WO2017101226A1 - 一种判断用户视力疲劳的方法及装置 - Google Patents

一种判断用户视力疲劳的方法及装置 Download PDF

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Publication number
WO2017101226A1
WO2017101226A1 PCT/CN2016/075876 CN2016075876W WO2017101226A1 WO 2017101226 A1 WO2017101226 A1 WO 2017101226A1 CN 2016075876 W CN2016075876 W CN 2016075876W WO 2017101226 A1 WO2017101226 A1 WO 2017101226A1
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Prior art keywords
statistic
eye
threshold
feature parameter
user
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PCT/CN2016/075876
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English (en)
French (fr)
Inventor
杨璞
王秀梅
杜霁轩
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中兴通讯股份有限公司
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Publication of WO2017101226A1 publication Critical patent/WO2017101226A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation 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
    • G06V10/758—Involving statistics of pixels or of feature values, e.g. histogram matching
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons

Definitions

  • the present invention relates to the field of communications, and in particular, to a method and apparatus for determining visual fatigue of a user.
  • the distance acquisition module is used to sense the distance of the eye from the display every time the display screen is illuminated; specifically: first, using the face recognition module to obtain the position of the eye; Then, the distance sensor is used to sense the distance of the eye from the display screen; or the distance acquisition module includes a signal transmitter, a signal receiver, a distance sensor, a signal transmitter is disposed at a position of the user's eyes, and a signal receiver is disposed at the display screen.
  • step S2 Receiving a signal sent by the signal transmitter through the signal receiver, thereby acquiring the position of the eye, and then using the distance sensor to obtain the distance of the eye from the display screen; step S2, determining whether the distance information sensed by the distance sensor reaches the set value, if the setting is reached The fixed value will send an alarm message.
  • This method of judging the user's visual fatigue requires additional distance sensors on the terminal, and this distance sensor is different from the ordinary proximity sensor.
  • the ordinary proximity sensor can only sense the distance of 3 to 6 cm, which cannot meet the patent for eye protection. The need, especially the need for special distance sensors, further increases the hardware cost, and once the distance threshold is exceeded, it will be frequently reminded, resulting in poor user experience.
  • the embodiments of the present invention are intended to provide a method and apparatus for determining visual fatigue of a user, and at least solve the problems existing in the prior art by using an electronic device that does not add special hardware. Eye protection.
  • a method for determining visual fatigue of a user comprising:
  • the eye feature parameter is matched with a preset threshold, and the user is determined whether the eyesight is fatigued according to the matching result.
  • the method further includes: acquiring, by the camera, the human eye image when a brightness period of the screen is greater than a preset brightness threshold.
  • the method further includes, when receiving a preset user operation, starting to monitor a bright screen state of the screen to obtain a screen duration of the screen.
  • matching the eye feature parameter with a preset threshold includes:
  • the statistic of the eye feature parameter is directly compared to the statistic threshold.
  • the method further includes:
  • the standard human eye image is analyzed to determine a standard statistic of eye feature parameters in the standard human eye image.
  • determining whether the user has visual fatigue according to the matching result includes:
  • the user's visual fatigue is determined.
  • the method further includes:
  • the screen blanking process is performed.
  • the method further includes:
  • the screen blanking process is performed.
  • the apparatus includes: an acquisition module, an analysis module, and a matching module, where
  • the acquiring module is configured to acquire an image of a human eye
  • the analyzing module is configured to analyze the human eye image to determine an eye feature parameter in the human eye image
  • the matching module is configured to match the eye feature parameter with a preset threshold, and determine whether the user is visually fatigued according to the matching result.
  • the acquiring module is further configured to acquire the human eye image by the camera when the brightness of the screen is greater than the preset brightness threshold.
  • the device further includes: a monitoring module configured to start monitoring the bright state of the screen to obtain a bright screen duration of the screen when receiving a preset user operation.
  • the matching module includes: a difference submodule or a statistical quantum module, where
  • the difference sub-module is configured to compare the statistics of the eye feature parameters with a standard statistic of the eye feature parameters to obtain a statistical difference value of the eye feature parameters, and the eye The statistical difference value of the feature parameter is compared with the preset statistic difference threshold;
  • the statistical quantum module is configured to directly compare a statistic of the eye feature parameter with the preset statistic threshold.
  • the acquiring module is further configured to acquire a standard human eye image
  • the analysis module is further configured to analyze the standard human eye image to determine a standard statistic of an eye feature parameter in the standard human eye image.
  • the difference sub-module is further configured to determine visual fatigue of the user when the statistical difference value of the eye feature parameter is greater than or equal to the first difference threshold;
  • the statistical quantum module is further configured to determine visual fatigue of the user when a statistic of the eye feature parameter is greater than or equal to a first statistic threshold.
  • the difference submodule is further configured as:
  • the screen blanking process is performed.
  • the statistical quantum module is further configured to:
  • the screen blanking process is performed.
  • the obtaining module, the analyzing module, the matching module, the monitoring module, the difference sub-module, and the statistical quantum module may use a central processing unit (CPU) when performing processing.
  • CPU central processing unit
  • DSP Digital Singnal Processor
  • FPGA Field-Programmable Gate Array
  • a method for determining visual fatigue of a user acquiring an image of a human eye;
  • the human eye image is analyzed to determine an eye feature parameter in the human eye image;
  • the eye feature parameter is matched with a preset threshold, and the user is determined whether the user is visually fatigued based on the matching result.
  • the terminal acquires an image of the human eye, analyzes the collected human eye image, and matches the preset threshold, and determines whether the user's eyes are based on the matching result. Fatigue, so directly through the camera to judge whether the eyes are tired, eye protection reminder or off screen processing, protect the user's eyes and improve the user's user experience.
  • FIG. 1 is a schematic flowchart of a method for determining visual fatigue of a user according to Embodiment 1 of the present invention
  • Figure 2 is a comparison of a good-looking eye with a more tired eye
  • FIG. 3 is a schematic flowchart diagram of a method for determining visual fatigue of a user according to Embodiment 2 of the present invention.
