when an abnormal value is detected.

[0666] This invention is a system that monitors the health status of elderly people and those who require care in real time and quickly notifies them when an abnormality is detected.

[0667] System configuration

[0668] 1. Device (Means of Data Collection):

[0669] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0670] 2. Terminal means:

[0671] It is a dedicated application installed on the user's smartphone or smart glasses. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[0672] 3. Server means:

[0673] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[0674] 4. Means of notification:

[0675] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[0676] Health Data Collection and Transmission

[0677] Device:

[0678] The device continuously measures heart rate, blood pressure, body temperature and location information in real time and transmits it to a terminal via Bluetooth, allowing the user to view the data on the terminal, which is then transferred to a cloud server via the Internet.

[0679] server:

[0680] The server encrypts the received data and stores it in a privacy-ensured manner. It analyzes the data in real time, and if an abnormal pattern is detected, it automatically alerts the user via a notification method.

[0681] Data analysis and notification

[0682] server:

[0683] The cloud server uses AI algorithms (such as TensorFlow or PyTorch) to analyze the data, detecting abnormal patterns in real time, such as abnormally high heart rate or low blood pressure.

[0684] Notification method:

[0685] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[0686] User:

[0687] Users can check their health status and receive alerts in real time on their smartphones or smart glasses. If an abnormality occurs, they can view detailed information (e.g., heart rate graphs, location information, etc.) within the app and take appropriate action.

[0688] Emergency response

[0689] Device:

[0690] When the emergency SOS button mounted on the device is pressed, an emergency signal is immediately transmitted to the terminal means.

[0691] server:

[0692] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts, including health status and location information.

[0693] User:

[0694] When users receive an alert notification, they can immediately open the app to view more information and take action, such as calling an ambulance, if necessary.

[0695] Specific examples

[0696] For example, when an elderly person is spending the day at home, the device will periodically measure their heart rate. However, if the heart rate suddenly rises above 120, the device will send this data to the terminal means. The smartphone will then forward the received data to a cloud server, where the server's AI algorithm will detect an abnormal heart rate and send an abnormality alert. The user will then receive a push notification on their smartphone, allowing them to check the notification for more information and take appropriate action.

[0697] Prompt Sentence Examples

[0698] "If an elderly person's heart rate suddenly increases during daily activities, please explain what steps the system takes to detect the abnormality and notify the user. Please also explain in detail the necessary hardware and software, as well as the data flow."

[0699] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0700] Step 1:

[0701] Devices collect data

[0702] The device is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care, and continuously measures heart rate, blood pressure, body temperature, and location information.

[0703] Input: Heart rate, blood pressure, temperature, location

[0704] Output: Measured data

[0705] How it works: Sensors measure the user's heart rate, blood pressure, body temperature, and location in real time.

[0706] Step 2:

[0707] Send data to the device

[0708] The device transmits data via Bluetooth to a terminal means, which may be a user's smartphone or smart glasses.

[0709] Input: Heart rate, blood pressure, temperature, and location information sent from the device

[0710] Output: Data transfer to device

[0711] Specific operation: The device sends data to the terminal via Bluetooth. The terminal's dedicated app receives and displays the data.

[0712] Step 3:

[0713] Send data to the cloud

[0714] The terminal means transmits the received data to a cloud server via the Internet.

[0715] Input: Heart rate, blood pressure, temperature, and location information stored on the device

[0716] Output: Data transfer to cloud server

[0717] How it works: The app sends data to a cloud server over the internet, where it is encrypted during transmission.

[0718] Step 4:

[0719] Data storage and analysis on cloud servers

[0720] The cloud server stores the received data and analyzes it in real time using AI algorithms (e.g., using TensorFlow or PyTorch).

[0721] Input: Transmitted heart rate, blood pressure, temperature, and location information

[0722] Output: Anomaly detection results, analysis data

[0723] How it works: After receiving the data, the server encrypts and stores it. AI algorithms analyze the data and detect abnormal patterns.

[0724] Step 5:

[0725] Notification when an abnormality is detected

[0726] If the cloud server detects an abnormality using the AI ​​algorithm, it will send a warning to the user via notification methods. In the event of an emergency, it will send a push notification, SMS, or email to the emergency contacts you have set.

[0727] Input: Anomaly detection results

[0728] Output: Push notification, SMS, email

[0729] Specific behavior: When the server detects an abnormality, it immediately sends an alert to the user and emergency contacts using notification methods.

[0730] Step 6:

[0731] User confirmation and response

[0732] After receiving the notification, the user can check the details using a smartphone or smart glasses app and take appropriate action (e.g., call an ambulance) if necessary.

[0733] Input: Push notification, More information

[0734] Output: Appropriate response action

[0735] Specific actions: After receiving the notification, the user opens the app to check the details and take action such as calling an ambulance in case of an emergency.

[0736] In the above processing steps, the server, terminal, and user work together to monitor the health status of elderly people and those who require care, thereby ensuring their safety.

[0737] 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.

[0738] The present invention provides a system that monitors the health status of elderly people or people requiring care in real time, and further combines it with an emotion engine that recognizes the user's emotions. This system not only detects abnormalities in health data, but also grasps the user's emotional state, enabling more appropriate responses and support. Specific embodiments of the system are described below.

[0739] System configuration

[0740] 1. Device (Means of Data Collection):

[0741] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0742] 2. Terminal means:

[0743] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[0744] 3. Server means:

[0745] It is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user via the notification means. It also has the function of sending appropriate support messages based on the user's emotional information recognized by the emotion engine.

[0746] 4. Means of notification:

[0747] This is a system that instantly notifies users of abnormalities detected by the server and emotional states recognized by the emotion engine. It supports various notification methods such as push notification, SMS, and email.

[0748] Description of the embodiment

[0749] Health Data Collection and Transmission

[0750] Device:

[0751] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[0752] server:

[0753] The smartphone transfers the received data to a cloud server via the internet, where it is encrypted and sent securely.

[0754] Data analysis and notification

[0755] server:

[0756] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time and detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[0757] server:

[0758] When an anomaly is detected, the server immediately notifies the terminal device of the anomaly data and the detection result, which triggers the terminal device to send a push notification to the user to warn them.

[0759] User:

[0760] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[0761] Recognizing and Responding to Emotions

[0762] Device:

[0763] When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state, which is then sent to a cloud server.

[0764] server:

[0765] The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[0766] Notification method:

[0767] Appropriate support messages are sent to the user's smartphone, allowing the user to receive advice and support that suits their emotional state.

[0768] Emergency response

[0769] Device:

[0770] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[0771] server:

[0772] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (such as the user, a relative, or a care facility), which includes location information and details of the emergency situation.

[0773] User:

[0774] Receive an alert notification, open the app to check your parent's current location and emergency situation, and if necessary, call an ambulance or rush to your parent's side.

[0775] Specific examples

[0776] For example, let's say your parents spend the day at home.

[0777] Device:

[0778] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0779] server:

[0780] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[0781] User:

[0782] A push notification is sent to the smartphone, and the user checks it. Learning that their parent's heart rate is abnormal, they open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend contacting a medical institution to ensure your parent's safety."

[0783] In this way, the system of the present invention can not only monitor the health status of the elderly and people in need of care, but also take into account the user's emotional state and provide appropriate support and advice.

[0784] The processing flow will be explained below.

[0785] Step 1:

[0786] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[0787] Step 2:

[0788] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[0789] Step 3:

[0790] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[0791] Step 4:

[0792] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[0793] Step 5:

[0794] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[0795] Step 6:

[0796] Server: When an abnormal value is detected, the server immediately notifies the device of the abnormal data and the detection result, which triggers a push notification to alert the user.

[0797] Step 7:

[0798] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[0799] Step 8:

[0800] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[0801] Step 9:

[0802] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[0803] Step 10:

[0804] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[0805] Step 11:

[0806] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[0807] Step 12:

[0808] User: Using a smartphone app, the user inputs their emotions through voice or text. For example, they input something like, "I feel a bit tired today."

[0809] Step 13:

[0810] Terminal: The emotion engine analyzes the user's voice and text input to identify the user's emotional state (e.g., stress, fatigue, relief, etc.).

[0811] Step 14:

[0812] Server: The cloud server receives and analyzes the emotion data. For example, if a user enters "I'm tired," the server determines that the user is feeling stressed.

[0813] Step 15:

[0814] Server: The server generates an appropriate support message based on the emotional information recognized by the emotion engine, such as "Take a deep breath to relax."

[0815] Step 16:

[0816] Server: Sends a support message to the user's smartphone app. The user receives the support message on their smartphone and responds.

[0817] Step 17:

[0818] User: When a user receives a support message, they can follow the advice and practice relaxation and stress management techniques.

[0819] This series of processing steps enables real-time monitoring of the health status of elderly people and those in need of care, and rapid response to abnormalities or emergencies, while also providing appropriate support and advice that takes into account the user's emotional state.

[0820] Example 2

[0821] 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."

[0822] Conventional health monitoring systems for the elderly and those requiring care only capture physiological data such as heart rate, blood pressure, and body temperature, but are unable to consider the user's emotional state. As a result, health management systems lack consideration for the user's psychological aspects, making it difficult to provide appropriate support. In addition, the lack of rapid response measures in emergencies makes it difficult to ensure the user's safety.

[0823] 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.

[0824] In this invention, the server includes data collection means for measuring heart rate, blood pressure, body temperature, and location information, terminal means for displaying data acquired from the data collection means via a user interface and analyzing the user's voice and text input to recognize emotions, server means for transmitting data from the terminal means to a cloud environment, detecting abnormal values, analyzing emotional data, and generating a support message, and notification means for notifying the user of a support message based on the abnormal values ​​detected by the server means and the results of the emotion analysis. This allows for comprehensive support of the user in terms of both health data and emotional state, and makes it possible to respond quickly in emergencies.

[0825] The term "elderly" generally refers to people aged 65 or older, including those with special health care and nursing needs.

[0826] "People who need care" refers to people who need assistance from others in their daily lives due to a disability, illness, or other reason.

[0827] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[0828] "Real-time monitoring" refers to constantly or frequently updating data and keeping the results observable almost immediately.

[0829] "Emotional state" refers to the state of mind a user feels in response to a particular situation or event, and is analyzed through voice or text input.

[0830] "Data collection means" includes devices or equipment used to measure heart rate, blood pressure, body temperature, and location information.

[0831] "Terminal means" refers to a computing device for displaying data acquired from the data collection means via a user interface and for recognizing emotions by analyzing a user's voice and text input.

[0832] A "cloud environment" is a remote server provided over the Internet where data is stored, analyzed, and processed.

[0833] The term "server means" refers to a series of systems that receive and store data, detect outliers, analyze emotion data, and generate support messages in a cloud environment.

[0834] The "notification means" refers to a means for notifying the user of an alert or a support message based on the abnormal values ​​and emotion analysis results detected by the server means.

[0835] "Wristband-shaped" refers to a device that is worn on the wrist.

[0836] "Necklace-shaped" refers to a device that is shaped to be worn around the neck.

[0837] "Emergency Notification Button" means a device that includes a button that can be operated to immediately alert someone in an emergency.

[0838] A "help message" is a message containing advice or information that is generated by server means and sent to a user.

[0839] This invention is a system that monitors the health status of elderly people or people requiring care in real time and recognizes the user's emotions. This system not only detects abnormalities in health data but also grasps the user's emotional state, enabling more appropriate responses and support.

[0840] System configuration

[0841] Data collection methods

[0842] The data collection method is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care. The device is equipped with sensors to measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to send an immediate emergency alert in case of an emergency.

[0843] Terminal means

[0844] The terminal means is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[0845] Server Means

[0846] The server means is a server system deployed on the cloud. It receives and stores data sent from the terminal means and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has the function of sending an appropriate support message based on the user's emotional information recognized by the emotion engine.

[0847] Notification means

[0848] The notification method is a mechanism for instantly notifying users of abnormalities detected by the server method and emotional states recognized by the emotion engine. Various notification methods are supported, including push notifications, SMS, and email.

[0849] Specific processing of the program

[0850] Health data collection

[0851] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time and transmits this data to the user's smartphone via Bluetooth.

[0852] Sending data to the cloud server

[0853] Server: The smartphone transfers the received data to the cloud server via the Internet. The data is encrypted and sent securely.

[0854] Data analysis

[0855] Server: The cloud server analyzes the received data using AI algorithms to detect abnormal patterns such as abnormally high heart rate or low blood pressure.

[0856] Notification when an abnormality is detected

[0857] Server: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result.

[0858] Device: The device triggers a push notification to alert the user.

[0859] Emotional Data Recognition and Analysis

[0860] On the device: When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state.

[0861] Server: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[0862] Emergency call function

[0863] Device: When a parent presses the emergency SOS button on the device, an emergency signal is immediately sent to the smartphone.

