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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Veröffentlicht in:	IEEE transactions on multimedia Jg. 26; S. 9070 - 9082
Hauptverfasser:	Jin, Ming, Du, Changde, He, Huiguang, Cai, Ting, Li, Jinpeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2024
Schlagworte:	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-Zugang:	Volltext
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