CN106897725A - A kind of method and device for judging user's asthenopia - Google Patents

A kind of method and device for judging user's asthenopia Download PDF

Info

Publication number
CN106897725A
CN106897725A CN201510957110.1A CN201510957110A CN106897725A CN 106897725 A CN106897725 A CN 106897725A CN 201510957110 A CN201510957110 A CN 201510957110A CN 106897725 A CN106897725 A CN 106897725A
Authority
CN
China
Prior art keywords
statistic
eye
feature parameter
difference
eye feature
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510957110.1A
Other languages
Chinese (zh)
Inventor
杨璞
王秀梅
杜霁轩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Xian Zhongxing New Software Co Ltd
Original Assignee
Xian Zhongxing New Software Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Xian Zhongxing New Software Co Ltd filed Critical Xian Zhongxing New Software Co Ltd
Priority to CN201510957110.1A priority Critical patent/CN106897725A/en
Priority to PCT/CN2016/075876 priority patent/WO2017101226A1/en
Publication of CN106897725A publication Critical patent/CN106897725A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18Eye characteristics, e.g. of the iris
    • G06V40/197Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/758Involving statistics of pixels or of feature values, e.g. histogram matching
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Ophthalmology & Optometry (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Image Analysis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a kind of method for judging user's asthenopia, the method for the judgement user asthenopia includes:Obtain eye image;The eye image is analyzed, to determine the eye feature parameter in the eye image;The eye feature parameter is matched with predetermined threshold value, according to the matching result determine user whether asthenopia.