  • FIG. 4 is a schematic flowchart of a method for determining visual fatigue of a user according to Embodiment 3 of the present invention.
  • FIG. 5 is a schematic structural diagram of an apparatus for determining visual fatigue of a user according to Embodiment 4 of the present invention.
  • FIG. 6 is a schematic structural diagram of another apparatus for determining visual fatigue of a user according to Embodiment 4 of the present invention.
  • Embodiment 1 of the present invention provides a method for determining visual fatigue of a user. As shown in FIG. 1 , the method for determining visual fatigue of a user includes:
  • the terminal collects image data through the camera, thereby acquiring the human eye image of the current user through the camera.
  • the duration of the bright screen of the screen may be recorded, and when the duration of the bright screen of the screen is greater than the preset threshold of the bright screen, the image of the human eye is acquired by the camera.
  • the camera collects the image data, extracts the human eye image in the collected image data, analyzes the extracted human eye image, and avoids the camera of the terminal. In working state, reduce the power consumption of the terminal. For example, if the preset brightness threshold is set to 20 minutes, when the screen brightness time is greater than 20 minutes, the user can be considered to be in a state of consistently watching the screen, and the time for viewing the screen is long. At this time, the user is acquired through the camera. The human eye image is analyzed for the collected human eye image.
  • the eye protection mode When the preset user operation is received, the eye protection mode is entered, the screen brightness state of the screen is started to obtain the screen brightness time, and the obtained brightness time duration is compared with the preset brightness screen threshold.
  • the terminal enters the eye protection mode according to a preset user operation, and the preset user operation may be various preset operations such as a preset gesture operation, a preset voice instruction, a preset key instruction, and the like. No restrictions.
  • the obtained human eye image is analyzed, and the eye color parameter such as the white blood congestion degree or the eye white ratio in the human eye image is detected by eye pattern recognition or image recognition, wherein the white color congestion is the red pigment of the white part of the eye.
  • the proportion of whites in the eye is the proportion of white pigment in the eye.
  • the blank part of the eye in the figure is the white of the eye
  • the part of the shadow is the part of the red blood
  • the whiteness of the eye is determined according to the shadow part
  • the picture is the eye in the fatigue state.
  • the white part of the eye has a shaded part
  • the picture b is in a good state. Eyes, white parts of the eyes may not have red blood, and therefore, have no shadows.
  • S103 Match the eye feature parameter with a preset threshold, and determine whether the user is visual fatigue according to the matching result.
  • matching the eye feature parameter with a preset threshold includes the following two methods:
  • Method 1 comparing the statistic of the eye feature parameter with a standard statistic of the eye feature parameter, and obtaining a statistic difference value of the eye feature parameter, and comparing the statistic difference value of the eye feature parameter with the preset
  • the statistic difference threshold is compared; in the second mode, the statistic of the eye feature parameter is directly compared with the preset statistic threshold.
  • the eye feature parameter statistic difference threshold may include a first difference threshold and a second difference threshold greater than the first difference threshold; when the statistic difference of the eye feature parameter is greater than or equal to When the first difference threshold is less than the second difference threshold, the eye-protection prompt is performed; the prompt may be prompted by vibration, sound, screen flicker, etc., prompting the user that the current eye is fatigued; when the eye characteristic parameter is counted When the amount difference is greater than or equal to the second difference threshold, the screen is cleared, and the screen is turned off by standby or shutdown, forcing the user to continue to watch the screen, so that the eyes are rested.
  • the user's current eye fatigue degree is divided into different levels according to the difference of the statistical difference threshold of the eye feature parameter. Thereby performing different eye protection operations.
  • the standard statistic is obtained from the captured healthy human eye image, specifically, the standard human eye image is acquired; the standard human eye image is analyzed to determine a standard statistic of the eye feature parameter in the standard human eye image.
  • the standard statistic of the eye characteristic parameters is the statistics of the eye characteristic parameters of the healthy eye.
  • the size of the statistic value can be set by default in the terminal, or can be obtained by the camera collecting an image of a healthy eye, that is, a standard human eye image, which is not limited.
  • the statistic of the eye feature parameter is directly compared with the preset statistic threshold; when the statistic of the eye feature parameter is greater than or equal to the first statistic threshold, the user's visual fatigue is determined.
  • the statistic threshold may include a first statistic threshold and a second statistic threshold, when the statistic of the eye feature parameter is greater than or equal to the first statistic threshold and less than the second statistic
  • the threshold value When the threshold value is reached, enter the eye-protection prompt mode and prompt, and the prompt may be prompted by vibration, sound, screen flicker, adjusting screen brightness, etc., prompting the user that the current eye is fatigued; when the statistical value of the eye characteristic parameter is greater than or equal to
  • the second statistic threshold is described, the screen is cleared, and the screen can be disabled such as standby or shutdown, forcing the user to continue to watch the screen, so that the eyes can rest.
  • the statistic threshold is respectively divided into a first statistic threshold and a second statistic threshold
  • the difference threshold is divided into a first difference threshold and a second difference threshold.
  • the corresponding statistic threshold and the difference threshold may be one or more than the statistic or statistic difference.
  • the alarm is directly performed.
  • the statistic threshold and the difference threshold are In a plurality of cases, the statistic threshold is divided into more levels, and the difference threshold is divided into more levels, so that the operation of protecting the eyes with a more precise level is performed, which is described by two in the embodiment of the present invention.
  • the terminal collects the used image data through the camera, matches the eye feature parameters in the collected image data with a preset threshold, and determines whether the user's eyes are in visual fatigue according to the matching result. State, and when determining the fatigue state of the example, enter the eye-protection mode or the screen-off state according to the fatigue state to perform the eye protection operation, thereby realizing the judgment of the user's visual fatigue through the ordinary terminal without adding any hardware cost. , further pass ratio to different statistic thresholds or difference thresholds The prompting or the screen-off operation is performed after the different matching results are performed, and the eye protection is performed. After the user prompts the user to continue watching the screen and the eye fatigue degree increases, the screen is cleared to improve the user experience of the terminal.
