燕山大学学报2026，Vol.50Issue(4)：360-368,9.DOI:10.3969/j.issn.1007-791X.2026.04.009
基于动态有向时空图的EEG情绪识别方法
EEG emotion recognition method based on dynamic directed spatial-temporal graph
摘要
Abstract
Electroencephalogram(EEG)emotion recognition holds significant applications value in human-computer interaction and diagnosis and treatment of emotional disorders.However,existing methods for characterizing brain emotional activities have limitations in fully exploring the dynamic and directed spatial-temporal features within EEG.To address the insufficient modeling of dynamic topological relationships among brain regions in EEG-based emotion recognition studies,this research proposes a Dynamic Directed Spatial-Temporal Graph Network.This innovative approach constructs dynamic directed spatial-temporal graphs to capture the dynamic changes in topological connections between EEG channels during emotion induction processes,thereby fully exploiting spatial-temporal features.Experiments evaluations on the SEED and SEED-Ⅳ public datasets demonstrate that the proposed method outperforming state-of-the-art models,indicating its significant advantages in EEG emotion recognition tasks.关键词
脑电信号/情绪识别/卷积神经网络/图神经网络Key words
EEG/emotion recognition/convolution neural network/graph neural network分类
信息技术与安全科学引用本文复制引用
贾立帆,李宇翔,高畅..基于动态有向时空图的EEG情绪识别方法[J].燕山大学学报,2026,50(4):360-368,9.基金项目
中央引导地方科技发展资金资助项目(246Z5309G) （246Z5309G）
