System

Abstract

A system is provided.SOLUTION: The system includes an electric stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the sleep pattern of the user, a notification means for notifying the timing of the eye lotion, and a server means for managing data obtained from the respective 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] In modern society, eye fatigue and dry eyes are on the rise due to the prolonged use of digital devices. People who use PCs and smartphones on a daily basis, such as office workers and students, often fail to take adequate care of their eyes. It is also difficult to know when to use eye drops, which can lead to inadequate eye care. Conventional methods offer limited means for real-time monitoring and comprehensive management of eye health, so these issues need to be addressed. [Means for solving the problem]

[0005] The present invention provides a system that includes an electrical stimulation device that relaxes the muscles around the eyes, a camera device that monitors the state of the pupils, a sensor device that analyzes the user's sleep patterns, a notification device that notifies the user when to use eye drops, and a server device that manages the data obtained from each of these devices. Furthermore, by adding a data management device that stores, analyzes, and displays the user's eye health data on a smartphone app, and by including an alert device that notifies the user of abnormalities based on the state of the pupils, the system provides a system that can monitor and comprehensively manage the health of the eyes in real time.

[0006] An "electrical stimulation device" is a device that sends a small electric current to relax the muscles around the eyes.

[0007] "Camera means" means a device that captures images of the eye for the purpose of monitoring pupil status.

[0008] The "sensor means" is a device that detects the user's sleep patterns and body movements and acquires data.

[0009] The "notification means" is a device that uses sound, vibration, or light to notify the user when it is time to administer eye drops.

[0010] The "server means" is a device that centrally collects, stores, and analyzes data obtained from each means.

[0011] "Data management means" is software or a system for storing data relating to a user's eye health and displaying analysis results.

[0012] The "alert means" is a device that issues a notification to alert the user when an abnormality in the pupil state is detected. [Brief explanation of the drawings]

[0013] [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

[0014] 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.

[0015] First, the terms used in the following description will be explained.

[0016] 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).

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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."

[0021] [First embodiment]

[0022] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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."

[0034] The present invention relates to an AI eye mask system for managing eye health and relieving fatigue, and includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera device that monitors the state of the pupils, a sensor device that analyzes the user's sleep patterns, a notification device that notifies the user when it is time to apply eye drops, and a server device that manages the data obtained from each of these devices.

[0035] A specific embodiment of the system will now be described.

[0036] 1. How Electrical Stimulation Devices (EMS) Work

[0037] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0038] 2. Pupil monitoring function

[0039] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0040] 3. Sleep management function

[0041] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0042] 4. Eye drop timing notification function

[0043] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0044] 5. Data management and app integration

[0045] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0046] The various functions of this system work together to provide comprehensive support for users' eye health management and effectively resolve eye problems caused by prolonged use of digital devices.

[0047] The processing flow will be explained below.

[0048] 1. How Electrical Stimulation Devices (EMS) Work

[0049] Step 1:

[0050] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0051] Step 2:

[0052] The device sets an internal timer based on the settings.

[0053] Step 3:

[0054] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0055] 2. Pupil monitoring function

[0056] Step 1:

[0057] The device periodically captures images of the user's pupils using a built-in camera.

[0058] Step 2:

[0059] The captured pupil data is sent to the server.

[0060] Step 3:

[0061] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0062] Step 4:

[0063] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0064] 3. Sleep management function

[0065] Step 1:

[0066] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0067] Step 2:

[0068] The acquired sleep data is sent to a server.

[0069] Step 3:

[0070] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0071] Step 4:

[0072] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0073] Step 5:

[0074] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0075] 4. Eye drop timing notification function

[0076] Step 1:

[0077] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0078] Step 2:

[0079] The server sets a timer based on the set time.

[0080] Step 3:

[0081] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0082] Step 4:

[0083] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0084] Step 5:

[0085] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0086] 5. Data management and app integration

[0087] Step 1:

[0088] The device periodically sends pupil data, EMS usage data, and sleep data to the server.

[0089] Step 2:

[0090] The server stores the received data in a database and analyzes it as needed.

[0091] Step 3:

[0092] The server sends the analysis results to a smartphone app so that users can view them.

[0093] Step 4:

[0094] Users can open the smartphone app to check their eye health and past data.

[0095] Step 5:

[0096] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[0097] Based on the above processing steps, the entire system works together to support the user's eye health management.

[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] In modern society, long-term use of digital devices is causing serious eye fatigue, making eye health management an important issue. It is not easy to find the right timing for using eye drops or effective methods for relaxing the muscles around the eyes. Furthermore, there is a need for early detection of pupil abnormalities and prompt response. A comprehensive system to solve these issues is needed.

[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 electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to apply eye drops, server means for managing data obtained from each of these means, program means for administering electrical stimulation based on a set schedule, program means for analyzing pupil data in real time and notifying the user of any abnormalities, program means for tracking the user's sleep patterns and administering electrical stimulation at the optimal timing, and program means for notifying the user when to apply eye drops before a specified time. This provides comprehensive support for the user's eye health management and makes it possible to effectively solve eye problems caused by long-term use of digital devices.

[0103] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[0104] The "camera means" is a camera device for capturing the state of the user's pupils.

[0105] "Sensor means" refers to a sensor device for monitoring the user's sleep patterns.

[0106] The "notification means" is a notification device that notifies the user of the timing of eye drops, etc.

[0107] The "server means" is a server device that manages and analyzes the data obtained from each of these means.

[0108] The "program means" is a program for administering electrical stimulation based on a set schedule.

[0109] "Pupil data" refers to data on the state of the user's pupils captured by a camera means.

[0110] "Analyzing in real time" means analyzing received data immediately on the spot.

[0111] The "program means for notifying abnormalities" is a program that analyzes pupil data and notifies the user if an abnormality is detected.

[0112] "Tracking sleep patterns" means continuously monitoring the user's sleep state by means of sensors.

[0113] The "program means for notifying the timing of eye drops" is a program that notifies the user of the timing of using eye drops before a specified time.

[0114] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, a program that applies electrical stimulation according to a set schedule, a program that analyzes pupil data in real time and notifies the user of abnormalities, a program that tracks the user's sleep patterns and applies electrical stimulation at the optimal timing, and a program that notifies the user when to apply eye drops before the specified time.

[0115] 1. EMS function

[0116] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user via a smartphone app. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to activate at 3:00 PM, the device will begin electrical stimulation at the specified time.

[0117] 2. Pupil monitoring function

[0118] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0119] 3. Sleep management function

[0120] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0121] 4. Eye drop timing notification function

[0122] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0123] 5. Data management and app integration

[0124] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0125] Prompt Sentence Examples

[0126] If a user sets the EMS function for 3 PM, how does the device check the setting and what process will be performed at the specified time? Please explain the specific flow.

[0127] By linking multiple functions, this system aims to provide comprehensive support for the user's eye health and effectively resolve eye problems caused by prolonged use of digital devices.

[0128] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0129] Step 1: Configure the EMS feature

[0130] The user opens the smartphone app and accesses the EMS function settings screen. The user inputs the EMS start time and saves the settings. This input data is sent to the application server, where the settings information is saved.

[0131] Step 2: Start the EMS function

[0132] The device activates the EMS function at the specified time. Specifically, the microcontroller inside the device monitors the set time and, when the specified time arrives, sends a command to send a small current to the electrical stimulation device. This activates the EMS and relaxes the eye muscles. The input is setting information from the server, and the output is the start of electrical stimulation.

[0133] Step 3: Capture the pupil

[0134] The device uses a built-in camera to capture the state of the user's pupils. As input, the camera is activated based on the specified time or condition to acquire image data. This image data is pre-processed locally and then sent to the server.

[0135] Step 4: Analyzing pupil data

[0136] The server receives the transmitted pupil data and analyzes it in real time using an AI model. Specifically, it uses an image analysis algorithm to analyze pupil size and reaction speed and determine whether there are any abnormalities. The input is the pupil image data sent from the device, and the output is the analysis results. If an abnormality is detected, a notification is sent.

[0137] Step 5: Monitor your sleep patterns

[0138] The sensors built into the device collect the user's sleep data (heart rate, movement, etc.). This sensor data is temporarily stored inside the device and sent to the server at specified intervals. The input is the data acquired by the sensors, and the output is the sensor data sent to the server.

[0139] Step 6: Analyze your sleep data

[0140] The server receives the transmitted sleep data and applies a data analysis algorithm to analyze the user's sleep patterns, thereby assessing the user's sleep quality and determining the optimal timing for EMS activation. The input is the sleep data sent from the sensor, and the output is the analysis results and the determination of the appropriate EMS activation timing.

[0141] Step 7: Set the timing for your eye drops

[0142] The user inputs and saves the time to apply eye drops using a smartphone app. The server receives the input and stores it in a related database.

[0143] Step 8: Notification of eye drop timing

[0144] When the specified time approaches, the device will notify the user by sound or vibration when it is time to put in eye drops. The input is timing data from the server, and the output is a notification to the user. For example, if a user sets the time to put in eye drops at 10:00 AM and 3:00 PM, the device will notify the user just before those times.

[0145] Step 9: Assemble and provide data

[0146] The device periodically sends the various data it acquires (pupil data, EMS usage data, sleep data) to a server. The server collects and analyzes this data and displays the results on a smartphone app. The input is data from the device, and the output is the analysis results provided to the user via the app. For example, by opening the app, a user can view their eye health data and advice for the past month.

[0147] (Application example 1)

[0148] 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."

[0149] Conventional eye health management systems only provide individual functions such as alleviating user eye fatigue, analyzing sleep patterns, and notifying users when to use eye drops, and do not provide comprehensive eye care. Furthermore, there was a lack of an appropriate system for efficiently managing eye health and stress for security guards who work nights or long hours. This led to the accumulation of eye fatigue and stress from long hours of work, posing a challenge to ensuring safety.

[0150] 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.

[0151] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to use eye drops, server means for managing the data obtained from each of these means, stress management means for supporting the stress management of the security guard, alert means for detecting abnormalities in the security guard's pupils in real time and issuing an alert if any abnormalities are detected, and sleep management means for monitoring the health of the security guard. This provides comprehensive eye care and stress management for security guards who perform long hours of monitoring work, in addition to conventional eye health management systems, making it possible to ensure the safety and health of users.

[0152] An "electrical stimulation device" is a device that sends a small electric current to relax the muscles around the eyes.

[0153] "Camera means" refers to an optical device for monitoring the state of the user's pupils.

[0154] "Sensor means" refers to a measurement device for detecting and analyzing a user's sleep patterns.

[0155] The "notification means" is an alert function that notifies the user of the optimal timing to apply eye drops.

[0156] The "server means" is an information processing device for collecting, storing, and analyzing data obtained from each means.

[0157] A "stress management device" is a device for managing the stress level of security guards and promoting relaxation.

[0158] The "vigilance alert means" is a device that detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected.

[0159] The "sleep management tool" is a device that monitors the health of security guards and provides optimal eye care.

[0160] This invention relates to an AI eye guard system that provides comprehensive support for security guards' eye health and stress management, and is designed to ensure the health and safety of security guards during long hours of work.

[0161] 1. System Configuration

[0162] The system consists of the following main components:

[0163] Electrical Stimulation Device (EMS): This is a device that delivers a small electrical current to relax the muscles around the eyes. The EMS is built into the smart glasses and operates on a specified schedule.

[0164] Camera means: This device is an optical device for monitoring the pupil state of the guards. It captures the pupil state and transmits the data to the server.

[0165] Sensor means: A measuring device for detecting and analyzing the sleep patterns of security guards. The built-in sensor monitors sleep patterns and transmits the data to a server.

[0166] Notification: An alert function that notifies the guard when it is best to apply eye drops, making vision management easier.

[0167] Server means: An information processing device that aggregates, stores, and analyzes data obtained from each means. The server performs calculations necessary for stress management and abnormality detection, and issues necessary notifications.

[0168] Stress management tool: A device to manage the stress level of security guards and promote relaxation. For example, the EMS function can be used to promote eye relaxation during long shifts.

[0169] Alerting means: This device detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected. When an abnormality is detected, an alert is issued from the server.

[0170] Sleep management tool: A device that monitors the health of guards and provides optimal eye care.

[0171] 2. Data Acquisition and Management

[0172] The server aggregates and stores data obtained from each method. For example, pupil status data, EMS usage data, and sleep pattern data are collected and analyzed in real time. The analysis results are notified to security personnel as needed.

[0173] 3. Notifications and Alerts

[0174] The notification method not only notifies guards when it is time to use eye drops, but also notifies them if their stress levels are high or if there is an abnormality in their pupils, allowing them to take appropriate action in a timely manner and ensuring the safety and health of guards.

[0175] 4. Examples and prompts

[0176] For example, when a security guard on night patrol uses this AI Eye Guard system, he or she can effectively alleviate eye fatigue and constantly monitor pupil abnormalities. Furthermore, if drowsiness is detected, an alarm will sound immediately and notify the guard when it is appropriate to administer eye drops, helping the guard to maintain focus and ensure safety.

[0177] Example prompt sentence:

[0178] "During night patrols, the AI ​​Eye Guard system is used to manage fatigue and drowsiness and monitor health conditions. It notifies the driver if there is an abnormality in the pupils' condition, and issues an alert and initiates EMS functions if drowsiness occurs. The system continues to notify the driver when it is appropriate to administer eye drops."

[0179] By combining the various functions of the present invention, it is possible to provide comprehensive eye health management and stress management for security guards, significantly improving safety during nighttime and long-term surveillance work.

[0180] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0181] Step 1:

[0182] Stress management measures in action

[0183] The server periodically receives data on the guard's EMS usage from the device (smart glasses). Input data includes the time and frequency of EMS usage. The server calculates the stress level based on this data and displays the result as the degree of eye fatigue. The server also sets the EMS function to automatically activate if the stress level is high. For example, if the EMS is used frequently during long periods of continuous monitoring work, the server determines that the stress level is rising and activates the EMS function again to promote relaxation.

[0184] Step 2:

[0185] Pupil monitoring function

[0186] The device uses a built-in camera to capture images of the guard's pupils and sends the image data to a server. The input data is an image of the pupils, which the server analyzes to obtain parameters such as pupil diameter and reaction speed. If the analysis results are outside the normal range, the server sends an alert to alert the guard. For example, if the pupils' reaction is delayed, a warning may be issued indicating that fatigue is accumulating.

[0187] Step 3:

[0188] Sleep management function

[0189] The device's built-in sensors monitor the guard's sleep patterns and send the acquired data to a server. The input data includes heart rate and body movements, and the server analyzes this data to evaluate the quality of sleep. If it determines that the guard is not getting enough deep sleep, the server uses the EMS function to encourage relaxation. Additionally, if drowsiness is detected during nighttime monitoring, an alert will be activated to wake the guard. For example, if an irregular heart rate is detected, it will be determined that the guard is becoming increasingly drowsy, and the EMS function and alert will be activated simultaneously.

[0190] Step 4:

[0191] Eye drop timing notification function

[0192] The user (security guard) sets the timing for applying eye drops in a smartphone app. The server calculates the appropriate timing based on the setting data, monitoring the eye moisture and pupil state. The input data includes the set timing for applying eye drops and actual eye condition data, and the server compares these and sends a notification to the device when it is time to apply eye drops. For example, if a security guard sets the time to apply eye drops at 10:00 AM and 3:00 PM, the server will measure the dryness of the eyes beforehand and, if necessary, notify the user earlier than the scheduled time.

[0193] Step 5:

[0194] Data Management and Analytics

[0195] The server centrally manages data sent from each means and analyzes it in real time. Input data includes EMS usage data, pupil data, sleep pattern data, and eye drop usage data. The server integrates this data and monitors the health of security guards. For example, it analyzes data from the past week and creates a detailed report on days when stress levels were particularly high or when pupil abnormalities were detected, which can be used to improve future operations.

