Fatigue and Attention Detection Based on Bayesian Network
Jianming Zhang, Linfeng Wei, Zhiqiang Liu, Peng Wang · Jisuanji gongcheng · 2012
(Abstract )In order to improve accuracy and reliability of the detection based on a single feature, a detection algorithm based on Bayesian network fusing multiple features parameters is proposed. The algorithm locates driver's eyes and mouth, creates head revolution pattern, which is based on the triangle composing of two eyes and mouth, then inputs all the extracted character parameters to Bayesian network and makes a logic judgment, a timely warning is given when detecting drivers in an abnormal driving status. Experimental results show that the algorithm for detecting drowsy or losing attention has high accuracy.