  • the second embodiment provides a method for determining visual fatigue of a user, as shown in FIG. 3, including:
  • the terminal When the terminal receives the preset user operation, when the eye protection mode is turned on, the terminal starts a timer, monitors the brightness time of the screen, and compares the detected brightness duration with the preset brightness threshold, when the brightness time is long. After the threshold is less than the brightness threshold, the S201 monitors the duration of the bright screen; when the duration of the bright screen is greater than the brightness threshold, S202 is performed.
  • the eye protection mode of the terminal may be triggered according to a preset operation of the user, for example, by voice, a button, or the like. For example, when the terminal receives the user's voice information "turn on eye protection", the terminal enters the eye protection mode.
  • the human eye image is collected by the camera.
  • the front camera of the startup terminal collects the face image data of the user currently viewing the screen, and analyzes the front camera.
  • the collected face image data is segmented according to the facial feature extraction principle, and the eye image is extracted to obtain a human eye image.
  • the image recognition method is used to detect the whitening degree of the eye of the human eye image; specifically, the method of image segmentation is used to extract the white part of the eye, calculate the histogram of the color distribution, and calculate the proportion of the red pigment, and obtain the statistics of the white blood congestion degree. .
  • the statistic of the whitening degree of the eye is compared with the first statistic threshold and the second statistic threshold.
  • the process proceeds to S202, and the recollection is performed.
  • the current image data where the human eye image can be periodically collected in a certain collection period;
  • the second case when the statistic of the whitening degree is greater than or equal to the first statistic threshold and less than the second statistic threshold, the execution is performed.
  • S205 In the third case, when the statistic of the whitening degree is greater than or equal to the second statistic threshold, executing S206;
  • the first statistic threshold is 10%
  • the second statistic threshold is 15%.
  • the leukocytosis statistic is 5%
  • the process proceeds to S202, and the user's image data is continuously collected.
  • the statistic of the white blood congestion is 13%, it indicates that the user's eye state is relatively tired at this time, and enters S205; when the statistic of the white blood congestion degree is 17%, it indicates that the user's eye state is very tired at this time, and proceeds to S206.
  • the specific prompting methods may include: vibration prompt, voice prompt, message prompt, screen brightness adjustment Wait for the way to inform the user that the eyes have red blood, please pay attention to eye protection.
  • a severe warning prompt is given and a screen-off operation such as standby or shutdown is performed, which obliges the user to continue browsing the screen, so that the user's eyes are rested.
  • the method for determining the visual fatigue of the user provided by the embodiment of the present invention is exemplified by using the eye characteristic parameter as the whitening degree of the eye, and the statistical value of the whitening degree of the eye in the collected image is directly compared with the preset statistical threshold. A comparison is made to determine if the eye is in a state of fatigue and a corresponding eye protection operation is performed.
  • the whitening degree of the eye of the human eye image determines whether the current whitening degree of the eye is added, and whether it reaches a second statistic threshold or greater, and when it is greater than or equal to the second statistic threshold, S206 is performed.
  • the third embodiment provides a method for determining visual fatigue of a user, in which the statistic of the whitening degree of the eye in the eye at the time when the user starts to look at the screen is the standard statistic of the eye characteristic parameter, and the judgment provided by the embodiment of the present invention is provided.
  • the method of visual fatigue of the user is explained, as shown in FIG. 4, including:
  • the terminal collects the human eye image when the user starts to look at the screen through the camera, and uses the human eye image at this time as the standard human eye image, and the human eye image functions as a health specimen.
  • the user has not seen the screen for a long time, and the state of the eye is relatively good, and the statistic of the whitening degree of the eye in the human eye image at this time is taken as the standard statistic.
  • the eye protection mode of the terminal may be triggered according to a preset operation of the user, for example, by voice, a button, or the like. For example, when the terminal receives the user's voice information "turn on eye protection", the terminal enters the eye protection mode.
  • the terminal When the eye protection mode of the terminal is turned on, the terminal starts a timer, monitors the brightness of the screen, and compares the detected brightness duration with the preset brightness threshold. When the brightness of the screen is less than the brightness threshold, the terminal continues to execute. S201 monitors the bright screen time; when the bright screen duration is greater than the bright screen threshold, S303 is performed.
  • the human eye image is collected by the camera.
  • the front camera of the startup terminal collects the face image data of the user who currently views the screen.
  • the face image acquired by the front camera is analyzed, and the eye image is segmented to obtain a human eye image according to the facial feature extraction principle.
  • the image recognition method is used to detect the whiteness of the eye white; specifically, the image segmentation method is used to extract the white part of the eye, calculate the histogram of the color distribution, and calculate the proportion of the red pigment, and obtain the statistics of the white blood congestion degree.
  • the statistical difference of whitening degree is 3%; when the standard statistic of whitening is 2%, S305 In the case of 10% congestion statistic, the statistic difference of ocular whiteness is 8%; when the standard statistic of ocular whitening is 2%, and the ocular whiteness statistic in S305 is 15%, whitening The statistical difference in congestion is 13%.
  • the difference statistic threshold is compared;
  • the statistical difference value of the white blood congestion degree is compared with the first difference threshold value and the second difference threshold value respectively, and the comparison result includes the following three cases.
  • the first case when the statistical difference of the white blood congestion degree is smaller than When the first difference threshold is reached, the process proceeds to S303, and the current image data is re-acquired.
  • the image data may be periodically collected in a certain collection period; in the second case, when the statistical difference of the whitening degree of the eye is greater than or equal to the first difference When the value threshold is less than the second difference threshold, S307 is performed; in the third case, when the statistic difference of the whitening degree is greater than or equal to the second difference threshold, S308 is performed;
  • the first difference threshold is 5%
  • the second difference threshold is 10%.