[0864] Server: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts (user, next of kin, care facility, etc.) containing location information and details of the emergency situation.

[0865] User: Receives an alert notification, opens the app to check their parent's current location and emergency situation, and if necessary, calls an ambulance or rushes to their parent's side.

[0866] Specific examples

[0867] For example, let's say your parents spend the day at home.

[0868] Device: The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[0869] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[0870] User: A push notification is sent to the smartphone, and the user checks the notification. They learn that their parent's heart rate is abnormal and open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend that you contact a medical institution to ensure your parent's safety."

[0871] Prompt Sentence Examples

[0872] "How do I respond if my parent's heart rate is abnormally high?"

[0873] By inputting this prompt into the AI ​​model, it can provide prompt and appropriate advice when a parent's heart rate reaches 120 BPM.The system not only monitors the health of the elderly and those in need of care, but also takes into account the user's emotional state to provide appropriate assistance and advice.

[0874] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0875] Specific flow of program processing

[0876] Step 1: Collect data

[0877] Device:

[0878] Input: Wearable device measures heart rate, blood pressure, temperature, and location in real time.

[0879] Output: Measured data (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[0880] How it works: A wristband or necklace-style device continuously monitors the parent's physical condition and periodically updates the data, which is then sent via Bluetooth to the parent's smartphone.

[0881] Step 2: Sending data

[0882] server:

[0883] Input: Data received by smartphone (heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[0884] Output: Encrypted data transferred to the cloud server

[0885] How it works: The smartphone receives data via Bluetooth and sends it to a cloud server over the Internet. The data is encrypted using the SSL / TLS protocol to ensure secure communication.

[0886] Step 3: Analyze the data

[0887] server:

[0888] Input: Encrypted data sent to the cloud server (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5°C, location information)

[0889] Output: Analysis results (e.g., evaluation of normal or abnormal conditions)

[0890] How it works: AI algorithms on a cloud server analyze the incoming data and compare it with historical data and known health standards. They evaluate heart rate, blood pressure, and other data in real time to check for abnormalities. For example, they check to see if your heart rate is above 100 BPM.

[0891] Step 4: Notification when an anomaly is detected

[0892] server:

[0893] Input: Analysis result (e.g. heart rate exceeds 120 BPM)

[0894] Output: Anomaly detection message (e.g., a warning that the heart rate is too high)

[0895] Specific operation: When the cloud server detects an abnormality, it immediately generates an abnormality detection message and sends the data to notify the smartphone.

[0896] Device:

[0897] Input: Anomaly detection message

[0898] Output: Push notification (e.g., abnormal heart rate warning)

[0899] Specific operation: The smartphone receives the anomaly detection message from the server and sends a push notification to the user. The user checks the notification and opens the app to check the details.

[0900] Step 5: Collect and analyze emotion data

[0901] Device:

[0902] Input: User voice or text input (e.g., "I've been worried about my parents' health lately.")

[0903] Output: Analyzed emotion data (e.g., stress state)

[0904] How it works: When a user inputs their emotions into the app via voice or text, the emotion engine analyzes the input data and recognizes the user's emotional state.

[0905] server:

[0906] Input: Analyzed emotion data (e.g., stress state)

[0907] Output: Supportive message (e.g., "Take a deep breath and relax")

[0908] Specific operation: The cloud server analyzes the emotional data and generates appropriate support messages as needed. The generated messages are then sent to the smartphone.

[0909] Step 6: Emergency Call Function

[0910] Device:

[0911] Input: Parent presses Emergency SOS button on device

[0912] Output: Emergency signal (e.g. emergency alert with parent's location)

[0913] How it works: When a parent presses the emergency SOS button on the device, an emergency signal containing their location is sent to their smartphone.

[0914] server:

[0915] Input: Received emergency signal (parent location)

[0916] Output: Emergency alert (e.g., notification to designated emergency contacts)

[0917] What it does: When the server receives an emergency signal, it sends an alert to pre-defined emergency contacts, including the parent's location and details of the emergency situation.

[0918] User:

[0919] Input: Received emergency alert (parent location and emergency status)

[0920] Output: Appropriate response (e.g., calling an ambulance or rushing to the parents' side)

[0921] What happens: The user sees the alert, opens the app, checks the parent's current location and emergency situation, and, if necessary, dispatches an ambulance or rushes to the parent's side.

[0922] Prompt Sentence Examples

[0923] "How do I respond if my parent's heart rate is abnormally high?"

[0924] (Application example 2)

[0925] 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."

[0926] There is a need not only to monitor the health status of the elderly and people requiring care in real time, but also to provide a safe and active environment in public places such as stores. Furthermore, conventional technologies are limited to monitoring abnormal health conditions and do not provide support or responses based on the user's emotional state. Therefore, the realization of a system that can reduce the user's psychological burden and provide appropriate support is a challenge.

[0927] 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 a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a notification means for notifying the user of the abnormal value detected by the server means, an emotion analysis means for analyzing emotion information, and an assistance message generation means for generating an assistance message based on the analysis results. This makes it possible to monitor the health and emotional states of elderly people and people requiring care in real time, and to immediately notify and provide an appropriate assistance message if an abnormality is detected.

[0928] "Elderly people" are people whose physical functions have declined with age and who require a certain level of support and consideration in their daily lives.

[0929] "People who need nursing care" are those who have difficulty living independently in their daily lives due to illness or disability, and who require support and assistance from others.

[0930] "Health" refers to the health and functioning of the body, including heart rate, blood pressure, temperature, and location.

[0931] "Real-time monitoring" means acquiring data continuously and instantaneously and understanding the status immediately.

[0932] "Data collection means" refers to devices or systems for measuring and obtaining heart rate, blood pressure, body temperature, and location information.

[0933] "User interface" refers to a display means that allows a user to visually check data via a terminal means.

[0934] "Terminal means" refers to a device or system for displaying data acquired from the data collection means and transferring it to a cloud environment.

[0935] A "cloud environment" is an infrastructure consisting of remote servers for sending, receiving, and processing data over the Internet.

[0936] An "outlier" is data that deviates significantly from normal health conditions.

[0937] "Server means" refers to a device or system that receives and analyzes data on a server located in a cloud environment.

[0938] The "notification means" refers to a device or system for notifying the user of information from the server means.

[0939] "Emotion analysis means" refers to a device or system that analyzes a user's voice or text input and recognizes their emotional state.

[0940] The "support message generating means" refers to a device or system for generating an appropriate support message for the user based on the analyzed emotional state.

[0941] System Configuration

[0942] The system of the present invention aims to monitor the health and emotional states of elderly people and people who require care in real time and provide appropriate support so that they can move around safely in physical stores. The specific components of the system and their functions are described below.

[0943] Device (data collection method)

[0944] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It contains sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[0945] Terminal means

[0946] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also incorporates an emotion analysis function that analyzes the user's voice and text input to recognize emotions.

[0947] Server Means

[0948] This is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has a support message generation means that generates an appropriate support message based on the user's emotional information recognized by the emotion analysis means.

[0949] System Operation

[0950] Health Data Collection and Transmission

[0951] Terminal means: Devices worn by elderly people and those requiring care measure heart rate, blood pressure, body temperature, and location information in real time. This data is sent via Bluetooth to the terminal means (smartphone or tablet).

[0952] Server means: The data received by the terminal means is transferred to the cloud server via the Internet. The data is encrypted at the server and transmitted securely.

[0953] Data analysis and notification

[0954] Server means: The data received by the cloud server is analyzed by an AI algorithm. The data is evaluated in real time to detect abnormalities such as heart rate and blood pressure.

[0955] Notification means: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result. The terminal means then sends a warning to the user via push notification.

[0956] Example: If a user's heart rate rises abnormally while shopping in a physical store, data from the device is sent to a server via the terminal means. The server detects the abnormality and sends a notification to the store staff.

[0957] Sentiment analysis and support messages

[0958] Terminal means: When a user inputs voice or text into the app, the emotion analysis means analyzes the input and recognizes the user's emotional state. This emotional state is then sent to the cloud server.

[0959] Server means: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, a message such as "Take a deep breath to relax" is generated.

[0960] Example: If a user says "I'm tired," the emotion analysis means analyzes this, and generates a support message such as "I recommend you move to a rest area," and notifies the user.

[0961] Emergency response

[0962] Terminal means: When a user presses the emergency SOS button mounted on the device, an emergency signal is immediately transmitted to the terminal means.

[0963] Server Method: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts, including location information and details of the emergency situation.

[0964] Example: If a user collapses in a store, pressing the SOS button will send an emergency signal from the terminal means to the server, which will then send a notification to the emergency contact.

[0965] Prompt Sentence Examples

[0966] “When a customer says, ‘I’m tired,’ generate an appropriate support message.

[0967] Prompt: A customer says, "I'm tired." Generate a supportive message.

[0968] In this way, the system of the present invention provides an environment where elderly people and people who need care can safely and securely engage in activities in physical stores.

[0969] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0970] Step 1:

[0971] The data collection means measures heart rate, blood pressure, body temperature, and location information in real time, which is then captured by the device and transmitted via Bluetooth to the terminal means (smartphone or tablet).

[0972] Input: Real-time heart rate, blood pressure, temperature, and location.

[0973] Output: Health data transmitted to terminal means.

[0974] Specific operation: The wearable device uses sensors to measure the user's health data and transmits it to a smartphone via a Bluetooth communication module.

[0975] Step 2:

[0976] The terminal means transfers the health data received from the data collection means to the cloud server, where the health data is stored and encrypted.

[0977] Input: Health data received by the terminal means.

[0978] Output: Health data sent to cloud server.

[0979] Specific operation: The dedicated application encrypts the data received via Bluetooth using HTTPS and sends it to the cloud server.

[0980] Step 3:

[0981] The health data received by the server is analyzed using AI algorithms, detecting abnormalities in heart rate and blood pressure and generating abnormality alerts as necessary.

[0982] Input: Health data stored on a cloud server.

[0983] Output: Anomaly alert.

[0984] How it works: The server runs AI algorithms to analyze health data stored in a database and detect abnormalities. If an abnormality is detected, an alert is generated and sent to the notification system.

[0985] Step 4:

[0986] The server notifies the generated abnormality alert to the terminal means, and the terminal means issues a warning to the user via push notification.

[0987] Input: Anomaly alert sent from the server.

[0988] Output: The push notification sent to the user.

[0989] Specific operation: The server uses the notification system to send an abnormality alert to the cloud messaging service, which is then received by the terminal means and presented to the user as a push notification.

[0990] Step 5:

[0991] The terminal means receives the user's voice input or text input, which the emotion analysis means analyzes, recognizes the user's emotional state, and transmits the data to the cloud server.

[0992] Input: User's voice or text input.

[0993] Output: Parsed emotion data.

[0994] How it works: When a user inputs voice or text into the app, the sentiment analysis engine runs internally and generates sentiment analysis results, which are then sent to a cloud server.

[0995] Step 6:

[0996] Based on the received emotion data, the server uses an AI model to generate an appropriate support message, which is then sent to the device via a cloud messaging service.

[0997] Input: Parsed emotion data.

[0998] Output: The generated assistance message.

[0999] Specific operation: The server analyzes the emotion data and generates a support message using an AI model, which is then sent to the device via a cloud messaging service and presented to the user.

[1000] Step 7:

[1001] The terminal means monitors the state of the emergency SOS button mounted on the device, and when an emergency signal is sent, immediately transmits the emergency signal to the cloud server.

[1002] Input: SOS button press information.

[1003] Output: Emergency signal sent to cloud server.

[1004] Specific operation: When the device detects that the SOS button has been pressed, it sends that information to the terminal means, which then immediately sends an emergency signal to the cloud server, which then initiates an emergency response.

[1005] Step 8:

[1006] The server receives the emergency signal and sends an alert and location information to the emergency contacts you have set up, informing them of your current location and health status, encouraging a prompt response.

[1007] Input: Emergency signal and location information sent from the terminal means.

[1008] Output: Alert and location sent to emergency contacts.

[1009] Specific operation: When the server receives an emergency signal, it sends an alert via SMS or email to pre-set emergency contacts (family members, nursing homes, medical institutions) and notifies them of the user's location and current health condition.

[1010] This process allows elderly people and those in need of care to enjoy safe shopping in physical stores, while also monitoring their health and emotional state in real time and providing appropriate support.

[1011] 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.

[1012] 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.

[1013] 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.

[1014] [Third embodiment]

[1015] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[1016] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[1017] 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).

[1018] 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.

[1019] 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.

[1020] 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).

[1021] 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.

[1022] 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.

[1023] 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.

[1024] 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.

[1025] 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.

[1026] 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."