Description

A kind of method and device for judging user's asthenopia
Technical field
The present invention relates to the communications field, more particularly to a kind of method and device for judging user's asthenopia.
Background technology
Present inventor at least has found correlation technique during the embodiment of the present application technical scheme is realized In there is following technical problem:
The method that user's asthenopia is judged during existing using terminal, using apart from acquisition module in display screen When bright, the distance of eye distance display is sensed at interval of setting time;Specifically include:First, using people Face identification module obtains the position of eyes;Then, using range sensor sensing eye distance display screen away from From;Or, it is described to include sender unit, signal receiver, range sensor apart from acquisition module, use The position of family eyes is provided with sender unit, and signal receiver is provided with display screen, is connect by signal receiver The signal that sender unit sends is received, so as to obtain the position of eyes, and then eye is obtained using range sensor Distance of the eyeball apart from display screen;Whether step S2, the range information of judging distance sensor sensing reach setting Value, the alert if setting value is reached.This method for judging user's asthenopia was needed at end Extra addition range sensor on end, and this range sensor is different from common Proximity Sensor, Common Proximity Sensor can only sense 3 to 6 centimetres of distance, it is impossible to the need for meeting in eyeshield patent, Therefore special range sensor is needed, further results in the increase of hardware cost, and once exceed distance Threshold value, can frequently remind, and cause Consumer's Experience bad.
It can be seen that, not only hardware cost is high for the existing method for judging user's asthenopia, and Consumer's Experience is not It is good, need a kind of method for judging user's asthenopia that need not increase hardware cost badly.
The content of the invention
In view of this, the embodiment of the present invention desirable to provide it is a kind of judge user's asthenopia method and device, The problem of prior art presence is solve at least, eyes guarantor is carried out by the electronic equipment for not increasing special hardware Shield.
What the technical scheme of the embodiment of the present invention was realized in:
A kind of method of judgement user asthenopia of the embodiment of the present invention, methods described includes:
Obtain eye image;
The eye image is analyzed, to determine the eye feature parameter in the eye image;
The eye feature parameter is matched with predetermined threshold value, is determined that user is according to the matching result No asthenopia.
In such scheme, methods described also includes, when the bright screen duration of screen is more than default bright screen threshold value, The eye image is obtained by camera.
In such scheme, methods described also includes, when default user's operation is received, starts monitor screen The bright screen state of curtain obtains the bright screen duration of screen.
In such scheme, by the eye feature parameter and predetermined threshold value match including:
The statistic of the eye feature parameter and the standard statistic of eye feature parameter are compared, are obtained Go out the statistic difference of eye feature parameter, the statistic difference of the eye feature parameter is default with described Statistic difference threshold be compared;Or,
The statistic of the eye feature parameter is directly compared with the statistic threshold value.
In such scheme, methods described also includes:
Acquisition standard eye image;
The standard eye image is analyzed, the eye feature parameter in the standard eye image is determined Standard statistic.
In such scheme, determine whether asthenopia includes user according to the matching result:
When the statistic difference of the eye feature parameter is more than or equal to the first difference threshold, user is determined Asthenopia;Or,
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value, user's eyesight is determined Fatigue.
In such scheme, methods described also includes:
When the statistic difference of the eye feature parameter is more than or equal to first difference threshold and less than institute When stating the second difference threshold, eyeshield prompting is carried out;
When the statistic difference of the eye feature parameter is more than or equal to second difference threshold, carry out The screen that goes out treatment.
In such scheme, methods described also includes:
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value and less than described During the second statistic threshold value, eyeshield prompting is carried out;
When the statistic of the eye feature parameter is more than or equal to the second statistic threshold value, gone out Screen treatment.
A kind of device of judgement user asthenopia of the embodiment of the present invention, described device includes:Acquisition module, Analysis module and matching module, wherein,
The acquisition module, for obtaining eye image;
The analysis module, for being analyzed to the eye image, with determining the eye image Eye feature parameter;
The matching module, for the eye feature parameter to be matched with predetermined threshold value, according to described Matching result determine user whether asthenopia.
In such scheme, the acquisition module is additionally operable to be more than default bright screen threshold value when the bright screen duration of screen When, the eye image is obtained by camera.
In such scheme, described device also includes, monitoring module, and default user's operation is received for working as When, the bright screen state for starting monitoring screen obtains the bright screen duration of screen.
In such scheme, the matching module, including:Difference submodule or statistic submodule, wherein,
The difference submodule, for by the mark of the statistic of the eye feature parameter and eye feature parameter Quasi- statistic is compared, and draws the statistic difference of eye feature parameter, by the eye feature parameter Statistic difference is compared with the default statistic difference threshold;
The statistic submodule, for the statistic of the eye feature parameter is directly default with described Statistic threshold value is compared.
In such scheme, the acquisition module is additionally operable to acquisition standard eye image;
The analysis module, is additionally operable to be analyzed the standard eye image, determines the standard human eye The standard statistic of the eye feature parameter in image.
In such scheme, the difference submodule is additionally operable to the statistic difference when the eye feature parameter During more than or equal to the first difference threshold, user's asthenopia is determined;
The statistic submodule, is additionally operable to be more than or equal to first when the statistic of the eye feature parameter During statistic threshold value, user's asthenopia is determined.
In such scheme, the difference submodule is additionally operable to:
When the statistic difference of the eye feature parameter is more than or equal to first difference threshold and less than institute When stating the second difference threshold, eyeshield prompting is carried out;
When the statistic difference of the eye feature parameter is more than or equal to second difference threshold, carry out The screen that goes out treatment.
In such scheme, the statistic submodule is additionally operable to:
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value and less than described During the second statistic threshold value, eyeshield prompting is carried out;
When the statistic of the eye feature parameter is more than or equal to the second statistic threshold value, gone out Screen treatment.
A kind of method of judgement user asthenopia of the embodiment of the present invention, obtains eye image;To the people Eye pattern picture is analyzed, to determine the eye feature parameter in the eye image;By eye feature ginseng Number matched with predetermined threshold value, according to the matching result determine user whether asthenopia.Using this hair Bright embodiment, when user is using without the terminal for increasing and decreasing special hardware, terminal will obtain eye image, right After the eye image for collecting is matched after being analyzed with predetermined threshold value, user is judged according to matching result Whether eyes tired, thus directly by camera carry out eyes whether fatigue judgement, carry out eyeshield prompting Or screen treatment is closed, and user's eyes are protected, improve the Consumer's Experience of user.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the method for judging user's asthenopia that the embodiment of the present invention one is provided;
