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Driver fatigue detection based on head gesture and PERCLOS

Single mean is always used to detect driver fatigue, this paper propose an integrated fatigue detection system. Head gesture and eye condition are two important factors of fatigue. In this system, we use Adaboost improved with CART to detect face, and then the centroid of face is calculated to monitoring the head gesture. On the other hand, we use Active Appearance Model to detect eye's open and close status before the PERCLOS is used to judge the degree of driver fatigue. Compared to the original system, the combination of two means make this system more reliable. The experiments results show that this method is fast and effective that can be used in real-time detection.