EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM

In recent years, graph convolutional neural networks have become research focus and inspired new ideas for emotion recognition based on EEG. Deep learning has been widely used in emotion recognition, but it is still challenging to construct models and algorithms in practical applications. In this pa...

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Bibliographic Details
Published inApplied soft computing Vol. 100; p. 106954
Main Authors Yin, Yongqiang, Zheng, Xiangwei, Hu, Bin, Zhang, Yuang, Cui, Xinchun
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2021
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