WO2016192565A1 - Système de surveillance d'utilisation d'œil individuel - Google Patents

Système de surveillance d'utilisation d'œil individuel Download PDF

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Publication number
WO2016192565A1
WO2016192565A1 PCT/CN2016/083429 CN2016083429W WO2016192565A1 WO 2016192565 A1 WO2016192565 A1 WO 2016192565A1 CN 2016083429 W CN2016083429 W CN 2016083429W WO 2016192565 A1 WO2016192565 A1 WO 2016192565A1
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WIPO (PCT)
Prior art keywords
user
information
eye
monitoring system
wearable device
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PCT/CN2016/083429
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English (en)
Chinese (zh)
Inventor
吴砚
纪盈如
黄怡皓
张镇达
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杭州镜之镜科技有限公司
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Filing date
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Priority claimed from CN201510297620.0A external-priority patent/CN104905761B/zh
Priority claimed from CN201520373506.7U external-priority patent/CN205094389U/zh
Application filed by 杭州镜之镜科技有限公司 filed Critical 杭州镜之镜科技有限公司
Publication of WO2016192565A1 publication Critical patent/WO2016192565A1/fr

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00Apparatus for testing the eyes; Instruments for examining the eyes

Definitions

  • the present invention relates to the field of wearable technology, and more particularly to a personal eye monitoring system using wearable technology.
  • the Chinese Patent Application Publication No. CN103479361A discloses a smart eyeglass and a method for monitoring exercise, preventing myopia, and correcting a sitting posture.
  • the smart glasses collect a plurality of eye data, and when any one of the eye data exceeds a set threshold, an alarm is triggered to remind the user to pay attention to eye health, thereby achieving the purpose of protecting the eyes.
  • the method only collects data through the smart glasses itself, and uses a single threshold to determine the collected data. This method is simple and rough, and does not consider the individual situation of each user, so that the alarm may be triggered frequently.
  • Chinese Patent Application Publication No. CN103944977A discloses a cloud health information management system and method based on a wearable device. Firstly, the health indicators of the human body are first detected by the wearable device, and then the indicators are sent to the database of the server, and the cloud computing module analyzes and processes the indicators, and stores them in a database of the server, and the user can pass The mobile terminal accesses the query health indicator.
  • the present invention provides a personal eye monitoring system using wearable technology.
  • the personal eye monitoring system of the present invention not only utilizes information collected by the wearable device, but also utilizes user-specific information input by the user to provide eye suggestions to the user.
  • the personal eye monitoring system of the present invention uses an expert engine in the cloud processing Helps to correct the classification or selection of implementations to provide more accurate and applicable feedback.
  • a personal eye monitoring system comprising: a wearable device comprising a sensor for collecting physical and environmental information related to a user's eye condition; a user terminal comprising a user interface a user-information for receiving the user input; a cloud module, comprising a cloud processing unit, configured to classify information collected by the wearable device and user-specific information input to the user terminal Determining a user's eye type, wherein the cloud module further includes an expert engine for modifying the classification performed by the cloud processing unit based on a specific rule or model.
  • the cloud processing unit further selects one or more suggestions for the user according to the modified classification, and the expert engine further performs a recommendation of the cloud processing unit selection based on a specific rule or model. Corrected.
  • the sensor includes at least one of the following sensors:
  • a distance measuring sensor for measuring a distance between the user's eyes and the target
  • a light sensor for measuring light information of an environment in which the user is located
  • An angle positioning sensor is configured to obtain position information of the wearable device in a three-dimensional space, and the eye angle information and primary and secondary eye information of the user.
  • the wearable device further includes a micro processing unit for performing preliminary processing on physical and environmental information collected by the sensor.
  • the microprocessing unit analyzes illumination information measured by the sensor using spectral detection techniques to acquire spectral components of respective bands, and uses the acquired spectral components and location information of the wearable device Determining the environmental information of the user.
  • the wearable device further includes a timer for timing the eye time of the user.
  • the user-specific information includes basic information of the user, static eye data of the user, and/or dynamic eye data of the user.
  • the user-specific information also includes an ophthalmology about the user Information on disease history, family history of ophthalmic diseases, history of treatment of ophthalmic diseases, and/or history of medications for ophthalmic diseases.
  • the expert engine is trained using information stored in the cloud module to generate a training model.
  • the training model includes at least one of a neural network model, a partial least squares model, and a regression model.
  • the expert engine also retrains over time to update the generated training model with updated information.
  • the suggestions include at least one of an eye treatment regimen suggestion, an eye habit recommendation, an eye training content suggestion, and a dietary recommendation.
  • the cloud module further transmits the selected suggestion to the user terminal, and the user terminal generates an adjustment for adjusting the operation of the wearable device according to the suggestion fed back by the cloud module. Control information.
  • Figure 1 shows a schematic diagram of a personal eye monitoring system in accordance with the present invention.
  • FIG. 1 shows a schematic diagram of a personal eye monitoring system 100 in accordance with the present invention.
  • a personal eye monitoring system 100 in accordance with the present invention includes a wearable device 10, a user terminal 20, and a cloud module 30.
  • the wearable device 10 can be various smart devices that can be worn on a human body.
  • the wearable device 10 can be implemented as wearable smart glasses.
  • the wearable device 10 of the present invention is not limited thereto, but can be implemented as any other device capable of realizing the functions of the wearable device 10 as described below.
  • wearable device 10 includes one or more sensors 12 for collecting physical and environmental information related to a user's eye condition.
