Driving Fatigue Detection from EEG Using a Modified PCANet Method

Table 1

The classification performance using different feature extraction approaches.

Methods	Classifiers	Classification performance
		Accuracy (%)	AUC
WPD	SVM	55.42 ± 5.09	0.51 ± 0.11
	KNN	54.00 ± 5.00	0.46 ± 0.08
PSD	SVM	64.44 ± 15.06	0.55 ± 0.12
	KNN	76.00 ± 13.00	0.55 ± 0.08
Modified-PCANet	SVM	95.14 ± 4.87	0.97 ± 0.04
	KNN	89.00 ± 10.00	0.89 ± 0.12
PCANet	SVM	96.00 ± 4.00	0.98 ± 0.03
	KNN	87.00 ± 15.00	0.91 ± 0.10