Drowsiness Detection Based on Eye Shape Measurement

Drowsiness of drivers is one of the main causes of road accidents. Thus countermeasure systems is required to prevent sleepiness related accidents. In this paper, a method for detecting driver’s drowsiness and subsequently alerting is proposed based on eye shape measurement. The Local Successive Mean Quantization Transform (SMQT) features and split up snow classifier algorithm is used detect driver’s face and shape measurement algorithm is used to find the eye blink. Different criterions such as duration of eyelid closure, number of groups of continuous blinks and frequency of eye blink are used to find drowsiness of the driver. Experimental results show that this new algorithm achieves a satisfied performance for drowsiness detection