  • the senor 12 can include a ranging sensor for measuring the distance between the user's eyes and a target, such as a book or screen viewed by the user.
  • sensor 12 may include a light sensor for measuring illumination information of the environment in which the user is located, such as light intensity information and the like.
  • the senor 12 can include an angular positioning sensor for obtaining positional information of the wearable device 10 in three-dimensional space as well as user's eye angle information and primary and secondary eye information.
  • the wearable device 10 also includes a microprocessing unit 14 for performing preliminary processing of the physical and environmental information collected by the sensor 12.
  • the microprocessing unit 14 may analyze the illumination information measured by the light sensor using spectral detection techniques to obtain spectral components for each band. Further, the micro processing unit 14 can determine the environmental information of the user by using the acquired spectral components and the position information obtained by the angular positioning sensor. The environmental information can be classified into an indoor environment and an outdoor environment. For example, when the ultraviolet (UV) value measured by the light sensor (or more specifically, the ultraviolet sensor) is greater than zero, the micro processing unit 14 can determine that the user is in an outdoor environment. On the other hand, when the measured UV value is equal to zero, the microprocessor unit 14 can determine that the user is in an indoor environment. This is because ultraviolet rays cannot pass through obstacles such as glass or walls.
  • UV ultraviolet
  • the UV value reaching the user's eyes is greater than 0, it means that ultraviolet rays can be directly directed to the user's eyes.
  • the user can be considered to be in an outdoor environment, and vice versa.
  • the user is in an indoor environment.
  • the micro processing unit 14 can determine whether the user is correctly worn based on the position information of the wearable device 10 in the three-dimensional space obtained by the angular positioning sensor. Device 10.
  • the wearable device 10 can also include a timer 16 for timing the user's eye time.
  • the user's eye time is timed by the angular positioning sensor along with the timer 16.
  • the angular positioning sensor can measure the angular value of the wearable device 10 in three directions, and the timer 16 can continue to time after the wearable device 10 is turned on.
  • the micro processing unit 14 determines that the angular values in the three directions measured by the angular positioning sensor are substantially unchanged within a predetermined time (for example, within 2 minutes) or the variation range is less than a certain threshold, it may be determined that the user is not The wearable device 10 is worn. In this case, it is considered that although the wearable device 10 is turned on, the user does not wear the device but is in a resting state.
  • microprocessor unit 14 may determine that the user is wearing and using the device, and timer 16 times the time of use.
  • Various information collected and/or processed by the wearable device 10 is transmitted to the user terminal 20 to perform preliminary processing on the information, and the preliminary processed information is transmitted to the cloud module 30.
  • the present invention is not limited thereto, and various information collected and/or processed by the wearable device 10 can also be directly transmitted to the cloud module 30 for cloud processing.
  • User terminal 20 may be a variety of devices capable of communicating with wearable device 10 and/or cloud module 30 by wire and/or wirelessly.
  • the user terminal 20 can be a mobile phone, a laptop, a tablet, a desktop, or the like.
  • the user terminal 20 can communicate with the wearable device 10 and/or the cloud module 30 via a wireless method such as a cellular network, WiFi, Bluetooth, or the like via a data line or a wired manner such as the Internet.
  • User terminal 20 includes a user interface 22 for receiving user-specific information entered by the user.
  • user-specific information may include user basic information such as the user's age, gender, and the like.
  • the user-specific information may include static eye data of the user, such as substantially constant data such as a lay length.
  • the user-specific information may include dynamic eye data of the user, such as data such as diopter that may change.
  • the user-specific information received by user interface 22 may also include historical information such as the user's ophthalmic disease history, family ophthalmic disease history, and the like.
  • historical information such as the user's ophthalmic disease history, family ophthalmic disease history, and the like.
  • the medical profession has shown that if parents have nearsightedness, the probability of myopia is greatly increased, so such a history of family eye diseases is also very useful for the user's eye monitoring and diagnosis.
  • the user-specific information received by the user interface 22 may further include the user's ophthalmic disease treatment history information and/or ophthalmic disease medication history information.
  • the personal eye monitoring system 100 will give different treatment or prevention recommendations.
  • User interface 22 includes various interfaces that can be used to receive user input, such as a display screen, touch screen, microphone, and the like.
  • user interface 22 also includes various interfaces that provide output to the user, such as a display screen, speakers, and the like.
  • the user terminal 20 can also include a user terminal processor 24 for processing received information from the wearable device 10 and/or information entered by the user via the user interface 22.
  • the user terminal processor 24 can process the acceleration values of the three directions measured by the angle sensor, convert it into an angle system, and compare the number of seconds recorded by the timer with the current time of the user terminal to calculate the wearable. The time point at which each piece of information in the device 10 is collected.
  • the present invention is not limited thereto, and the user terminal 20 can directly transmit the received or input information to the cloud module 30 without performing any processing thereon.
  • the cloud module 30 can include a cloud processing unit 32 for classifying information collected by the wearable device 10 and input to the user terminal 20.
  • cloud processing unit 32 may use algorithmic processing to classify the received information to determine the user's eye type.
  • the user's eye type can be divided into:
  • Behavioral myopia is the myopia caused by the visual behavior of the eyes that are too heavy. Such myopia is relatively late in onset and can be prevented by behavioral interference, and is therefore a major user group of devices according to the present invention.