  • the leukocytosis statistic is 3%
  • the process proceeds to S303, and the user's image data is continuously collected.
  • the statistic of whitening degree of eye white is 8%
  • the statistic of whitening degree of eye white is relatively tired at this time, and enters S307
  • the statistic of whitening degree of eye white is 13%, it indicates that the user's eye state at this time Very tired, enter S308.
  • the specific prompting manners may include: a vibrating prompt, a voice prompt, a message prompt, a screen brightness adjustment, etc., to inform the user. Eyes are already red, please pay attention to eye protection.
  • a severe warning prompt is given and a screen-off operation such as standby or shutdown is performed, which obliges the user to continue browsing the screen, so that the user's eyes are rested.
  • the method for determining the visual fatigue of the user provided by the embodiment of the present invention is exemplified by the eye characteristic parameter as the whitening degree of the eye, and the statistical value of the white blood congestion degree and the standard of the white blood congestion degree in the human eye image collected are illustrated.
  • the statistics are compared, and the compared difference is compared with a preset difference threshold to determine whether the eye is in a fatigue state, and a corresponding eye protection operation is performed.
  • the process proceeds to S303, and according to the eye whiteness of the re-acquired image data, whether the current eye whiteness is added, and whether the second difference threshold is greater than or equal to the threshold value is determined.
  • S308 is performed.
  • the embodiment of the present invention further provides a device for protecting the eye.
  • the device includes: an obtaining module 401, an analyzing module 402, and a matching module 403, where
  • the obtaining module 401 is configured to acquire an image of a human eye
  • the analyzing module 402 is configured to analyze the human eye image to determine an eye feature parameter in the human eye image data
  • the matching module 403 is configured to match the eye feature parameter with a preset threshold, and determine whether the user is visually fatigued according to the matching result;
  • the obtaining module 401 is further configured to acquire the human eye image through the camera when the brightness duration of the screen is greater than the preset brightness threshold.
  • the apparatus further includes a monitoring module 404 configured to start monitoring a bright screen state of the screen to obtain a screen duration of the screen when a preset user operation is received.
  • a monitoring module 404 configured to start monitoring a bright screen state of the screen to obtain a screen duration of the screen when a preset user operation is received.
  • the matching module 403 includes: a difference submodule 4031 or a statistical quantum module 4032, where
  • the difference sub-module 4031 is configured to compare the statistic of the eye feature parameter with a standard statistic of the eye feature parameter to obtain a statistic difference value of the eye feature parameter, and the statistic difference value of the eye feature parameter Comparing with the preset statistic difference threshold; determining the user's visual fatigue when the statistic difference of the eye feature parameter is greater than or equal to the first difference threshold.
  • the obtaining module 401 is further configured to acquire a standard human eye image;
  • the analyzing module 402 is further configured to analyze the standard human eye image to determine a standard statistic of the eye feature parameter in the standard human eye image.
  • the statistical quantum module 4032 is configured to compare the statistic of the eye feature parameter directly with the preset statistic threshold; when the statistic of the eye feature parameter is greater than or equal to the first statistic threshold, determine the user Vision fatigue.
  • the difference sub-module 4031 is further configured to: when the statistical difference value of the eye feature parameter is greater than or equal to the first difference threshold and less than the second difference threshold, prompting; when the eye feature parameter When the statistic difference is greater than or equal to the second difference threshold, the screen blanking process is performed.
  • the statistical quantum module 4032 is further configured to: when the statistic of the eye feature parameter is greater than or equal to the first statistic threshold and less than the second statistic threshold, perform a prompt; when the statistic of the eye feature parameter When the second statistic threshold is greater than or equal to, the screen blanking process is performed.
  • the integrated module described in the embodiment of the present invention is implemented in the form of a software function module and Separate products can also be stored on a computer readable storage medium when sold or used.
  • the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product stored in a storage medium, including a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
  • embodiments of the invention are not limited to any specific combination of hardware and software.
  • a method for determining visual fatigue of a user acquiring an image of a human eye; analyzing the image of the human eye to determine an eye characteristic parameter in the image of the human eye; and setting the characteristic parameter of the eye with a preset The threshold is matched, and whether the user is visually fatigued is determined according to the matching result.
  • the terminal acquires an image of the human eye, analyzes the collected human eye image, and matches the preset threshold, and determines whether the user's eyes are based on the matching result. Fatigue, so directly through the camera to judge whether the eyes are tired, eye protection reminder or off screen processing, protect the user's eyes and improve the user's user experience.