[1027] This invention provides a system for real-time health monitoring of the elderly or people requiring care. This system acquires heart rate, blood pressure, body temperature, and location information, analyzes the information on the cloud to detect abnormalities, and immediately notifies the user if an abnormality is detected. Specific embodiments of the system are described below.

[1028] System configuration

[1029] 1. Device (Means of Data Collection):

[1030] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1031] 2. Terminal means:

[1032] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected.

[1033] 3. Server means:

[1034] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[1035] 4. Means of notification:

[1036] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[1037] Description of the embodiment

[1038] Health Data Collection and Transmission

[1039] Device:

[1040] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[1041] server:

[1042] The smartphone receives the data and sends it over the internet to a cloud server, where it is encrypted to ensure privacy.

[1043] Data analysis and notification

[1044] server:

[1045] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time to detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[1046] server:

[1047] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[1048] User:

[1049] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[1050] Emergency response

[1051] Device:

[1052] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[1053] server:

[1054] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (e.g., the user, a close relative, a care facility, etc.) containing location information and details of the emergency situation.

[1055] User:

[1056] When an alert notification is received, the parent immediately opens the app to check the parent's location and emergency situation, and if necessary, takes action such as calling an ambulance or rushing to the parent's side.

[1057] Specific examples

[1058] For example, let's say your parents spend the day at home.

[1059] Device:

[1060] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1061] server:

[1062] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[1063] User:

[1064] A push notification is sent to the smartphone, and the user checks the notification. The user learns that the parent's heart rate is abnormal, opens the app, checks the details, and, if necessary, contacts the parent and calls a medical institution or arranges for an ambulance.

[1065] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, and enables prompt notification and response when an abnormality is detected.

[1066] The processing flow will be explained below.

[1067] Step 1:

[1068] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[1069] Step 2:

[1070] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[1071] Step 3:

[1072] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[1073] Step 4:

[1074] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[1075] Step 5:

[1076] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[1077] Step 6:

[1078] Server: When an anomaly is detected, the server immediately generates a notification and sends a push notification to the user's smartphone app.

[1079] Step 7:

[1080] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[1081] Step 8:

[1082] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[1083] Step 9:

[1084] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[1085] Step 10:

[1086] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[1087] Step 11:

[1088] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[1089] In this way, the entire system is designed to manage the health status of the elderly and people in need of care in real time through a series of processing steps, and to respond quickly to abnormalities and emergencies.

[1090] Example 1

[1091] 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."

[1092] Currently, there are limited means to accurately monitor the health status of the elderly and people requiring care in real time, making it difficult to respond quickly when abnormalities occur. Furthermore, the lack of rapid communication methods in emergencies increases the risk. Therefore, there is a need for a system that enables real-time monitoring of health data and immediate response in the event of an abnormality.

[1093] 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.

[1094] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a means for notifying a user of an abnormal value detected by the server means, and a means for sending a warning message to the user in real time when an abnormal value is detected. This makes it possible to constantly monitor the health status of elderly people and people requiring care, and to quickly notify the user when an abnormality is detected and take appropriate action.

[1095] "Data collection means" are devices that measure heart rate, blood pressure, body temperature, and location information.

[1096] The "terminal means" is a device that displays data acquired from the data collection means via a user interface and transmits the data to the cloud environment.

[1097] The "server means" is a device that is placed in a cloud environment, receives data sent from the terminal means, and detects abnormal values.

[1098] The "notification means" is a device that notifies the user of abnormal values ​​detected by the server means.

[1099] "Real-time" is a concept that indicates that data collection and analysis occur almost immediately, with very little delay.

[1100] An "abnormal value" is a value that indicates that the measured heart rate, blood pressure, body temperature, and location information is outside the normal range.

[1101] A "warning message" is a notification that is immediately sent to the user when an abnormal value is detected, and includes content that calls for attention.

[1102] "User" refers to the elderly or people in need of care whose health condition is being monitored, or the relatives or caregivers who monitor their condition.

[1103] This invention provides a system that monitors the health status of elderly people or people requiring care in real time and immediately notifies them if an abnormality occurs. The system is realized with the following four hardware and software configurations.

[1104] Device (data collection method)

[1105] Terminal: This system uses a wristband- or necklace-shaped wearable device worn by the elderly or those in need of care. This device is equipped with a heart rate sensor, blood pressure monitor, thermometer, and GPS module, and has the ability to continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button for emergencies, which can be pressed to immediately send an emergency alert.

[1106] Dedicated app (terminal means)

[1107] Device: A dedicated application is provided to be installed on the user's smartphone or tablet. This application acquires data from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[1108] Cloud server (server means and notification means)

[1109] Server: A server system deployed in a cloud environment is used. The server receives data sent from the terminal means, encrypts it, and stores it. The stored data is analyzed using an AI algorithm, and if an abnormality is detected, it immediately serves as a notification means. For example, it has the function of detecting an abnormally high heart rate or low blood pressure and notifying the user.

[1110] Emergency notification function

[1111] Device and Server: The device worn by the parent has an SOS button that can be used in an emergency. When pressed, an emergency signal is sent to the smartphone. The smartphone immediately forwards this emergency signal to the cloud server, which then sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility). The alert includes location information and details of the emergency situation.

[1112] Specific examples

[1113] For example, let's say a parent is at home and their heart rate suddenly spikes above 130. In this case, the system will:

[1114] Terminal: The device detects the heart rate 130 and transmits it to the smartphone via Bluetooth.

[1115] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[1116] Device: The dedicated app sends a push notification to the user, who can then view the notification and check detailed information (heart rate graph, location information, etc.) within the app. If necessary, the app can contact a parent and arrange for medical attention or an ambulance.

[1117] Example prompts for generative AI models

[1118] Example prompts to be fed to the generative AI model:

[1119] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[1120] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[1121] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, quickly notifying them when an abnormality is detected, and supporting appropriate responses.

[1122] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1123] Step 1: Data collection

[1124] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time. It receives physical data (heart rate, blood pressure, body temperature) and location data (GPS information) as input. This data is temporarily stored in the device's memory. Specifically, the heart rate sensor detects heartbeats every second and records them in the device.

[1125] Step 2: Send data

[1126] Terminal: Data is sent from the wearable device to the smartphone via Bluetooth. As input, it receives the data collected by the device. As output, it temporarily stores the received data on the smartphone. Specifically, a dedicated smartphone app establishes a Bluetooth connection and reads the data from the device's memory.

[1127] Step 3: Encrypt and transfer data

[1128] Terminal: The smartphone encrypts the received data using AES (Advanced Encryption Standard). As input, it receives the raw data received from the device. As output, it transfers the encrypted data to the cloud server. Specifically, a dedicated app sends the data to the cloud server via an internet connection.

[1129] Step 4: Data storage and analysis

[1130] Server: The cloud server stores the received data in a database and analyzes it using AI algorithms. Encrypted data is received as input and decrypted. The output is the data stored in the database and the analysis results. Specifically, the data is decrypted on the server, and the AI ​​algorithm performs moving average filtering and threshold detection to detect abnormal values ​​in heart rate and blood pressure.

[1131] Step 5: Detect outliers

[1132] Server: The AI ​​algorithm analyzes the data and detects abnormal patterns. As input, it processes raw data and historical data stored in a database. As output, it generates anomalies and detailed information if any are detected. Specifically, if the heart rate is above 120, it is flagged as abnormal.

[1133] Step 6: Sending anomaly notifications

[1134] Server: If an anomaly is detected, the server sends an anomaly notification to the device. It processes the anomaly detection results and user information as input. It generates an anomaly notification as output and sends a push notification to the smartphone. Specifically, the server's notification function sends a message to the user's smartphone.

[1135] Step 7: Check for abnormal notifications

[1136] User: Receives and checks the abnormality notification using a dedicated smartphone app. The input is the abnormality notification sent from the server. The output is the notification message. Specifically, the app displays a push notification, and the user taps the notification to check the details.

[1137] Step 8: Emergency Safety Check

[1138] Device: When the parent presses the emergency SOS button, an emergency signal is sent to the smartphone. As input, the device receives the SOS button press event. As output, it forwards the emergency signal to the smartphone. The specific operation is that the device sends the emergency signal to the smartphone via Bluetooth.

[1139] Server: The smartphone receives the emergency signal and sends it to the cloud server. As input, the server receives the emergency signal from the smartphone. As output, the server sends a notification to the emergency contacts.

[1140] Example prompts for generative AI models

[1141] Example prompts to be fed to the generative AI model:

[1142] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[1143] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[1144] (Application example 1)

[1145] 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."

[1146] There is a need for a system that can monitor the health status of the elderly and people requiring care in real time and provide support to help them live safely. However, current systems sometimes do not detect or notify abnormalities quickly, which risks delaying emergency responses. In addition, there is a need for methods to effectively utilize AI and cloud technology to improve the accuracy of data analysis and notifications.

[1147] 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.

[1148] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, and a means for sending a push notification or message to an emergency contact when an abnormality is detected, thereby enabling highly accurate data analysis and rapid notification of an abnormality.

[1149] "Elderly" refers to adults whose physical or cognitive functions are likely to decline with age.

[1150] "People who require care" refers to people who require support from a third party in their daily lives.

[1151] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[1152] "Real-time" refers to the measurement and processing of information in synchronization with real time.

[1153] "Heart rate" refers to the number of times the heart beats in a given period of time.

[1154] "Blood pressure" refers to the pressure that blood in the arteries exerts on the walls of blood vessels.

[1155] "Body temperature" refers to the internal temperature of the human body.

[1156] "Location information" refers to data associated with a specific location or coordinates.

[1157] "Data Collection Instrument" refers to a device or combination of devices used to measure heart rate, blood pressure, body temperature, and location information.

[1158] "Terminal means" refers to a device or a combination of devices for displaying data acquired from the data collection means via a user interface.

[1159] "Cloud environment" refers to a network system in which computer resources are provided via the Internet.

[1160] "Server Means" refers to a device or combination of devices that receives data from Terminal Means and stores and analyzes it.

[1161] "Notification means" refers to a device or combination of devices that notifies the user when an abnormal value is detected.

[1162] This invention is a system that monitors the health status of elderly people and those who require care in real time and quickly notifies them when an abnormality is detected.

[1163] System configuration

[1164] 1. Device (Means of Data Collection):

[1165] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1166] 2. Terminal means:

[1167] It is a dedicated application installed on the user's smartphone or smart glasses. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[1168] 3. Server means:

[1169] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[1170] 4. Means of notification:

[1171] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[1172] Health Data Collection and Transmission

[1173] Device:

[1174] The device continuously measures heart rate, blood pressure, body temperature and location information in real time and transmits it to a terminal via Bluetooth, allowing the user to view the data on the terminal, which is then transferred to a cloud server via the Internet.

[1175] server:

[1176] The server encrypts the received data and stores it in a privacy-ensured manner. It analyzes the data in real time, and if an abnormal pattern is detected, it automatically alerts the user via a notification method.

[1177] Data analysis and notification

[1178] server:

[1179] The cloud server uses AI algorithms (such as TensorFlow or PyTorch) to analyze the data, detecting abnormal patterns in real time, such as abnormally high heart rate or low blood pressure.

[1180] Notification method:

[1181] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[1182] User:

[1183] Users can check their health status and receive alerts in real time on their smartphones or smart glasses. If an abnormality occurs, they can view detailed information (e.g., heart rate graphs, location information, etc.) within the app and take appropriate action.

[1184] Emergency response

[1185] Device:

[1186] When the emergency SOS button mounted on the device is pressed, an emergency signal is immediately transmitted to the terminal means.

[1187] server:

[1188] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts, including health status and location information.

[1189] User:

[1190] When users receive an alert notification, they can immediately open the app to view more information and take action, such as calling an ambulance, if necessary.

[1191] Specific examples

[1192] For example, when an elderly person is spending the day at home, the device will periodically measure their heart rate. However, if the heart rate suddenly rises above 120, the device will send this data to the terminal means. The smartphone will then forward the received data to a cloud server, where the server's AI algorithm will detect an abnormal heart rate and send an abnormality alert. The user will then receive a push notification on their smartphone, allowing them to check the notification for more information and take appropriate action.

[1193] Prompt Sentence Examples

[1194] "If an elderly person's heart rate suddenly increases during daily activities, please explain what steps the system takes to detect the abnormality and notify the user. Please also explain in detail the necessary hardware and software, as well as the data flow."

[1195] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1196] Step 1:

[1197] Devices collect data

[1198] The device is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care, and continuously measures heart rate, blood pressure, body temperature, and location information.

[1199] Input: Heart rate, blood pressure, temperature, location

[1200] Output: Measured data

[1201] How it works: Sensors measure the user's heart rate, blood pressure, body temperature, and location in real time.

