LSTM-CNN model of drowsiness detection from multiple consciousness states acquired by EEG

Expert Systems with Applications（2023）

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摘要

•Deep neural networks show improved performance in drowsiness detection.•Drowsiness detection yields high performance with 500 ms long data.•The possibility of a rapid reaction exists in a drowsy state.•The proposed LSTM model shows better performance than the proposed CNN model.

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关键词

EEG (electroencephalogram),Drowsiness detection,Multiclass classification,Input vector length optimization,LSTM (long-short term memory),CNN (convolutional neural network)

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