Mathematical Problems in Engineering / 2019 / Article / Tab 3

Research Article

Emotion Recognition Based on Framework of BADEBA-SVM

Table 3

Comparison with related work using EEG signals in DEAP dataset.

Authors# ChannelApproach in the modelAccuracy(%)

Chung et al. [21]32Power spectral analysis with Bayes classifier66.6(valence,2-class)
3253.4(valence,3-class)
Yoon et al. [22]32FFT enhanced feature extraction and classification70.9(valence,2-class)
3270.1(arousal,2-class)
Dai et al. [23]5Sparse constrained differential evolution enabled hybrid selection73.0(valence,2-class)
574.5(arousal,2-class)
Our research8BADEBA optimal channel and classification74.86(valence,2-class)
775.61(arousal,2-class)