PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition

Emotion recognition is essential in the diagnosis and rehabilitation of various mental diseases. In the last decade, electroencephalogram (EEG)-based emotion recognition has been intensively investigated due to its prominative accuracy and reliability, and graph convolutional network (GCN) has becom...

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Bibliographic Details

Published in:	IEEE transactions on multimedia Vol. 26; pp. 9070 - 9082
Main Authors:	Jin, Ming, Du, Changde, He, Huiguang, Cai, Ting, Li, Jinpeng
Format:	Journal Article
Language:	English
Published:	IEEE 2024
Subjects:	Convolutional neural networks Electrodes Electroencephalogram Electroencephalography Emotion recognition Feature extraction graph convolutional network Knowledge engineering knowledge-based modelling Scalp
ISSN:	1520-9210, 1941-0077
Online Access:	Get full text
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