Classifying Driving Fatigue by Using EEG Signals

Table 2

Different feature extraction algorithms using SVM, KNN, and PSO-H-ELM classifiers to classify the accuracy (%).

Feature extraction algorithm	Classification algorithm	1	2	3	4	5	6	Average accuracy
Power spectral density	SVM	81.43	83.59	94.38	89.76	70.79	74.13	83.33
	KNN	77.39	77.57	97.33	87.57	88.58	89.32	86.28
	PSO–H-ELM	81.43	80.76	97.73	97.06	85.75	85.26	88.83
EMD	SVM	90.75	85.38	88.25	100.00	97.29	95.67	93.62
	KNN	77.25	83.33	88.71	100.00	97.25	95.67	90.94
	PSO–H-ELM	89.60	88.85	94.25	69.57	99.85	98.23	94.24