Tensor-CSPNet: a novel geometric deep learning framework for motor imagery classification

• Main Authors: Ju, Ce, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Geometric Deep Learning; Motor Imagery Classification
• Online Access: https://hdl.handle.net/10356/164529
• Institution: Nanyang Technological University

Deep learning (DL) has been widely investigated in a vast majority of applications in electroencephalography (EEG)-based brain-computer interfaces (BCIs), especially for motor imagery (MI) classification in the past five years. The mainstream DL methodology for the MI-EEG classification exploits the...