[1202] Step 2:

[1203] Send data to the device

[1204] The device transmits data via Bluetooth to a terminal means, which may be a user's smartphone or smart glasses.

[1205] Input: Heart rate, blood pressure, temperature, and location information sent from the device

[1206] Output: Data transfer to device

[1207] Specific operation: The device sends data to the terminal via Bluetooth. The terminal's dedicated app receives and displays the data.

[1208] Step 3:

[1209] Send data to the cloud

[1210] The terminal means transmits the received data to a cloud server via the Internet.

[1211] Input: Heart rate, blood pressure, temperature, and location information stored on the device

[1212] Output: Data transfer to cloud server

[1213] How it works: The app sends data to a cloud server over the internet, where it is encrypted during transmission.

[1214] Step 4:

[1215] Data storage and analysis on cloud servers

[1216] The cloud server stores the received data and analyzes it in real time using AI algorithms (e.g., using TensorFlow or PyTorch).

[1217] Input: Transmitted heart rate, blood pressure, temperature, and location information

[1218] Output: Anomaly detection results, analysis data

[1219] How it works: After receiving the data, the server encrypts and stores it. AI algorithms analyze the data and detect abnormal patterns.

[1220] Step 5:

[1221] Notification when an abnormality is detected

[1222] If the cloud server detects an abnormality using the AI ​​algorithm, it will send a warning to the user via notification methods. In the event of an emergency, it will send a push notification, SMS, or email to the emergency contacts you have set.

[1223] Input: Anomaly detection results

[1224] Output: Push notification, SMS, email

[1225] Specific behavior: When the server detects an abnormality, it immediately sends an alert to the user and emergency contacts using notification methods.

[1226] Step 6:

[1227] User confirmation and response

[1228] After receiving the notification, the user can check the details using a smartphone or smart glasses app and take appropriate action (e.g., call an ambulance) if necessary.

[1229] Input: Push notification, More information

[1230] Output: Appropriate response action

[1231] Specific actions: After receiving the notification, the user opens the app to check the details and, in the event of an emergency, can take action such as calling an ambulance.

[1232] In the above processing steps, the server, terminal, and user work together to monitor the health status of elderly people and those who require care, thereby ensuring their safety.

[1233] 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.

[1234] The present invention provides a system that monitors the health status of elderly people or people requiring care in real time, and further combines it with an emotion engine that recognizes the user's emotions. This system not only detects abnormalities in health data, but also grasps the user's emotional state, enabling more appropriate responses and support. Specific embodiments of the system are described below.

[1235] System configuration

[1236] 1. Device (Means of Data Collection):

[1237] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1238] 2. Terminal means:

[1239] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[1240] 3. Server means:

[1241] It is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user via the notification means. It also has the function of sending appropriate support messages based on the user's emotional information recognized by the emotion engine.

[1242] 4. Means of notification:

[1243] This is a system that instantly notifies users of abnormalities detected by the server and emotional states recognized by the emotion engine. It supports various notification methods such as push notification, SMS, and email.

[1244] Description of the embodiment

[1245] Health Data Collection and Transmission

[1246] Device:

[1247] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[1248] server:

[1249] The smartphone transfers the received data to a cloud server via the internet, where it is encrypted and sent securely.

[1250] Data analysis and notification

[1251] server:

[1252] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time to detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[1253] server:

[1254] When an anomaly is detected, the server immediately notifies the terminal device of the anomaly data and the detection result, which triggers the terminal device to send a push notification to the user to warn them.

[1255] User:

[1256] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[1257] Recognizing and Responding to Emotions

[1258] Device:

[1259] When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state, which is then sent to a cloud server.

[1260] server:

[1261] The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[1262] Notification method:

[1263] Appropriate support messages are sent to the user's smartphone, allowing the user to receive advice and support that suits their emotional state.

[1264] Emergency response

[1265] Device:

[1266] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[1267] server:

[1268] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (such as the user, a relative, or a care facility), which includes location information and details of the emergency situation.

[1269] User:

[1270] Receive an alert notification, open the app to check your parent's current location and emergency situation, and if necessary, call an ambulance or rush to your parent's side.

[1271] Specific examples

[1272] For example, let's say your parents spend the day at home.

[1273] Device:

[1274] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1275] server:

[1276] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[1277] User:

[1278] A push notification is sent to the smartphone, and the user checks it. Learning that their parent's heart rate is abnormal, they open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend contacting a medical institution to ensure your parent's safety."

[1279] In this way, the system of the present invention can not only monitor the health status of the elderly and people in need of care, but also take into account the user's emotional state and provide appropriate support and advice.

[1280] The processing flow will be explained below.

[1281] Step 1:

[1282] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[1283] Step 2:

[1284] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[1285] Step 3:

[1286] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[1287] Step 4:

[1288] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[1289] Step 5:

[1290] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[1291] Step 6:

[1292] Server: When an abnormal value is detected, the server immediately notifies the device of the abnormal data and the detection result, which triggers a push notification to alert the user.

[1293] Step 7:

[1294] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[1295] Step 8:

[1296] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[1297] Step 9:

[1298] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[1299] Step 10:

[1300] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[1301] Step 11:

[1302] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[1303] Step 12:

[1304] User: Using a smartphone app, the user inputs their emotions through voice or text. For example, they input something like, "I feel a bit tired today."

[1305] Step 13:

[1306] Terminal: The emotion engine analyzes the user's voice and text input to identify the user's emotional state (e.g., stress, fatigue, relief, etc.).

[1307] Step 14:

[1308] Server: The cloud server receives and analyzes the emotion data. For example, if a user enters "I'm tired," the server determines that the user is feeling stressed.

[1309] Step 15:

[1310] Server: The server generates an appropriate support message based on the emotional information recognized by the emotion engine, such as "Take a deep breath to relax."

[1311] Step 16:

[1312] Server: Sends a support message to the user's smartphone app. The user receives the support message on their smartphone and responds.

[1313] Step 17:

[1314] User: When a user receives a support message, they can follow the advice and practice relaxation and stress management techniques.

[1315] This series of processing steps enables real-time monitoring of the health status of elderly people and those in need of care, and rapid response to abnormalities or emergencies, while also providing appropriate support and advice that takes into account the user's emotional state.

[1316] Example 2

[1317] 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."

[1318] Conventional health monitoring systems for the elderly and those requiring care only capture physiological data such as heart rate, blood pressure, and body temperature, but are unable to consider the user's emotional state. As a result, health management systems lack consideration for the user's psychological aspects, making it difficult to provide appropriate support. In addition, the lack of rapid response measures in emergencies makes it difficult to ensure the user's safety.

[1319] 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.

[1320] In this invention, the server includes data collection means for measuring heart rate, blood pressure, body temperature, and location information, terminal means for displaying data acquired from the data collection means via a user interface and analyzing the user's voice and text input to recognize emotions, server means for transmitting data from the terminal means to a cloud environment, detecting abnormal values, analyzing emotional data, and generating a support message, and notification means for notifying the user of a support message based on the abnormal values ​​detected by the server means and the results of the emotion analysis. This allows for comprehensive support of the user in terms of both health data and emotional state, and makes it possible to respond quickly in emergencies.

[1321] The term "elderly" generally refers to people aged 65 or older, including those with special health care and nursing needs.

[1322] "People who need care" refers to people who need assistance from others in their daily lives due to a disability, illness, or other reason.

[1323] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[1324] "Real-time monitoring" refers to constantly or frequently updating data and keeping the results observable almost immediately.

[1325] "Emotional state" refers to the state of mind a user feels in response to a particular situation or event, and is analyzed through voice or text input.

[1326] "Data collection means" includes devices and equipment used to measure heart rate, blood pressure, body temperature, and location information.

[1327] "Terminal means" refers to a computing device for displaying data acquired from the data collection means via a user interface and for recognizing emotions by analyzing a user's voice and text input.

[1328] A "cloud environment" is a remote server provided over the Internet where data is stored, analyzed, and processed.

[1329] The term "server means" refers to a series of systems that receive and store data, detect outliers, analyze emotion data, and generate support messages in a cloud environment.

[1330] The "notification means" refers to a means for notifying the user of an alert or a support message based on the abnormal values ​​and emotion analysis results detected by the server means.

[1331] "Wristband-shaped" refers to a device that is worn on the wrist.

[1332] "Necklace-shaped" refers to a device that is shaped to be worn around the neck.

[1333] "Emergency Notification Button" means a device that includes a button that can be operated to immediately alert someone in an emergency.

[1334] A "help message" is a message containing advice or information that is generated by the server means and sent to the user.

[1335] This invention is a system that monitors the health status of elderly people or people requiring care in real time and recognizes the user's emotions. This system not only detects abnormalities in health data but also grasps the user's emotional state, enabling more appropriate responses and support.

[1336] System configuration

[1337] Data collection methods

[1338] The data collection method is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care. The device is equipped with sensors to measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to send an immediate emergency alert in case of an emergency.

[1339] Terminal means

[1340] The terminal means is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[1341] Server Means

[1342] The server means is a server system deployed on the cloud. It receives and stores data sent from the terminal means and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has the function of sending an appropriate support message based on the user's emotional information recognized by the emotion engine.

[1343] Notification means

[1344] The notification method is a mechanism for instantly notifying users of abnormalities detected by the server method and emotional states recognized by the emotion engine. Various notification methods are supported, including push notifications, SMS, and email.

[1345] Specific processing of the program

[1346] Health data collection

[1347] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time and transmits this data to the user's smartphone via Bluetooth.

[1348] Sending data to the cloud server

[1349] Server: The smartphone transfers the received data to the cloud server via the Internet. The data is encrypted and sent securely.

[1350] Data analysis

[1351] Server: The cloud server analyzes the received data using AI algorithms to detect abnormal patterns such as abnormally high heart rate or low blood pressure.

[1352] Notification when an abnormality is detected

[1353] Server: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result.

[1354] Device: The device triggers a push notification to alert the user.

[1355] Emotional Data Recognition and Analysis

[1356] On the device: When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state.

[1357] Server: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[1358] Emergency call function

[1359] Device: When a parent presses the emergency SOS button on the device, an emergency signal is immediately sent to the smartphone.

[1360] Server: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts (user, next of kin, care facility, etc.) containing location information and details of the emergency situation.

[1361] User: Receives an alert notification, opens the app to check their parent's current location and emergency situation, and if necessary, calls an ambulance or rushes to their parent's side.

[1362] Specific examples

[1363] For example, let's say your parents spend the day at home.

[1364] Device: The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1365] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[1366] User: A push notification is sent to the smartphone, and the user checks the notification. They learn that their parent's heart rate is abnormal and open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend that you contact a medical institution to ensure your parent's safety."

[1367] Prompt Sentence Examples

[1368] "How do I respond if my parent's heart rate is abnormally high?"

[1369] By inputting this prompt into the AI ​​model, it can provide prompt and appropriate advice when a parent's heart rate reaches 120 BPM.The system not only monitors the health of the elderly and those in need of care, but also takes into account the user's emotional state to provide appropriate assistance and advice.

[1370] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1371] Specific flow of program processing

[1372] Step 1: Collect data

[1373] Device:

[1374] Input: Wearable device measures heart rate, blood pressure, temperature, and location in real time.

[1375] Output: Measured data (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[1376] How it works: A wristband or necklace-style device continuously monitors the parent's physical condition and periodically updates the data, which is then sent via Bluetooth to the parent's smartphone.

[1377] Step 2: Sending data

[1378] server:

[1379] Input: Data received by smartphone (heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[1380] Output: Encrypted data transferred to the cloud server

[1381] How it works: The smartphone receives data via Bluetooth and sends it to a cloud server over the Internet. The data is encrypted using the SSL / TLS protocol to ensure secure communication.

[1382] Step 3: Analyze the data

[1383] server:

[1384] Input: Encrypted data sent to the cloud server (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5°C, location information)

[1385] Output: Analysis results (e.g., evaluation of normal or abnormal conditions)

[1386] How it works: AI algorithms on a cloud server analyze the incoming data and compare it with historical data and known health standards. They evaluate heart rate, blood pressure, and other data in real time to check for abnormalities. For example, they check to see if your heart rate is above 100 BPM.

[1387] Step 4: Notification when an anomaly is detected

[1388] server:

[1389] Input: Analysis result (e.g. heart rate exceeds 120 BPM)

[1390] Output: Anomaly detection message (e.g., a warning that the heart rate is too high)

[1391] Specific operation: When the cloud server detects an abnormality, it immediately generates an abnormality detection message and sends the data to notify the smartphone.

[1392] Device:

[1393] Input: Anomaly detection message

[1394] Output: Push notification (e.g., abnormal heart rate warning)

[1395] Specific operation: The smartphone receives the anomaly detection message from the server and sends a push notification to the user. The user checks the notification and opens the app to check the details.