Fig. 2 is the good eyes of state and the contrast for comparing tired eyes;
Fig. 3 is that a kind of flow of the method for judgement user asthenopia that the embodiment of the present invention two is provided is illustrated Figure;
Fig. 4 is that a kind of flow of the method for judgement user asthenopia that the embodiment of the present invention three is provided is illustrated Figure;
Fig. 5 is a kind of structural representation of the device of judgement user asthenopia that the embodiment of the present invention four is provided Figure;
Fig. 6 is the structural representation of the device that the another kind that the embodiment of the present invention four is provided judges user's asthenopia Figure.
Specific embodiment
Implementation to technical scheme below in conjunction with the accompanying drawings is described in further detail.
Embodiment one
The embodiment of the present invention one provides a kind of method for judging user's asthenopia, as shown in figure 1, the judgement The method of user's asthenopia includes:
S101, acquisition eye image;
In the present embodiment, when being read when user is in using terminal, being browsed the operation such as webpage, terminal By camera collection image data, so as to obtain the eye image of active user by camera.
Before eye image is obtained, the bright screen duration of screen is can record, when the bright screen duration of screen is more than pre- If during bright screen threshold value, eye image is obtained by camera.The bright screen time when screen is in bright screen state When reaching regular hour threshold value, camera collection image data, the people's eye pattern in the view data that will be gathered As extracting, the eye image to extracting is analyzed, it is to avoid the camera of terminal is constantly in work shape State, reduces the power consumption of terminal.Such as, default bright screen threshold value is set to 20 minutes, when the screen bright screen time During more than 20 minutes, then it is believed that the user is in the state of consistent viewing screen, and the time of screen is watched It is more long, now, the eye image of user is obtained by camera, the eye image to gathering is analyzed.
When default user's operation is received, into eyeshield pattern, the bright screen state for starting monitoring screen is obtained To the bright screen duration of screen, the bright screen duration that will be obtained is compared with default bright screen threshold value.Terminal is according to pre- If user be operated into eyeshield pattern, default user operation can be default gesture operation, default The various forms of predetermined registration operations such as phonetic order, default key command, the present invention is without limitation.
S102, the eye image is analyzed, to determine the eye feature parameter in the eye image;
Eye image to obtaining is analyzed, by eyeprint identification or image recognition detection eye image The statistic of the eye feature parameter such as white of the eye hyperemia degree or white of the eye accounting, wherein, white of the eye hyperemia degree is white of the eye portion The accounting of the haematochrome for dividing, white of the eye accounting is the accounting of the antholeucin of eye part.When user watches for a long time When display screen and eyes are tired, the red blood silk of white of the eye part increases in its eye, so as to white of the eye part will be caused Haematochrome accounting increase, now, the white of the eye of eye image data in the view data that camera is collected Congested degree becomes greatly or white of the eye accounting diminishes, as shown in Fig. 2 the blank parts of eyes are the white of the eye, shade in figure Part is red blood silk part, and white of the eye hyperemia degree is determined according to dash area, and a figures are the eye in fatigue state Eyeball, white of the eye part has dash area, and b figures are the good eyes of state, and white of the eye part may not exist red blood silk, Thus, without dash area.
S103:The eye feature parameter is matched with predetermined threshold value, is determined according to the matching result User whether asthenopia.
Here, the eye feature parameter and predetermined threshold value match including following two modes:
Mode 1, the statistic of the eye feature parameter is carried out with the standard statistic of eye feature parameter Compare, draw the statistic difference of eye feature parameter, by the statistic difference of the eye feature parameter with The default statistic difference threshold is compared;Mode 2, by the statistic of the eye feature parameter Directly it is compared with the default statistic threshold value.
For mode 1, after drawing the statistic difference of eye feature parameter, the eye feature parameter that will be obtained Statistic difference compare with the first difference threshold, when eye feature parameter statistic difference be more than or first During difference threshold, user's asthenopia is determined.
In the present embodiment, eye feature parametric statistics amount difference threshold may include the first difference threshold and be more than Second difference threshold of the first difference threshold;When the statistic difference of the eye feature parameter is more than or equal to First difference threshold and during less than second difference threshold, carries out eyeshield prompting;Can by vibration, The modes such as sound, screen flicker are pointed out, and point out user's current eye more tired;When the eyes are special When the statistic difference for levying parameter is more than or equal to second difference threshold, screen treatment of going out is carried out, can carried out It is standby or shutdown etc. go out screen treatment, force user cannot continue watch screen so that eyes are rested.It is logical The comparing of the first difference threshold and the second difference threshold and the statistic difference of eye feature parameter is crossed, according to eye The difference of the statistic difference threshold of eyeball characteristic parameter, the degree of fatigue of user's current eye is divided into different Grade, so as to carry out the operation of different protect eyes.
Wherein, standard statistic can be obtained by the healthy eye image for shooting, specifically, obtaining standard human eye Image;The standard eye image is analyzed, the eye feature ginseng in the standard eye image is determined Several standard statistics.
Here, the standard statistic of eye feature parameter is the statistical value of the eye feature parameter of healthy eye, The big I of statistical value default setting in the terminal, also can gather an image for healthy eye by camera That is standard eye image is analyzed and obtains, and is specifically not limited.
For mode 2, by the statistic of the eye feature parameter directly with the default statistic threshold value It is compared;When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value, it is determined that User's asthenopia.
In embodiments of the present invention, statistic threshold value may include the first statistic threshold value and the second statistic threshold, When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value and less than described second During statistic threshold value, into eyeshield prompt modes, pointed out, can by vibration, sound, screen flicker, The modes such as regulation screen intensity are pointed out, and point out user's current eye more tired;When the eye feature When the statistic of parameter is more than or equal to the second statistic threshold value, screen treatment of going out is carried out, can carried out standby Or shutdown etc. go out screen treatment, force user cannot continue watch screen so that eyes are rested.
In the present embodiment, statistic threshold value is divided into the first statistic threshold value, the second statistic threshold value respectively, Difference threshold is divided into the first difference threshold, two level of fatigue of the second difference threshold, in actual applications, The corresponding statistic threshold value that is compared with statistic or statistic difference, difference threshold can be one, It can be multiple;When for one when, directly reminded, when statistic threshold value, difference threshold for it is multiple when, Statistic threshold value is divided into more grades, difference threshold and is divided into more grades, so as to carry out grade more The operation of accurate protect eyes, is illustrated with two in embodiments of the present invention.