[0196] 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.

[0197] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue, incorporating an emotion engine that recognizes the user's emotions. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, and the emotion engine that recognizes the user's emotions.

[0198] A specific embodiment of the system will now be described.

[0199] 1. How Electrical Stimulation Devices (EMS) Work

[0200] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0201] 2. Pupil monitoring function

[0202] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0203] 3. Sleep management function

[0204] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0205] 4. Eye drop timing notification function

[0206] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0207] 5. Operation of the Emotion Engine

[0208] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0209] 6. Collaboration based on emotional data

[0210] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of EMS use or adjusting the timing of eye drops.

[0211] 7. Data management and app integration

[0212] The device periodically transmits the acquired pupil data, EMS usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0213] In this way, a system that combines an emotion engine not only provides comprehensive support for the user's eye health management, but also provides individualized care according to the user's emotional state.

[0214] The processing flow will be explained below.

[0215] 1. How Electrical Stimulation Devices (EMS) Work

[0216] Step 1:

[0217] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0218] Step 2:

[0219] The device sets an internal timer based on the settings.

[0220] Step 3:

[0221] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0222] 2. Pupil monitoring function

[0223] Step 1:

[0224] The device periodically captures images of the user's pupils using a built-in camera.

[0225] Step 2:

[0226] The captured pupil data is sent to the server.

[0227] Step 3:

[0228] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0229] Step 4:

[0230] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0231] 3. Sleep management function

[0232] Step 1:

[0233] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0234] Step 2:

[0235] The acquired sleep data is sent to a server.

[0236] Step 3:

[0237] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0238] Step 4:

[0239] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0240] Step 5:

[0241] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0242] 4. Eye drop timing notification function

[0243] Step 1:

[0244] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0245] Step 2:

[0246] The server sets a timer based on the set time.

[0247] Step 3:

[0248] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0249] Step 4:

[0250] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0251] Step 5:

[0252] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0253] 5. Operation of the Emotion Engine

[0254] Step 1:

[0255] The device uses a camera and microphone to capture the user's facial expressions and voice.

[0256] Step 2:

[0257] The emotion engine in the device analyzes the captured data and determines the user's emotion, for example, that the user is feeling stressed.

[0258] Step 3:

[0259] Emotion data is sent to the server.

[0260] 6. Collaboration based on emotional data

[0261] Step 1:

[0262] The server analyzes the emotion data along with pupil and sleep data.

[0263] Step 2:

[0264] The server adjusts the user's care plan based on the analysis results, for example, "Because you are feeling stressed, increase the frequency of use of the EMS function."

[0265] Step 3:

[0266] The adjustment results are notified to a smartphone app, and advice is provided to the user.

[0267] 7. Data management and app integration

[0268] Step 1:

[0269] The device periodically sends pupil data, EMS usage data, sleep data, and emotion data to the server.

[0270] Step 2:

[0271] The server stores the received data in a database and analyzes it as needed.

[0272] Step 3:

[0273] The server sends the analysis results to a smartphone app so that users can view them.

[0274] Step 4:

[0275] Users can open the smartphone app to check their eye health and past data.

[0276] Step 5:

[0277] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[0278] Based on the above processing steps, the entire system works together to provide comprehensive support for the user's eye health management.

[0279] Example 2

[0280] 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."

[0281] Conventional eye health management systems often do not provide sufficient care for users' eyes, and are unable to provide individualized care according to the user's emotional state. This makes it difficult for users to accurately manage their health and alleviate fatigue. Furthermore, there are few systems that can manage and analyze multiple health data in an integrated manner.

[0282] 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.

[0283] In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to apply eye drops, an emotion engine means for recognizing the user's emotions, and a server means for managing and analyzing data obtained from each of these means. This makes it possible to comprehensively manage the user's eye health and provide individualized care according to their emotional state.

[0284] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[0285] The "camera means" is a device for photographing the state of the user's pupils and collecting that data.

[0286] "Sensor means" refers to a device that detects the user's sleep patterns and collects and analyzes the data.

[0287] The "notification means" is a device or function for notifying the user when it is time to apply eye drops.

[0288] The "emotion engine means" is a device or software for analyzing the user's facial expressions and voice and recognizing the user's emotional state.

[0289] The "server means" is a central management device that manages and analyzes various data and performs comprehensive eye health management.

[0290] "Data management means" refers to a device or software that stores and analyzes a user's eye health data and emotional data and displays the results on the user's device.

[0291] The "alert means" is a device or function for notifying the user when an abnormality is detected based on the pupil state and emotion data.

[0292] This invention relates to an AI eye mask system for the purpose of managing eye health and relieving fatigue. The invention includes the following components to comprehensively manage eye health, including the user's emotional state:

[0293] How Electrical Stimulation Devices (EMS) Work

[0294] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes to relax them. This electrical stimulation is performed based on a schedule set by the user through a smartphone app. For example, if the user sets the electrical stimulation to occur at 3:00 PM, the device will begin the electrical stimulation at the specified time.

[0295] Pupil monitoring function

[0296] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0297] Sleep management function

[0298] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It can also automatically activate an electrical stimulation system (EMS) during deep sleep. For example, while the user is wearing an eye mask, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0299] Eye drop timing notification function

[0300] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies the user when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify the user at the appropriate times with sound or vibration.

[0301] Emotion Engine Operation

[0302] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0303] Collaboration function based on emotion data

[0304] The server comprehensively analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops.

[0305] Data management and app integration

[0306] The device periodically transmits the acquired pupil data, electrical stimulation means (EMS) usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0307] Specific examples

[0308] Example prompt sentence:

[0309] "Activate the Electrical Stimulation Device (EMS) at 3 PM, obtain pupil monitoring data, and send it to the server. If the user is feeling stressed, notify them and suggest ways to relax in the app."

[0310] In this way, a system that combines an emotion engine can provide comprehensive support for the user's eye health management and provide individualized care according to the user's emotional state.

[0311] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0312] Step 1:

[0313] The user inputs settings through a smartphone app. The input settings include the EMS schedule, eye drop timing, and other health management parameters. For example, by inputting a setting to start the EMS at 3:00 PM, the device saves this setting in its internal memory and prepares to start operation at the specified time. The input data is the EMS schedule and eye drop timing settings, and the output is saving this data in its internal memory.

[0314] Step 2:

[0315] The device activates the electrical stimulation means (EMS) based on the set time. Based on the setting information retrieved from the internal memory, the EMS sends a small current at the specified time to relax the muscles around the eyes. For example, the EMS is activated at 3:00 PM to apply electrical stimulation around the eyes, thereby relieving eye fatigue. The input data is the EMS schedule, and the output is the relaxed state of the muscles around the eyes.

[0316] Step 3:

[0317] The device captures the state of the pupils with its built-in camera and sends the data to a server. The captured image data is analyzed on the server to measure pupil reaction and size. For example, the camera could take a photo of the pupils every hour and upload the data to the server. If an abnormality is detected as a result of data analysis, a notification is sent to the user. The input data is the pupil image, and the output is the pupil state analysis result and an abnormality notification.

[0318] Step 4:

[0319] The device monitors sleep patterns using built-in sensors. The data acquired by the sensors is sent to a server, which analyzes sleep quality and patterns. For example, the device monitors the user's movements and heart rate while they sleep at night and sends this data to the server at 6:00 AM. The server analyzes the data and provides the user with advice to promote good quality sleep. The input data is sleep pattern data, and the output is sleep quality analysis results and advice.

[0320] Step 5:

[0321] The server manages the timing of eye drops based on the user's settings and notifies the user via the device. A timer is set based on the settings information, and the optimal timing is provided taking into consideration the state of the eyes and the analysis results of the emotion engine. For example, if the settings are to apply eye drops at 10:00 AM and 3:00 PM, the device will notify the user five minutes before those times with sound and vibration. The input data is the eye drop timing setting, and the output is the eye drop timing notification.

[0322] Step 6:

[0323] The device's built-in emotion engine recognizes emotions from the user's facial and voice data and sends that data to a server. The server then integrates the emotion data with other health data for analysis. For example, if the user is feeling stressed, that information is recognized by the emotion engine and sent to the server. The input data is facial and voice data, and the output is the emotion recognition results.

[0324] Step 7:

[0325] The server analyzes all data based on emotional data and proposes the optimal care plan for the user. For example, if the user is feeling stressed, it may advise increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops. The input data is health data and emotional data, and the output is the optimal care plan.

[0326] Step 8:

[0327] The device periodically transmits pupil data, EMS usage data, sleep data, and emotional data to a server, which then collects, stores, and analyzes the data. Users can check their eye health status and past data through a smartphone app. For example, by opening the app and viewing data from the past month, users can take comprehensive eye care measures. The input data is various health data, and the output is a comprehensive health analysis and advice.

[0328] (Application example 2)

[0329] 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."

[0330] Existing systems aimed at managing eye health and alleviating fatigue include features such as electrical stimulation, pupil monitoring, and sleep pattern analysis, but no systems offer personalized care suggestions based on the user's emotional state or link to e-commerce platforms. This poses a challenge in providing a service that combines detailed health management with purchasing suggestions based on that information.

[0331] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to use eye drops, an emotion engine means for analyzing emotion data and proposing an individualized care plan, and an e-commerce linkage means for connecting to an e-commerce platform using user data. This makes it possible to simultaneously provide individualized care suggestions based on the user's emotional state and timely purchase suggestions.

[0332] An "electrical stimulation device" is a device that sends a small electric current to the muscles around the eyes to promote relaxation and relieve fatigue.

[0333] The "camera means" is a camera device for monitoring the state of the user's pupils and acquiring data.

[0334] "Sensor means" refers to a sensor device that acquires the data necessary to analyze the user's sleep patterns.

[0335] The "notification means" is a device or system for notifying the user of the timing of eye drops or any abnormalities.

[0336] The "server means" is a central management device that manages, stores, and analyzes the data acquired by each means, and provides an optimal care plan.

[0337] The "emotion engine means" is an analysis device that analyzes the user's emotions from facial expressions and voice data, and proposes an individual care plan based on the results.

[0338] The "electronic commerce linking means" is a system that uses the user's health data to link with an electronic commerce platform and make product purchase suggestions at the appropriate time.

[0339] This invention relates to an AI eye mask system that incorporates an emotion engine that analyzes user emotion data and e-commerce linkage means, with the aim of managing eye health and alleviating fatigue. This system is implemented by combining the following elements:

[0340] 1. How Electrical Stimulation Devices (EMS) Work

[0341] The device uses a built-in electrical stimulation device (EMS) to send a small current to the muscles around the eyes based on a user-set schedule, which relaxes the eye muscles and reduces fatigue. For example, if the user sets the EMS function to activate at 3:00 p.m., electrical stimulation will begin at the specified time.

[0342] 2. Pupil monitoring function

[0343] The device's built-in camera captures the user's pupil state and sends the data to a server. The server analyzes the received pupil data in real time and notifies the user via a smartphone app if an abnormality is detected. For example, if the pupil reaction is slower than normal, the server will send a notification suggesting a possible abnormality.

[0344] 3. Sleep management function

[0345] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server then analyzes the data and provides advice to the user on how to improve their sleep. For example, while the user is wearing an eye mask, the system can track the depth of their sleep and automatically activate the EMS function at the optimal time.

[0346] 4. Eye drop timing notification function

[0347] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0348] 5. Operation of the Emotion Engine

[0349] The device's built-in emotion engine recognizes emotions from the user's facial expressions and voice data and sends the data to a server. The server then integrates and analyzes the emotion data with other health data to provide a personalized care plan based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0350] 6. E-commerce integration function

[0351] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. Based on the results, it connects to an e-commerce platform and makes timely suggestions for purchasing eye drops and other care products. For example, it can recommend specific eye drops based on the user's emotional state and send notifications to encourage purchases.

[0352] Specific examples

[0353] 1. User operation: The user opens the app "Eye Care Planner" and checks the emotion data analysis results.

[0354] 2. Display message:

[0355] Hello, after analyzing your current emotional data and health status, we recommend you try some relaxation eye drops. Click here to purchase online.

[0356] Prompt Sentence Examples

[0357] Prompt statement:

[0358] Hello. After analyzing your current emotional data, it appears that you are feeling fatigued. I would recommend using eye care products that have a particularly relaxing effect. You can purchase them online here.

[0359] The main software and hardware used are:

[0360] Front-end: React Native (smartphone app development)

[0361] Backend: Node.js, Express

[0362] Database: MongoDB (data storage and management)

[0363] AI model and analysis: Python, TensorFlow (emotion recognition and data analysis)

[0364] In this way, the system of the present invention combines a variety of data collection and analysis means to provide optimal eye care for each user while also being able to link with e-commerce.

[0365] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0366] Step 1:

[0367] The device activates an electrical stimulation device (EMS) based on a schedule set by the user, sending a small current to the muscles around the eyes. The input is the schedule data set by the user, and the output is the EMS current, which has a relaxing effect.

[0368] Step 2:

[0369] The built-in camera in the device captures the user's pupil state. The pupil image data acquired by the camera is used as input, and the data is sent to the server as output.

[0370] Step 3:

[0371] The server analyzes the received pupil data in real time and sends an alert to the user if an abnormality is detected. It uses pupil data as input and processes the data to detect abnormalities using a specific algorithm. If an abnormality is detected as output, an alert notification is sent.

[0372] Step 4:

[0373] The sensor means of the device monitors the user's sleep patterns and transmits the data to the server. The sleep data obtained by the sensor is used as input and the data is transmitted to the server as output.

[0374] Step 5:

[0375] The server analyzes the received sleep data and generates advice to encourage the user to get a good night's sleep. The server uses the sleep data as input and generates advice as output, which is then displayed on the smartphone app.

[0376] Step 6:

[0377] The user sets the time to apply eye drops using a smartphone app. The user's eye drop timing setting data is used as input, and the setting data is sent to the server as output.

[0378] Step 7:

[0379] The server uses the emotion engine means to analyze the user's facial expression and voice data and generate emotion data, using the facial expression and voice data as input and generating emotion data as output.

[0380] Step 8:

[0381] The server integrates and analyzes emotion data and other health data to propose an individualized care plan to the user. The server uses emotion data, pupil data, and sleep data as input, and generates a care plan as output, which is then displayed on a smartphone app.

[0382] Step 9:

[0383] The server uses e-commerce integration means to make timely purchase suggestions for eye drops and other care products, using the generated care plan as input and sending a notification of the purchase suggestion to the smartphone app as output.

[0384] 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.

[0385] 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.

[0386] 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.

[0387] [Second embodiment]

[0388] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0389] 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.

[0390] 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).

[0391] 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.

[0392] 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.

[0393] 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).

[0394] 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.

[0395] 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.

[0396] 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.

[0397] 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.

[0398] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0399] 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."

[0400] The present invention relates to an AI eye mask system for managing eye health and relieving fatigue, and includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera device that monitors the state of the pupils, a sensor device that analyzes the user's sleep patterns, a notification device that notifies the user when it is time to apply eye drops, and a server device that manages the data obtained from each of these devices.

[0401] A specific embodiment of the system will now be described.

[0402] 1. How Electrical Stimulation Devices (EMS) Work

[0403] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0404] 2. Pupil monitoring function

[0405] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0406] 3. Sleep management function

[0407] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0408] 4. Eye drop timing notification function

[0409] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0410] 5. Data management and app integration

[0411] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0412] The various functions of this system work together to provide comprehensive support for users' eye health management and effectively resolve eye problems caused by prolonged use of digital devices.

[0413] The processing flow will be explained below.