Abstract

一种判断用户视力疲劳的方法，所述方法包括：获取人眼图像（S101）；对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数(S102)；将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳(S103)。还提供一种判断用户视力疲劳的装置。

Description

一种判断用户视力疲劳的方法及装置 技术领域
本发明涉及通信领域，尤其涉及一种判断用户视力疲劳的方法及装置。
背景技术
现有的使用终端时判断用户视力疲劳的方法，利用距离获取模块在显示屏亮时，每间隔设定时间感应眼睛距离显示器的距离；具体包括：首先，利用人脸识别模块获取眼睛的位置；而后，利用距离传感器感应眼睛距离显示屏的距离；或者，所述距离获取模块包括信号发送器、信号接收器、距离传感器，用户眼睛的位置设有信号发送器，显示屏处设有信号接收器，通过信号接收器接收信号发送器发送的信号，从而获取眼睛的位置，进而利用距离传感器获取眼睛距离显示屏的距离；步骤S2、判断距离传感器感应的距离信息是否到达设定值，如果达到设定值则发出报警信息。这种判断用户视力疲劳的方法需要在终端上额外添加距离传感器，并且这种距离传感器不同于普通的近距离传感器，普通的近距离传感器只能感应3到6厘米的距离，不能满足护眼专利中的需要，因此需要特殊的距离传感器，进一步造成硬件成本的增加，并且一旦超过距离阈值，会频繁提醒，造成用户体验不好。
可见，现有的判断用户视力疲劳的方法不仅硬件成本高，而且用户体验不好，亟需一种不需要增加硬件成本的判断用户视力疲劳的方法。
发明内容
有鉴于此，本发明实施例希望提供一种判断用户视力疲劳的方法及装置，至少解决了现有技术存在的问题，通过不增加特殊硬件的电子设备进 行眼睛保护。
本发明实施例的技术方案是这样实现的：
本发明实施例的一种判断用户视力疲劳的方法，所述方法包括：
获取人眼图像；
对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；
将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。
上述方案中，所述方法还包括，当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取所述人眼图像。
上述方案中，所述方法还包括，当接收到预设的用户操作时，开始监控屏幕的亮屏状态得到屏幕的亮屏时长。
上述方案中，将所述眼睛特征参数与预设阈值进行匹配包括：
将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛特征参数的统计量差值与所述预设的统计量差值阈值进行比较；或，
将所述眼睛特征参数的统计量直接与所述统计量阈值进行比较。
上述方案中，所述方法还包括：
获取标准人眼图像；
对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
上述方案中，根据所述匹配结果确定用户是否视力疲劳包括：
当所述眼睛特征参数的统计量差值大于或等于第一差值阈值时，确定用户视力疲劳；或，
所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户视力疲劳。
上述方案中，所述方法还包括：
当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行护眼提示；
当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理。
上述方案中，所述方法还包括：
当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进行护眼提示；
当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理。
本发明实施例的一种判断用户视力疲劳的装置，所述装置包括：获取模块，分析模块以及匹配模块，其中，
所述获取模块，配置为获取人眼图像；
所述分析模块，配置为对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；
所述匹配模块，配置为将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。
上述方案中，所述获取模块，还配置为当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取所述人眼图像。
上述方案中，所述装置还包括，监控模块，配置为当接收到预设的用户操作时，开始监控屏幕的亮屏状态得到屏幕的亮屏时长。
上述方案中，所述匹配模块，包括：差值子模块或统计量子模块，其中，
所述差值子模块，配置为将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛 特征参数的统计量差值与所述预设的统计量差值阈值进行比较；
所述统计量子模块，配置为将所述眼睛特征参数的统计量直接与所述预设的统计量阈值进行比较。
上述方案中，所述获取模块，还配置为获取标准人眼图像；
所述分析模块，还配置为对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
上述方案中，所述差值子模块，还配置为当所述眼睛特征参数的统计量差值大于或等于第一差值阈值时，确定用户视力疲劳；
所述统计量子模块，还配置为当所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户视力疲劳。
上述方案中，所述差值子模块，还配置为：
当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行护眼提示；
当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理。
上述方案中，所述统计量子模块，还配置为：
当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进行护眼提示；
当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理。
所述获取模块，所述分析模块、所述匹配模块、所述监控模块、所述差值子模块、所述统计量子模块在执行处理时，可以采用中央处理器(CPU，Central Processing Unit)、数字信号处理器(DSP，Digital Singnal Processor)或可编程逻辑阵列(FPGA，Field－Programmable Gate Array)实现。
本发明实施例的一种判断用户视力疲劳的方法，获取人眼图像；对所 述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。采用本发明实施例，当用户使用没有增减特殊硬件的终端时，终端将获取人眼图像，对采集到的人眼图像进行分析后与预设阈值进行匹配后，根据匹配结果判断用户眼睛是否疲劳，从而直接通过摄像头进行眼睛是否疲劳的判断，进行护眼提醒或关屏处理，保护使用者眼睛，提高使用者的用户体验。
