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Multimodal EEG Emotion Recognition Based on the Attention Recurrent Graph Convolutional Network

EEG-based emotion recognition has become an important part of human–computer interaction. To solve the problem that single-modal features are not complete enough, in this paper, we propose a multimodal emotion recognition method based on the attention recurrent graph convolutional neural network, wh...

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Hoofdauteurs: Jingxia Chen, Yang Liu, Wen Xue, Kailei Hu, Wentao Lin
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-11-01
Reeks:Information
Onderwerpen:
emotion recognition
EEG
multimodal
convolutional block attention module
recurrent graph convolutional network
Online toegang:https://www.mdpi.com/2078-2489/13/11/550
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