Table 3.

Comparison of studies conducted on emotion recognition tasks by using the DEAP data set.

Authors	Year	Feature Extraction Method	Classification	Performance (%)
Ramzan and Dawn [119]	2019	Statistics	RF	Accuracy = 98.2
Bazgir et al. [163]	2018	PCA	RBF-SVM	Accuracy = 91.1 (valence) Accuracy = 91.3 (arousal)
Balan et al. [162]	2019	Entropy	RF	Accuracy = 90.07
Qiao et al. [224]	2017	STFT	CNN	Accuracy = 87.27
Shukla and Chaurasiya [167]	2018	DWT	KNN	Accuracy = 87.1
Nawaz et al. [168]	2020	Statistics	SVM	Accuracy = 77.62 (valence) Accuracy = 78.96 (arousal) Accuracy = 77.6 (dominance)
Doma and Pirouz [164]	2020	PCA	KNN	Accuracy = 74.25
Chung and Yoon [31]	2012	N/A	NB	Accuracy = 66.6 (valence) Accuracy = 66.4 (arousal)
Rozgic et al. [166]	2013	PCA	ANNs	Accuracy > 60