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

Yu Liu; Guohui Li; Fuwang Wang

doi:10.1117/12.2671170

28 April 2023 Real-time EEG-based detection of ship driving fatigue using sample entropy

Yu Liu, Guohui Li, Fuwang Wang

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102F (2023) https://doi.org/10.1117/12.2671170
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

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.

Citation Download Citation

Yu Liu, Guohui Li, and Fuwang Wang "Real-time EEG-based detection of ship driving fatigue using sample entropy", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102F (28 April 2023); https://doi.org/10.1117/12.2671170

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