[1396] Step 5: Collect and analyze emotion data

[1397] Device:

[1398] Input: User voice or text input (e.g., "I've been worried about my parents' health lately.")

[1399] Output: Analyzed emotion data (e.g., stress state)

[1400] How it works: When a user inputs their emotions into the app via voice or text, the emotion engine analyzes the input data and recognizes the user's emotional state.

[1401] server:

[1402] Input: Analyzed emotion data (e.g., stress state)

[1403] Output: Supportive message (e.g., "Take a deep breath and relax")

[1404] Specific operation: The cloud server analyzes the emotional data and generates appropriate support messages as needed. The generated messages are then sent to the smartphone.

[1405] Step 6: Emergency Call Function

[1406] Device:

[1407] Input: Parent presses Emergency SOS button on device

[1408] Output: Emergency signal (e.g. emergency alert with parent's location)

[1409] How it works: When a parent presses the emergency SOS button on the device, an emergency signal containing their location is sent to their smartphone.

[1410] server:

[1411] Input: Received emergency signal (parent location)

[1412] Output: Emergency alert (e.g., notification to designated emergency contacts)

[1413] What it does: When the server receives an emergency signal, it sends an alert to pre-defined emergency contacts, including the parent's location and details of the emergency situation.

[1414] User:

[1415] Input: Received emergency alert (parent location and emergency status)

[1416] Output: Appropriate response (e.g., calling an ambulance or rushing to the parents' side)

[1417] What happens: The user sees the alert, opens the app, checks the parent's current location and emergency situation, and, if necessary, dispatches an ambulance or rushes to the parent's side.

[1418] Prompt Sentence Examples

[1419] "How do I respond if my parent's heart rate is abnormally high?"

[1420] (Application example 2)

[1421] 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."

[1422] There is a need not only to monitor the health status of the elderly and people requiring care in real time, but also to provide a safe and active environment in public places such as stores. Furthermore, conventional technologies are limited to monitoring abnormal health conditions and do not provide support or responses based on the user's emotional state. Therefore, the realization of a system that can reduce the user's psychological burden and provide appropriate support is a challenge.

[1423] 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 a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a notification means for notifying the user of the abnormal value detected by the server means, an emotion analysis means for analyzing emotion information, and an assistance message generation means for generating an assistance message based on the analysis results. This makes it possible to monitor the health and emotional states of elderly people and people requiring care in real time, and to immediately notify and provide an appropriate assistance message if an abnormality is detected.

[1424] "Elderly people" are people whose physical functions have declined with age and who require a certain level of support and consideration in their daily lives.

[1425] "People who need nursing care" are those who have difficulty living independently in their daily lives due to illness or disability, and who require support and assistance from others.

[1426] "Health" refers to the health and functioning of the body, including heart rate, blood pressure, temperature, and location.

[1427] "Real-time monitoring" means acquiring data continuously and instantaneously and understanding the status immediately.

[1428] "Data collection means" refers to devices or systems for measuring and obtaining heart rate, blood pressure, body temperature, and location information.

[1429] "User interface" refers to a display means that allows a user to visually check data via a terminal means.

[1430] "Terminal means" refers to a device or system for displaying data acquired from the data collection means and transferring it to a cloud environment.

[1431] A "cloud environment" is an infrastructure consisting of remote servers for sending, receiving, and processing data over the Internet.

[1432] An "outlier" is data that deviates significantly from normal health conditions.

[1433] "Server means" refers to a device or system that receives and analyzes data on a server located in a cloud environment.

[1434] The "notification means" refers to a device or system for notifying the user of information from the server means.

[1435] "Emotion analysis means" refers to a device or system that analyzes a user's voice or text input and recognizes their emotional state.

[1436] The "support message generating means" refers to a device or system for generating an appropriate support message for the user based on the analyzed emotional state.

[1437] System Configuration

[1438] The system of the present invention aims to monitor the health and emotional states of elderly people and people who require care in real time and provide appropriate support so that they can move around safely in physical stores. The specific components of the system and their functions are described below.

[1439] Device (data collection method)

[1440] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It contains sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1441] Terminal means

[1442] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also incorporates an emotion analysis function that analyzes the user's voice and text input to recognize emotions.

[1443] Server Means

[1444] This is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has a support message generation means that generates an appropriate support message based on the user's emotional information recognized by the emotion analysis means.

[1445] System Operation

[1446] Health Data Collection and Transmission

[1447] Terminal means: Devices worn by elderly people and those requiring care measure heart rate, blood pressure, body temperature, and location information in real time. This data is sent to terminal means (smartphones or tablets) via Bluetooth.

[1448] Server means: The data received by the terminal means is transferred to the cloud server via the Internet. The data is encrypted at the server and transmitted securely.

[1449] Data analysis and notification

[1450] Server means: The data received by the cloud server is analyzed by an AI algorithm. The data is evaluated in real time to detect abnormalities such as heart rate and blood pressure.

[1451] Notification means: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result. The terminal means then sends a warning to the user via push notification.

[1452] Example: If a user's heart rate rises abnormally while shopping in a physical store, data from the device is sent to a server via the terminal means. The server detects the abnormality and sends a notification to the store staff.

[1453] Sentiment analysis and support messages

[1454] Terminal means: When a user inputs voice or text into the app, the emotion analysis means analyzes the input and recognizes the user's emotional state. This emotional state is then sent to the cloud server.

[1455] Server means: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, a message such as "Take a deep breath to relax" is generated.

[1456] Example: If a user says "I'm tired," the emotion analysis means analyzes this, and generates a support message such as "I recommend you move to a rest area," and notifies the user.

[1457] Emergency response

[1458] Terminal means: When a user presses the emergency SOS button mounted on the device, an emergency signal is immediately transmitted to the terminal means.

[1459] Server Method: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts, including location information and details of the emergency situation.

[1460] Example: If a user collapses in a store, pressing the SOS button will send an emergency signal from the terminal means to the server, which will then send a notification to the emergency contact.

[1461] Prompt Sentence Examples

[1462] “When a customer says, ‘I’m tired,’ generate an appropriate support message.

[1463] Prompt: A customer says, "I'm tired." Generate a supportive message.

[1464] In this way, the system of the present invention provides an environment where elderly people and people who need care can safely and securely engage in activities in physical stores.

[1465] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1466] Step 1:

[1467] The data collection means measures heart rate, blood pressure, body temperature, and location information in real time, which is then captured by the device and transmitted via Bluetooth to the terminal means (smartphone or tablet).

[1468] Input: Real-time heart rate, blood pressure, temperature, and location.

[1469] Output: Health data transmitted to terminal means.

[1470] Specific operation: The wearable device uses sensors to measure the user's health data and transmits it to a smartphone via a Bluetooth communication module.

[1471] Step 2:

[1472] The terminal means transfers the health data received from the data collection means to the cloud server, where the health data is stored and encrypted.

[1473] Input: Health data received by the terminal means.

[1474] Output: Health data sent to cloud server.

[1475] Specific operation: The dedicated application encrypts the data received via Bluetooth using HTTPS and sends it to the cloud server.

[1476] Step 3:

[1477] The health data received by the server is analyzed using AI algorithms, detecting abnormalities in heart rate and blood pressure and generating abnormality alerts as necessary.

[1478] Input: Health data stored on a cloud server.

[1479] Output: Anomaly alert.

[1480] How it works: The server runs AI algorithms to analyze health data stored in a database and detect abnormalities. If an abnormality is detected, an alert is generated and sent to the notification system.

[1481] Step 4:

[1482] The server notifies the generated abnormality alert to the terminal means, and the terminal means issues a warning to the user via push notification.

[1483] Input: Anomaly alert sent from the server.

[1484] Output: The push notification sent to the user.

[1485] Specific operation: The server uses the notification system to send an abnormality alert to the cloud messaging service, which is then received by the terminal means and presented to the user as a push notification.

[1486] Step 5:

[1487] The terminal means receives the user's voice input or text input, which the emotion analysis means analyzes, recognizes the user's emotional state, and transmits the data to the cloud server.

[1488] Input: User's voice or text input.

[1489] Output: Parsed emotion data.

[1490] How it works: When a user inputs voice or text into the app, the sentiment analysis engine runs internally and generates sentiment analysis results, which are then sent to a cloud server.

[1491] Step 6:

[1492] Based on the received emotion data, the server uses an AI model to generate an appropriate support message, which is then sent to the device via a cloud messaging service.

[1493] Input: Parsed emotion data.

[1494] Output: The generated assistance message.

[1495] Specific operation: The server analyzes the emotion data and generates a support message using an AI model, which is then sent to the device via a cloud messaging service and presented to the user.

[1496] Step 7:

[1497] The terminal means monitors the state of the emergency SOS button mounted on the device, and when an emergency signal is sent, immediately transmits the emergency signal to the cloud server.

[1498] Input: SOS button press information.

[1499] Output: Emergency signal sent to cloud server.

[1500] Specific operation: When the device detects that the SOS button has been pressed, it sends that information to the terminal means, which then immediately sends an emergency signal to the cloud server, which then initiates an emergency response.

[1501] Step 8:

[1502] The server receives the emergency signal and sends an alert and location information to the emergency contacts you have set up, informing them of your current location and health status, encouraging a prompt response.

[1503] Input: Emergency signal and location information sent from the terminal means.

[1504] Output: Alert and location sent to emergency contacts.

[1505] Specific operation: When the server receives an emergency signal, it sends an alert via SMS or email to pre-set emergency contacts (family members, nursing homes, medical institutions) and notifies them of the user's location and current health condition.

[1506] This process allows elderly people and those in need of care to enjoy safe shopping in physical stores, while also monitoring their health and emotional state in real time and providing appropriate support.

[1507] 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.

[1508] 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.

[1509] 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.

[1510] [Fourth embodiment]

[1511] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1512] 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.

[1513] 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).

[1514] 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.

[1515] 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.

[1516] 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).

[1517] 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.

[1518] 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.

[1519] 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.

[1520] 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.

[1521] 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.

[1522] 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.

[1523] 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."

[1524] This invention provides a system for real-time health monitoring of the elderly or people requiring care. This system acquires heart rate, blood pressure, body temperature, and location information, analyzes the information on the cloud to detect abnormalities, and immediately notifies the user if an abnormality is detected. Specific embodiments of the system are described below.

[1525] System configuration

[1526] 1. Device (Means of Data Collection):

[1527] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1528] 2. Terminal means:

[1529] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected.

[1530] 3. Server means:

[1531] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[1532] 4. Means of notification:

[1533] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[1534] Description of the embodiment

[1535] Health Data Collection and Transmission

[1536] Device:

[1537] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[1538] server:

[1539] The smartphone receives the data and sends it over the internet to a cloud server, where it is encrypted to ensure privacy.

[1540] Data analysis and notification

[1541] server:

[1542] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time to detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[1543] server:

[1544] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[1545] User:

[1546] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[1547] Emergency response

[1548] Device:

[1549] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[1550] server:

[1551] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (e.g., the user, a close relative, a care facility, etc.) containing location information and details of the emergency situation.

[1552] User:

[1553] When an alert notification is received, the parent immediately opens the app to check the parent's location and emergency situation, and if necessary, takes action such as calling an ambulance or rushing to the parent's side.

[1554] Specific examples

[1555] For example, let's say your parents spend the day at home.

[1556] Device:

[1557] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1558] server:

[1559] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[1560] User:

[1561] A push notification is sent to the smartphone, and the user checks the notification. The user learns that the parent's heart rate is abnormal, opens the app, checks the details, and, if necessary, contacts the parent and calls a medical institution or arranges for an ambulance.

[1562] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, and enables prompt notification and response when an abnormality is detected.

[1563] The processing flow will be explained below.

[1564] Step 1:

[1565] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[1566] Step 2:

[1567] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[1568] Step 3:

[1569] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[1570] Step 4:

[1571] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[1572] Step 5:

[1573] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[1574] Step 6:

[1575] Server: When an anomaly is detected, the server immediately generates a notification and sends a push notification to the user's smartphone app.

[1576] Step 7:

[1577] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[1578] Step 8:

[1579] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[1580] Step 9:

[1581] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[1582] Step 10:

[1583] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[1584] Step 11:

[1585] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[1586] In this way, the entire system is designed to manage the health status of the elderly and people in need of care in real time through a series of processing steps, and to respond quickly to abnormalities and emergencies.

[1587] Example 1

[1588] 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."

[1589] Currently, there are limited means to accurately monitor the health status of the elderly and people requiring care in real time, making it difficult to respond quickly when abnormalities occur. Furthermore, the lack of rapid communication methods in emergencies increases the risk. Therefore, there is a need for a system that enables real-time monitoring of health data and immediate response in the event of an abnormality.

