Eye fatigue detection method for smart phones

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...

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 distance when using the device, and the fatigue of the user using the electronic device cannot be detected. To a certain extent, the prevention basis for the user's fatigue cannot be properly proposed, which is why there are not many solutions to the problem of preventing eye fatigue

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