Emotion Recognition Based on Framework of BADEBA-SVM

Table 3

Comparison with related work using EEG signals in DEAP dataset.

Authors	# Channel	Approach in the model	Accuracy(%)
Chung et al. [21]	32	Power spectral analysis with Bayes classifier	66.6(valence,2-class)
	32		53.4(valence,3-class)
Yoon et al. [22]	32	FFT enhanced feature extraction and classification	70.9(valence,2-class)
	32		70.1(arousal,2-class)
Dai et al. [23]	5	Sparse constrained differential evolution enabled hybrid selection	73.0(valence,2-class)
	5		74.5(arousal,2-class)
Our research	8	BADEBA optimal channel and classification	74.86(valence,2-class)
	7		75.61(arousal,2-class)