[Retracted] Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals

Table 1

Classification accuracy of different feature extraction algorithms.

Feature extraction algorithm	Classification algorithm	Subject 1	Subject 2	Subject 3	Subject 4	Subject 5	Subject 6	Average accuracy (AP)
Power spectral density	SVM	81.5	83.58	94.82	89	70.63	73.16	82.12 ± 8.21
	KNN	77.33	77.75	96.51	87.74	88.84	87.31	85.87 ± 6.27
	PSO-H-ELM	81.5	80.67	95.66	96.08	85.24	85.24	87.41 ± 5.83
EMD decomposition combined with energy spectrum	SVM	90.25	84.82	87.74	99	96.91	95.64	92.41 ± 4.63
	KNN	76.5	82.33	88.19	99	96.51	95.64	89.68 ± 7.92
	PSO-H-ELM	89	88.57	94	67.74	98.56	97.32	93.11 ± 3.23