Driver fatigue detection based on mouth information

Driver´s fatigue detection has been realized based on driver´s mouth geometrical features. It can give some information when driver is fatigue. For better speed and reliability, a new method which was based on combined Adaboost algorithm and particle filter was applied. Then the mouth verification was applied according to prior knowledge. Driver´s state was judged by the geometrical features in a period of time. As a result, the detection accuracy was improved. This method can meet the requirement of driver´s fatigue detection.