By the method for judgement user's asthenopia provided in an embodiment of the present invention, terminal is gathered by camera The view data for using, the eye feature parameter in the view data of collection is matched with predetermined threshold value, Whether asthenopia state is according to matching result decision-making eyes of user, and in certain example fatigue state, Difference according to fatigue state enters eyeshield prompt modes or screen states of going out to carry out eye protection operation, so that On the basis of any hardware cost is not increased, the judgement of user's asthenopia is realized by ordinary terminal, entered One step is carried out by from the different matching result after the comparing of different statistic threshold value or difference threshold Screen of pointing out or go out is operated, and carries out eye protection, and after pointing out user, user continues to watch screen and eyes Degree of fatigue carries out screen treatment of going out when increasing, improve the Consumer's Experience of the terminal.
Embodiment two
Embodiment two provides a kind of method for judging user's asthenopia, as shown in figure 3, including:
S201, monitoring bright screen duration;
When the terminal receives default user to be operated, when eyeshield pattern is opened, terminal starts timer, The bright screen duration of screen is monitored, the bright screen duration of detection is compared with default bright screen threshold value, work as bright screen After duration is less than bright screen threshold value, S201 monitoring bright screen durations are continued executing with;When bright screen duration is more than bright screen threshold value When, perform S202.
Wherein, the eyeshield pattern of terminal can be triggered according to the operation of user preset, such as:By voice, The modes such as button are triggered.For example, when terminal receives voice messaging " the unlatching eyeshield " of user, entering Eyeshield pattern.
S202, collection eye image;
When the bright screen time of the terminal threshold value more than bright screen long, eye image is gathered by camera, here, In order to gather eye image, start the face of the user of the front camera currently viewing screen of collection of terminal View data, the face image data of camera collection, extracts principle, by eye according to face feature before analysis Portion's image segmentation out obtains eye image and extracts eye image.
S203, the eye image to gathering are analyzed the system for determining the white of the eye hyperemia degree in the eye image Metering;
Then image-recognizing method is used, the white of the eye hyperemia degree of eye image is detected;Specifically, using image The method of segmentation, by white of the eye extracting section, calculates distribution of color histogram, counts the accounting of wherein haematochrome, Obtain the statistic of white of the eye hyperemia degree.
S204, the statistic of white of the eye hyperemia degree entered with the first statistic threshold value, the second statistic threshold value respectively Row compares;
Here, the statistic of white of the eye hyperemia degree is entered with the first statistic threshold value, the second statistic threshold value respectively Row compares, the first situation, when the statistic of white of the eye hyperemia degree is less than the first statistic threshold value, enters S202, resurveys current image date, here it is possible to certain collection period periodically gathers human eye Image;Second situation, it is when the statistic of white of the eye hyperemia degree is more than or equal to the first statistic threshold value and small When the second statistic threshold value, S205 is performed;The third situation, when white of the eye hyperemia degree statistic be more than or During equal to the second statistic threshold value, S206 is performed;
Such as, the first statistic threshold value is 10%, and the second statistic threshold value is 15%, when white of the eye hyperemia degree When statistic is 5%, now eye state is relatively good to show user, into S202, continues to gather user's View data;When the statistic of white of the eye hyperemia degree is 13%, now eye state is more tired to show user, Into S205;When the statistic of white of the eye hyperemia degree is 17%, now eye state is very tired to show user, Into S206.
S205, prompting eyes of user protection;
It is determined that when the eyes of user are more tired, into eyeshield prompt modes, being reminded by way of prompting User's current eye is more tired, it is necessary to notice that eyes are rested, specific prompting mode may include:Vibration is carried Show, voice message, message notifying, screen intensity regulation etc. prompting mode, inform that eyes of user has had red The trace of blood, it is noted that protected with eye.
S206, screen operation of going out;
Now, when determining that the eyes of user are in very tired, then give serious warning to and point out and carry out standby Or shutdown etc. go out screen operation, it is enforceable so that user cannot be further continued for browsing screen so that the eyes of user Rested.
In this embodiment, it is white of the eye hyperemia degree to judgement provided in an embodiment of the present invention with eye feature parameter The method of user's asthenopia is illustrated, by the statistical value of the white of the eye hyperemia degree in the image of collection Whether determination eyes are directly compared with default statistic threshold value in fatigue state, and are carried out corresponding Eye protection is operated.
In actual applications, S202 is continued executing with after being pointed out in S205, and according to the people for collecting again Whether the white of the eye hyperemia degree of eye pattern picture determines whether current white of the eye hyperemia degree adds once, and reach more than or wait In the second statistic threshold value, when more than or equal to the second statistic threshold value, S206 is performed.
Embodiment three
Embodiment three provides a kind of method for judging user's asthenopia, in the method, user is started The statistic of the white of the eye hyperemia degree seen in the eyes at screen moment is the standard statistic of eye feature parameter to this What inventive embodiments were provided judges that the method for user's asthenopia is illustrated, as shown in figure 4, including:
The standard statistic of S301, the eye feature parameter of acquisition standard eye image;
When the eyeshield pattern of terminal is opened, terminal starts to see people when screen by camera collection user Eye pattern picture, using eye image now as standard eye image, this eye image functions as health Sample.Now, user does not see screen also for a long time, and the epidemic situation comparison of eyes is good, by eye image now In white of the eye hyperemia degree statistic as standard statistic.
Wherein, the eyeshield pattern of terminal can be triggered according to the operation of user preset, such as:By voice, The modes such as button are triggered.For example, when terminal receives voice messaging " the unlatching eyeshield " of user, entering Eyeshield pattern.
S302, monitoring bright screen duration;
When the eyeshield pattern of the terminal is opened, terminal starts timer, monitors the bright screen duration of screen, will The bright screen duration of detection is compared with default bright screen threshold value, when bright screen duration is less than bright screen threshold value, after It is continuous to perform the S201 monitoring bright screen times;When bright screen duration is more than bright screen threshold value, S303 is performed.
S303, collection eye image;
When the bright screen time of terminal bright screen threshold value is more than, eye image is gathered by camera, here, be Collection eye image, start terminal front camera gather currently viewing screen user face figure As data.
S304, the eye image to gathering are analyzed the system for determining the white of the eye hyperemia degree in the eye image Metering;
