CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition

Electroencephalography (EEG) is recorded by electrodes from different areas of the brain and is commonly used to measure neuronal activity. EEG-based methods have been widely used for emotion recognition recently. However, most current methods for EEG-based emotion recognition do not fully exploit t...

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Bibliographic Details
Main Authors:	Jingjing Jia, Bofeng Zhang, Hehe Lv, Zhikang Xu, Shengxiang Hu, Haiyan Li
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Series:	Brain Sciences
Subjects:	electroencephalography emotion recognition adjacency matrix CR-GCN
Online Access:	https://www.mdpi.com/2076-3425/12/8/987

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