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EEG Emotion Recognition on DEAP Valence

90.1AccuracyFAT
53.28462.84272.481.958Feb 28, 2025

Evaluation results

MethodLinks
FATProtocol=Subject-dependent, Scheme=10-fold, Configuration=ours2025.0290.12.71
DGCNNProtocol=Subject-dependent, Scheme=10-fold2025.0284.696.2
ConformerProtocol=Subject-dependent, Scheme=10-fold2025.0280.712.3
FATProtocol=Subject-dependent, Scheme=10-fold, Configuration=w/ FAN2025.0280.472.89
LSTMProtocol=Subject-dependent, Scheme=10-fold2025.0274.763.41
KNNProtocol=Subject-dependent, Scheme=10-fold2025.0267.47.28
SVMProtocol=Subject-dependent, Scheme=10-fold2025.0265.84.62
FAT (ours)Evaluation Protocol=subject-independent2025.0262.70.8
FAT (w/ FAN)Evaluation Protocol=subject-independent, Configuration=with Fourier Adjacent Network2025.0262.590.64
ConformerEvaluation Protocol=subject-independent2025.0262.40.2
LSTMEvaluation Protocol=subject-independent2025.0260.310.24
DGCNNEvaluation Protocol=subject-independent2025.0259.721.38
KNNEvaluation Protocol=subject-independent2025.0255.354.3
SVMEvaluation Protocol=subject-independent2025.0254.70.36