The facial image of camera collection, principle is extracted according to face feature before analysis, and eyes image is split Out obtain eye image.Then image-recognizing method is used, white of the eye hyperemia degree is detected;Specifically, using The method of image segmentation, by white of the eye extracting section, calculates distribution of color histogram, statistics wherein haematochrome Accounting, obtains the statistic of white of the eye hyperemia degree.
S305, calculating white of the eye hyperemia degree statistic difference;
The standard statistic of the white of the eye hyperemia degree in the white of the eye hyperemia degree statistic in S304 and S301 is carried out Compare, obtain the statistic difference of white of the eye hyperemia degree,
When the white of the eye hyperemia degree statistic during the standard statistic of white of the eye hyperemia degree is for 2%, S305 is 5%, The statistic difference of white of the eye hyperemia degree is 3%;In the standard statistic of white of the eye hyperemia degree is for 2%, S305 When white of the eye hyperemia degree statistic is 10%, the statistic difference of white of the eye hyperemia degree is 8%;When white of the eye hyperemia degree Standard statistic for the white of the eye hyperemia degree statistic in 2%, S305 for 15% when, the system of white of the eye hyperemia degree Metering difference is 13%.Difference statistic threshold value is compared;
S306, respectively by the statistic difference of white of the eye hyperemia degree respectively with the first difference threshold, the second difference threshold Value compares;
Here, the statistic difference of white of the eye hyperemia degree is entered with the first difference threshold, the second difference threshold respectively Row compares, and comparative result includes three kinds of situations, the first situation, when the statistic of white of the eye hyperemia degree is poor When value is less than the first difference threshold, into S303, current image date is resurveyed, here it is possible to necessarily Collection period periodically gather view data;Second situation, when the statistic difference of white of the eye hyperemia degree More than or equal to the first difference threshold, and during less than the second difference threshold, S307 is performed;The third situation, When the statistic difference of white of the eye hyperemia degree is more than or equal to the second difference threshold, S308 is performed;
Such as, the first difference threshold is 5%, and the second difference threshold is 10%, when the statistics of white of the eye hyperemia degree Measure for 3% when, now eye state is relatively good to show user, into S303, continues to gather the image of user Data;When the statistic of white of the eye hyperemia degree is 8%, now eye state is more tired to show user, enters S307;When the statistic of white of the eye hyperemia degree is 13%, now eye state is very tired to show user, enters Enter S308.
S307, prompting eyes of user protection;
It is determined that when the eyes of user are more tired, reminding user that current eye is more tired by way of prompting Labor is, it is necessary to notice that eyes are rested, specific prompting mode may include:Vibration prompt, voice message, message The prompting modes such as prompting, screen intensity regulation, inform that eyes of user has had red blood silk, it is noted that protected with eye Shield.
S308, screen operation of going out;
Now, when determining that the eyes of user are in very tired, then give serious warning to and point out and carry out standby Or shutdown etc. go out screen operation, it is enforceable so that user cannot be further continued for browsing screen so that the eyes of user Rested.
In this embodiment, it is white of the eye hyperemia degree to judgement provided in an embodiment of the present invention with eye feature parameter The method of user's asthenopia is illustrated, by the system of the white of the eye hyperemia degree in the eye image of collection Evaluation is compared with the standard statistic of white of the eye hyperemia degree, will compare the difference for obtaining again with default difference Whether threshold value relatively determines eyes in fatigue state, and carries out corresponding eye protection operation.
In actual applications, S303 is continued executing with after being pointed out in S307, and according to the figure for collecting again As the white of the eye hyperemia degree of data determines whether current white of the eye hyperemia degree adds once, and whether reach more than or wait In the second difference threshold, when more than or equal to the second difference threshold, S308 is performed.
Example IV
Method to realize above-mentioned judgement user asthenopia, the embodiment of the present invention also provides a kind of protect eyes Device, as shown in figure 5, described device includes:Acquisition module 401, analysis module 402 and matching Module 403, wherein,
Acquisition module 401, for obtaining eye image;
Analysis module 402, for being analyzed to the eye image, to determine the eye image data In eye feature parameter;
Matching module 403, for being matched the eye feature parameter with predetermined threshold value, according to institute State matching result determine user whether asthenopia;
Wherein, acquisition module 401, are additionally operable to, when the bright screen duration of screen is more than default bright screen threshold value, lead to Cross camera and obtain the eye image.
As shown in fig. 6, described device also includes, monitoring module 404 receives default user for working as During operation, the bright screen state for starting monitoring screen obtains the bright screen duration of screen.
As shown in fig. 6, matching module 403 includes:Difference submodule 4031 or statistic submodule 4032, Wherein,
Difference submodule 4031, for by the mark of the statistic of the eye feature parameter and eye feature parameter Quasi- statistic is compared, and draws the statistic difference of eye feature parameter, by the eye feature parameter Statistic difference is compared with the default statistic difference threshold;When the system of the eye feature parameter When metering difference is more than or equal to the first difference threshold, user's asthenopia is determined.Now, acquisition module 401, It is additionally operable to acquisition standard eye image;Analysis module 402, is additionally operable to divide the standard eye image Analysis, determines the standard statistic of the eye feature parameter in the standard eye image.
Statistic submodule 4032, for the statistic of the eye feature parameter is directly default with described Statistic threshold value is compared;When the statistic of the eye feature parameter is more than or equal to the first statistic threshold During value, user's asthenopia is determined.
Difference submodule 4031, is additionally operable to be more than or equal to institute when the statistic difference of the eye feature parameter State the first difference threshold and during less than second difference threshold, pointed out;When the eye feature parameter Statistic difference when being more than or equal to second difference threshold, go out screen treatment.
Statistic submodule 4032, is additionally operable to the statistic when the eye feature parameter more than or equal to described First statistic threshold value and during less than the second statistic threshold value, is pointed out;When eye feature ginseng When several statistics is more than or equal to the second statistic threshold value, screen treatment of going out is carried out.
If integrated module described in the embodiment of the present invention is using realization in the form of software function module and as independently Production marketing or when using, it is also possible to storage is in a computer read/write memory medium.Based on so Understanding, the part that the technical scheme of the embodiment of the present invention substantially contributes to prior art in other words can Embodied with the form of software product, the computer software product is stored in a storage medium, bag Some instructions are included to be used to so that a computer equipment (can be personal computer, server or network Equipment etc.) perform all or part of each embodiment methods described of the invention.And foregoing storage medium bag Include:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited Reservoir (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with storage program generation The medium of code.So, the embodiment of the present invention is not restricted to any specific hardware and software combination.
The above, only presently preferred embodiments of the present invention is not intended to limit protection model of the invention Enclose.