[0414] 1. How Electrical Stimulation Devices (EMS) Work

[0415] Step 1:

[0416] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0417] Step 2:

[0418] The device sets an internal timer based on the settings.

[0419] Step 3:

[0420] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0421] 2. Pupil monitoring function

[0422] Step 1:

[0423] The device periodically captures images of the user's pupils using a built-in camera.

[0424] Step 2:

[0425] The captured pupil data is sent to the server.

[0426] Step 3:

[0427] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0428] Step 4:

[0429] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0430] 3. Sleep management function

[0431] Step 1:

[0432] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0433] Step 2:

[0434] The acquired sleep data is sent to a server.

[0435] Step 3:

[0436] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0437] Step 4:

[0438] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0439] Step 5:

[0440] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0441] 4. Eye drop timing notification function

[0442] Step 1:

[0443] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0444] Step 2:

[0445] The server sets a timer based on the set time.

[0446] Step 3:

[0447] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0448] Step 4:

[0449] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0450] Step 5:

[0451] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0452] 5. Data management and app integration

[0453] Step 1:

[0454] The device periodically sends pupil data, EMS usage data, and sleep data to the server.

[0455] Step 2:

[0456] The server stores the received data in a database and analyzes it as needed.

[0457] Step 3:

[0458] The server sends the analysis results to a smartphone app so that users can view them.

[0459] Step 4:

[0460] Users can open the smartphone app to check their eye health and past data.

[0461] Step 5:

[0462] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[0463] Based on the above processing steps, the entire system works together to support the user's eye health management.

[0464] Example 1

[0465] 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."

[0466] In modern society, long-term use of digital devices is causing serious eye fatigue, making eye health management an important issue. It is not easy to find the right timing for using eye drops or effective methods for relaxing the muscles around the eyes. Furthermore, there is a need for early detection of pupil abnormalities and prompt response. A comprehensive system to solve these issues is needed.

[0467] 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.

[0468] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to apply eye drops, server means for managing data obtained from each of these means, program means for administering electrical stimulation based on a set schedule, program means for analyzing pupil data in real time and notifying the user of any abnormalities, program means for tracking the user's sleep patterns and administering electrical stimulation at the optimal timing, and program means for notifying the user when to apply eye drops before a specified time. This provides comprehensive support for the user's eye health management and makes it possible to effectively solve eye problems caused by long-term use of digital devices.

[0469] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[0470] The "camera means" is a camera device for capturing the state of the user's pupils.

[0471] "Sensor means" refers to a sensor device for monitoring the user's sleep patterns.

[0472] The "notification means" is a notification device that notifies the user of the timing of eye drops, etc.

[0473] The "server means" is a server device that manages and analyzes the data obtained from each of these means.

[0474] The "program means" is a program for administering electrical stimulation based on a set schedule.

[0475] "Pupil data" refers to data on the state of the user's pupils captured by a camera means.

[0476] "Analyzing in real time" means analyzing received data immediately on the spot.

[0477] The "program means for notifying abnormalities" is a program that analyzes pupil data and notifies the user if an abnormality is detected.

[0478] "Tracking sleep patterns" means continuously monitoring the user's sleep state by means of sensors.

[0479] The "program means for notifying the timing of eye drops" is a program that notifies the user of the timing of using eye drops before a specified time.

[0480] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, a program that applies electrical stimulation according to a set schedule, a program that analyzes pupil data in real time and notifies the user of abnormalities, a program that tracks the user's sleep patterns and applies electrical stimulation at the optimal timing, and a program that notifies the user when to apply eye drops before the specified time.

[0481] 1. EMS function

[0482] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user via a smartphone app. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to activate at 3:00 PM, the device will begin electrical stimulation at the specified time.

[0483] 2. Pupil monitoring function

[0484] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0485] 3. Sleep management function

[0486] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0487] 4. Eye drop timing notification function

[0488] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0489] 5. Data management and app integration

[0490] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0491] Prompt Sentence Examples

[0492] If a user sets the EMS function for 3 PM, how does the device check the setting and what process will be performed at the specified time? Please explain the specific flow.

[0493] By linking multiple functions, this system aims to provide comprehensive support for the user's eye health and effectively resolve eye problems caused by prolonged use of digital devices.

[0494] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0495] Step 1: Configure the EMS feature

[0496] The user opens the smartphone app and accesses the EMS function settings screen. The user inputs the EMS start time and saves the settings. This input data is sent to the application server, where the settings information is saved.

[0497] Step 2: Start the EMS function

[0498] The device activates the EMS function at the specified time. Specifically, the microcontroller inside the device monitors the set time and, when the specified time arrives, sends a command to send a small current to the electrical stimulation device. This activates the EMS and relaxes the eye muscles. The input is setting information from the server, and the output is the start of electrical stimulation.

[0499] Step 3: Capture the pupil

[0500] The device uses a built-in camera to capture the state of the user's pupils. As input, the camera is activated based on the specified time or condition to acquire image data. This image data is pre-processed locally and then sent to the server.

[0501] Step 4: Analyzing pupil data

[0502] The server receives the transmitted pupil data and analyzes it in real time using an AI model. Specifically, it uses an image analysis algorithm to analyze pupil size and reaction speed and determine whether there are any abnormalities. The input is the pupil image data sent from the device, and the output is the analysis results. If an abnormality is detected, a notification is sent.

[0503] Step 5: Monitor your sleep patterns

[0504] The sensors built into the device collect the user's sleep data (heart rate, movement, etc.). This sensor data is temporarily stored inside the device and sent to the server at specified intervals. The input is the data acquired by the sensors, and the output is the sensor data sent to the server.

[0505] Step 6: Analyze your sleep data

[0506] The server receives the transmitted sleep data and applies a data analysis algorithm to analyze the user's sleep patterns, thereby assessing the user's sleep quality and determining the optimal timing for EMS activation. The input is the sleep data sent from the sensor, and the output is the analysis results and the determination of the appropriate EMS activation timing.

[0507] Step 7: Set the timing for your eye drops

[0508] The user inputs and saves the time to apply eye drops using a smartphone app. The server receives the input and stores it in a related database.

[0509] Step 8: Notification of eye drop timing

[0510] When the specified time approaches, the device will notify the user by sound or vibration when it is time to put in eye drops. The input is timing data from the server, and the output is a notification to the user. For example, if a user sets the time to put in eye drops at 10:00 AM and 3:00 PM, the device will notify the user just before those times.

[0511] Step 9: Assemble and provide data

[0512] The device periodically sends the various data it acquires (pupil data, EMS usage data, sleep data) to a server. The server collects and analyzes this data and displays the results on a smartphone app. The input is data from the device, and the output is the analysis results provided to the user via the app. For example, by opening the app, a user can view their eye health data and advice for the past month.

[0513] (Application example 1)

[0514] 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."

[0515] Conventional eye health management systems only provide individual functions such as alleviating user eye fatigue, analyzing sleep patterns, and notifying users when to use eye drops, and do not provide comprehensive eye care. Furthermore, there was a lack of an appropriate system for efficiently managing eye health and stress for security guards who work nights or long hours. This led to the accumulation of eye fatigue and stress from long hours of work, posing a challenge to ensuring safety.

[0516] 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.

[0517] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to use eye drops, server means for managing the data obtained from each of these means, stress management means for supporting the stress management of the security guard, alert means for detecting abnormalities in the security guard's pupils in real time and issuing an alert if any abnormalities are detected, and sleep management means for monitoring the health of the security guard. This provides comprehensive eye care and stress management for security guards who perform long hours of monitoring work, in addition to conventional eye health management systems, making it possible to ensure the safety and health of users.

[0518] An "electrical stimulation device" is a device that sends a small electric current to relax the muscles around the eyes.

[0519] "Camera means" refers to an optical device for monitoring the state of the user's pupils.

[0520] "Sensor means" refers to a measurement device for detecting and analyzing a user's sleep patterns.

[0521] The "notification means" is an alert function that notifies the user of the optimal timing to apply eye drops.

[0522] The "server means" is an information processing device for collecting, storing, and analyzing data obtained from each means.

[0523] A "stress management device" is a device for managing the stress level of security guards and promoting relaxation.

[0524] The "vigilance alert means" is a device that detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected.

[0525] The "sleep management tool" is a device that monitors the health of security guards and provides optimal eye care.

[0526] This invention relates to an AI eye guard system that provides comprehensive support for security guards' eye health and stress management, and is designed to ensure the health and safety of security guards during long hours of work.

[0527] 1. System Configuration

[0528] The system consists of the following main components:

[0529] Electrical Stimulation Device (EMS): This is a device that delivers a small electrical current to relax the muscles around the eyes. The EMS is built into the smart glasses and operates on a specified schedule.

[0530] Camera means: This device is an optical device for monitoring the pupil state of the guards. It captures the pupil state and transmits the data to the server.

[0531] Sensor means: A measuring device for detecting and analyzing the sleep patterns of security guards. The built-in sensor monitors sleep patterns and transmits the data to a server.

[0532] Notification: An alert function that notifies the guard when it is best to apply eye drops, making vision management easier.

[0533] Server means: An information processing device that aggregates, stores, and analyzes data obtained from each means. The server performs calculations necessary for stress management and abnormality detection, and issues necessary notifications.

[0534] Stress management tool: A device to manage the stress level of security guards and promote relaxation. For example, the EMS function can be used to promote eye relaxation during long shifts.

[0535] Alerting means: This device detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected. When an abnormality is detected, an alert is issued from the server.

[0536] Sleep management tool: A device that monitors the health of guards and provides optimal eye care.

[0537] 2. Data Acquisition and Management

[0538] The server aggregates and stores data obtained from each method. For example, pupil status data, EMS usage data, and sleep pattern data are collected and analyzed in real time. The analysis results are notified to security personnel as needed.

[0539] 3. Notifications and Alerts

[0540] The notification method not only notifies guards when it is time to use eye drops, but also notifies them if their stress levels are high or if there is an abnormality in their pupils, allowing them to take appropriate action in a timely manner and ensuring the safety and health of guards.

[0541] 4. Examples and prompts

[0542] For example, when a security guard on night patrol uses this AI Eye Guard system, he or she can effectively alleviate eye fatigue and constantly monitor pupil abnormalities. Furthermore, if drowsiness is detected, an alarm will sound immediately and notify the guard when it is appropriate to administer eye drops, helping the guard to maintain focus and ensure safety.

[0543] Example prompt sentence:

[0544] "During night patrols, the AI ​​Eye Guard system is used to manage fatigue and drowsiness and monitor health conditions. It notifies the driver if there is an abnormality in the pupils' condition, and issues an alert and initiates EMS functions if drowsiness occurs. The system continues to notify the driver when it is appropriate to administer eye drops."

[0545] By combining the various functions of the present invention, it is possible to provide comprehensive eye health management and stress management for security guards, significantly improving safety during nighttime and long-term surveillance work.

[0546] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0547] Step 1:

[0548] Stress management measures in action

[0549] The server periodically receives data on the guard's EMS usage from the device (smart glasses). Input data includes the time and frequency of EMS usage. The server calculates the stress level based on this data and displays the result as the degree of eye fatigue. The server also sets the EMS function to automatically activate if the stress level is high. For example, if the EMS is used frequently during long periods of continuous monitoring work, the server determines that the stress level is rising and activates the EMS function again to promote relaxation.

[0550] Step 2:

[0551] Pupil monitoring function

[0552] The device uses a built-in camera to capture images of the guard's pupils and sends the image data to a server. The input data is an image of the pupils, which the server analyzes to obtain parameters such as pupil diameter and reaction speed. If the analysis results are outside the normal range, the server sends an alert to alert the guard. For example, if the pupils' reaction is delayed, a warning may be issued indicating that fatigue is accumulating.

[0553] Step 3:

[0554] Sleep management function

[0555] The device's built-in sensors monitor the guard's sleep patterns and send the acquired data to a server. The input data includes heart rate and body movements, and the server analyzes this data to evaluate the quality of sleep. If it determines that the guard is not getting enough deep sleep, the server uses the EMS function to encourage relaxation. Additionally, if drowsiness is detected during nighttime monitoring, an alert will be activated to wake the guard. For example, if an irregular heart rate is detected, it will be determined that the guard is becoming increasingly drowsy, and the EMS function and alert will be activated simultaneously.

[0556] Step 4:

[0557] Eye drop timing notification function

[0558] The user (security guard) sets the timing for applying eye drops in a smartphone app. The server calculates the appropriate timing based on the setting data, monitoring the eye moisture and pupil state. The input data includes the set timing for applying eye drops and actual eye condition data, and the server compares these and sends a notification to the device when it is time to apply eye drops. For example, if a security guard sets the time to apply eye drops at 10:00 AM and 3:00 PM, the server will measure the dryness of the eyes beforehand and, if necessary, notify the user earlier than the scheduled time.

[0559] Step 5:

[0560] Data Management and Analytics

[0561] The server centrally manages data sent from each means and analyzes it in real time. Input data includes EMS usage data, pupil data, sleep pattern data, and eye drop usage data. The server integrates this data and monitors the health of security guards. For example, it analyzes data from the past week and creates a detailed report on days when stress levels were particularly high or when pupil abnormalities were detected, which can be used to improve future operations.

[0562] 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.

[0563] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue, incorporating an emotion engine that recognizes the user's emotions. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, and the emotion engine that recognizes the user's emotions.

[0564] A specific embodiment of the system will now be described.

[0565] 1. How Electrical Stimulation Devices (EMS) Work

[0566] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0567] 2. Pupil monitoring function

[0568] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0569] 3. Sleep management function

[0570] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0571] 4. Eye drop timing notification function

[0572] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0573] 5. Operation of the Emotion Engine

[0574] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0575] 6. Collaboration based on emotional data

[0576] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of EMS use or adjusting the timing of eye drops.

[0577] 7. Data management and app integration

[0578] The device periodically transmits the acquired pupil data, EMS usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0579] In this way, a system that combines an emotion engine not only provides comprehensive support for the user's eye health management, but also provides individualized care according to the user's emotional state.

[0580] The processing flow will be explained below.

[0581] 1. How Electrical Stimulation Devices (EMS) Work

[0582] Step 1:

[0583] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0584] Step 2:

[0585] The device sets an internal timer based on the settings.

[0586] Step 3:

[0587] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0588] 2. Pupil monitoring function

[0589] Step 1:

[0590] The device periodically captures images of the user's pupils using a built-in camera.

[0591] Step 2:

[0592] The captured pupil data is sent to the server.

[0593] Step 3:

[0594] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0595] Step 4:

[0596] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0597] 3. Sleep management function

[0598] Step 1:

[0599] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0600] Step 2:

[0601] The acquired sleep data is sent to a server.

[0602] Step 3:

[0603] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0604] Step 4:

[0605] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0606] Step 5:

[0607] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0608] 4. Eye drop timing notification function

[0609] Step 1:

[0610] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0611] Step 2:

[0612] The server sets a timer based on the set time.

[0613] Step 3:

[0614] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0615] Step 4:

[0616] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0617] Step 5:

[0618] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0619] 5. Operation of the Emotion Engine

[0620] Step 1:

[0621] The device uses a camera and microphone to capture the user's facial expressions and voice.

[0622] Step 2:

[0623] The emotion engine in the device analyzes the captured data and determines the user's emotion, for example, that the user is feeling stressed.

[0624] Step 3:

[0625] Emotion data is sent to the server.

[0626] 6. Collaboration based on emotional data

[0627] Step 1:

[0628] The server analyzes the emotion data along with pupil and sleep data.

[0629] Step 2:

[0630] The server adjusts the user's care plan based on the analysis results, for example, "Because you are feeling stressed, increase the frequency of use of the EMS function."

