EEG-based emotion recognition using regularized graph neural networks

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

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...