Claims (16)

1. it is a kind of judge user's asthenopia method, it is characterised in that methods described includes:
Obtain eye image;
The eye image is analyzed, to determine the eye feature parameter in the eye image;
The eye feature parameter is matched with predetermined threshold value, is determined that user is according to the matching result No asthenopia.
2. method according to claim 1, it is characterised in that methods described also includes, when screen When bright screen duration is more than default bright screen threshold value, the eye image is obtained by camera.
3. method according to claim 2, it is characterised in that methods described also includes, when receiving When default user operates, the bright screen state for starting monitoring screen obtains the bright screen duration of screen.
4. method according to claim 1, it is characterised in that by the eye feature parameter with it is default Threshold value carries out matching to be included:
The statistic of the eye feature parameter and the standard statistic of eye feature parameter are compared, are obtained Go out the statistic difference of eye feature parameter, the statistic difference of the eye feature parameter is default with described Statistic difference threshold be compared;Or,
The statistic of the eye feature parameter is directly compared with the statistic threshold value.
5. method according to claim 4, it is characterised in that methods described also includes:
Acquisition standard eye image;
The standard eye image is analyzed, the eye feature parameter in the standard eye image is determined Standard statistic.
6. method according to claim 4, it is characterised in that user is determined according to the matching result Whether asthenopia includes:
When the statistic difference of the eye feature parameter is more than or equal to the first difference threshold, user is determined Asthenopia;Or,
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value, user's eyesight is determined Fatigue.
7. method according to claim 6, it is characterised in that methods described also includes:
When the statistic difference of the eye feature parameter is more than or equal to first difference threshold and less than institute When stating the second difference threshold, eyeshield prompting is carried out;
When the statistic difference of the eye feature parameter is more than or equal to second difference threshold, carry out The screen that goes out treatment.
8. method according to claim 6, it is characterised in that methods described also includes:
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value and less than described During the second statistic threshold value, eyeshield prompting is carried out;
When the statistic of the eye feature parameter is more than or equal to the second statistic threshold value, gone out Screen treatment.
9. it is a kind of judge user's asthenopia device, it is characterised in that described device includes:Obtain mould Block, analysis module and matching module, wherein,
The acquisition module, for obtaining eye image;
The analysis module, for being analyzed to the eye image, with determining the eye image Eye feature parameter;
The matching module, for the eye feature parameter to be matched with predetermined threshold value, according to described Matching result determine user whether asthenopia.
10. device according to claim 9, it is characterised in that the acquisition module, is additionally operable to work as When the bright screen duration of screen is more than default bright screen threshold value, the eye image is obtained by camera.
11. devices according to claim 10, it is characterised in that described device also includes, monitor mould Block, for when default user's operation is received, the bright screen state for starting monitoring screen to obtain the bright of screen Screen duration.
12. devices according to claim 9, it is characterised in that the matching module, including:Difference Value submodule or statistic submodule, wherein,
The difference submodule, for by the mark of the statistic of the eye feature parameter and eye feature parameter Quasi- statistic is compared, and draws the statistic difference of eye feature parameter, by the eye feature parameter Statistic difference is compared with the default statistic difference threshold;
The statistic submodule, for the statistic of the eye feature parameter is directly default with described Statistic threshold value is compared.
13. devices according to claim 12, it is characterised in that the acquisition module, are additionally operable to obtain Take standard eye image;
The analysis module, is additionally operable to be analyzed the standard eye image, determines the standard human eye The standard statistic of the eye feature parameter in image.
14. devices according to claim 12, it is characterised in that the difference submodule, are additionally operable to When the statistic difference of the eye feature parameter is more than or equal to the first difference threshold, user's eyesight is determined Fatigue;
The statistic submodule, is additionally operable to be more than or equal to first when the statistic of the eye feature parameter During statistic threshold value, user's asthenopia is determined.
15. devices according to claim 14, it is characterised in that the difference submodule, are additionally operable to:
When the statistic difference of the eye feature parameter is more than or equal to first difference threshold and less than institute When stating the second difference threshold, eyeshield prompting is carried out;
When the statistic difference of the eye feature parameter is more than or equal to second difference threshold, carry out The screen that goes out treatment.
16. devices according to claim 14, it is characterised in that the statistic submodule, also use In:
When the statistic of the eye feature parameter is more than or equal to the first statistic threshold value and less than described During the second statistic threshold value, eyeshield prompting is carried out;
When the statistic of the eye feature parameter is more than or equal to the second statistic threshold value, gone out Screen treatment.
CN201510957110.1A 2015-12-18 2015-12-18 A kind of method and device for judging user's asthenopia Pending CN106897725A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201510957110.1A CN106897725A (en) 2015-12-18 2015-12-18 A kind of method and device for judging user's asthenopia
PCT/CN2016/075876 WO2017101226A1 (en) 2015-12-18 2016-03-08 Method and apparatus for judging user eyesight fatigue

