Eye fatigue detection method for smart phones

A smart phone, eye fatigue technology, applied in the field of image processing, can solve the problem of not many solutions to prevent eye fatigue, unable to prevent the basis, unable to detect the user's degree of fatigue when using electronic equipment, etc.

Inactive Publication Date: 2016-03-02
RES INST OF SUN YAT SEN UNIV & SHENZHEN
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AI Technical Summary

Problems solved by technology

[0004] The detection and prevention of eye fatigue in the use of electronic devices has not received much attention. A small number of inventors have used the method of detecting the distance from the human eye to the digital screen to remind the user to maintain an appropriate dis

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  • Eye fatigue detection method for smart phones
  • Eye fatigue detection method for smart phones
  • Eye fatigue detection method for smart phones

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Embodiment Construction

[0021] In order to make the purpose, technical solutions and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0022] In order to improve the real-time performance and accuracy of human eye fatigue detection, the embodiment of the present invention provides a mobile phone platform-based eye fatigue detection method, see figure 2 , 3 . in figure 2 The overall processing flow of the system is described, in which the human eye positioning and the evaluation of human eye fatigue are two important steps, which will be combined in the following image 3 A detailed description:

[0023] 201 collects a frame of image data every 120 milliseconds;

[0024] Among them, when applying the PERCLOS method to determine the degree of eye fatigue, the sampling rate of the image needs to meet certain requirements. When the sampling interval is at least ...

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Abstract

According to the invention, the human eyes are accurately positioned by a scale-invariant gradient integral projection algorithm and a Kalman filtering method, the degree of fatigue of the human eyes is detected by a calculation method based on the PERLOG feature, and different intervention measures are taken according to the degree of fatigue. The process mainly comprises the following steps: first, an image frame sequence of a user when the user uses a smart phone is collected through the front-facing camera of the smart phone, all the frames are sequentially processed by the smart phone, and the smallest rectangle containing the human eyes is positioned; second, the smallest rectangle containing the human eyes is positioned within a certain range of accuracy, the rectangle obtained each time is scaled according to the same fixed ratio, the area of the rectangle is worked out, the opening and closing condition of the eyes is judged according to an eye opening and closing threshold obtained through training, and the PERLOG feature value for judging the degree of fatigue of the human eyes is updated; and third, corresponding intervention measures are taken according to the degree of fatigue.

Description

technical field [0001] The invention relates to the application layer technology of the smart phone operating system, and image processing technologies such as face recognition and human eye recognition. technical background [0002] The ease of use and playability (entertainment, social networking, multimedia video and other functions) of smart phones has brought a lot of convenience to people, greatly enriched everyone's life, and made everyone rely heavily on smart phones. According to a survey report on smartphones in the Chinese market jointly launched by GOOGLE and IPSOS, the popularity of smartphones in Chinese cities has risen from 33% in 2012 to 47%. About 70% of them use smartphones to access the Internet every day. Smartphones have become an inseparable part of their lives, and most people also have the habit of using smartphones at night. Inevitably, the excessive use of smart phones has brought a major impact on the physical and mental health of users, among wh...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V40/18
Inventor 刘海亮苏航郭树霞
Owner RES INST OF SUN YAT SEN UNIV & SHENZHEN
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