In our present work, the sample entropy (SampEn) was used to analyze the changes of ship driver driving fatigue state when they drive 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 they are driving.
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