most citedEEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

178 citations

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eess.SP2021★ 178 cited

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Jian Cui, Zirui Lan, Olga Sourina +1

In the context of electroencephalogram (EEG)-based driver drowsiness recognition, it is still challenging to design a calibration-free system, since EEG signals vary significantly…

eess.SP2021★ 142 cited

A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG

Jian Cui, Zirui Lan, Yisi Liu +4

Driver drowsiness is one of main factors leading to road fatalities and hazards in the transportation industry. Electroencephalography (EEG) has been considered as one of the best…