[0631] Step 3:

[0632] The adjustment results are notified to a smartphone app, and advice is provided to the user.

[0633] 7. Data management and app integration

[0634] Step 1:

[0635] The device periodically sends pupil data, EMS usage data, sleep data, and emotion data to the server.

[0636] Step 2:

[0637] The server stores the received data in a database and analyzes it as needed.

[0638] Step 3:

[0639] The server sends the analysis results to a smartphone app so that users can view them.

[0640] Step 4:

[0641] Users can open the smartphone app to check their eye health and past data.

[0642] Step 5:

[0643] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[0644] Based on the above processing steps, the entire system works together to provide comprehensive support for the user's eye health management.

[0645] Example 2

[0646] 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."

[0647] Conventional eye health management systems often do not provide sufficient care for users' eyes, and are unable to provide individualized care according to the user's emotional state. This makes it difficult for users to accurately manage their health and alleviate fatigue. Furthermore, there are few systems that can manage and analyze multiple health data in an integrated manner.

[0648] 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.

[0649] In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to apply eye drops, an emotion engine means for recognizing the user's emotions, and a server means for managing and analyzing data obtained from each of these means. This makes it possible to comprehensively manage the user's eye health and provide individualized care according to their emotional state.

[0650] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[0651] The "camera means" is a device for photographing the state of the user's pupils and collecting that data.

[0652] "Sensor means" refers to a device that detects the user's sleep patterns and collects and analyzes the data.

[0653] The "notification means" is a device or function for notifying the user when it is time to apply eye drops.

[0654] The "emotion engine means" is a device or software for analyzing the user's facial expressions and voice and recognizing the user's emotional state.

[0655] The "server means" is a central management device that manages and analyzes various data and performs comprehensive eye health management.

[0656] "Data management means" refers to a device or software that stores and analyzes a user's eye health data and emotional data and displays the results on the user's device.

[0657] The "alert means" is a device or function for notifying the user when an abnormality is detected based on the pupil state and emotion data.

[0658] This invention relates to an AI eye mask system for the purpose of managing eye health and relieving fatigue. The invention includes the following components to comprehensively manage eye health, including the user's emotional state:

[0659] How Electrical Stimulation Devices (EMS) Work

[0660] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes to relax them. This electrical stimulation is performed based on a schedule set by the user through a smartphone app. For example, if the user sets the electrical stimulation to occur at 3:00 PM, the device will begin the electrical stimulation at the specified time.

[0661] Pupil monitoring function

[0662] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0663] Sleep management function

[0664] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It can also automatically activate an electrical stimulation system (EMS) during deep sleep. For example, while the user is wearing an eye mask, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0665] Eye drop timing notification function

[0666] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies the user when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify the user at the appropriate times with sound or vibration.

[0667] Emotion Engine Operation

[0668] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0669] Collaboration function based on emotion data

[0670] The server comprehensively analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops.

[0671] Data management and app integration

[0672] The device periodically transmits the acquired pupil data, electrical stimulation means (EMS) usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0673] Specific examples

[0674] Example prompt sentence:

[0675] "Activate the Electrical Stimulation Device (EMS) at 3 PM, obtain pupil monitoring data, and send it to the server. If the user is feeling stressed, notify them and suggest ways to relax in the app."

[0676] In this way, a system that combines an emotion engine can provide comprehensive support for the user's eye health management and provide individualized care according to the user's emotional state.

[0677] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0678] Step 1:

[0679] The user inputs settings through a smartphone app. The input settings include the EMS schedule, eye drop timing, and other health management parameters. For example, by inputting a setting to start the EMS at 3:00 PM, the device saves this setting in its internal memory and prepares to start operation at the specified time. The input data is the EMS schedule and eye drop timing settings, and the output is saving this data in its internal memory.

[0680] Step 2:

[0681] The device activates the electrical stimulation means (EMS) based on the set time. Based on the setting information retrieved from the internal memory, the EMS sends a small current at the specified time to relax the muscles around the eyes. For example, the EMS is activated at 3:00 PM to apply electrical stimulation around the eyes, thereby relieving eye fatigue. The input data is the EMS schedule, and the output is the relaxed state of the muscles around the eyes.

[0682] Step 3:

[0683] The device captures the state of the pupils with its built-in camera and sends the data to a server. The captured image data is analyzed on the server to measure pupil reaction and size. For example, the camera could take a photo of the pupils every hour and upload the data to the server. If an abnormality is detected as a result of data analysis, a notification is sent to the user. The input data is the pupil image, and the output is the pupil state analysis result and an abnormality notification.

[0684] Step 4:

[0685] The device monitors sleep patterns using built-in sensors. The data acquired by the sensors is sent to a server, which analyzes sleep quality and patterns. For example, the device monitors the user's movements and heart rate while they sleep at night and sends this data to the server at 6:00 AM. The server analyzes the data and provides the user with advice to promote good quality sleep. The input data is sleep pattern data, and the output is sleep quality analysis results and advice.

[0686] Step 5:

[0687] The server manages the timing of eye drops based on the user's settings and notifies the user via the device. A timer is set based on the settings information, and the optimal timing is provided taking into consideration the state of the eyes and the analysis results of the emotion engine. For example, if the settings are to apply eye drops at 10:00 AM and 3:00 PM, the device will notify the user five minutes before those times with sound and vibration. The input data is the eye drop timing setting, and the output is the eye drop timing notification.

[0688] Step 6:

[0689] The device's built-in emotion engine recognizes emotions from the user's facial and voice data and sends that data to a server. The server then integrates the emotion data with other health data for analysis. For example, if the user is feeling stressed, that information is recognized by the emotion engine and sent to the server. The input data is facial and voice data, and the output is the emotion recognition results.

[0690] Step 7:

[0691] The server analyzes all data based on emotional data and proposes the optimal care plan for the user. For example, if the user is feeling stressed, it may advise increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops. The input data is health data and emotional data, and the output is the optimal care plan.

[0692] Step 8:

[0693] The device periodically transmits pupil data, EMS usage data, sleep data, and emotional data to a server, which then collects, stores, and analyzes the data. Users can check their eye health status and past data through a smartphone app. For example, by opening the app and viewing data from the past month, users can take comprehensive eye care measures. The input data is various health data, and the output is a comprehensive health analysis and advice.

[0694] (Application example 2)

[0695] 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."

[0696] Existing systems aimed at managing eye health and alleviating fatigue include features such as electrical stimulation, pupil monitoring, and sleep pattern analysis, but no systems offer personalized care suggestions based on the user's emotional state or link to e-commerce platforms. This poses a challenge in providing a service that combines detailed health management with purchasing suggestions based on that information.

[0697] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to use eye drops, an emotion engine means for analyzing emotion data and proposing an individualized care plan, and an e-commerce linkage means for connecting to an e-commerce platform using user data. This makes it possible to simultaneously provide individualized care suggestions based on the user's emotional state and timely purchase suggestions.

[0698] An "electrical stimulation device" is a device that sends a small electric current to the muscles around the eyes to promote relaxation and relieve fatigue.

[0699] The "camera means" is a camera device for monitoring the state of the user's pupils and acquiring data.

[0700] "Sensor means" refers to a sensor device that acquires the data necessary to analyze the user's sleep patterns.

[0701] The "notification means" is a device or system for notifying the user of the timing of eye drops or any abnormalities.

[0702] The "server means" is a central management device that manages, stores, and analyzes the data acquired by each means, and provides an optimal care plan.

[0703] The "emotion engine means" is an analysis device that analyzes the user's emotions from facial expressions and voice data, and proposes an individual care plan based on the results.

[0704] The "electronic commerce linking means" is a system that uses the user's health data to link with an electronic commerce platform and make product purchase suggestions at the appropriate time.

[0705] This invention relates to an AI eye mask system that incorporates an emotion engine that analyzes user emotion data and e-commerce linkage means, with the aim of managing eye health and alleviating fatigue. This system is implemented by combining the following elements:

[0706] 1. How Electrical Stimulation Devices (EMS) Work

[0707] The device uses a built-in electrical stimulation device (EMS) to send a small current to the muscles around the eyes based on a user-set schedule, which relaxes the eye muscles and reduces fatigue. For example, if the user sets the EMS function to activate at 3:00 p.m., electrical stimulation will begin at the specified time.

[0708] 2. Pupil monitoring function

[0709] The device's built-in camera captures the user's pupil state and sends the data to a server. The server analyzes the received pupil data in real time and notifies the user via a smartphone app if an abnormality is detected. For example, if the pupil reaction is slower than normal, the server will send a notification suggesting a possible abnormality.

[0710] 3. Sleep management function

[0711] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server then analyzes the data and provides advice to the user on how to improve their sleep. For example, while the user is wearing an eye mask, the system can track the depth of their sleep and automatically activate the EMS function at the optimal time.

[0712] 4. Eye drop timing notification function

[0713] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0714] 5. Operation of the Emotion Engine

[0715] The device's built-in emotion engine recognizes emotions from the user's facial expressions and voice data and sends the data to a server. The server then integrates and analyzes the emotion data with other health data to provide a personalized care plan based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0716] 6. E-commerce integration function

[0717] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. Based on the results, it connects to an e-commerce platform and makes timely suggestions for purchasing eye drops and other care products. For example, it can recommend specific eye drops based on the user's emotional state and send notifications to encourage purchases.

[0718] Specific examples

[0719] 1. User operation: The user opens the app "Eye Care Planner" and checks the emotion data analysis results.

[0720] 2. Display message:

[0721] Hello, after analyzing your current emotional data and health status, we recommend you try some relaxation eye drops. Click here to purchase online.

[0722] Prompt Sentence Examples

[0723] Prompt statement:

[0724] Hello. After analyzing your current emotional data, it appears that you are feeling fatigued. I would recommend using eye care products that have a particularly relaxing effect. You can purchase them online here.

[0725] The main software and hardware used are:

[0726] Front-end: React Native (smartphone app development)

[0727] Backend: Node.js, Express

[0728] Database: MongoDB (data storage and management)

[0729] AI model and analysis: Python, TensorFlow (emotion recognition and data analysis)

[0730] In this way, the system of the present invention combines a variety of data collection and analysis means to provide optimal eye care for each user while also being able to link with e-commerce.

[0731] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0732] Step 1:

[0733] The device activates an electrical stimulation device (EMS) based on a schedule set by the user, sending a small current to the muscles around the eyes. The input is the schedule data set by the user, and the output is the EMS current, which has a relaxing effect.

[0734] Step 2:

[0735] The built-in camera in the device captures the user's pupil state. The pupil image data acquired by the camera is used as input, and the data is sent to the server as output.

[0736] Step 3:

[0737] The server analyzes the received pupil data in real time and sends an alert to the user if an abnormality is detected. It uses pupil data as input and processes the data to detect abnormalities using a specific algorithm. If an abnormality is detected as output, an alert notification is sent.

[0738] Step 4:

[0739] The sensor means of the device monitors the user's sleep patterns and transmits the data to the server. The sleep data obtained by the sensor is used as input and the data is transmitted to the server as output.

[0740] Step 5:

[0741] The server analyzes the received sleep data and generates advice to encourage the user to get a good night's sleep. The server uses the sleep data as input and generates advice as output, which is then displayed on the smartphone app.

[0742] Step 6:

[0743] The user sets the time to apply eye drops using a smartphone app. The user's eye drop timing setting data is used as input, and the setting data is sent to the server as output.

[0744] Step 7:

[0745] The server uses the emotion engine means to analyze the user's facial expression and voice data and generate emotion data, using the facial expression and voice data as input and generating emotion data as output.

[0746] Step 8:

[0747] The server integrates and analyzes emotion data and other health data to propose an individualized care plan to the user. The server uses emotion data, pupil data, and sleep data as input, and generates a care plan as output, which is then displayed on a smartphone app.

[0748] Step 9:

[0749] The server uses e-commerce integration means to make timely purchase suggestions for eye drops and other care products, using the generated care plan as input and sending a notification of the purchase suggestion to the smartphone app as output.

[0750] 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.

[0751] 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.

[0752] 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.

[0753] [Third embodiment]

[0754] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0755] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0756] 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).

[0757] 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.

[0758] 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.

[0759] 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).

[0760] 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.

[0761] 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.

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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."

[0766] The present invention relates to an AI eye mask system for managing eye health and relieving fatigue, and includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera device that monitors the state of the pupils, a sensor device that analyzes the user's sleep patterns, a notification device that notifies the user when it is time to apply eye drops, and a server device that manages the data obtained from each of these devices.

[0767] A specific embodiment of the system will now be described.

[0768] 1. How Electrical Stimulation Devices (EMS) Work

[0769] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0770] 2. Pupil monitoring function

[0771] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0772] 3. Sleep management function

[0773] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0774] 4. Eye drop timing notification function

[0775] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0776] 5. Data management and app integration

[0777] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0778] The various functions of this system work together to provide comprehensive support for users' eye health management and effectively resolve eye problems caused by prolonged use of digital devices.

[0779] The processing flow will be explained below.

[0780] 1. How Electrical Stimulation Devices (EMS) Work

[0781] Step 1:

[0782] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0783] Step 2:

[0784] The device sets an internal timer based on the settings.

[0785] Step 3:

[0786] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0787] 2. Pupil monitoring function

[0788] Step 1:

[0789] The device periodically captures images of the user's pupils using a built-in camera.

[0790] Step 2:

[0791] The captured pupil data is sent to the server.

[0792] Step 3:

[0793] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0794] Step 4:

[0795] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0796] 3. Sleep management function

[0797] Step 1:

[0798] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0799] Step 2:

[0800] The acquired sleep data is sent to a server.

[0801] Step 3:

[0802] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0803] Step 4:

[0804] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0805] Step 5:

[0806] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0807] 4. Eye drop timing notification function

[0808] Step 1:

[0809] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0810] Step 2:

[0811] The server sets a timer based on the set time.

[0812] Step 3:

[0813] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0814] Step 4:

[0815] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0816] Step 5:

[0817] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0818] 5. Data management and app integration

[0819] Step 1:

[0820] The device periodically sends pupil data, EMS usage data, and sleep data to the server.

[0821] Step 2:

[0822] The server stores the received data in a database and analyzes it as needed.

[0823] Step 3:

[0824] The server sends the analysis results to a smartphone app so that users can view them.

[0825] Step 4:

[0826] Users can open the smartphone app to check their eye health and past data.

[0827] Step 5:

[0828] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[0829] Based on the above processing steps, the entire system works together to support the user's eye health management.

[0830] Example 1

[0831] 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."

[0832] In modern society, long-term use of digital devices is causing serious eye fatigue, making eye health management an important issue. It is not easy to find the right timing for using eye drops or effective methods for relaxing the muscles around the eyes. Furthermore, there is a need for early detection of pupil abnormalities and prompt response. A comprehensive system to solve these issues is needed.

[0833] 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.

[0834] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to apply eye drops, server means for managing data obtained from each of these means, program means for administering electrical stimulation based on a set schedule, program means for analyzing pupil data in real time and notifying the user of any abnormalities, program means for tracking the user's sleep patterns and administering electrical stimulation at the optimal timing, and program means for notifying the user when to apply eye drops before a specified time. This provides comprehensive support for the user's eye health management and makes it possible to effectively solve eye problems caused by long-term use of digital devices.

[0835] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[0836] The "camera means" is a camera device for capturing the state of the user's pupils.

[0837] "Sensor means" refers to a sensor device for monitoring the user's sleep patterns.

[0838] The "notification means" is a notification device that notifies the user of the timing of eye drops, etc.

[0839] The "server means" is a server device that manages and analyzes the data obtained from each of these means.

[0840] The "program means" is a program for administering electrical stimulation based on a set schedule.

