Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI

• Main Authors: Fahimi, Fatemeh, Zhang, Zhuo, Goh, Wooi Boon, Lee, Tih-Shi, Ang, Kai Keng, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Attention; BCI
• Online Access: https://hdl.handle.net/10356/144956
• Institution: Nanyang Technological University

Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In this paper, we propose a framework based on the deep convolut...