Granger-Causality-Based Multi-Frequency Band EEG Graph Feature Extraction and Fusion for Emotion Recognition

Granger-Causality-Based Multi-Frequency Band EEG Graph Feature Extraction and Fusion for Emotion Recognition

Graph convolutional neural networks (GCN) have attracted much attention in the task of electroencephalogram (EEG) emotion recognition. However, most features of current GCNs do not take full advantage of the causal connection between the EEG signals in different frequency bands during the process of...

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Bibliographic Details
Main Authors: Jing Zhang, Xueying Zhang, Guijun Chen, Qing Zhao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Brain Sciences
Subjects:
emotion recognition
Granger causality
graph convolutional neural network
graph feature extraction
feature fusion
Online Access:https://www.mdpi.com/2076-3425/12/12/1649

Internet

https://www.mdpi.com/2076-3425/12/12/1649

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