[0841] "Pupil data" refers to data on the state of the user's pupils captured by a camera means.

[0842] "Analyzing in real time" means analyzing received data immediately on the spot.

[0843] The "program means for notifying abnormalities" is a program that analyzes pupil data and notifies the user if an abnormality is detected.

[0844] "Tracking sleep patterns" means continuously monitoring the user's sleep state by means of sensors.

[0845] The "program means for notifying the timing of eye drops" is a program that notifies the user of the timing of using eye drops before a specified time.

[0846] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, a program that applies electrical stimulation according to a set schedule, a program that analyzes pupil data in real time and notifies the user of abnormalities, a program that tracks the user's sleep patterns and applies electrical stimulation at the optimal timing, and a program that notifies the user when to apply eye drops before the specified time.

[0847] 1. EMS function

[0848] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user via a smartphone app. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to activate at 3:00 PM, the device will begin electrical stimulation at the specified time.

[0849] 2. Pupil monitoring function

[0850] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0851] 3. Sleep management function

[0852] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0853] 4. Eye drop timing notification function

[0854] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0855] 5. Data management and app integration

[0856] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0857] Prompt Sentence Examples

[0858] If a user sets the EMS function for 3 PM, how does the device check the setting and what process will be performed at the specified time? Please explain the specific flow.

[0859] By linking multiple functions, this system aims to provide comprehensive support for the user's eye health and effectively resolve eye problems caused by prolonged use of digital devices.

[0860] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0861] Step 1: Configure the EMS feature

[0862] The user opens the smartphone app and accesses the EMS function settings screen. The user inputs the EMS start time and saves the settings. This input data is sent to the application server, where the settings information is saved.

[0863] Step 2: Start the EMS function

[0864] The device activates the EMS function at the specified time. Specifically, the microcontroller inside the device monitors the set time and, when the specified time arrives, sends a command to send a small current to the electrical stimulation device. This activates the EMS and relaxes the eye muscles. The input is setting information from the server, and the output is the start of electrical stimulation.

[0865] Step 3: Capture the pupil

[0866] The device uses a built-in camera to capture the state of the user's pupils. As input, the camera is activated based on the specified time or condition to acquire image data. This image data is pre-processed locally and then sent to the server.

[0867] Step 4: Analyzing pupil data

[0868] The server receives the transmitted pupil data and analyzes it in real time using an AI model. Specifically, it uses an image analysis algorithm to analyze pupil size and reaction speed and determine whether there are any abnormalities. The input is the pupil image data sent from the device, and the output is the analysis results. If an abnormality is detected, a notification is sent.

[0869] Step 5: Monitor your sleep patterns

[0870] The sensors built into the device collect the user's sleep data (heart rate, movement, etc.). This sensor data is temporarily stored inside the device and sent to the server at specified intervals. The input is the data acquired by the sensors, and the output is the sensor data sent to the server.

[0871] Step 6: Analyze your sleep data

[0872] The server receives the transmitted sleep data and applies a data analysis algorithm to analyze the user's sleep patterns, thereby assessing the user's sleep quality and determining the optimal timing for EMS activation. The input is the sleep data sent from the sensor, and the output is the analysis results and the determination of the appropriate EMS activation timing.

[0873] Step 7: Set the timing for your eye drops

[0874] The user inputs and saves the time to apply eye drops using a smartphone app. The server receives the input and stores it in a related database.

[0875] Step 8: Notification of eye drop timing

[0876] When the specified time approaches, the device will notify the user by sound or vibration when it is time to put in eye drops. The input is timing data from the server, and the output is a notification to the user. For example, if a user sets the time to put in eye drops at 10:00 AM and 3:00 PM, the device will notify the user just before those times.

[0877] Step 9: Assemble and provide data

[0878] The device periodically sends the various data it acquires (pupil data, EMS usage data, sleep data) to a server. The server collects and analyzes this data and displays the results on a smartphone app. The input is data from the device, and the output is the analysis results provided to the user via the app. For example, by opening the app, a user can view their eye health data and advice for the past month.

[0879] (Application example 1)

[0880] 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."

[0881] Conventional eye health management systems only provide individual functions such as alleviating user eye fatigue, analyzing sleep patterns, and notifying users when to use eye drops, and do not provide comprehensive eye care. Furthermore, there was a lack of an appropriate system for efficiently managing eye health and stress for security guards who work nights or long hours. This led to the accumulation of eye fatigue and stress from long hours of work, posing a challenge to ensuring safety.

[0882] 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.

[0883] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to use eye drops, server means for managing the data obtained from each of these means, stress management means for supporting the stress management of the security guard, alert means for detecting abnormalities in the security guard's pupils in real time and issuing an alert if any abnormalities are detected, and sleep management means for monitoring the health of the security guard. This provides comprehensive eye care and stress management for security guards who perform long hours of monitoring work, in addition to conventional eye health management systems, making it possible to ensure the safety and health of users.

[0884] An "electrical stimulation device" is a device that sends a small electric current to relax the muscles around the eyes.

[0885] "Camera means" refers to an optical device for monitoring the state of the user's pupils.

[0886] "Sensor means" refers to a measurement device for detecting and analyzing a user's sleep patterns.

[0887] The "notification means" is an alert function that notifies the user of the optimal timing to apply eye drops.

[0888] The "server means" is an information processing device for collecting, storing, and analyzing data obtained from each means.

[0889] A "stress management device" is a device for managing the stress level of security guards and promoting relaxation.

[0890] The "vigilance alert means" is a device that detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected.

[0891] The "sleep management tool" is a device that monitors the health of security guards and provides optimal eye care.

[0892] This invention relates to an AI eye guard system that provides comprehensive support for security guards' eye health and stress management, and is designed to ensure the health and safety of security guards during long hours of work.

[0893] 1. System Configuration

[0894] The system consists of the following main components:

[0895] Electrical Stimulation Device (EMS): This is a device that delivers a small electrical current to relax the muscles around the eyes. The EMS is built into the smart glasses and operates on a specified schedule.

[0896] Camera means: This device is an optical device for monitoring the pupil state of the guards. It captures the pupil state and transmits the data to the server.

[0897] Sensor means: A measuring device for detecting and analyzing the sleep patterns of security guards. The built-in sensor monitors sleep patterns and transmits the data to a server.

[0898] Notification: An alert function that notifies the guard when it is best to apply eye drops, making vision management easier.

[0899] Server means: An information processing device that aggregates, stores, and analyzes data obtained from each means. The server performs calculations necessary for stress management and abnormality detection, and issues necessary notifications.

[0900] Stress management tool: A device to manage the stress level of security guards and promote relaxation. For example, the EMS function can be used to promote eye relaxation during long shifts.

[0901] Alerting means: This device detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected. When an abnormality is detected, an alert is issued from the server.

[0902] Sleep management tool: A device that monitors the health of guards and provides optimal eye care.

[0903] 2. Data Acquisition and Management

[0904] The server aggregates and stores data obtained from each method. For example, pupil status data, EMS usage data, and sleep pattern data are collected and analyzed in real time. The analysis results are notified to security personnel as needed.

[0905] 3. Notifications and Alerts

[0906] The notification method not only notifies guards when it is time to use eye drops, but also notifies them if their stress levels are high or if there is an abnormality in their pupils, allowing them to take appropriate action in a timely manner and ensuring the safety and health of guards.

[0907] 4. Examples and prompts

[0908] For example, when a security guard on night patrol uses this AI Eye Guard system, he or she can effectively alleviate eye fatigue and constantly monitor pupil abnormalities. Furthermore, if drowsiness is detected, an alarm will sound immediately and notify the guard when it is appropriate to administer eye drops, helping the guard to maintain focus and ensure safety.

[0909] Example prompt sentence:

[0910] "During night patrols, the AI ​​Eye Guard system is used to manage fatigue and drowsiness and monitor health conditions. It notifies the driver if there is an abnormality in the pupils' condition, and issues an alert and initiates EMS functions if drowsiness occurs. The system continues to notify the driver when it is appropriate to administer eye drops."

[0911] By combining the various functions of the present invention, it is possible to provide comprehensive eye health management and stress management for security guards, significantly improving safety during nighttime and long-term surveillance work.

[0912] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0913] Step 1:

[0914] Stress management measures in action

[0915] The server periodically receives data on the guard's EMS usage from the device (smart glasses). Input data includes the time and frequency of EMS usage. The server calculates the stress level based on this data and displays the result as the degree of eye fatigue. The server also sets the EMS function to automatically activate if the stress level is high. For example, if the EMS is used frequently during long periods of continuous monitoring work, the server determines that the stress level is rising and activates the EMS function again to promote relaxation.

[0916] Step 2:

[0917] Pupil monitoring function

[0918] The device uses a built-in camera to capture images of the guard's pupils and sends the image data to a server. The input data is an image of the pupils, which the server analyzes to obtain parameters such as pupil diameter and reaction speed. If the analysis results are outside the normal range, the server sends an alert to alert the guard. For example, if the pupils' reaction is delayed, a warning may be issued indicating that fatigue is accumulating.

[0919] Step 3:

[0920] Sleep management function

[0921] The device's built-in sensors monitor the guard's sleep patterns and send the acquired data to a server. The input data includes heart rate and body movements, and the server analyzes this data to evaluate the quality of sleep. If it determines that the guard is not getting enough deep sleep, the server uses the EMS function to encourage relaxation. Additionally, if drowsiness is detected during nighttime monitoring, an alert will be activated to wake the guard. For example, if an irregular heart rate is detected, it will be determined that the guard is becoming increasingly drowsy, and the EMS function and alert will be activated simultaneously.

[0922] Step 4:

[0923] Eye drop timing notification function

[0924] The user (security guard) sets the timing for applying eye drops in a smartphone app. The server calculates the appropriate timing based on the setting data, monitoring the eye moisture and pupil state. The input data includes the set timing for applying eye drops and actual eye condition data, and the server compares these and sends a notification to the device when it is time to apply eye drops. For example, if a security guard sets the time to apply eye drops at 10:00 AM and 3:00 PM, the server will measure the dryness of the eyes beforehand and, if necessary, notify the user earlier than the scheduled time.

[0925] Step 5:

[0926] Data Management and Analytics

[0927] The server centrally manages data sent from each means and analyzes it in real time. Input data includes EMS usage data, pupil data, sleep pattern data, and eye drop usage data. The server integrates this data and monitors the health of security guards. For example, it analyzes data from the past week and creates a detailed report on days when stress levels were particularly high or when pupil abnormalities were detected, which can be used to improve future operations.

[0928] 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.

[0929] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue, incorporating an emotion engine that recognizes the user's emotions. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, and the emotion engine that recognizes the user's emotions.

[0930] A specific embodiment of the system will now be described.

[0931] 1. How Electrical Stimulation Devices (EMS) Work

[0932] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[0933] 2. Pupil monitoring function

[0934] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[0935] 3. Sleep management function

[0936] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[0937] 4. Eye drop timing notification function

[0938] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[0939] 5. Operation of the Emotion Engine

[0940] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[0941] 6. Collaboration based on emotional data

[0942] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of EMS use or adjusting the timing of eye drops.

[0943] 7. Data management and app integration

[0944] The device periodically transmits the acquired pupil data, EMS usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[0945] In this way, a system that combines an emotion engine not only provides comprehensive support for the user's eye health management, but also provides individualized care according to the user's emotional state.

[0946] The processing flow will be explained below.

[0947] 1. How Electrical Stimulation Devices (EMS) Work

[0948] Step 1:

[0949] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[0950] Step 2:

[0951] The device sets an internal timer based on the settings.

[0952] Step 3:

[0953] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[0954] 2. Pupil monitoring function

[0955] Step 1:

[0956] The device periodically captures images of the user's pupils using a built-in camera.

[0957] Step 2:

[0958] The captured pupil data is sent to the server.

[0959] Step 3:

[0960] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[0961] Step 4:

[0962] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[0963] 3. Sleep management function

[0964] Step 1:

[0965] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[0966] Step 2:

[0967] The acquired sleep data is sent to a server.

[0968] Step 3:

[0969] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[0970] Step 4:

[0971] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[0972] Step 5:

[0973] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[0974] 4. Eye drop timing notification function

[0975] Step 1:

[0976] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[0977] Step 2:

[0978] The server sets a timer based on the set time.

[0979] Step 3:

[0980] The server may optimize the timing of eye drops based on pupil data and eye condition.

[0981] Step 4:

[0982] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[0983] Step 5:

[0984] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[0985] 5. Operation of the Emotion Engine

[0986] Step 1:

[0987] The device uses a camera and microphone to capture the user's facial expressions and voice.

[0988] Step 2:

[0989] The emotion engine in the device analyzes the captured data and determines the user's emotion, for example, that the user is feeling stressed.

[0990] Step 3:

[0991] Emotion data is sent to the server.

[0992] 6. Collaboration based on emotional data

[0993] Step 1:

[0994] The server analyzes the emotion data along with pupil and sleep data.

[0995] Step 2:

[0996] The server adjusts the user's care plan based on the analysis results, for example, "Because you are feeling stressed, increase the frequency of use of the EMS function."

[0997] Step 3:

[0998] The adjustment results are notified to a smartphone app, and advice is provided to the user.

[0999] 7. Data management and app integration

[1000] Step 1:

[1001] The device periodically sends pupil data, EMS usage data, sleep data, and emotion data to the server.

[1002] Step 2:

[1003] The server stores the received data in a database and analyzes it as needed.

[1004] Step 3:

[1005] The server sends the analysis results to a smartphone app so that users can view them.

[1006] Step 4:

[1007] Users can open the smartphone app to check their eye health and past data.

[1008] Step 5:

[1009] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[1010] Based on the above processing steps, the entire system works together to provide comprehensive support for the user's eye health management.

[1011] Example 2

[1012] 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."

[1013] Conventional eye health management systems often do not provide sufficient care for users' eyes, and are unable to provide individualized care according to the user's emotional state. This makes it difficult for users to accurately manage their health and alleviate fatigue. Furthermore, there are few systems that can manage and analyze multiple health data in an integrated manner.

[1014] 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.

[1015] In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to apply eye drops, an emotion engine means for recognizing the user's emotions, and a server means for managing and analyzing data obtained from each of these means. This makes it possible to comprehensively manage the user's eye health and provide individualized care according to their emotional state.

[1016] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[1017] The "camera means" is a device for photographing the state of the user's pupils and collecting that data.

[1018] "Sensor means" refers to a device that detects the user's sleep patterns and collects and analyzes the data.

[1019] The "notification means" is a device or function for notifying the user when it is time to apply eye drops.

[1020] The "emotion engine means" is a device or software for analyzing the user's facial expressions and voice and recognizing the user's emotional state.

[1021] The "server means" is a central management device that manages and analyzes various data and performs comprehensive eye health management.

[1022] "Data management means" refers to a device or software that stores and analyzes a user's eye health data and emotional data and displays the results on the user's device.

[1023] The "alert means" is a device or function for notifying the user when an abnormality is detected based on the pupil state and emotion data.

[1024] This invention relates to an AI eye mask system for the purpose of managing eye health and relieving fatigue. The invention includes the following components to comprehensively manage eye health, including the user's emotional state:

[1025] How Electrical Stimulation Devices (EMS) Work

[1026] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes to relax them. This electrical stimulation is performed based on a schedule set by the user through a smartphone app. For example, if the user sets the electrical stimulation to occur at 3:00 PM, the device will begin the electrical stimulation at the specified time.

[1027] Pupil monitoring function

[1028] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[1029] Sleep management function

[1030] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It can also automatically activate an electrical stimulation system (EMS) during deep sleep. For example, while the user is wearing an eye mask, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[1031] Eye drop timing notification function

[1032] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies the user when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify the user at the appropriate times with sound or vibration.