[1590] 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.

[1591] In this invention, the server includes a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a means for notifying a user of an abnormal value detected by the server means, and a means for sending a warning message to the user in real time when an abnormal value is detected. This makes it possible to constantly monitor the health status of elderly people and people requiring care, and to quickly notify the user when an abnormality is detected and take appropriate action.

[1592] "Data collection means" are devices that measure heart rate, blood pressure, body temperature, and location information.

[1593] The "terminal means" is a device that displays data acquired from the data collection means via a user interface and transmits the data to the cloud environment.

[1594] The "server means" is a device that is placed in a cloud environment, receives data sent from the terminal means, and detects abnormal values.

[1595] The "notification means" is a device that notifies the user of abnormal values ​​detected by the server means.

[1596] "Real-time" is a concept that indicates that data collection and analysis occur almost immediately, with very little delay.

[1597] An "abnormal value" is a value that indicates that the measured heart rate, blood pressure, body temperature, and location information is outside the normal range.

[1598] A "warning message" is a notification that is immediately sent to the user when an abnormal value is detected, and includes content that calls for attention.

[1599] "User" refers to the elderly or people in need of care whose health condition is being monitored, or the relatives or caregivers who monitor their condition.

[1600] This invention provides a system that monitors the health status of elderly people or people requiring care in real time and immediately notifies them if an abnormality occurs. The system is realized with the following four hardware and software configurations.

[1601] Device (data collection method)

[1602] Terminal: This system uses a wristband- or necklace-shaped wearable device worn by the elderly or those in need of care. This device is equipped with a heart rate sensor, blood pressure monitor, thermometer, and GPS module, and has the ability to continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button for emergencies, which can be pressed to immediately send an emergency alert.

[1603] Dedicated app (terminal means)

[1604] Device: A dedicated application is provided to be installed on the user's smartphone or tablet. This application acquires data from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[1605] Cloud server (server means and notification means)

[1606] Server: A server system deployed in a cloud environment is used. The server receives data sent from the terminal means, encrypts it, and stores it. The stored data is analyzed using an AI algorithm, and if an abnormality is detected, it immediately serves as a notification means. For example, it has the function of detecting an abnormally high heart rate or low blood pressure and notifying the user.

[1607] Emergency notification function

[1608] Device and Server: The device worn by the parent has an SOS button that can be used in an emergency. When pressed, an emergency signal is sent to the smartphone. The smartphone immediately forwards this emergency signal to the cloud server, which then sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility). The alert includes location information and details of the emergency situation.

[1609] Specific examples

[1610] For example, let's say a parent is at home and their heart rate suddenly spikes above 130. In this case, the system will:

[1611] Terminal: The device detects the heart rate 130 and transmits it to the smartphone via Bluetooth.

[1612] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[1613] Device: The dedicated app sends a push notification to the user, who can then view the notification and check detailed information (heart rate graph, location information, etc.) within the app. If necessary, the app can contact a parent and arrange for medical attention or an ambulance.

[1614] Example prompts for generative AI models

[1615] Example prompts to be fed to the generative AI model:

[1616] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[1617] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[1618] In this way, the system of the present invention constantly monitors the health status of the elderly and people who require care, quickly notifying them when an abnormality is detected, and supporting appropriate responses.

[1619] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1620] Step 1: Data collection

[1621] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time. It receives physical data (heart rate, blood pressure, body temperature) and location data (GPS information) as input. This data is temporarily stored in the device's memory. Specifically, the heart rate sensor detects heartbeats every second and records them in the device.

[1622] Step 2: Send data

[1623] Terminal: Data is sent from the wearable device to the smartphone via Bluetooth. As input, it receives the data collected by the device. As output, it temporarily stores the received data on the smartphone. Specifically, a dedicated smartphone app establishes a Bluetooth connection and reads the data from the device's memory.

[1624] Step 3: Encrypt and transfer data

[1625] Terminal: The smartphone encrypts the received data using AES (Advanced Encryption Standard). As input, it receives the raw data received from the device. As output, it transfers the encrypted data to the cloud server. Specifically, a dedicated app sends the data to the cloud server via an internet connection.

[1626] Step 4: Data storage and analysis

[1627] Server: The cloud server stores the received data in a database and analyzes it using AI algorithms. Encrypted data is received as input and decrypted. The output is the data stored in the database and the analysis results. Specifically, the data is decrypted on the server, and the AI ​​algorithm performs moving average filtering and threshold detection to detect abnormal values ​​in heart rate and blood pressure.

[1628] Step 5: Detect outliers

[1629] Server: The AI ​​algorithm analyzes the data and detects abnormal patterns. As input, it processes raw data and historical data stored in a database. As output, it generates anomalies and detailed information if any are detected. Specifically, if the heart rate is above 120, it is flagged as abnormal.

[1630] Step 6: Sending anomaly notifications

[1631] Server: If an anomaly is detected, the server sends an anomaly notification to the device. It processes the anomaly detection results and user information as input. It generates an anomaly notification as output and sends a push notification to the smartphone. Specifically, the server's notification function sends a message to the user's smartphone.

[1632] Step 7: Check for abnormal notifications

[1633] User: Receives and checks the abnormality notification using a dedicated smartphone app. The input is the abnormality notification sent from the server. The output is the notification message. Specifically, the app displays a push notification, and the user taps the notification to check the details.

[1634] Step 8: Emergency Safety Check

[1635] Device: When the parent presses the emergency SOS button, an emergency signal is sent to the smartphone. As input, the device receives the SOS button press event. As output, it forwards the emergency signal to the smartphone. The specific operation is that the device sends the emergency signal to the smartphone via Bluetooth.

[1636] Server: The smartphone receives the emergency signal and sends it to the cloud server. As input, the server receives the emergency signal from the smartphone. As output, the server sends a notification to the emergency contacts.

[1637] Example prompts for generative AI models

[1638] Example prompts to be fed to the generative AI model:

[1639] "Please explain in natural language the process flow of a system that monitors the health status of elderly people in real time and detects abnormalities."

[1640] "Please explain in detail the design of a system that monitors heart rate, blood pressure, temperature and location in real time."

[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] There is a need for a system that can monitor the health status of the elderly and people requiring care in real time and provide support to help them live safely. However, current systems sometimes do not detect or notify abnormalities quickly, which risks delaying emergency responses. In addition, there is a need for methods to effectively utilize AI and cloud technology to improve the accuracy of data analysis and notifications.

[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 a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, and a means for sending a push notification or message to an emergency contact when an abnormality is detected, thereby enabling highly accurate data analysis and rapid notification of an abnormality.

[1646] "Elderly" refers to adults whose physical or cognitive functions are likely to decline with age.

[1647] "People who require care" refers to people who require support from a third party in their daily lives.

[1648] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[1649] "Real-time" refers to the measurement and processing of information in synchronization with real time.

[1650] "Heart rate" refers to the number of times the heart beats in a given period of time.

[1651] "Blood pressure" refers to the pressure that blood in the arteries exerts on the walls of blood vessels.

[1652] "Body temperature" refers to the internal temperature of the human body.

[1653] "Location information" refers to data associated with a specific location or coordinates.

[1654] "Data Collection Instrument" refers to a device or combination of devices used to measure heart rate, blood pressure, body temperature, and location information.

[1655] "Terminal means" refers to a device or a combination of devices for displaying data acquired from the data collection means via a user interface.

[1656] "Cloud environment" refers to a network system in which computer resources are provided via the Internet.

[1657] "Server Means" refers to a device or combination of devices that receives data from Terminal Means and stores and analyzes it.

[1658] "Notification means" refers to a device or combination of devices that notifies the user when an abnormal value is detected.

[1659] This invention is a system that monitors the health status of elderly people and those who require care in real time and quickly notifies them when an abnormality is detected.

[1660] System configuration

[1661] 1. Device (Means of Data Collection):

[1662] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1663] 2. Terminal means:

[1664] It is a dedicated application installed on the user's smartphone or smart glasses. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected.

[1665] 3. Server means:

[1666] This is a server system deployed on the cloud. It receives and stores data sent from terminal means and analyzes the data using AI algorithms. If an abnormality is detected, it immediately notifies the user via notification means.

[1667] 4. Means of notification:

[1668] This is a mechanism for immediately notifying users of any abnormalities detected by the server. It supports various notification methods such as push notification, SMS, and email.

[1669] Health Data Collection and Transmission

[1670] Device:

[1671] The device continuously measures heart rate, blood pressure, body temperature and location information in real time and transmits it to a terminal via Bluetooth, allowing the user to view the data on the terminal, which is then transferred to a cloud server via the Internet.

[1672] server:

[1673] The server encrypts the received data and stores it in a privacy-ensured manner. It analyzes the data in real time, and if an abnormal pattern is detected, it automatically alerts the user via a notification method.

[1674] Data analysis and notification

[1675] server:

[1676] The cloud server uses AI algorithms (such as TensorFlow or PyTorch) to analyze the data, detecting abnormal patterns in real time, such as abnormally high heart rate or low blood pressure.

[1677] Notification method:

[1678] If an abnormality is detected, the server immediately notifies the terminal device of the abnormal data and the detection result, which triggers the terminal device to send a push notification to the user.

[1679] User:

[1680] Users can check their health status and receive alerts in real time on their smartphones or smart glasses. If an abnormality occurs, they can view detailed information (e.g., heart rate graphs, location information, etc.) within the app and take appropriate action.

[1681] Emergency response

[1682] Device:

[1683] When the emergency SOS button mounted on the device is pressed, an emergency signal is immediately transmitted to the terminal means.

[1684] server:

[1685] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts, including health status and location information.

[1686] User:

[1687] When users receive an alert notification, they can immediately open the app to view more information and take action, such as calling an ambulance, if necessary.

[1688] Specific examples

[1689] For example, when an elderly person is spending the day at home, the device will periodically measure their heart rate. However, if the heart rate suddenly rises above 120, the device will send this data to the terminal means. The smartphone will then forward the received data to a cloud server, where the server's AI algorithm will detect an abnormal heart rate and send an abnormality alert. The user will then receive a push notification on their smartphone, allowing them to check the notification for more information and take appropriate action.

[1690] Prompt Sentence Examples

[1691] "If an elderly person's heart rate suddenly increases during daily activities, please explain what steps the system takes to detect the abnormality and notify the user. Please also explain in detail the necessary hardware and software, as well as the data flow."

[1692] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1693] Step 1:

[1694] Devices collect data

[1695] The device is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care, and continuously measures heart rate, blood pressure, body temperature, and location information.

[1696] Input: Heart rate, blood pressure, temperature, location

[1697] Output: Measured data

[1698] How it works: Sensors measure the user's heart rate, blood pressure, body temperature, and location in real time.

[1699] Step 2:

[1700] Send data to the device

[1701] The device transmits data via Bluetooth to a terminal means, which may be a user's smartphone or smart glasses.

[1702] Input: Heart rate, blood pressure, temperature, and location information sent from the device

[1703] Output: Data transfer to device

[1704] Specific operation: The device sends data to the terminal via Bluetooth. The terminal's dedicated app receives and displays the data.

[1705] Step 3:

[1706] Send data to the cloud

[1707] The terminal means transmits the received data to a cloud server via the Internet.

[1708] Input: Heart rate, blood pressure, temperature, and location information stored on the device

[1709] Output: Data transfer to cloud server

[1710] How it works: The app sends data to a cloud server over the internet, where it is encrypted during transmission.

[1711] Step 4:

[1712] Data storage and analysis on cloud servers

[1713] The cloud server stores the received data and analyzes it in real time using AI algorithms (e.g., using TensorFlow or PyTorch).

[1714] Input: Transmitted heart rate, blood pressure, temperature, and location information

[1715] Output: Anomaly detection results, analysis data

[1716] How it works: After receiving the data, the server encrypts and stores it. AI algorithms analyze the data and detect abnormal patterns.

[1717] Step 5:

[1718] Notification when an abnormality is detected

[1719] If the cloud server detects an abnormality using the AI ​​algorithm, it will send a warning to the user via notification methods. In the event of an emergency, it will send a push notification, SMS, or email to the emergency contacts you have set.

[1720] Input: Anomaly detection results

[1721] Output: Push notification, SMS, email

[1722] Specific behavior: When the server detects an abnormality, it immediately sends an alert to the user and emergency contacts using notification methods.

[1723] Step 6:

[1724] User confirmation and response

[1725] After receiving the notification, the user can check the details using a smartphone or smart glasses app and take appropriate action (e.g., call an ambulance) if necessary.

[1726] Input: Push notification, More information

[1727] Output: Appropriate response action

[1728] Specific actions: After receiving the notification, the user opens the app to check the details and, in the event of an emergency, can take action such as calling an ambulance.

