Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism

This demonstrates that the DACB model achieves high accuracy in emotion classification tasks, demonstrating outstanding performance and generalization ability and providing new directions for future research in EEG signal recognition.

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Publication Details

Journal
Brain Sciences
Published
2024-12-21
DOI
https://doi.org/10.3390/brainsci14121289
Citations
8
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
2.74

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article

Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism

Qi Dong, Shanwen Zhang, Yuyao Yang, Zhentao Huang et al.
8 citations
Brain Sciences
EEG and Brain-Computer Interfaces
2.74
article

Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism

Qi Dong, Shanwen Zhang, Yuyao Yang, Zhentao Huang, Liangliang Hu, Rongrong Wang, Yahong Ma
article en
8 citations

Abstract

This demonstrates that the DACB model achieves high accuracy in emotion classification tasks, demonstrating outstanding performance and generalization ability and providing new directions for future research in EEG signal recognition.

Brain SciencesVol. 14(12)
Chongqing University of Posts and Telecommunications (CN), Zhengzhou University (CN), Chongqing University of Education (CN), Xijing University (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
EEG and Brain-Computer Interfaces
2.74
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