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510957110.1A CN106897725A (en) 2015-12-18 2015-12-18 A kind of method and device for judging user's asthenopia

Publications (1)

Publication Number Publication Date
CN106897725A true CN106897725A (en) 2017-06-27

Family

ID=59055629

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510957110.1A Pending CN106897725A (en) 2015-12-18 2015-12-18 A kind of method and device for judging user's asthenopia

Country Status (2)

Country Link
CN (1) CN106897725A (en)
WO (1) WO2017101226A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107742103A (en) * 2017-10-14 2018-02-27 浙江鑫飞智能工程有限公司 A kind of video frequency monitoring method and system
CN107832202A (en) * 2017-11-06 2018-03-23 郑州云海信息技术有限公司 A kind of method, apparatus and computer-readable recording medium for detecting hard disk
WO2019095155A1 (en) * 2017-11-15 2019-05-23 华为技术有限公司 Fatigue notification method and terminal
CN115132309A (en) * 2022-07-06 2022-09-30 潍坊眼科医院有限责任公司 Method and device for fitting orthokeratology lens

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108596106B (en) 2018-04-26 2023-12-05 京东方科技集团股份有限公司 Visual fatigue recognition method and device based on VR equipment and VR equipment
CN109376595B (en) * 2018-09-14 2023-06-23 杭州宇泛智能科技有限公司 Monocular RGB camera living body detection method and system based on human eye attention
CN110225196B (en) * 2019-05-30 2021-01-26 维沃移动通信有限公司 Terminal control method and terminal equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102028577A (en) * 2010-10-27 2011-04-27 冠捷显示科技(厦门)有限公司 Intelligent eye vision protection system
CN102053566A (en) * 2009-10-30 2011-05-11 鸿富锦精密工业(深圳)有限公司 Health protection method and electronic equipment using same
US20120087571A1 (en) * 2010-10-08 2012-04-12 Electronics And Telecommunications Research Institute Method and apparatus for synchronizing 3-dimensional image
CN103019917A (en) * 2012-12-14 2013-04-03 广东欧珀移动通信有限公司 Method and system for using mobile terminal to monitor eye overuse and mobile terminal
CN103690149A (en) * 2013-12-30 2014-04-02 惠州Tcl移动通信有限公司 Mobile terminal for recognizing physical conditions by facial photographing and implementing method for mobile terminal
CN104766056A (en) * 2015-03-31 2015-07-08 青岛歌尔声学科技有限公司 Human-computer interaction method, device and virtual headset device

