EEG-based emotion recognition using regularized graph neural networks

• المؤلفون الرئيسيون: Zhong, Peixiang, Wang, Di, Miao, Chunyan
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Affective Computing; Electroencephalography
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152723

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...