[1033] Emotion Engine Operation

[1034] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[1035] Collaboration function based on emotion data

[1036] The server comprehensively analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops.

[1037] Data management and app integration

[1038] The device periodically transmits the acquired pupil data, electrical stimulation means (EMS) usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[1039] Specific examples

[1040] Example prompt sentence:

[1041] "Activate the Electrical Stimulation Device (EMS) at 3 PM, obtain pupil monitoring data, and send it to the server. If the user is feeling stressed, notify them and suggest ways to relax in the app."

[1042] In this way, a system that combines an emotion engine can provide comprehensive support for the user's eye health management and provide individualized care according to the user's emotional state.

[1043] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1044] Step 1:

[1045] The user inputs settings through a smartphone app. The input settings include the EMS schedule, eye drop timing, and other health management parameters. For example, by inputting a setting to start the EMS at 3:00 PM, the device saves this setting in its internal memory and prepares to start operation at the specified time. The input data is the EMS schedule and eye drop timing settings, and the output is saving this data in its internal memory.

[1046] Step 2:

[1047] The device activates the electrical stimulation means (EMS) based on the set time. Based on the setting information retrieved from the internal memory, the EMS sends a small current at the specified time to relax the muscles around the eyes. For example, the EMS is activated at 3:00 PM to apply electrical stimulation around the eyes, thereby relieving eye fatigue. The input data is the EMS schedule, and the output is the relaxed state of the muscles around the eyes.

[1048] Step 3:

[1049] The device captures the state of the pupils with its built-in camera and sends the data to a server. The captured image data is analyzed on the server to measure pupil reaction and size. For example, the camera could take a photo of the pupils every hour and upload the data to the server. If an abnormality is detected as a result of data analysis, a notification is sent to the user. The input data is the pupil image, and the output is the pupil state analysis result and an abnormality notification.

[1050] Step 4:

[1051] The device monitors sleep patterns using built-in sensors. The data acquired by the sensors is sent to a server, which analyzes sleep quality and patterns. For example, the device monitors the user's movements and heart rate while they sleep at night and sends this data to the server at 6:00 AM. The server analyzes the data and provides the user with advice to promote good quality sleep. The input data is sleep pattern data, and the output is sleep quality analysis results and advice.

[1052] Step 5:

[1053] The server manages the timing of eye drops based on the user's settings and notifies the user via the device. A timer is set based on the settings information, and the optimal timing is provided taking into consideration the state of the eyes and the analysis results of the emotion engine. For example, if the settings are to apply eye drops at 10:00 AM and 3:00 PM, the device will notify the user five minutes before those times with sound and vibration. The input data is the eye drop timing setting, and the output is the eye drop timing notification.

[1054] Step 6:

[1055] The device's built-in emotion engine recognizes emotions from the user's facial and voice data and sends that data to a server. The server then integrates the emotion data with other health data for analysis. For example, if the user is feeling stressed, that information is recognized by the emotion engine and sent to the server. The input data is facial and voice data, and the output is the emotion recognition results.

[1056] Step 7:

[1057] The server analyzes all data based on emotional data and proposes the optimal care plan for the user. For example, if the user is feeling stressed, it may advise increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops. The input data is health data and emotional data, and the output is the optimal care plan.

[1058] Step 8:

[1059] The device periodically transmits pupil data, EMS usage data, sleep data, and emotional data to a server, which then collects, stores, and analyzes the data. Users can check their eye health status and past data through a smartphone app. For example, by opening the app and viewing data from the past month, users can take comprehensive eye care measures. The input data is various health data, and the output is a comprehensive health analysis and advice.

[1060] (Application example 2)

[1061] 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."

[1062] Existing systems aimed at managing eye health and alleviating fatigue include features such as electrical stimulation, pupil monitoring, and sleep pattern analysis, but no systems offer personalized care suggestions based on the user's emotional state or link to e-commerce platforms. This poses a challenge in providing a service that combines detailed health management with purchasing suggestions based on that information.

[1063] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to use eye drops, an emotion engine means for analyzing emotion data and proposing an individualized care plan, and an e-commerce linkage means for connecting to an e-commerce platform using user data. This makes it possible to simultaneously provide individualized care suggestions based on the user's emotional state and timely purchase suggestions.

[1064] An "electrical stimulation device" is a device that sends a small electric current to the muscles around the eyes to promote relaxation and relieve fatigue.

[1065] The "camera means" is a camera device for monitoring the state of the user's pupils and acquiring data.

[1066] "Sensor means" refers to a sensor device that acquires the data necessary to analyze the user's sleep patterns.

[1067] The "notification means" is a device or system for notifying the user of the timing of eye drops or any abnormalities.

[1068] The "server means" is a central management device that manages, stores, and analyzes the data acquired by each means, and provides an optimal care plan.

[1069] The "emotion engine means" is an analysis device that analyzes the user's emotions from facial expressions and voice data, and proposes an individual care plan based on the results.

[1070] The "electronic commerce linking means" is a system that uses the user's health data to link with an electronic commerce platform and make product purchase suggestions at the appropriate time.

[1071] This invention relates to an AI eye mask system that incorporates an emotion engine that analyzes user emotion data and e-commerce linkage means, with the aim of managing eye health and alleviating fatigue. This system is implemented by combining the following elements:

[1072] 1. How Electrical Stimulation Devices (EMS) Work

[1073] The device uses a built-in electrical stimulation device (EMS) to send a small current to the muscles around the eyes based on a user-set schedule, which relaxes the eye muscles and reduces fatigue. For example, if the user sets the EMS function to activate at 3:00 p.m., electrical stimulation will begin at the specified time.

[1074] 2. Pupil monitoring function

[1075] The device's built-in camera captures the user's pupil state and sends the data to a server. The server analyzes the received pupil data in real time and notifies the user via a smartphone app if an abnormality is detected. For example, if the pupil reaction is slower than normal, the server will send a notification suggesting a possible abnormality.

[1076] 3. Sleep management function

[1077] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server then analyzes the data and provides advice to the user on how to improve their sleep. For example, while the user is wearing an eye mask, the system can track the depth of their sleep and automatically activate the EMS function at the optimal time.

[1078] 4. Eye drop timing notification function

[1079] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[1080] 5. Operation of the Emotion Engine

[1081] The device's built-in emotion engine recognizes emotions from the user's facial expressions and voice data and sends the data to a server. The server then integrates and analyzes the emotion data with other health data to provide a personalized care plan based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[1082] 6. E-commerce integration function

[1083] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. Based on the results, it connects to an e-commerce platform and makes timely suggestions for purchasing eye drops and other care products. For example, it can recommend specific eye drops based on the user's emotional state and send notifications to encourage purchases.

[1084] Specific examples

[1085] 1. User operation: The user opens the app "Eye Care Planner" and checks the emotion data analysis results.

[1086] 2. Display message:

[1087] Hello, after analyzing your current emotional data and health status, we recommend you try some relaxation eye drops. Click here to purchase online.

[1088] Prompt Sentence Examples

[1089] Prompt statement:

[1090] Hello. After analyzing your current emotional data, it appears that you are feeling fatigued. I would recommend using eye care products that have a particularly relaxing effect. You can purchase them online here.

[1091] The main software and hardware used are:

[1092] Front-end: React Native (smartphone app development)

[1093] Backend: Node.js, Express

[1094] Database: MongoDB (data storage and management)

[1095] AI model and analysis: Python, TensorFlow (emotion recognition and data analysis)

[1096] In this way, the system of the present invention combines a variety of data collection and analysis means to provide optimal eye care for each user while also being able to link with e-commerce.

[1097] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1098] Step 1:

[1099] The device activates an electrical stimulation device (EMS) based on a schedule set by the user, sending a small current to the muscles around the eyes. The input is the schedule data set by the user, and the output is the EMS current, which has a relaxing effect.

[1100] Step 2:

[1101] The built-in camera in the device captures the user's pupil state. The pupil image data acquired by the camera is used as input, and the data is sent to the server as output.

[1102] Step 3:

[1103] The server analyzes the received pupil data in real time and sends an alert to the user if an abnormality is detected. It uses pupil data as input and processes the data to detect abnormalities using a specific algorithm. If an abnormality is detected as output, an alert notification is sent.

[1104] Step 4:

[1105] The sensor means of the device monitors the user's sleep patterns and transmits the data to the server. The sleep data obtained by the sensor is used as input and the data is transmitted to the server as output.

[1106] Step 5:

[1107] The server analyzes the received sleep data and generates advice to encourage the user to get a good night's sleep. The server uses the sleep data as input and generates advice as output, which is then displayed on the smartphone app.

[1108] Step 6:

[1109] The user sets the time to apply eye drops using a smartphone app. The user's eye drop timing setting data is used as input, and the setting data is sent to the server as output.

[1110] Step 7:

[1111] The server uses the emotion engine means to analyze the user's facial expression and voice data and generate emotion data, using the facial expression and voice data as input and generating emotion data as output.

[1112] Step 8:

[1113] The server integrates and analyzes emotion data and other health data to propose an individualized care plan to the user. The server uses emotion data, pupil data, and sleep data as input, and generates a care plan as output, which is then displayed on a smartphone app.

[1114] Step 9:

[1115] The server uses e-commerce integration means to make timely purchase suggestions for eye drops and other care products, using the generated care plan as input and sending a notification of the purchase suggestion to the smartphone app as output.

[1116] 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.

[1117] 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.

[1118] 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.

[1119] [Fourth embodiment]

[1120] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1121] 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.

[1122] 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).

[1123] 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.

[1124] 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.

[1125] 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).

[1126] 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.

[1127] 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.

[1128] 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.

[1129] 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.

[1130] 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.

[1131] 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.

[1132] 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."

[1133] The present invention relates to an AI eye mask system for managing eye health and relieving fatigue, and includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera device that monitors the state of the pupils, a sensor device that analyzes the user's sleep patterns, a notification device that notifies the user when it is time to apply eye drops, and a server device that manages the data obtained from each of these devices.

[1134] A specific embodiment of the system will now be described.

[1135] 1. How Electrical Stimulation Devices (EMS) Work

[1136] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[1137] 2. Pupil monitoring function

[1138] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[1139] 3. Sleep management function

[1140] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[1141] 4. Eye drop timing notification function

[1142] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[1143] 5. Data management and app integration

[1144] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[1145] The various functions of this system work together to provide comprehensive support for users' eye health management and effectively resolve eye problems caused by prolonged use of digital devices.

[1146] The processing flow will be explained below.

[1147] 1. How Electrical Stimulation Devices (EMS) Work

[1148] Step 1:

[1149] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[1150] Step 2:

[1151] The device sets an internal timer based on the settings.

[1152] Step 3:

[1153] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[1154] 2. Pupil monitoring function

[1155] Step 1:

[1156] The device periodically captures images of the user's pupils using a built-in camera.

[1157] Step 2:

[1158] The captured pupil data is sent to the server.

[1159] Step 3:

[1160] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[1161] Step 4:

[1162] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[1163] 3. Sleep management function

[1164] Step 1:

[1165] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[1166] Step 2:

[1167] The acquired sleep data is sent to a server.

[1168] Step 3:

[1169] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[1170] Step 4:

[1171] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[1172] Step 5:

[1173] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[1174] 4. Eye drop timing notification function

[1175] Step 1:

[1176] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[1177] Step 2:

[1178] The server sets a timer based on the set time.

[1179] Step 3:

[1180] The server may optimize the timing of eye drops based on pupil data and eye condition.

[1181] Step 4:

[1182] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[1183] Step 5:

[1184] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[1185] 5. Data management and app integration

[1186] Step 1:

[1187] The device periodically sends pupil data, EMS usage data, and sleep data to the server.

[1188] Step 2:

[1189] The server stores the received data in a database and analyzes it as needed.

[1190] Step 3:

[1191] The server sends the analysis results to a smartphone app so that users can view them.

[1192] Step 4:

[1193] Users can open the smartphone app to check their eye health and past data.

[1194] Step 5:

[1195] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[1196] Based on the above processing steps, the entire system works together to support the user's eye health management.

[1197] Example 1

[1198] 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."

[1199] In modern society, long-term use of digital devices is causing serious eye fatigue, making eye health management an important issue. It is not easy to find the right timing for using eye drops or effective methods for relaxing the muscles around the eyes. Furthermore, there is a need for early detection of pupil abnormalities and prompt response. A comprehensive system to solve these issues is needed.

[1200] 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.

[1201] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to apply eye drops, server means for managing data obtained from each of these means, program means for administering electrical stimulation based on a set schedule, program means for analyzing pupil data in real time and notifying the user of any abnormalities, program means for tracking the user's sleep patterns and administering electrical stimulation at the optimal timing, and program means for notifying the user when to apply eye drops before a specified time. This provides comprehensive support for the user's eye health management and makes it possible to effectively solve eye problems caused by long-term use of digital devices.

[1202] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[1203] The "camera means" is a camera device for capturing the state of the user's pupils.

[1204] "Sensor means" refers to a sensor device for monitoring the user's sleep patterns.

[1205] The "notification means" is a notification device that notifies the user of the timing of eye drops, etc.

[1206] The "server means" is a server device that manages and analyzes the data obtained from each of these means.

[1207] The "program means" is a program for administering electrical stimulation based on a set schedule.

[1208] "Pupil data" refers to data on the state of the user's pupils captured by a camera means.

[1209] "Analyzing in real time" means analyzing received data immediately on the spot.

[1210] The "program means for notifying abnormalities" is a program that analyzes pupil data and notifies the user if an abnormality is detected.

[1211] "Tracking sleep patterns" means continuously monitoring the user's sleep state by means of sensors.

[1212] The "program means for notifying the timing of eye drops" is a program that notifies the user of the timing of using eye drops before a specified time.

[1213] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, a program that applies electrical stimulation according to a set schedule, a program that analyzes pupil data in real time and notifies the user of abnormalities, a program that tracks the user's sleep patterns and applies electrical stimulation at the optimal timing, and a program that notifies the user when to apply eye drops before the specified time.

[1214] 1. EMS function

[1215] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user via a smartphone app. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to activate at 3:00 PM, the device will begin electrical stimulation at the specified time.

[1216] 2. Pupil monitoring function

[1217] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[1218] 3. Sleep management function

[1219] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[1220] 4. Eye drop timing notification function

[1221] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing depending on the condition of their eyes. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[1222] 5. Data management and app integration

[1223] The device periodically transmits the acquired pupil data, EMS usage data, and sleep data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[1224] Prompt Sentence Examples

[1225] If a user sets the EMS function for 3 PM, how does the device check the setting and what process will be performed at the specified time? Please explain the specific flow.

[1226] By linking multiple functions, this system aims to provide comprehensive support for the user's eye health and effectively resolve eye problems caused by prolonged use of digital devices.

[1227] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1228] Step 1: Configure the EMS feature

[1229] The user opens the smartphone app and accesses the EMS function settings screen. The user inputs the EMS start time and saves the settings. This input data is sent to the application server, where the settings information is saved.

[1230] Step 2: Start the EMS function

[1231] The device activates the EMS function at the specified time. Specifically, the microcontroller inside the device monitors the set time and, when the specified time arrives, sends a command to send a small current to the electrical stimulation device. This activates the EMS and relaxes the eye muscles. The input is setting information from the server, and the output is the start of electrical stimulation.

[1232] Step 3: Capture the pupil

[1233] The device uses a built-in camera to capture the state of the user's pupils. As input, the camera is activated based on the specified time or condition to acquire image data. This image data is pre-processed locally and then sent to the server.