  • Hereditary myopia refers to patients with high myopia in the family of both parents. The age of onset of this type of myopia is earlier, and the speed of deepening is faster. Generally speaking, the effects of various prevention methods are not ideal.
  • Myopia associated with disease refers to myopia caused by other eye diseases. This type of myopia prevention is often difficult.
  • the cloud module 30 may also include a cloud storage unit 34 for storing information from the wearable device 10 and/or the user terminal 20 of the plurality of users.
  • the cloud storage unit 34 may also store various information or data related to the expert engine 36 as described below, a list of suggestions regarding the user's eyes, and the like.
  • the cloud module 30 further includes an expert engine 36 for modifying the classification performed by the cloud processing unit 32 based on a specific rule or model.
  • Expert engine 36 can be any type of expert system, including a rule based system or a model based system.
  • the expert engine 36 can be implemented using any of a neural network system, a partial least squares system, a principal component analysis system, a regression system, and the like.
  • the expert engine 36 can be trained using various information stored in the cloud storage unit 34 to generate training models, such as neural network models, partial least squares models, regression models, etc., and the expert engine 36 can use the generated models to process the cloud.
  • the classification performed by unit 32 is corrected.
  • the expert engine 36 can also retrain with updated received information over time to update the generated training model.
  • the cloud processing unit 32 selects one or more suggestions for the user from the suggested list of the user's eyes stored in the cloud storage unit 34 according to the corrected classification.
  • the expert engine 36 can also modify the suggestions selected by the cloud processing unit 32 based on specific rules or models.
  • a specific training or treatment plan can be provided for it, and for the remaining types of myopia, only certain eye suggestions can be given.
  • the first type of myopia it can be further divided into multiple sub-categories according to two factors of myopia and age.
  • the degree of myopia can be further divided into mild myopia (-3.00D or less), moderate myopia (-3.00D ⁇ -6.00D) and high myopia (-6.00D or more); according to age can be further divided into 14 years old Previously, 14-18 years old and 18 years old.
  • the first type of myopia can be further divided into 9 sub-categories, and then the cloud processing unit 32 and the expert engine 36 provide the user with a personalized training or treatment plan according to the specific sub-category to which the user belongs.
  • the training or treatment plan is also automatically adjusted based on changes in user-specific information, such as the user's dynamic eye data, such as myopia.
  • the suggestions selected by the cloud processing unit 32 and/or the suggestions modified by the expert engine 36 are transmitted back to the user terminal 20.
  • the user terminal 20 may filter the suggestions fed back by the cloud module 30 and provide only the filtered suggestions to the user.
  • the user terminal 20 can present the suggestion to the user via a display screen or touch screen, output the suggestion to the user in a voiced form through the speaker, and the like.
  • the recommendations described herein may include any one or more of eye treatment regimen recommendations, eye habit recommendations, eye training content recommendations, and dietary recommendations.
  • the user terminal 20, and more specifically, the user terminal processor 24, may also generate control information for adjusting the operation of the wearable device 10 based on the feedback fed back by the cloud module 30.
  • control information can be used to adjust the manner in which the wearable device 10 operates.
  • the control information can be used to adjust the manner in which one or more of the sensors 12 collect data, such as the time interval of acquisition.
  • the control information may be used to adjust the threshold for the micro-processing unit 14 to perform spectral detection, such as how much distance is considered to be too close to the user's eye, and how much light is considered to be too strong or too weak for the user to use the eye illumination.
  • the present invention provides an adaptive system that combines the processing of a wearable device, a user terminal, and a cloud module, and introduces expert advice in a correction coefficient mode, thereby providing comprehensive and professional Systematic eye monitoring and eye recommendations for long-term sustainable protection of vision.
  • the user terminal of the present invention enables a user to input user-specific information thereto,
  • the use of eye monitoring and eye suggestions not only considers the actual measurement data, but also considers personal information related to a specific user (such as user basic information, static eye data, dynamic eye data, ophthalmic disease history, family eye disease history). Information on the history of treatment of ophthalmic diseases and/or the history of medications for ophthalmic diseases).
  • the personal eye monitoring system of the present invention is able to provide more targeted monitoring and advice to the user.
  • the personal eye monitoring system of the present invention also increases the determination of the eye environment, such as indoor or outdoor environments, taking into account the latest theoretical results of the academic community (see “Nature” Journal March 19, 2015 In summary, 3 to 4 hours of outdoor activities per day help protect eyesight, making the proposed eye recommendations more reasonable and authoritative.
  • the functionality described herein can be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored as one or more instructions or code on a computer readable medium or transmitted as one or more instructions or code on a computer readable medium.
  • Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • a storage medium may be any available media that can be accessed by a general purpose or special purpose computer.
  • Such computer readable media may include, for example, without limitation, RAM, ROM, EEPROM, CD-ROM or other optical disk storage device, magnetic disk storage device or other magnetic storage device, or may be used in a general purpose or special purpose computer or general purpose or special purpose Any other medium in the form of an instruction or data structure accessible by the processor to carry or store the desired program code module. Also, any connection can be termed a computer readable medium.
  • coaxial cable fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave
  • coaxial Cables, fiber optic cables, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are also included in the definition of media.
  • a general purpose processor may be a microprocessor, or the processor may be any conventional processor, controller, microcontroller, or state machine.
  • the processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, a combination of one or more microprocessors and a DSP core, or any other such structure.

