Adaptive transfer learning for EEG motor imagery classification with deep convolutional neural network

• Main Authors: Zhang, Kaishuo, Robinson, Neethu, Lee, Seong-Whan, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Brain-Computer Interface; Electroencephalography
• Online Access: https://hdl.handle.net/10356/160766
• Institution: Nanyang Technological University

In recent years, deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, for deep learning models trained entirely on the data from a specific individual, the performance increase has only been marginal owing to the limited availability of subject...