TSception: capturing temporal dynamics and spatial asymmetry from EEG for emotion recognition

• Main Authors: Ding, Yi, Robinson, Neethu, Zhang, Su, Zeng, Qiuhao, Guan, Cuntai
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Deep learning; Convolutional neural networks; Electroencephalography; Emotion recognition
• Online Access: https://hdl.handle.net/10356/179071
• Institution: Nanyang Technological University

The high temporal resolution and the asymmetric spatial activations are essential attributes of electroencephalogram (EEG) underlying emotional processes in the brain. To learn the temporal dynamics and spatial asymmetry of EEG towards accurate and generalized emotion recognition, we propose TScepti...