附图说明
图1为本发明实施例一提供的判断用户视力疲劳的方法的流程示意图；
图2为状态好的眼睛与比较疲劳的眼睛的对比；
图3为本发明实施例二提供的一种判断用户视力疲劳的方法的流程示意图；
图4为本发明实施例三提供的一种判断用户视力疲劳的方法的流程示意图；
图5为本发明实施例四提供的一种判断用户视力疲劳的装置的结构示意图；
图6为本发明实施例四提供的另一种判断用户视力疲劳的装置的结构示意图。
具体实施方式
下面结合附图对技术方案的实施作进一步的详细描述。
实施例一
本发明实施例一提供一种判断用户视力疲劳的方法，如图1所示，该判断用户视力疲劳的方法包括：
S101、获取人眼图像；
在本实施例中，当用户在使用终端时进行阅读、浏览网页等操作时，终端通过摄像头采集图像数据，从而通过摄像头获取当前用户的人眼图像。
在获取人眼图像之前，可记录屏幕的亮屏时长，当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取人眼图像。当屏幕处于亮屏状态时的亮屏时间到达一定的时间阈值时，摄像头采集图像数据，将采集的图像数据中的人眼图像提取出来，对提取的人眼图像进行分析，避免终端的摄像头一直处于工作状态，减小终端的功耗。比如，将预设亮屏阈值设置为20分钟，当屏幕亮屏时间大于20分钟时，则可认为该用户处于一致观看屏幕的状态，且观看屏幕的时间较长，此时，通过摄像头获取用户的人眼图像，对采集的人眼图像进行分析。
当接收到预设的用户操作时，进入护眼模式，开始监控屏幕的亮屏状态得到屏幕的亮屏时长，将得到的亮屏时长与预设亮屏阈值进行比较。终端根据预设的用户操作进入护眼模式，该预设的用户操作可为预设的手势操作、预设的语音指令、预设的按键指令等各种形式的预设操作，本发明对此不做限制。
S102、对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；
对获取的人眼图像进行分析，通过眼纹识别或图像识别检测人眼图像中的眼白充血度或眼白占比等眼睛特征参数的统计量，其中，眼白充血度为眼白部分的红色素的占比，眼白占比为眼部部分的白色素的占比。当使用者长期观看显示屏而眼睛劳累时，其眼睛中眼白部分的红血丝增加，从而将导致眼白部分的红色素的占比增加，此时，摄像头采集到的图像数据中人眼图像数据的眼白充血度变大或眼白占比变小，如图2所示，图中眼睛的空白部分为眼白，阴影部分为红血丝部分，根据阴影部分确定眼白充血度，a图为处于疲劳状态的眼睛，眼白部分具有阴影部分，b图为状态好 眼睛，眼白部分可能不存在红血丝，因而，不具有阴影部分。
S103：将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。
这里，将所述眼睛特征参数与预设阈值进行匹配包括以下两种方式：
方式1，将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛特征参数的统计量差值与所述预设的统计量差值阈值进行比较；方式2，将所述眼睛特征参数的统计量直接与所述预设的统计量阈值进行比较。
对于方式1，得出眼睛特征参数的统计量差值后，将得到的眼睛特征参数的统计量差值与第一差值阈值比较，当眼睛特征参数的统计量差值大于或第一差值阈值时，确定用户视力疲劳。
在本实施例中，眼睛特征参数统计量差值阈值可包括第一差值阈值和大于第一差值阈值的第二差值阈值；当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行护眼提示；可通过振动、声音、屏幕闪烁等方式进行提示，提示用户当前眼睛比较疲劳；当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理，可进行待机或关机等灭屏处理，强制用户无法继续观看屏幕，使得眼睛得到休息。通过第一差值阈值和第二差值阈值与眼睛特征参数的统计量差值的比较，根据眼睛特征参数的统计量差值阈值的不同，将用户当前眼睛的疲劳程度分为不同的等级，从而进行不同的保护眼睛的操作。
其中，标准统计量可由拍摄的健康人眼图像获得，具体的，获取标准人眼图像；对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
这里，眼睛特征参数的标准统计量为健康眼睛的眼睛特征参数的统计 值，该统计值的大小可在终端中默认设置，也可由摄像头采集一张健康眼睛的图像即标准人眼图像进行分析而得到，具体的不进行限制。
对于方式2，将所述眼睛特征参数的统计量直接与所述预设的统计量阈值进行比较；当所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户视力疲劳。
在本发明实施例中，统计量阈值可包括第一统计量阈值和第二统计量阈，当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进入护眼提示模式，进行提示，可通过振动、声音、屏幕闪烁、调节屏幕亮度等方式进行提示，提示用户当前眼睛比较疲劳；当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理，可进行待机或关机等灭屏处理，强制用户无法继续观看屏幕，使得眼睛得到休息。
在本实施例中，分别将统计量阈值分为第一统计量阈值、第二统计量阈值，将差值阈值分为第一差值阈值、第二差值阈值两个疲劳等级，在实际应用中，与统计量或统计量差值进行比较的对应的统计量阈值、差值阈值可为一个，也可为多个；当为一个时，直接进行提醒，当统计量阈值、差值阈值为多个时，将统计量阈值分为更多个等级、差值阈值划分为更多个等级，从而进行等级更精确的保护眼睛的操作，在本发明实施例中以两个进行说明。
通过本发明实施例提供的判断用户视力疲劳的方法，终端通过摄像头采集使用的图像数据，将采集的图像数据中的眼睛特征参数与预设阈值进行匹配，根据匹配结果决策用户眼睛是否处于视力疲劳状态，并在确定示例疲劳状态时，根据疲劳状态的不同进入护眼提示模式或灭屏状态以进行眼睛保护操作，从而在不增加任何硬件成本的基础上，通过普通终端实现用户视力疲劳的判断，进一步的通过与不同的统计量阈值或差值阈值的比 较之后的不同的匹配结果进行提示或灭屏操作，进行眼睛保护，在对用户提示后，用户继续观看屏幕且眼睛疲劳程度增加时进行灭屏处理，提高该终端的用户体验。
实施例二
实施例二提供了一种判断用户视力疲劳的方法，如图3所示，包括：
S201、监测亮屏时长；
当该终端接收到预设的用户操作时，护眼模式打开时，终端启动定时器，监测屏幕的亮屏时长，将检测的亮屏时长与预设的亮屏阈值进行比较，当亮屏时长小于亮屏阈值后，继续执行S201监测亮屏时长；当亮屏时长大于亮屏阈值时，执行S202。
其中，终端的护眼模式可根据用户预设的操作来触发，比如：通过语音、按键等方式触发。例如，当终端接收到用户的语音信息“开启护眼”时，进入护眼模式。
S202、采集人眼图像；
当终端的亮屏时间长大于亮屏阈值时，通过摄像头采集人眼图像，这里，为了采集人眼图像，启动终端的前置摄像头采集当前观看屏幕的使用者的人脸图像数据，分析前摄像头采集的人脸图像数据，根据脸部特征提取原则，将眼部图像分割出来得到人眼图像提取出人眼图像。
