Mathematical Problems in Engineering / 2019 / Article / Tab 1

Research Article

Emotion Recognition Based on Framework of BADEBA-SVM

Table 1

Channels selected, average accuracies, and standard deviations (%) by four optimal algorithms in valence.

Methods# ChannelChannel locationMean ± S.D.

Origin(Baseline)32All55.97±13.83
GA15Fp1,AF3,F3,Fz,F4,FC1,FC2,T7,
CP1,P3,Pz,PO3,PO4,O1,Oz
61.63±12.54
BPSO12Fp1,Fp2,AF3,F3,F4,FC2,T7,CP1,
P3,PO3,O1,Oz
69.38±10.76
BA10Fp1,Fp2,F3,F4,C4,T8,P3,O1,Oz,O272.42±9.93
BADEBA8Fp1,F3,F4,C4,CP1,P3,PO4,O175.26±9.72