Table 4.

Classification accuracy of the selected feature extraction methods with the SVM classifier for a mental workload task.

Authors	Year	Feature Extraction Method	Classification	Performance (%)
Guo et al. [245]	2010	Entropy	IFWSVM	Accuracy = 97.5
Rashid et al. [239]	2018	FFT	Cubic SVM	Accuracy = 95
Gupta and Agrawal [248]	2012	EMD	SVM	Accuracy = 94.3
Vanitha and Krishnan [244]	2016	HHT	SVM	Accuracy = 89.07
Wei et al. [249]	2011	PCA	SVR	Accuracy = 85.92
Peng et al. [84]	2020	HHT	SVM	Accuracy = 84.8
Gupta et al. [250]	2020	WT/EMD	Non-linear SVM	Accuracy = 80–100
Hosni et al. [251]	2017	AR	RBF-SVM	Accuracy = 70
Liang et al. [252]	2006	AR	SVM	Accuracy = 67.57