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Published at November 7

Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition

cs.HC

eess.SP

q-bio.NC

Released Date: November 7, 2024

Authors: Xinke Shen, Runmin Gan, Kaixuan Wang, Shuyi Yang, Qingzhu Zhang, Quanying Liu, Dan Zhang, Sen Song

Arxiv: http://arxiv.org/abs/2411.04568v1

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Methods	SEED (Acc%)	SEED-V (Acc%)
DE+MLP	79.9 $\pm$ 8.7	59.3 $\pm$ 17.2
DResNet[63]	85.3 $\pm$ 8.0	/
PPDA [64]	86.7 $\pm$ 7.1	/
CLISA[59]	86.4 $\pm$ 6.4	67.3 $\pm$ 13.0
LDG+Resnet101[65]	82.0 $\pm$ 5.9	/
PCDG[66]	87.3 $\pm$ 2.1	/
GCPL[62]	80.7 $\pm$ 6.0	/
DMMR[60]	88.3 $\pm$ 5.6	/
DAEST (ours)	88.1 $\pm$ 3.6	73.6 $\pm$ 12.7