[1729] In the above processing steps, the server, terminal, and user work together to monitor the health status of elderly people and those who require care, thereby ensuring their safety.

[1730] 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.

[1731] The present invention provides a system that monitors the health status of elderly people or people requiring care in real time, and further combines it with an emotion engine that recognizes the user's emotions. This system not only detects abnormalities in health data, but also grasps the user's emotional state, enabling more appropriate responses and support. Specific embodiments of the system are described below.

[1732] System configuration

[1733] 1. Device (Means of Data Collection):

[1734] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It is equipped with sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1735] 2. Terminal means:

[1736] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[1737] 3. Server means:

[1738] It is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user via the notification means. It also has the function of sending appropriate support messages based on the user's emotional information recognized by the emotion engine.

[1739] 4. Means of notification:

[1740] This is a system that instantly notifies users of abnormalities detected by the server and emotional states recognized by the emotion engine. It supports various notification methods such as push notification, SMS, and email.

[1741] Description of the embodiment

[1742] Health Data Collection and Transmission

[1743] Device:

[1744] The device, worn by the parent, measures heart rate, blood pressure, temperature, and location in real time, and transmits this data via Bluetooth to the parent's smartphone.

[1745] server:

[1746] The smartphone transfers the received data to a cloud server via the internet, where it is encrypted and sent securely.

[1747] Data analysis and notification

[1748] server:

[1749] The data received by the cloud server is analyzed by AI algorithms, which evaluate the data in real time to detect abnormal patterns such as an abnormally high heart rate or low blood pressure.

[1750] server:

[1751] When an anomaly is detected, the server immediately notifies the terminal device of the anomaly data and the detection result, which triggers the terminal device to send a push notification to the user to warn them.

[1752] User:

[1753] The smartphone app allows users to check their parents' health status and receive alerts in real time. If an abnormality occurs, they can view detailed information (such as heart rate graphs and location information) within the app and take appropriate action.

[1754] Recognizing and Responding to Emotions

[1755] Device:

[1756] When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state, which is then sent to a cloud server.

[1757] server:

[1758] The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[1759] Notification method:

[1760] Appropriate support messages are sent to the user's smartphone, allowing the user to receive advice and support that suits their emotional state.

[1761] Emergency response

[1762] Device:

[1763] When a parent presses the emergency SOS button on the device, an emergency signal is instantly sent to the smartphone.

[1764] server:

[1765] When an emergency signal is received, the server sends an alert to pre-defined emergency contacts (such as the user, a relative, or a care facility), which includes location information and details of the emergency situation.

[1766] User:

[1767] Receive an alert notification, open the app to check your parent's current location and emergency situation, and if necessary, call an ambulance or rush to your parent's side.

[1768] Specific examples

[1769] For example, let's say your parents spend the day at home.

[1770] Device:

[1771] The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1772] server:

[1773] The smartphone receives the data and transfers it to a cloud server, where an AI algorithm detects abnormalities in the heart rate and issues an alert.

[1774] User:

[1775] A push notification is sent to the smartphone, and the user checks it. Learning that their parent's heart rate is abnormal, they open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend contacting a medical institution to ensure your parent's safety."

[1776] In this way, the system of the present invention can not only monitor the health status of the elderly and people in need of care, but also take into account the user's emotional state and provide appropriate support and advice.

[1777] The processing flow will be explained below.

[1778] Step 1:

[1779] Device: A wearable wristband or necklace device worn by the parent automatically measures heart rate, blood pressure, body temperature, and location every five minutes.

[1780] Step 2:

[1781] Device: The measured data is sent via Bluetooth to the parent's smartphone. The smartphone app receives this data and converts it into a displayable format.

[1782] Step 3:

[1783] Device: The smartphone app transfers the received data to a cloud server via the internet. The data is encrypted and sent securely.

[1784] Step 4:

[1785] Server: The cloud server receives the data and stores it in a database. The server prepares the received data for analysis.

[1786] Step 5:

[1787] Server: AI algorithms analyze the data and detect abnormalities in heart rate, blood pressure, and body temperature. For example, a heart rate consistently above 100 is considered abnormal.

[1788] Step 6:

[1789] Server: When an abnormal value is detected, the server immediately notifies the device of the abnormal data and the detection result, which triggers a push notification to alert the user.

[1790] Step 7:

[1791] User: Receives a push notification on their smartphone app and opens the app to view detailed information about their parent's health, including a heart rate graph and location information.

[1792] Step 8:

[1793] Device: When a parent determines that an emergency situation exists and presses the SOS button on the device, an emergency signal is automatically sent to the smartphone.

[1794] Step 9:

[1795] Terminal: The smartphone receives the emergency signal and sends it to the cloud server.

[1796] Step 10:

[1797] Server: When the server receives an emergency signal, it immediately sends an alert to pre-defined emergency contacts (such as the user, next of kin, or care facility) containing real-time location information and details of the emergency situation.

[1798] Step 11:

[1799] User: Receives an emergency alert, opens the app to check their parent's current location and emergency situation, and if necessary, dispatches an ambulance or rushes to their parent's side.

[1800] Step 12:

[1801] User: Using a smartphone app, the user inputs their emotions through voice or text. For example, they input something like, "I feel a bit tired today."

[1802] Step 13:

[1803] Terminal: The emotion engine analyzes the user's voice and text input to identify the user's emotional state (e.g., stress, fatigue, relief, etc.).

[1804] Step 14:

[1805] Server: The cloud server receives and analyzes the emotion data. For example, if a user enters "I'm tired," the server determines that the user is feeling stressed.

[1806] Step 15:

[1807] Server: The server generates an appropriate support message based on the emotional information recognized by the emotion engine, such as "Take a deep breath to relax."

[1808] Step 16:

[1809] Server: Sends a support message to the user's smartphone app. The user receives the support message on their smartphone and responds.

[1810] Step 17:

[1811] User: When a user receives a support message, they can follow the advice and practice relaxation and stress management techniques.

[1812] This series of processing steps enables real-time monitoring of the health status of elderly people and those in need of care, and rapid response to abnormalities or emergencies, while also providing appropriate support and advice that takes into account the user's emotional state.

[1813] Example 2

[1814] 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."

[1815] Conventional health monitoring systems for the elderly and those requiring care only capture physiological data such as heart rate, blood pressure, and body temperature, but are unable to consider the user's emotional state. As a result, health management systems lack consideration for the user's psychological aspects, making it difficult to provide appropriate support. In addition, the lack of rapid response measures in emergencies makes it difficult to ensure the user's safety.

[1816] 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.

[1817] In this invention, the server includes data collection means for measuring heart rate, blood pressure, body temperature, and location information, terminal means for displaying data acquired from the data collection means via a user interface and analyzing the user's voice and text input to recognize emotions, server means for transmitting data from the terminal means to a cloud environment, detecting abnormal values, analyzing emotional data, and generating a support message, and notification means for notifying the user of a support message based on the abnormal values ​​detected by the server means and the results of the emotion analysis. This allows for comprehensive support of the user in terms of both health data and emotional state, and makes it possible to respond quickly in emergencies.

[1818] The term "elderly" generally refers to people aged 65 or older, including those with special health care and nursing needs.

[1819] "People who need care" refers to people who need assistance from others in their daily lives due to a disability, illness, or other reason.

[1820] "Health status" refers to indicators of an individual's physical condition, such as heart rate, blood pressure, body temperature, and location information.

[1821] "Real-time monitoring" refers to constantly or frequently updating data and keeping the results observable almost immediately.

[1822] "Emotional state" refers to the state of mind a user feels in response to a particular situation or event, and is analyzed through voice or text input.

[1823] "Data collection means" includes devices and equipment used to measure heart rate, blood pressure, body temperature, and location information.

[1824] "Terminal means" refers to a computing device for displaying data acquired from the data collection means via a user interface and for recognizing emotions by analyzing a user's voice and text input.

[1825] A "cloud environment" is a remote server provided over the Internet where data is stored, analyzed, and processed.

[1826] The term "server means" refers to a series of systems that receive and store data, detect outliers, analyze emotion data, and generate support messages in a cloud environment.

[1827] The "notification means" refers to a means for notifying the user of an alert or a support message based on the abnormal values ​​and emotion analysis results detected by the server means.

[1828] "Wristband-shaped" refers to a device that is worn on the wrist.

[1829] "Necklace-shaped" refers to a device that is shaped to be worn around the neck.

[1830] "Emergency Notification Button" means a device that includes a button that can be operated to immediately alert someone in an emergency.

[1831] A "help message" is a message containing advice or information that is generated by the server means and sent to the user.

[1832] This invention is a system that monitors the health status of elderly people or people requiring care in real time and recognizes the user's emotions. This system not only detects abnormalities in health data but also grasps the user's emotional state, enabling more appropriate responses and support.

[1833] System configuration

[1834] Data collection methods

[1835] The data collection method is a wristband or necklace-shaped wearable device worn by elderly people and those in need of care. The device is equipped with sensors to measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to send an immediate emergency alert in case of an emergency.

[1836] Terminal means

[1837] The terminal means is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the function of sending a warning to the user via push notification if an abnormality is detected. It also has a built-in emotion engine that analyzes the user's voice and text input to recognize emotions.

[1838] Server Means

[1839] The server means is a server system deployed on the cloud. It receives and stores data sent from the terminal means and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has the function of sending an appropriate support message based on the user's emotional information recognized by the emotion engine.

[1840] Notification means

[1841] The notification method is a mechanism for instantly notifying users of abnormalities detected by the server method and emotional states recognized by the emotion engine. Various notification methods are supported, including push notifications, SMS, and email.

[1842] Specific processing of the program

[1843] Health data collection

[1844] Device: The wearable device measures heart rate, blood pressure, body temperature, and location information in real time and transmits this data to the user's smartphone via Bluetooth.

[1845] Sending data to the cloud server

[1846] Server: The smartphone transfers the received data to the cloud server via the Internet. The data is encrypted and sent securely.

[1847] Data analysis

[1848] Server: The cloud server analyzes the received data using AI algorithms to detect abnormal patterns such as abnormally high heart rate or low blood pressure.

[1849] Notification when an abnormality is detected

[1850] Server: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result.

[1851] Device: The device triggers a push notification to alert the user.

[1852] Emotional Data Recognition and Analysis

[1853] On the device: When a user inputs voice or text into the app, the emotion engine analyzes the input and recognizes the user's emotional state.

[1854] Server: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, it generates a message such as "Take a deep breath to relax."

[1855] Emergency call function

[1856] Device: When a parent presses the emergency SOS button on the device, an emergency signal is immediately sent to the smartphone.

[1857] Server: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts (user, next of kin, care facility, etc.) containing location information and details of the emergency situation.

[1858] User: Receives an alert notification, opens the app to check their parent's current location and emergency situation, and if necessary, calls an ambulance or rushes to their parent's side.

[1859] Specific examples

[1860] For example, let's say your parents spend the day at home.

[1861] Device: The parent's device periodically measures their heart rate to ensure it's within a normal range, but if their heart rate suddenly exceeds 120, the device sends this data to the parent's smartphone.

[1862] Server: The smartphone transfers the received data to a cloud server, where the server's AI algorithm detects abnormalities in the heart rate and issues an alert.

[1863] User: A push notification is sent to the smartphone, and the user checks the notification. They learn that their parent's heart rate is abnormal and open the app to view more information. Furthermore, if the user enters their concerns about their parent's safety within the app, the emotion engine analyzes this and generates a supportive message, such as, "We recommend that you contact a medical institution to ensure your parent's safety."

[1864] Prompt Sentence Examples

[1865] "How do I respond if my parent's heart rate is abnormally high?"

[1866] By inputting this prompt into the AI ​​model, it can provide prompt and appropriate advice when a parent's heart rate reaches 120 BPM.The system not only monitors the health of the elderly and those in need of care, but also takes into account the user's emotional state to provide appropriate assistance and advice.

[1867] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1868] Specific flow of program processing

[1869] Step 1: Collect data

[1870] Device:

[1871] Input: Wearable device measures heart rate, blood pressure, temperature, and location in real time.

[1872] Output: Measured data (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[1873] How it works: A wristband or necklace-style device continuously monitors the parent's physical condition and periodically updates the data, which is then sent via Bluetooth to the parent's smartphone.

[1874] Step 2: Sending data

[1875] server:

[1876] Input: Data received by smartphone (heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5 degrees, location information)

[1877] Output: Encrypted data transferred to the cloud server

[1878] How it works: The smartphone receives data via Bluetooth and sends it to a cloud server over the Internet. The data is encrypted using the SSL / TLS protocol to ensure secure communication.

