Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine

Table 6

Accuracy comparison between state-of-the-art approaches on JAFFE, CK, and FER2013.

Dataset	Validation scheme	Methods	Accuracy (%)
JAFEE	10-fold	KDIsomap [74]	81.6
		EDL [75]	90.3
		CBIN [76]	86.7
		Proposed approach	92.4
	Split (70–30%)	RAU’s [46]	86.3
		CNN [77]	76.5
		Proposed approach	96.8
CK	10-fold	DTAN + DTGN [31]	91.4
		DNN [22]	90.9
		Proposed approach	82.8
	Split (70–30%)	DCNN as SCAE [78]	92.5
		Proposed approach	86.5
FER2013	Split (70–30%)	HOG + C4.5 [79]	46.1
		CNN [80]	57.1
		CNN + decision tree [79]	58.8
		VGG-Face + FR-Net-A + B + C +  Audio [81]	60.0
		AlexNet [82]	61.0
		CNN ensemble [83]	62.4
		Proposed approach	62.7