[1234] Step 4: Analyzing pupil data

[1235] The server receives the transmitted pupil data and analyzes it in real time using an AI model. Specifically, it uses an image analysis algorithm to analyze pupil size and reaction speed and determine whether there are any abnormalities. The input is the pupil image data sent from the device, and the output is the analysis results. If an abnormality is detected, a notification is sent.

[1236] Step 5: Monitor your sleep patterns

[1237] The sensors built into the device collect the user's sleep data (heart rate, movement, etc.). This sensor data is temporarily stored inside the device and sent to the server at specified intervals. The input is the data acquired by the sensors, and the output is the sensor data sent to the server.

[1238] Step 6: Analyze your sleep data

[1239] The server receives the transmitted sleep data and applies a data analysis algorithm to analyze the user's sleep patterns, thereby assessing the user's sleep quality and determining the optimal timing for EMS activation. The input is the sleep data sent from the sensor, and the output is the analysis results and the determination of the appropriate EMS activation timing.

[1240] Step 7: Set the timing for your eye drops

[1241] The user inputs and saves the time to apply eye drops using a smartphone app. The server receives the input and stores it in a related database.

[1242] Step 8: Notification of eye drop timing

[1243] When the specified time approaches, the device will notify the user by sound or vibration when it is time to put in eye drops. The input is timing data from the server, and the output is a notification to the user. For example, if a user sets the time to put in eye drops at 10:00 AM and 3:00 PM, the device will notify the user just before those times.

[1244] Step 9: Assemble and provide data

[1245] The device periodically sends the various data it acquires (pupil data, EMS usage data, sleep data) to a server. The server collects and analyzes this data and displays the results on a smartphone app. The input is data from the device, and the output is the analysis results provided to the user via the app. For example, by opening the app, a user can view their eye health data and advice for the past month.

[1246] (Application example 1)

[1247] 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."

[1248] Conventional eye health management systems only provide individual functions such as alleviating user eye fatigue, analyzing sleep patterns, and notifying users when to use eye drops, and do not provide comprehensive eye care. Furthermore, there was a lack of an appropriate system for efficiently managing eye health and stress for security guards who work nights or long hours. This led to the accumulation of eye fatigue and stress from long hours of work, posing a challenge to ensuring safety.

[1249] 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.

[1250] In this invention, the server includes electrical stimulation means for relaxing the muscles around the eyes, camera means for monitoring the state of the pupils, sensor means for analyzing the user's sleep patterns, notification means for notifying the user when to use eye drops, server means for managing the data obtained from each of these means, stress management means for supporting the stress management of the security guard, alert means for detecting abnormalities in the security guard's pupils in real time and issuing an alert if any abnormalities are detected, and sleep management means for monitoring the health of the security guard. This provides comprehensive eye care and stress management for security guards who perform long hours of monitoring work, in addition to conventional eye health management systems, making it possible to ensure the safety and health of users.

[1251] An "electrical stimulation device" is a device that sends a small electric current to relax the muscles around the eyes.

[1252] "Camera means" refers to an optical device for monitoring the state of the user's pupils.

[1253] "Sensor means" refers to a measurement device for detecting and analyzing a user's sleep patterns.

[1254] The "notification means" is an alert function that notifies the user of the optimal timing to apply eye drops.

[1255] The "server means" is an information processing device for collecting, storing, and analyzing data obtained from each means.

[1256] A "stress management device" is a device for managing the stress level of security guards and promoting relaxation.

[1257] The "vigilance alert means" is a device that detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected.

[1258] The "sleep management tool" is a device that monitors the health of security guards and provides optimal eye care.

[1259] This invention relates to an AI eye guard system that provides comprehensive support for security guards' eye health and stress management, and is designed to ensure the health and safety of security guards during long hours of work.

[1260] 1. System Configuration

[1261] The system consists of the following main components:

[1262] Electrical Stimulation Device (EMS): This is a device that delivers a small electrical current to relax the muscles around the eyes. The EMS is built into the smart glasses and operates on a specified schedule.

[1263] Camera means: This device is an optical device for monitoring the pupil state of the guards. It captures the pupil state and transmits the data to the server.

[1264] Sensor means: A measuring device for detecting and analyzing the sleep patterns of security guards. The built-in sensor monitors sleep patterns and transmits the data to a server.

[1265] Notification: An alert function that notifies the guard when it is best to apply eye drops, making vision management easier.

[1266] Server means: An information processing device that aggregates, stores, and analyzes data obtained from each means. The server performs calculations necessary for stress management and abnormality detection, and issues necessary notifications.

[1267] Stress management tool: A device to manage the stress level of security guards and promote relaxation. For example, the EMS function can be used to promote eye relaxation during long shifts.

[1268] Alerting means: This device detects abnormalities in the guard's pupils in real time and issues a warning if any abnormalities are detected. When an abnormality is detected, an alert is issued from the server.

[1269] Sleep management tool: A device that monitors the health of guards and provides optimal eye care.

[1270] 2. Data Acquisition and Management

[1271] The server aggregates and stores data obtained from each method. For example, pupil status data, EMS usage data, and sleep pattern data are collected and analyzed in real time. The analysis results are notified to security personnel as needed.

[1272] 3. Notifications and Alerts

[1273] The notification method not only notifies guards when it is time to use eye drops, but also notifies them if their stress levels are high or if there is an abnormality in their pupils, allowing them to take appropriate action in a timely manner and ensuring the safety and health of guards.

[1274] 4. Examples and prompts

[1275] For example, when a security guard on night patrol uses this AI Eye Guard system, he or she can effectively alleviate eye fatigue and constantly monitor pupil abnormalities. Furthermore, if drowsiness is detected, an alarm will sound immediately and notify the guard when it is appropriate to administer eye drops, helping the guard to maintain focus and ensure safety.

[1276] Example prompt sentence:

[1277] "During night patrols, the AI ​​Eye Guard system is used to manage fatigue and drowsiness and monitor health conditions. It notifies the driver if there is an abnormality in the pupils' condition, and issues an alert and initiates EMS functions if drowsiness occurs. The system continues to notify the driver when it is appropriate to administer eye drops."

[1278] By combining the various functions of the present invention, it is possible to provide comprehensive eye health management and stress management for security guards, significantly improving safety during nighttime and long-term surveillance work.

[1279] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1280] Step 1:

[1281] Stress management measures in action

[1282] The server periodically receives data on the guard's EMS usage from the device (smart glasses). Input data includes the time and frequency of EMS usage. The server calculates the stress level based on this data and displays the result as the degree of eye fatigue. The server also sets the EMS function to automatically activate if the stress level is high. For example, if the EMS is used frequently during long periods of continuous monitoring work, the server determines that the stress level is rising and activates the EMS function again to promote relaxation.

[1283] Step 2:

[1284] Pupil monitoring function

[1285] The device uses a built-in camera to capture images of the guard's pupils and sends the image data to a server. The input data is an image of the pupils, which the server analyzes to obtain parameters such as pupil diameter and reaction speed. If the analysis results are outside the normal range, the server sends an alert to alert the guard. For example, if the pupils' reaction is delayed, a warning may be issued indicating that fatigue is accumulating.

[1286] Step 3:

[1287] Sleep management function

[1288] The device's built-in sensors monitor the guard's sleep patterns and send the acquired data to a server. The input data includes heart rate and body movements, and the server analyzes this data to evaluate the quality of sleep. If it determines that the guard is not getting enough deep sleep, the server uses the EMS function to encourage relaxation. Additionally, if drowsiness is detected during nighttime monitoring, an alert will be activated to wake the guard. For example, if an irregular heart rate is detected, it will be determined that the guard is becoming increasingly drowsy, and the EMS function and alert will be activated simultaneously.

[1289] Step 4:

[1290] Eye drop timing notification function

[1291] The user (security guard) sets the timing for applying eye drops in a smartphone app. The server calculates the appropriate timing based on the setting data, monitoring the eye moisture and pupil state. The input data includes the set timing for applying eye drops and actual eye condition data, and the server compares these and sends a notification to the device when it is time to apply eye drops. For example, if a security guard sets the time to apply eye drops at 10:00 AM and 3:00 PM, the server will measure the dryness of the eyes beforehand and, if necessary, notify the user earlier than the scheduled time.

[1292] Step 5:

[1293] Data Management and Analytics

[1294] The server centrally manages data sent from each means and analyzes it in real time. Input data includes EMS usage data, pupil data, sleep pattern data, and eye drop usage data. The server integrates this data and monitors the health of security guards. For example, it analyzes data from the past week and creates a detailed report on days when stress levels were particularly high or when pupil abnormalities were detected, which can be used to improve future operations.

[1295] 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.

[1296] This invention relates to an AI eye mask system for managing eye health and relieving eye fatigue, incorporating an emotion engine that recognizes the user's emotions. The system includes an electrical stimulation device (EMS) that relaxes the muscles around the eyes, a camera that monitors the state of the pupils, a sensor that analyzes the user's sleep patterns, a notification device that notifies the user when to apply eye drops, a server that manages the data obtained from each of these devices, and the emotion engine that recognizes the user's emotions.

[1297] A specific embodiment of the system will now be described.

[1298] 1. How Electrical Stimulation Devices (EMS) Work

[1299] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes based on a schedule set by the user. This relaxes the eye muscles and relieves fatigue. For example, if the user sets the EMS function to start at 3:00 p.m., the device will begin electrical stimulation at the specified time.

[1300] 2. Pupil monitoring function

[1301] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[1302] 3. Sleep management function

[1303] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It is also possible to automatically activate the EMS function during deep sleep. For example, while the user is sleeping with an eye mask on, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[1304] 4. Eye drop timing notification function

[1305] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[1306] 5. Operation of the Emotion Engine

[1307] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[1308] 6. Collaboration based on emotional data

[1309] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of EMS use or adjusting the timing of eye drops.

[1310] 7. Data management and app integration

[1311] The device periodically transmits the acquired pupil data, EMS usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[1312] In this way, a system that combines an emotion engine not only provides comprehensive support for the user's eye health management, but also provides individualized care according to the user's emotional state.

[1313] The processing flow will be explained below.

[1314] 1. How Electrical Stimulation Devices (EMS) Work

[1315] Step 1:

[1316] The user can use a smartphone app to set the operating time and intensity of the EMS function, for example, to "execute light EMS every day at 3:00 PM."

[1317] Step 2:

[1318] The device sets an internal timer based on the settings.

[1319] Step 3:

[1320] Once the set time is reached, the device activates an electrical stimulation device that sends a small current through the muscles around the eyes, relaxing them and relieving eye fatigue.

[1321] 2. Pupil monitoring function

[1322] Step 1:

[1323] The device periodically captures images of the user's pupils using a built-in camera.

[1324] Step 2:

[1325] The captured pupil data is sent to the server.

[1326] Step 3:

[1327] The server analyzes the received pupil data in real time and evaluates pupil size and reaction speed.

[1328] Step 4:

[1329] If an abnormality is detected, the server generates an alert and sends a notification to the smartphone app, such as "Your pupils are slow to react. We recommend that you consult a doctor."

[1330] 3. Sleep management function

[1331] Step 1:

[1332] The device's built-in sensors monitor the user's sleep patterns, including body movements and heart rate.

[1333] Step 2:

[1334] The acquired sleep data is sent to a server.

[1335] Step 3:

[1336] The server analyzes the sleep data and evaluates the timing of deep sleep and the quality of sleep.

[1337] Step 4:

[1338] Based on the analysis results, the server sends advice to the smartphone app to promote good quality sleep, such as a message saying, "You wake up many times during the night, so we recommend you relax before going to bed."

[1339] Step 5:

[1340] When the user falls into deep sleep, the device will automatically activate the EMS function to relax the muscles around the eyes.

[1341] 4. Eye drop timing notification function

[1342] Step 1:

[1343] The user uses a smartphone app to set the time to put in the eye drops, for example, "put in the eye drops at 10:00 AM and 3:00 PM every day."

[1344] Step 2:

[1345] The server sets a timer based on the set time.

[1346] Step 3:

[1347] The server may optimize the timing of eye drops based on pupil data and eye condition.

[1348] Step 4:

[1349] When the set time approaches, the device will notify the user by sound or vibration that it is time to apply eye drops.

[1350] Step 5:

[1351] The server also simultaneously sends a notification to the smartphone app, informing the user when it is time to put in eye drops.

[1352] 5. Operation of the Emotion Engine

[1353] Step 1:

[1354] The device uses a camera and microphone to capture the user's facial expressions and voice.

[1355] Step 2:

[1356] The emotion engine in the device analyzes the captured data and determines the user's emotion, for example, that the user is feeling stressed.

[1357] Step 3:

[1358] Emotion data is sent to the server.

[1359] 6. Collaboration based on emotional data

[1360] Step 1:

[1361] The server analyzes the emotion data along with pupil and sleep data.

[1362] Step 2:

[1363] The server adjusts the user's care plan based on the analysis results, for example, "Because you are feeling stressed, increase the frequency of use of the EMS function."

[1364] Step 3:

[1365] The adjustment results are notified to a smartphone app, and advice is provided to the user.

[1366] 7. Data management and app integration

[1367] Step 1:

[1368] The device periodically sends pupil data, EMS usage data, sleep data, and emotion data to the server.

[1369] Step 2:

[1370] The server stores the received data in a database and analyzes it as needed.

[1371] Step 3:

[1372] The server sends the analysis results to a smartphone app so that users can view them.

[1373] Step 4:

[1374] Users can open the smartphone app to check their eye health and past data.

[1375] Step 5:

[1376] Users can take care of their eyes by following the advice from the app. For example, if the app notifies them that their pupils have been showing a slower reaction time this month, they can take appropriate measures.

[1377] Based on the above processing steps, the entire system works together to provide comprehensive support for the user's eye health management.

[1378] Example 2

[1379] 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."

[1380] Conventional eye health management systems often do not provide sufficient care for users' eyes, and are unable to provide individualized care according to the user's emotional state. This makes it difficult for users to accurately manage their health and alleviate fatigue. Furthermore, there are few systems that can manage and analyze multiple health data in an integrated manner.

[1381] 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.

[1382] In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to apply eye drops, an emotion engine means for recognizing the user's emotions, and a server means for managing and analyzing data obtained from each of these means. This makes it possible to comprehensively manage the user's eye health and provide individualized care according to their emotional state.

[1383] An "electrical stimulation device" is a device that sends a small electric current through the muscles around the eyes to relax them.

[1384] The "camera means" is a device for photographing the state of the user's pupils and collecting that data.

[1385] "Sensor means" refers to a device that detects the user's sleep patterns and collects and analyzes the data.

[1386] The "notification means" is a device or function for notifying the user when it is time to apply eye drops.

[1387] The "emotion engine means" is a device or software for analyzing the user's facial expressions and voice and recognizing the user's emotional state.

[1388] The "server means" is a central management device that manages and analyzes various data and performs comprehensive eye health management.

[1389] "Data management means" refers to a device or software that stores and analyzes a user's eye health data and emotional data and displays the results on the user's device.

[1390] The "alert means" is a device or function for notifying the user when an abnormality is detected based on the pupil state and emotion data.

[1391] This invention relates to an AI eye mask system for the purpose of managing eye health and relieving fatigue. The invention includes the following components to comprehensively manage eye health, including the user's emotional state:

[1392] How Electrical Stimulation Devices (EMS) Work

[1393] The device (AI eye mask) has a built-in electrical stimulation device that sends a small current to the muscles around the eyes to relax them. This electrical stimulation is performed based on a schedule set by the user through a smartphone app. For example, if the user sets the electrical stimulation to occur at 3:00 PM, the device will begin the electrical stimulation at the specified time.

[1394] Pupil monitoring function

[1395] The device uses a built-in camera to capture the state of the user's pupils and periodically transmits the data to a server. The server analyzes the received pupil data in real time and notifies the user if an abnormality is detected. For example, if the pupils' reaction is slower than normal, the server will alert the user via a smartphone app.