[1879] Step 3: Analyze the data

[1880] server:

[1881] Input: Encrypted data sent to the cloud server (e.g., heart rate 75 BPM, blood pressure 120 / 80 mmHg, body temperature 36.5°C, location information)

[1882] Output: Analysis results (e.g., evaluation of normal or abnormal conditions)

[1883] How it works: AI algorithms on a cloud server analyze the incoming data and compare it with historical data and known health standards. They evaluate heart rate, blood pressure, and other data in real time to check for abnormalities. For example, they check to see if your heart rate is above 100 BPM.

[1884] Step 4: Notification when an anomaly is detected

[1885] server:

[1886] Input: Analysis result (e.g. heart rate exceeds 120 BPM)

[1887] Output: Anomaly detection message (e.g., a warning that the heart rate is too high)

[1888] Specific operation: When the cloud server detects an abnormality, it immediately generates an abnormality detection message and sends the data to notify the smartphone.

[1889] Device:

[1890] Input: Anomaly detection message

[1891] Output: Push notification (e.g., abnormal heart rate warning)

[1892] Specific operation: The smartphone receives the anomaly detection message from the server and sends a push notification to the user. The user checks the notification and opens the app to check the details.

[1893] Step 5: Collect and analyze emotion data

[1894] Device:

[1895] Input: User voice or text input (e.g., "I've been worried about my parents' health lately.")

[1896] Output: Analyzed emotion data (e.g., stress state)

[1897] How it works: When a user inputs their emotions into the app via voice or text, the emotion engine analyzes the input data and recognizes the user's emotional state.

[1898] server:

[1899] Input: Analyzed emotion data (e.g., stress state)

[1900] Output: Supportive message (e.g., "Take a deep breath and relax")

[1901] Specific operation: The cloud server analyzes the emotional data and generates appropriate support messages as needed. The generated messages are then sent to the smartphone.

[1902] Step 6: Emergency Call Function

[1903] Device:

[1904] Input: Parent presses Emergency SOS button on device

[1905] Output: Emergency signal (e.g. emergency alert with parent's location)

[1906] How it works: When a parent presses the emergency SOS button on the device, an emergency signal containing their location is sent to their smartphone.

[1907] server:

[1908] Input: Received emergency signal (parent location)

[1909] Output: Emergency alert (e.g., notification to designated emergency contacts)

[1910] What it does: When the server receives an emergency signal, it sends an alert to pre-defined emergency contacts, including the parent's location and details of the emergency situation.

[1911] User:

[1912] Input: Received emergency alert (parent location and emergency status)

[1913] Output: Appropriate response (e.g., calling an ambulance or rushing to the parents' side)

[1914] What happens: The user sees the alert, opens the app, checks the parent's current location and emergency situation, and, if necessary, dispatches an ambulance or rushes to the parent's side.

[1915] Prompt Sentence Examples

[1916] "How do I respond if my parent's heart rate is abnormally high?"

[1917] (Application example 2)

[1918] 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."

[1919] There is a need not only to monitor the health status of the elderly and people requiring care in real time, but also to provide a safe and active environment in public places such as stores. Furthermore, conventional technologies are limited to monitoring abnormal health conditions and do not provide support or responses based on the user's emotional state. Therefore, the realization of a system that can reduce the user's psychological burden and provide appropriate support is a challenge.

[1920] 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 a data collection means for measuring heart rate, blood pressure, body temperature, and location information, a terminal means for displaying data acquired from the data collection means via a user interface, a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values, a notification means for notifying the user of the abnormal value detected by the server means, an emotion analysis means for analyzing emotion information, and an assistance message generation means for generating an assistance message based on the analysis results. This makes it possible to monitor the health and emotional states of elderly people and people requiring care in real time, and to immediately notify and provide an appropriate assistance message if an abnormality is detected.

[1921] "Elderly people" are people whose physical functions have declined with age and who require a certain level of support and consideration in their daily lives.

[1922] "People who need nursing care" are those who have difficulty living independently in their daily lives due to illness or disability, and who require support and assistance from others.

[1923] "Health" refers to the health and functioning of the body, including heart rate, blood pressure, temperature, and location.

[1924] "Real-time monitoring" means acquiring data continuously and instantaneously and understanding the status immediately.

[1925] "Data collection means" refers to devices or systems for measuring and obtaining heart rate, blood pressure, body temperature, and location information.

[1926] "User interface" refers to a display means that allows a user to visually check data via a terminal means.

[1927] "Terminal means" refers to a device or system for displaying data acquired from the data collection means and transferring it to a cloud environment.

[1928] A "cloud environment" is an infrastructure consisting of remote servers for sending, receiving, and processing data over the Internet.

[1929] An "outlier" is data that deviates significantly from normal health conditions.

[1930] "Server means" refers to a device or system that receives and analyzes data on a server located in a cloud environment.

[1931] The "notification means" refers to a device or system for notifying the user of information from the server means.

[1932] "Emotion analysis means" refers to a device or system that analyzes a user's voice or text input and recognizes their emotional state.

[1933] The "support message generating means" refers to a device or system for generating an appropriate support message for the user based on the analyzed emotional state.

[1934] System Configuration

[1935] The system of the present invention aims to monitor the health and emotional states of elderly people and people who require care in real time and provide appropriate support so that they can move around safely in physical stores. The specific components of the system and their functions are described below.

[1936] Device (data collection method)

[1937] This wristband- or necklace-shaped wearable device is designed for the elderly and those in need of care. It contains sensors that continuously measure heart rate, blood pressure, body temperature, and location information. It also has an SOS button that can be pressed to instantly send an emergency alert in case of an emergency.

[1938] Terminal means

[1939] It is a dedicated application installed on the user's smartphone or tablet. It displays data acquired from the device via Bluetooth and transfers it to a cloud server. It also has the ability to send a warning to the user via push notification if an abnormality is detected. It also incorporates an emotion analysis function that analyzes the user's voice and text input to recognize emotions.

[1940] Server Means

[1941] This is a server system deployed on the cloud. It receives and stores data sent from the terminal means, and analyzes the data using an AI algorithm. If an abnormality is detected, it immediately notifies the user through the notification means. It also has a support message generation means that generates an appropriate support message based on the user's emotional information recognized by the emotion analysis means.

[1942] System Operation

[1943] Health Data Collection and Transmission

[1944] Terminal means: Devices worn by elderly people and those requiring care measure heart rate, blood pressure, body temperature, and location information in real time. This data is sent via Bluetooth to the terminal means (smartphone or tablet).

[1945] Server means: The data received by the terminal means is transferred to the cloud server via the Internet. The data is encrypted at the server and transmitted securely.

[1946] Data analysis and notification

[1947] Server means: The data received by the cloud server is analyzed by an AI algorithm. The data is evaluated in real time to detect abnormalities such as heart rate and blood pressure.

[1948] Notification means: When an abnormality is detected, the server immediately notifies the terminal means of the abnormal data and the detection result. The terminal means then sends a warning to the user via push notification.

[1949] Example: If a user's heart rate rises abnormally while shopping in a physical store, data from the device is sent to a server via the terminal means. The server detects the abnormality and sends a notification to the store staff.

[1950] Sentiment analysis and support messages

[1951] Terminal means: When a user inputs voice or text into the app, the emotion analysis means analyzes the input and recognizes the user's emotional state. This emotional state is then sent to the cloud server.

[1952] Server means: The cloud server analyzes the received emotional data and generates appropriate support messages as needed. For example, if the emotional data indicates that the user is feeling stressed, a message such as "Take a deep breath to relax" is generated.

[1953] Example: If a user says "I'm tired," the emotion analysis means analyzes this, and generates a support message such as "I recommend you move to a rest area," and notifies the user.

[1954] Emergency response

[1955] Terminal means: When a user presses the emergency SOS button mounted on the device, an emergency signal is immediately transmitted to the terminal means.

[1956] Server Method: Upon receiving an emergency signal, the server sends an alert to pre-defined emergency contacts, including location information and details of the emergency situation.

[1957] Example: If a user collapses in a store, pressing the SOS button will send an emergency signal from the terminal means to the server, which will then send a notification to the emergency contact.

[1958] Prompt Sentence Examples

[1959] “When a customer says, ‘I’m tired,’ generate an appropriate support message.

[1960] Prompt: A customer says, "I'm tired." Generate a supportive message.

[1961] In this way, the system of the present invention provides an environment where elderly people and people who need care can safely and securely engage in activities in physical stores.

[1962] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1963] Step 1:

[1964] The data collection means measures heart rate, blood pressure, body temperature, and location information in real time, which is then captured by the device and transmitted via Bluetooth to the terminal means (smartphone or tablet).

[1965] Input: Real-time heart rate, blood pressure, temperature, and location.

[1966] Output: Health data transmitted to terminal means.

[1967] Specific operation: The wearable device uses sensors to measure the user's health data and transmits it to a smartphone via a Bluetooth communication module.

[1968] Step 2:

[1969] The terminal means transfers the health data received from the data collection means to the cloud server, where the health data is stored and encrypted.

[1970] Input: Health data received by the terminal means.

[1971] Output: Health data sent to cloud server.

[1972] Specific operation: The dedicated application encrypts the data received via Bluetooth using HTTPS and sends it to the cloud server.

[1973] Step 3:

[1974] The health data received by the server is analyzed using AI algorithms, detecting abnormalities in heart rate and blood pressure and generating abnormality alerts as necessary.

[1975] Input: Health data stored on a cloud server.

[1976] Output: Anomaly alert.

[1977] How it works: The server runs AI algorithms to analyze health data stored in a database and detect abnormalities. If an abnormality is detected, an alert is generated and sent to the notification system.

[1978] Step 4:

[1979] The server notifies the generated abnormality alert to the terminal means, and the terminal means issues a warning to the user via push notification.

[1980] Input: Anomaly alert sent from the server.

[1981] Output: The push notification sent to the user.

[1982] Specific operation: The server uses the notification system to send an abnormality alert to the cloud messaging service, which is then received by the terminal means and presented to the user as a push notification.

[1983] Step 5:

[1984] The terminal means receives the user's voice input or text input, which the emotion analysis means analyzes, recognizes the user's emotional state, and transmits the data to the cloud server.

[1985] Input: User's voice or text input.

[1986] Output: Parsed emotion data.

[1987] How it works: When a user inputs voice or text into the app, the sentiment analysis engine runs internally and generates sentiment analysis results, which are then sent to a cloud server.

[1988] Step 6:

[1989] Based on the received emotion data, the server uses an AI model to generate an appropriate support message, which is then sent to the device via a cloud messaging service.

[1990] Input: Parsed emotion data.

[1991] Output: The generated assistance message.

[1992] Specific operation: The server analyzes the emotion data and generates a support message using an AI model, which is then sent to the device via a cloud messaging service and presented to the user.

[1993] Step 7:

[1994] The terminal means monitors the state of the emergency SOS button mounted on the device, and when an emergency signal is sent, immediately transmits the emergency signal to the cloud server.

[1995] Input: SOS button press information.

[1996] Output: Emergency signal sent to cloud server.

[1997] Specific operation: When the device detects that the SOS button has been pressed, it sends that information to the terminal means, which then immediately sends an emergency signal to the cloud server, which then initiates an emergency response.

[1998] Step 8:

[1999] The server receives the emergency signal and sends an alert and location information to the emergency contacts you have set up, informing them of your current location and health status, encouraging a prompt response.

[2000] Input: Emergency signal and location information sent from the terminal means.

[2001] Output: Alert and location sent to emergency contacts.

[2002] Specific operation: When the server receives an emergency signal, it sends an alert via SMS or email to pre-set emergency contacts (family members, nursing homes, medical institutions) and notifies them of the user's location and current health condition.

[2003] This process allows elderly people and those in need of care to enjoy safe shopping in physical stores, while also monitoring their health and emotional state in real time and providing appropriate support.

[2004] 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.

[2005] 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.

[2006] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[2007] 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.

[2008] 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.

[2009] 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.

[2010] 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).

[2011] 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.

[2012] 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."

[2013] 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 determin...

Claims

1. A system for monitoring the health status of an elderly person or a person requiring care in real time, comprising: a data collection means for measuring heart rate, blood pressure, body temperature, and location information; a terminal means for displaying the data acquired from the data collection means via a user interface; a server means for transmitting data from the terminal means to a cloud environment and detecting abnormal values; a notification means for notifying a user of an abnormal value detected by the server means; A system including:

2. 2. The system of claim 1, wherein the data collection means is a wristband-shaped or necklace-shaped device.

3. 2. The system of claim 1, wherein the data collection means includes an emergency notification button for sending an SOS alert to the user in the event of an emergency.

4. The system according to claim 1, wherein the server means has an AI data analysis function and performs abnormal value detection and health checkups.

5. 2. The system according to claim 1, wherein the terminal means and the server means use voice recognition technology to perform voice communication between the user and the device owner.

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