S203、对采集的人眼图像进行分析确定所述人眼图像中的眼白充血度的统计量；
然后采用图像识别方法，检测人眼图像的眼白充血度；具体的，采用图像分割的方法，将眼白部分提取，计算颜色分布直方图，统计其中红色素的占比，得到眼白充血度的统计量。
S204、分别将眼白充血度的统计量与第一统计量阈值、第二统计量阈值进行比较；
这里，将眼白充血度的统计量分别与第一统计量阈值、第二统计量阈值进行比较，第一种情况，当眼白充血度的统计量小于第一统计量阈值时，进入S202，重新采集当前图像数据，这里，可以一定的采集周期周期性的采集人眼图像；第二种情况，当眼白充血度的统计量大于或等于第一统计量阈值，且小于第二统计量阈值时，执行S205；第三种情况，当眼白充血度的统计量大于或等于第二统计量阈值时，执行S206；
比如，第一统计量阈值为10％，第二统计量阈值为15％，当眼白充血度的统计量为5％时，表明用户此时眼睛状态比较好，进入S202，继续采集用户的图像数据；当眼白充血度的统计量为13％时，表明用户此时眼睛状态比较疲劳，进入S205；当眼白充血度的统计量为17％时，表明用户此时眼睛状态非常疲劳，进入S206。
S205、提示用户眼睛保护；
确定当用户的眼睛比较疲劳时，进入护眼提示模式，通过提示的方式提醒用户当前眼睛比较疲劳，需要注意眼睛休息，具体的提示方式可包括：振动提示、语音提示、消息提示，屏幕亮度调节等提示方式，告知用户眼睛已经有红血丝，请注意用眼保护。
S206、灭屏操作；
此时，确定用户的眼睛处于非常疲劳时，则给予严重警告提示并进行待机或关机等灭屏操作，强制性的使得用户无法再继续浏览屏幕，使得用户的眼睛得到休息。
在该实施例中，以眼睛特征参数为眼白充血度对本发明实施例提供的判断用户视力疲劳的方法进行举例说明，通过采集的图像中的眼白充血度的统计值直接与预设的统计量阈值进行比较确定眼睛是否处于疲劳状态，并进行对应的眼睛保护操作。
在实际应用中，在S205中提示后继续执行S202，并根据再次采集到的 人眼图像的眼白充血度确定当前的眼白充血度是否在曾加，并是否达到大于或等于第二统计量阈值，当大于或等于第二统计量阈值时，执行S206。
实施例三
实施例三提供了一种判断用户视力疲劳的方法，在该方法中，将用户开始看屏幕时刻的眼睛中的眼白充血度的统计量为眼睛特征参数的标准统计量对本发明实施例提供的判断用户视力疲劳的方法进行说明，如图4所示，包括：
S301、获取标准人眼图像的眼睛特征参数的标准统计量；
当终端的护眼模式开启时，终端通过摄像头采集用户开始看屏幕时候的人眼图像，以此时的人眼图像作为标准人眼图像，此人眼图像的作用是作为健康标本。此时，用户还未长时间看屏幕，眼睛的状态比较好，将此时的人眼图像中的眼白充血度的统计量作为标准统计量。
其中，终端的护眼模式可根据用户预设的操作来触发，比如：通过语音、按键等方式触发。例如，当终端接收到用户的语音信息“开启护眼”时，进入护眼模式。
S302、监测亮屏时长；
当该终端的护眼模式打开时，终端启动定时器，监测屏幕的亮屏时长，将检测的亮屏时长与预设的亮屏阈值进行比较，当亮屏时长小于亮屏阈值时，继续执行S201监测亮屏时间；当亮屏时长大于亮屏阈值时，执行S303。
S303、采集人眼图像；
当终端的亮屏时间大于亮屏阈值时，通过摄像头采集人眼图像，这里，为了采集人眼图像，启动终端的前置摄像头采集当前观看屏幕的使用者的人脸图像数据。
S304、对采集的人眼图像进行分析确定所述人眼图像中的眼白充血度的统计量；
分析前摄像头采集的人脸图像，根据脸部特征提取原则，将眼部图像分割出来得到人眼图像。然后采用图像识别方法，检测眼白充血度；具体的，采用图像分割的方法，将眼白部分提取，计算颜色分布直方图，统计其中红色素的占比，得到眼白充血度的统计量。
S305、计算眼白充血度统计量差值；
将S304中的眼白充血度统计量与S301中的眼白充血度的标准统计量进行比较，得到眼白充血度的统计量差值，
当眼白充血度的标准统计量为2％，S305中的眼白充血度统计量为5％时，眼白充血度的统计量差值为3％；当眼白充血度的标准统计量为2％，S305中的眼白充血度统计量为10％时，眼白充血度的统计量差值为8％；当眼白充血度的标准统计量为2％，S305中的眼白充血度统计量为15％时，眼白充血度的统计量差值为13％。差值统计量阈值进行比较；
S306、分别将眼白充血度的统计量差值分别与第一差值阈值、第二差值阈值比较；
这里，将眼白充血度的统计量差值分别与第一差值阈值、第二差值阈值进行比较，比较结果包括一下三种情况，第一种情况，当眼白充血度的统计量差值小于第一差值阈值时，进入S303，重新采集当前图像数据，这里，可以一定的采集周期周期性的采集图像数据；第二种情况，当眼白充血度的统计量差值大于或等于第一差值阈值，且小于第二差值阈值时，执行S307；第三种情况，当眼白充血度的统计量差值大于或等于第二差值阈值时，执行S308；
比如，第一差值阈值为5％，第二差值阈值为10％，当眼白充血度的统计量为3％时，表明用户此时眼睛状态比较好，进入S303，继续采集用户的图像数据；当眼白充血度的统计量为8％时，表明用户此时眼睛状态比较疲劳，进入S307；当眼白充血度的统计量为13％时，表明用户此时眼睛状态 非常疲劳，进入S308。
S307、提示用户眼睛保护；
确定当用户的眼睛比较疲劳时，通过提示的方式提醒用户当前眼睛比较疲劳，需要注意眼睛休息，具体的提示方式可包括：振动提示、语音提示、消息提示，屏幕亮度调节等提示方式，告知用户眼睛已经有红血丝，请注意用眼保护。
S308、灭屏操作；
此时，确定用户的眼睛处于非常疲劳时，则给予严重警告提示并进行待机或关机等灭屏操作，强制性的使得用户无法再继续浏览屏幕，使得用户的眼睛得到休息。
在该实施例中，以眼睛特征参数为眼白充血度对本发明实施例提供的判断用户视力疲劳的方法进行举例说明，通过采集的人眼图像中的眼白充血度的统计值与眼白充血度的标准统计量进行比较，将比较得到的差值再与预设的差值阈值比较来确定眼睛是否处于疲劳状态，并进行对应的眼睛保护操作。
在实际应用中，在S307中提示后继续执行S303，并根据再次采集到的图像数据的眼白充血度确定当前的眼白充血度是否在曾加，并是否达到大于或等于第二差值阈值，当大于或等于第二差值阈值时，执行S308。
实施例四
为实现上述判断用户视力疲劳的方法，本发明实施例还提供一种保护眼睛的装置，如图5所示，所述装置包括：获取模块401，分析模块402以及匹配模块403，其中，
获取模块401，配置为获取人眼图像；
分析模块402，配置为对所述人眼图像进行分析，以确定所述人眼图像数据中的眼睛特征参数；
匹配模块403，配置为将所述眼睛特征参数的与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳；
其中，获取模块401，还配置为当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取所述人眼图像。
如图6所示，所述装置还包括，监控模块404，配置为当接收到预设的用户操作时，开始监控屏幕的亮屏状态得到屏幕的亮屏时长。
如图6所示，匹配模块403包括：差值子模块4031或统计量子模块4032，其中，