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102096810B (en) * 2011-01-26 2017-06-30 北京中星微电子有限公司 The detection method and device of a kind of fatigue state of user before computer
WO2012146823A1 (en) * 2011-04-29 2012-11-01 Nokia Corporation Method, apparatus and computer program product for blink detection in media content
CN102819725A (en) * 2011-06-07 2012-12-12 鸿富锦精密工业(深圳)有限公司 System and method for detecting fatigue state
WO2013078462A1 (en) * 2011-11-22 2013-05-30 Dignity Health System and method for using microsaccade dynamics to measure attentional response to a stimulus
CN103000000B (en) * 2012-11-28 2015-02-11 广东欧珀移动通信有限公司 Method and device for preventing fatigue driving and mobile terminal
CN103426275B (en) * 2013-08-01 2016-01-06 步步高教育电子有限公司 The device of detection eye fatigue, desk lamp and method
CN103544809A (en) * 2013-11-05 2014-01-29 电子科技大学 Method for detecting fatigue state of user
CN105022981B (en) * 2014-04-18 2019-08-16 中兴通讯股份有限公司 A kind of method, device and mobile terminal detecting human eye health state
CN105139584B (en) * 2015-09-30 2017-12-12 宇龙计算机通信科技(深圳)有限公司 A kind of fatigue driving processing method and processing device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102053566A (en) * 2009-10-30 2011-05-11 鸿富锦精密工业(深圳)有限公司 Health protection method and electronic equipment using same
US20120087571A1 (en) * 2010-10-08 2012-04-12 Electronics And Telecommunications Research Institute Method and apparatus for synchronizing 3-dimensional image
CN102028577A (en) * 2010-10-27 2011-04-27 冠捷显示科技(厦门)有限公司 Intelligent eye vision protection system
CN103019917A (en) * 2012-12-14 2013-04-03 广东欧珀移动通信有限公司 Method and system for using mobile terminal to monitor eye overuse and mobile terminal
CN103690149A (en) * 2013-12-30 2014-04-02 惠州Tcl移动通信有限公司 Mobile terminal for recognizing physical conditions by facial photographing and implementing method for mobile terminal
CN104766056A (en) * 2015-03-31 2015-07-08 青岛歌尔声学科技有限公司 Human-computer interaction method, device and virtual headset device

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107742103A (en) * 2017-10-14 2018-02-27 浙江鑫飞智能工程有限公司 A kind of video frequency monitoring method and system
CN107832202A (en) * 2017-11-06 2018-03-23 郑州云海信息技术有限公司 A kind of method, apparatus and computer-readable recording medium for detecting hard disk
WO2019095155A1 (en) * 2017-11-15 2019-05-23 华为技术有限公司 Fatigue notification method and terminal
CN111357006A (en) * 2017-11-15 2020-06-30 华为技术有限公司 Fatigue prompting method and terminal
CN115132309A (en) * 2022-07-06 2022-09-30 潍坊眼科医院有限责任公司 Method and device for fitting orthokeratology lens

Also Published As

Publication number Publication date
WO2017101226A1 (en) 2017-06-22

Similar Documents

Publication Publication Date Title
CN106897725A (en) A kind of method and device for judging user's asthenopia
WO2015158087A1 (en) Method and apparatus for detecting health status of human eyes and mobile terminal
JP5210773B2 (en) Sleepiness determination apparatus and program
CN104360735B (en) A kind of interface display method
JP6387892B2 (en) Sleepiness detection device
CN102610184B (en) Method and device for adjusting display state
CN105184246A (en) Living body detection method and living body detection system
CN107783643A (en) A kind of method and device for protecting user's eyesight
CN103294910A (en) Eye protection method for users in front of video display terminal
CN106445092A (en) Vision protection processing method and apparatus for terminal
CN111699698A (en) Eye fatigue relieving method and intelligent terminal
CN104077122A (en) Computer system for automatically detecting fatigue and method for automatically detecting fatigue
CN103093124A (en) Method for restricting the usage of electronic equipment and electronic equipment
CN104407768B (en) A kind of terminal
CN104834896A (en) Method and terminal for information acquisition
US20110161047A1 (en) Information processing device, information processing method, and program
CN103761516A (en) ATM abnormal human face detection method based on video monitoring
JP5653404B2 (en) Dozing alert device
CN105975900A (en) Learning scene classification recording method and recording device
CN205352466U (en) Wearable ambient temperature temperature spectral measurement and motion detecting device
CN109044375A (en) Control system and method for tracking and detecting eyeball fatigue degree in real time
CN106485117A (en) A kind of intelligent terminal method of controlling operation thereof based on recognition of face and system
CN103544809A (en) Method for detecting fatigue state of user
US20170147871A1 (en) Fatigue-warning system
CN106339592A (en) Terminal and health management method thereof

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20170627

WD01 Invention patent application deemed withdrawn after publication