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  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Ophthalmology & Optometry (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
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Abstract

La présente invention concerne un système de surveillance d'utilisation d'œil individuel (100) comprenant : un dispositif portable (10) comprenant un capteur (12) utilisé pour acquérir des informations physiques et environnementales associées aux conditions d'utilisation d'un œil d'un utilisateur; un terminal d'utilisateur (20) comprenant une interface utilisateur (32) utilisée pour recevoir des informations spécifiques à un utilisateur entrées par l'utilisateur ; et un module de cloud (30) comprenant une unité de traitement de cloud (32) utilisée pour classer les informations acquises par le dispositif portable (10) et les informations spécifiques à l'utilisateur entrées dans le terminal d'utilisateur (20), de manière à déterminer un type des yeux de l'utilisateur, le module de cloud (30) comprenant en outre un moteur expert (36) utilisé pour corriger une classification effectuée par l'unité de traitement de cloud (32) sur la base d'une règle ou d'un modèle spécifique.
PCT/CN2016/083429 2015-06-02 2016-05-26 Système de surveillance d'utilisation d'œil individuel WO2016192565A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
CN201510297620.0 2015-06-02
CN201520373506.7 2015-06-02
CN201510297620.0A CN104905761B (zh) 2015-06-02 2015-06-02 个人用眼监控系统
CN201520373506.7U CN205094389U (zh) 2015-06-02 2015-06-02 个人用眼监控系统

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Cited By (2)

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WO2019075780A1 (fr) * 2017-10-19 2019-04-25 杭州镜之镜科技有限公司 Dispositif portable de prévention et de lutte contre la myopie, et système et procédé de prévention et de lutte contre la myopie
CN110801229A (zh) * 2019-11-15 2020-02-18 英华达(上海)科技有限公司 视力保护监测方法、系统、设备及存储介质

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CN101065766A (zh) * 2004-09-03 2007-10-31 潘那西卡股份有限公司 视觉中心自助式服务机
US20140266988A1 (en) * 2013-03-15 2014-09-18 Eyecam, LLC Autonomous computing and telecommunications head-up displays glasses
CN103479361A (zh) * 2013-09-03 2014-01-01 常州菲胜图自动化仪器有限公司 智能眼镜及利用其监测运动、预防近视、矫正坐姿的方法
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019075780A1 (fr) * 2017-10-19 2019-04-25 杭州镜之镜科技有限公司 Dispositif portable de prévention et de lutte contre la myopie, et système et procédé de prévention et de lutte contre la myopie
CN110801229A (zh) * 2019-11-15 2020-02-18 英华达(上海)科技有限公司 视力保护监测方法、系统、设备及存储介质

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