Real-time EEG-based detection of ship driving fatigue using sample entropy

Abstract

In our present work, the sample entropy (SampEn) was used to analyze the changes of ship driver driving fatigue state when he drove for a long time from the perspective of human electroencephalogram (EEG). Combining with the eye movement, the law of fatigue change caused by long-time driving of the ship is analyzed. Thus it can conclude that the EEG characteristics, as well as the eye movement, can effectively detect driver's fatigue when he driving.