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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    Title :

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


    Contributors:
    Liu, Yu (author) / Li, Guohui (author) / Wang, Fuwang (author)

    Conference:

    Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022) ; 2022 ; Wuhan,China


    Published in:

    Proc. SPIE ; 12610


    Publication date :

    2023-04-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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