EEG-based emotion recognition using regularized graph neural networks

• Main Authors: Zhong, Peixiang, Wang, Di, Miao, Chunyan
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2021
• 主題: Engineering::Computer science and engineering; Affective Computing; Electroencephalography
• 在線閱讀: https://hdl.handle.net/10356/152723
• 機構: 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...