Driver Fatigue Detection Based on Eye State Recognition

Abstract

Driving fatigue is a main factor caused the traffic accidents. Our faces contain a lot of useful information, we can use the state of eyes to detect the fatigue, but the eye state would be affected by wearing sunglasses. In this paper, to solve above problems and make the algorithm keep the accuracy and real-time at the same time, we use the infrared videos for detecting and propose an eye state recognition method based on convolution neural network (CNN), eventually calculating percentage of eyelid closure over the pupil over time (PERCLOS), blink frequency to detect the fatigue. The experimental results show that the proposed method has high recognition accuracy of state of eyes when wearing glasses and can detect the fatigue effectively.