Driving Fatigue Detection from EEG Using a Modified PCANet Method

Table 3

The average time (seconds) used in the feature extraction, model training, and testing between the traditional PCANet and the proposed modified PCANet method.

Steps	Methods		Number of PCA filters
			2	4	6	8	10	12
Features extraction	Modified-PCANet		0.89	1.46	2.18	2.91	4.22	7.71
	PCANet		125.43	219.94	320.39	449.50	651.95	1202.40
Model training	Modified-PCANet	SVM	0.05	0.70	5.67	10.34	13.25	15.65
		KNN	0.02	0.30	2.20	4.10	5.12	6.15
	PCANet	SVM	7.02	126.66	302.52	736.79	1813.40	3606.80
		KNN	2.70	49.01	118.60	285.04	697.46	1387.23
Model testing	Modified-PCANet	SVM	0.25	0.26	0.26	0.28	0.34	0.39
		KNN	0.10	0.12	0.13	0.15	0.13	0.16
	PCANet	SVM	1.16	2.94	5.34	11.10	20.84	35.75
		KNN	0.45	1.14	2.10	4.22	8.02	14.06