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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.
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