差值子模块4031，配置为将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛特征参数的统计量差值与所述预设的统计量差值阈值进行比较；当所述眼睛特征参数的统计量差值大于或等于第一差值阈值时，确定用户视力疲劳。此时，获取模块401，还配置为获取标准人眼图像；分析模块402，还配置为对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
统计量子模块4032，配置为将所述眼睛特征参数的统计量直接与所述预设的统计量阈值进行比较；当所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户视力疲劳。
差值子模块4031，还配置为当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行提示；当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理。
统计量子模块4032，还配置为当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进行提示；当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理。
本发明实施例所述集成的模块如果以软件功能模块的形式实现并作为 独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本发明各个实施例所述方法的全部或部分。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。这样，本发明实施例不限制于任何特定的硬件和软件结合。
以上所述，仅为本发明的较佳实施例而已，并非用于限定本发明的保护范围。
工业实用性
本发明实施例的一种判断用户视力疲劳的方法，获取人眼图像；对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。采用本发明实施例，当用户使用没有增减特殊硬件的终端时，终端将获取人眼图像，对采集到的人眼图像进行分析后与预设阈值进行匹配后，根据匹配结果判断用户眼睛是否疲劳，从而直接通过摄像头进行眼睛是否疲劳的判断，进行护眼提醒或关屏处理，保护使用者眼睛，提高使用者的用户体验。

Claims (16)

  1. 一种判断用户视力疲劳的方法，所述方法包括：
    获取人眼图像；
    对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；
    将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。
  2. 根据权利要求1所述的方法，其中，所述方法还包括，当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取所述人眼图像。
  3. 根据权利要求2所述的方法，其中，所述方法还包括，当接收到预设的用户操作时，开始监控屏幕的亮屏状态得到屏幕的亮屏时长。
  4. 根据权利要求1所述的方法，其中，将所述眼睛特征参数与预设阈值进行匹配包括：
    将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛特征参数的统计量差值与所述预设的统计量差值阈值进行比较；或，
    将所述眼睛特征参数的统计量直接与所述统计量阈值进行比较。
  5. 根据权利要求4所述的方法，其中，所述方法还包括：
    获取标准人眼图像；
    对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
  6. 根据权利要求4所述的方法，其中，根据所述匹配结果确定用户是否视力疲劳包括：
    当所述眼睛特征参数的统计量差值大于或等于第一差值阈值时，确定用户视力疲劳；或，
    所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户 视力疲劳。
  7. 根据权利要求6所述的方法，其中，所述方法还包括：
    当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行护眼提示；
    当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理。
  8. 根据权利要求6所述的方法，其中，所述方法还包括：
    当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进行护眼提示；
    当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理。
  9. 一种判断用户视力疲劳的装置，所述装置包括：获取模块，分析模块以及匹配模块，其中，
    所述获取模块，配置为获取人眼图像；
    所述分析模块，配置为对所述人眼图像进行分析，以确定所述人眼图像中的眼睛特征参数；
    所述匹配模块，配置为将所述眼睛特征参数与预设阈值进行匹配，根据所述匹配结果确定用户是否视力疲劳。
  10. 根据权利要求9所述的装置，其中，所述获取模块，还配置为当屏幕的亮屏时长大于预设亮屏阈值时，通过摄像头获取所述人眼图像。
  11. 根据权利要求10所述的装置，其中，所述装置还包括，监控模块，配置为当接收到预设的用户操作时，开始监控屏幕的亮屏状态得到屏幕的亮屏时长。
  12. 根据权利要求9所述的装置，其中，所述匹配模块，包括：差值子模块或统计量子模块，其中，
    所述差值子模块，配置为将所述眼睛特征参数的统计量与眼睛特征参数的标准统计量进行比较，得出眼睛特征参数的统计量差值，将所述眼睛特征参数的统计量差值与所述预设的统计量差值阈值进行比较；
    所述统计量子模块，配置为将所述眼睛特征参数的统计量直接与所述预设的统计量阈值进行比较。
  13. 根据权利要求12所述的装置，其中，所述获取模块，还配置为获取标准人眼图像；
    所述分析模块，还配置为对所述标准人眼图像进行分析，确定所述标准人眼图像中的眼睛特征参数的标准统计量。
  14. 根据权利要求12所述的装置，其中，所述差值子模块，还配置为当所述眼睛特征参数的统计量差值大于或等于第一差值阈值时，确定用户视力疲劳；
    所述统计量子模块，还配置为当所述眼睛特征参数的统计量大于或等于第一统计量阈值时，确定用户视力疲劳。
  15. 根据权利要求14所述的装置，其中，所述差值子模块，还配置为：
    当所述眼睛特征参数的统计量差值大于或等于所述第一差值阈值且小于所述第二差值阈值时，进行护眼提示；
    当所述眼睛特征参数的统计量差值大于或等于所述第二差值阈值时，进行灭屏处理。
  16. 根据权利要求14所述的装置，其中，所述统计量子模块，还配置为：
    当所述眼睛特征参数的统计量大于或等于所述第一统计量阈值且小于所述第二统计量阈值时，进行护眼提示；
    当所述眼睛特征参数的统计量大于或等于所述第二统计量阈值时，进行灭屏处理。
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