[1396] Sleep management function

[1397] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server analyzes the data and provides advice to the user on how to achieve better quality sleep. It can also automatically activate an electrical stimulation system (EMS) during deep sleep. For example, while the user is wearing an eye mask, the system tracks the user's sleep patterns and delivers electrical stimulation at the optimal time.

[1398] Eye drop timing notification function

[1399] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies the user when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets their eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify the user at the appropriate times with sound or vibration.

[1400] Emotion Engine Operation

[1401] The device uses a built-in emotion engine to recognize emotions from the user's facial expressions and voice data. The recognized emotion data is sent to a server and analyzed in conjunction with other health data. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[1402] Collaboration function based on emotion data

[1403] The server comprehensively analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. For example, if the user is feeling stressed, it will provide advice such as increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops.

[1404] Data management and app integration

[1405] The device periodically transmits the acquired pupil data, electrical stimulation means (EMS) usage data, sleep data, and emotional data to a server. The server collects, stores, analyzes, and provides this data to the user via a smartphone app. Users can use the app to check their eye health status and past data and take comprehensive eye care measures. For example, by opening the app, users can view their eye health data and advice for the past month.

[1406] Specific examples

[1407] Example prompt sentence:

[1408] "Activate the Electrical Stimulation Device (EMS) at 3 PM, obtain pupil monitoring data, and send it to the server. If the user is feeling stressed, notify them and suggest ways to relax in the app."

[1409] In this way, a system that combines an emotion engine can provide comprehensive support for the user's eye health management and provide individualized care according to the user's emotional state.

[1410] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1411] Step 1:

[1412] The user inputs settings through a smartphone app. The input settings include the EMS schedule, eye drop timing, and other health management parameters. For example, by inputting a setting to start the EMS at 3:00 PM, the device saves this setting in its internal memory and prepares to start operation at the specified time. The input data is the EMS schedule and eye drop timing settings, and the output is saving this data in its internal memory.

[1413] Step 2:

[1414] The device activates the electrical stimulation means (EMS) based on the set time. Based on the setting information retrieved from the internal memory, the EMS sends a small current at the specified time to relax the muscles around the eyes. For example, the EMS is activated at 3:00 PM to apply electrical stimulation around the eyes, thereby relieving eye fatigue. The input data is the EMS schedule, and the output is the relaxed state of the muscles around the eyes.

[1415] Step 3:

[1416] The device captures the state of the pupils with its built-in camera and sends the data to a server. The captured image data is analyzed on the server to measure pupil reaction and size. For example, the camera could take a photo of the pupils every hour and upload the data to the server. If an abnormality is detected as a result of data analysis, a notification is sent to the user. The input data is the pupil image, and the output is the pupil state analysis result and an abnormality notification.

[1417] Step 4:

[1418] The device monitors sleep patterns using built-in sensors. The data acquired by the sensors is sent to a server, which analyzes sleep quality and patterns. For example, the device monitors the user's movements and heart rate while they sleep at night and sends this data to the server at 6:00 AM. The server analyzes the data and provides the user with advice to promote good quality sleep. The input data is sleep pattern data, and the output is sleep quality analysis results and advice.

[1419] Step 5:

[1420] The server manages the timing of eye drops based on the user's settings and notifies the user via the device. A timer is set based on the settings information, and the optimal timing is provided taking into consideration the state of the eyes and the analysis results of the emotion engine. For example, if the settings are to apply eye drops at 10:00 AM and 3:00 PM, the device will notify the user five minutes before those times with sound and vibration. The input data is the eye drop timing setting, and the output is the eye drop timing notification.

[1421] Step 6:

[1422] The device's built-in emotion engine recognizes emotions from the user's facial and voice data and sends that data to a server. The server then integrates the emotion data with other health data for analysis. For example, if the user is feeling stressed, that information is recognized by the emotion engine and sent to the server. The input data is facial and voice data, and the output is the emotion recognition results.

[1423] Step 7:

[1424] The server analyzes all data based on emotional data and proposes the optimal care plan for the user. For example, if the user is feeling stressed, it may advise increasing the frequency of electrical stimulation devices (EMS) or adjusting the timing of eye drops. The input data is health data and emotional data, and the output is the optimal care plan.

[1425] Step 8:

[1426] The device periodically transmits pupil data, EMS usage data, sleep data, and emotional data to a server, which then collects, stores, and analyzes the data. Users can check their eye health status and past data through a smartphone app. For example, by opening the app and viewing data from the past month, users can take comprehensive eye care measures. The input data is various health data, and the output is a comprehensive health analysis and advice.

[1427] (Application example 2)

[1428] 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."

[1429] Existing systems aimed at managing eye health and alleviating fatigue include features such as electrical stimulation, pupil monitoring, and sleep pattern analysis, but no systems offer personalized care suggestions based on the user's emotional state or link to e-commerce platforms. This poses a challenge in providing a service that combines detailed health management with purchasing suggestions based on that information.

[1430] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes an electrical stimulation means for relaxing the muscles around the eyes, a camera means for monitoring the state of the pupils, a sensor means for analyzing the user's sleep patterns, a notification means for notifying the user when to use eye drops, an emotion engine means for analyzing emotion data and proposing an individualized care plan, and an e-commerce linkage means for connecting to an e-commerce platform using user data. This makes it possible to simultaneously provide individualized care suggestions based on the user's emotional state and timely purchase suggestions.

[1431] An "electrical stimulation device" is a device that sends a small electric current to the muscles around the eyes to promote relaxation and relieve fatigue.

[1432] The "camera means" is a camera device for monitoring the state of the user's pupils and acquiring data.

[1433] "Sensor means" refers to a sensor device that acquires the data necessary to analyze the user's sleep patterns.

[1434] The "notification means" is a device or system for notifying the user of the timing of eye drops or any abnormalities.

[1435] The "server means" is a central management device that manages, stores, and analyzes the data acquired by each means, and provides an optimal care plan.

[1436] The "emotion engine means" is an analysis device that analyzes the user's emotions from facial expressions and voice data, and proposes an individual care plan based on the results.

[1437] The "electronic commerce linking means" is a system that uses the user's health data to link with an electronic commerce platform and make product purchase suggestions at the appropriate time.

[1438] This invention relates to an AI eye mask system that incorporates an emotion engine that analyzes user emotion data and e-commerce linkage means, with the aim of managing eye health and alleviating fatigue. This system is implemented by combining the following elements:

[1439] 1. How Electrical Stimulation Devices (EMS) Work

[1440] The device uses a built-in electrical stimulation device (EMS) to send a small current to the muscles around the eyes based on a user-set schedule, which relaxes the eye muscles and reduces fatigue. For example, if the user sets the EMS function to activate at 3:00 p.m., electrical stimulation will begin at the specified time.

[1441] 2. Pupil monitoring function

[1442] The device's built-in camera captures the user's pupil state and sends the data to a server. The server analyzes the received pupil data in real time and notifies the user via a smartphone app if an abnormality is detected. For example, if the pupil reaction is slower than normal, the server will send a notification suggesting a possible abnormality.

[1443] 3. Sleep management function

[1444] The device's built-in sensors monitor the user's sleep patterns and send the data to a server. The server then analyzes the data and provides advice to the user on how to improve their sleep. For example, while the user is wearing an eye mask, the system can track the depth of their sleep and automatically activate the EMS function at the optimal time.

[1445] 4. Eye drop timing notification function

[1446] Users can use a smartphone app to set the time to put in their eye drops. The server sets a timer based on the set time and adjusts the optimal timing based on the condition of their eyes and the results of emotion analysis by the emotion engine. The device notifies users when it is time to put in their eye drops and also notifies the smartphone app. For example, if a user sets eye drops to be put in at 10:00 AM and 3:00 PM, the device will notify them with sound or vibration at the appropriate times.

[1447] 5. Operation of the Emotion Engine

[1448] The device's built-in emotion engine recognizes emotions from the user's facial expressions and voice data and sends the data to a server. The server then integrates and analyzes the emotion data with other health data to provide a personalized care plan based on the user's emotional state. For example, if the user is feeling stressed, the emotion engine will detect that data and send it to the server.

[1449] 6. E-commerce integration function

[1450] The server analyzes all data, including emotional data, and proposes optimal eye health management and care plans for the user. Based on the results, it connects to an e-commerce platform and makes timely suggestions for purchasing eye drops and other care products. For example, it can recommend specific eye drops based on the user's emotional state and send notifications to encourage purchases.

[1451] Specific examples

[1452] 1. User operation: The user opens the app "Eye Care Planner" and checks the emotion data analysis results.

[1453] 2. Display message:

[1454] Hello, after analyzing your current emotional data and health status, we recommend you try some relaxation eye drops. Click here to purchase online.

[1455] Prompt Sentence Examples

[1456] Prompt statement:

[1457] Hello. After analyzing your current emotional data, it appears that you are feeling fatigued. I would recommend using eye care products that have a particularly relaxing effect. You can purchase them online here.

[1458] The main software and hardware used are:

[1459] Front-end: React Native (smartphone app development)

[1460] Backend: Node.js, Express

[1461] Database: MongoDB (data storage and management)

[1462] AI model and analysis: Python, TensorFlow (emotion recognition and data analysis)

[1463] In this way, the system of the present invention combines a variety of data collection and analysis means to provide optimal eye care for each user while also being able to link with e-commerce.

[1464] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1465] Step 1:

[1466] The device activates an electrical stimulation device (EMS) based on a schedule set by the user, sending a small current to the muscles around the eyes. The input is the schedule data set by the user, and the output is the EMS current, which has a relaxing effect.

[1467] Step 2:

[1468] The built-in camera in the device captures the user's pupil state. The pupil image data acquired by the camera is used as input, and the data is sent to the server as output.

[1469] Step 3:

[1470] The server analyzes the received pupil data in real time and sends an alert to the user if an abnormality is detected. It uses pupil data as input and processes the data to detect abnormalities using a specific algorithm. If an abnormality is detected as output, an alert notification is sent.

[1471] Step 4:

[1472] The sensor means of the device monitors the user's sleep patterns and transmits the data to the server. The sleep data obtained by the sensor is used as input and the data is transmitted to the server as output.

[1473] Step 5:

[1474] The server analyzes the received sleep data and generates advice to encourage the user to get a good night's sleep. The server uses the sleep data as input and generates advice as output, which is then displayed on the smartphone app.

[1475] Step 6:

[1476] The user sets the time to apply eye drops using a smartphone app. The user's eye drop timing setting data is used as input, and the setting data is sent to the server as output.

[1477] Step 7:

[1478] The server uses the emotion engine means to analyze the user's facial expression and voice data and generate emotion data, using the facial expression and voice data as input and generating emotion data as output.

[1479] Step 8:

[1480] The server integrates and analyzes emotion data and other health data to propose an individualized care plan to the user. The server uses emotion data, pupil data, and sleep data as input, and generates a care plan as output, which is then displayed on a smartphone app.

[1481] Step 9:

[1482] The server uses e-commerce integration means to make timely purchase suggestions for eye drops and other care products, using the generated care plan as input and sending a notification of the purchase suggestion to the smartphone app as output.

[1483] 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.

[1484] 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.

[1485] 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.

[1486] 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.

[1487] FIG. 9 illustrates 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 behaviors 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.

[1488] 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.

[1489] 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).

[1490] 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.

[1491] 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."

[1492] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1493] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1494] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1495] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1496] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1497] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1498] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1499] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1500] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1501] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1502] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1503] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1504] The following is further disclosed regarding the above embodiment.

[1505] (Claim 1)

[1506] an electrical stimulation means for relaxing the muscles around the eyes;

[1507] camera means for monitoring pupil status;

[1508] sensor means for analyzing the sleep patterns of a user;

[1509] A notification means for notifying the timing of eye drops;

[1510] a server means for managing data obtained from each of these means;

[1511] A system including:

[1512] (Claim 2)

[1513] 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data on a smartphone app.

[1514] (Claim 3)

[1515] 10. The system of claim 1, further comprising an alert means for notifying a user of an abnormality based on a pupil state.

[1516] "Example 1"

[1517] (Claim 1)

[1518] an electrical stimulation means for relaxing the muscles around the eyes;

[1519] camera means for monitoring pupil status;

[1520] sensor means for analyzing the sleep patterns of a user;

[1521] A notification means for notifying the timing of eye drops;

[1522] a server means for managing data obtained from each of these means;

[1523] a programming means for applying electrical stimulation according to a set schedule;

[1524] A program means for analyzing pupil data in real time and notifying abnormalities;

[1525] a program means for tracking the user's sleep patterns and delivering electrical stimulation at optimal times;

[1526] a program means for notifying the timing of eye drops before a designated time;

[1527] A system including:

[1528] (Claim 2)

[1529] 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data on a smartphone app.

[1530] (Claim 3)

[1531] 10. The system of claim 1, further comprising an alert means for notifying a user of an abnormality based on a pupil state.

[1532] "Application Example 1"

[1533] (Claim 1)

[1534] an electrical stimulation means for relaxing the muscles around the eyes;

[1535] camera means for monitoring pupil status;

[1536] sensor means for analyzing the sleep patterns of a user;

[1537] A notification means for notifying the timing of eye drops;

[1538] a server means for managing data obtained from each of these means;

[1539] Stress management measures to assist guards in managing their stress;

[1540] A means of detecting abnormalities in the guard's pupils in real time and issuing a warning if any abnormalities are detected.

[1541] Sleep management measures to monitor the health of guards;

[1542] A system including:

[1543] (Claim 2)

[1544] 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data and stress management data on the smartphone app.

[1545] (Claim 3)

[1546] 10. The system of claim 1, further comprising an alert means for notifying a user of an abnormality based on a pupil state or a stress level.

[1547] "Example 2: Combining Emotion Engines"

[1548] (Claim 1)

[1549] an electrical stimulation means for relaxing the muscles around the eyes;

[1550] camera means for monitoring pupil status;

[1551] sensor means for analyzing the sleep patterns of a user;

[1552] A notification means for notifying the timing of eye drops;

[1553] emotion engine means for recognizing the emotion of a user;

[1554] A server means for managing and analyzing data obtained from each of these means;

[1555] A system including:

[1556] (Claim 2)

[1557] 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data and emotion data on the user terminal.

[1558] (Claim 3)

[1559] 10. The system of claim 1, further comprising an alerting means for notifying a user of an abnormality based on pupil state and emotion data.

[1560] "Application example 2 when combining emotion engines"

[1561] (Claim 1)

[1562] an electrical stimulation means for relaxing the muscles around the eyes;

[1563] camera means for monitoring pupil status;

[1564] sensor means for analyzing the sleep patterns of a user;

[1565] A notification means for notifying the timing of eye drops;

[1566] a server means for managing data obtained from each of these means;

[1567] an emotion engine means for analyzing emotion data and proposing an individual care plan;

[1568] an e-commerce linking means for connecting to an e-commerce platform using user data;

[1569] A system including:

[1570] (Claim 2)

[1571] 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data on a smartphone app.

[1572] (Claim 3)

[1573] 10. The system of claim 1, further comprising an alert means for notifying a user of an abnormality based on a pupil state. [Explanation of symbols]

[1574] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. an electrical stimulation means for relaxing the muscles around the eyes; camera means for monitoring pupil status; sensor means for analyzing the sleep patterns of a user; A notification means for notifying the timing of eye drops; a server means for managing data obtained from each of these means; A system including:

2. 10. The system of claim 1, further comprising a data management means for storing, analyzing, and displaying the user's eye health data on a smartphone app.

3. The system according to claim 1 , further comprising an alert means for notifying a user of an abnormality based on the state of the pupils.

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