Drowsiness Detection Based on Eyelid Movement

Abstract

Fatigue driving easily causes traffic accidents. drowsiness is an important hint of Fatigue. A novel drowsiness detection algorithms based on eyelid movement is proposed in the paper. The cascaded classifiers algorithm is used to detect driver's face and the diamond searching algorithm used to trace the face. A simple feature is then extracted from temporal difference image and used to analyze rules of eyelid movement in drowsiness. Furthermore, three criterions are also presented and used to judge whether a driver is drowsy or not. Experimental results show that this new algorithm achieves a satisfied performance for drowsiness detection.

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