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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Главные авторы:	Jingxia Chen, Yang Liu, Wen Xue, Kailei Hu, Wentao Lin
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-11-01
Серии:	Information
Предметы:	emotion recognition EEG multimodal convolutional block attention module recurrent graph convolutional network
Online-ссылка:	https://www.mdpi.com/2078-2489/13/11/550
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