EEG-based emotion recognition using regularized graph neural networks

EEG-based emotion recognition using regularized graph neural networks

Electroencephalography (EEG) measures the neuronal activities in different brain regions via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit the topology of EEG channels. In this paper, we propose a regularized graph neural network (RGNN) for EEG-based emot...

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Bibliographic Details
Main Authors: Zhong, Peixiang, Wang, Di, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Affective Computing
Electroencephalography
Online Access:https://hdl.handle.net/10356/152723

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