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

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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Bibliographic Details
Main Authors: Jingxia Chen, Yang Liu, Wen Xue, Kailei Hu, Wentao Lin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Information
Subjects:
emotion recognition
EEG
multimodal
convolutional block attention module
recurrent graph convolutional network
Online Access:https://www.mdpi.com/2078-2489/13/11/550

Internet

https://www.mdpi.com/2078-2489/13/11/550

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