Subject-independent meta-learning framework towards optimal training of EEG-based classifiers

• Main Authors: Ng, Han Wei, Guan, Cuntai
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Subject-independent; Meta-learning; Motor imagery; EEG classification
• Online Access: https://hdl.handle.net/10356/179116
• Institution: Nanyang Technological University

Advances in deep learning have shown great promise towards the application of performing high-accuracy Electroencephalography (EEG) signal classification in a variety of tasks. However, many EEG-based datasets are often plagued by the issue of high inter-subject signal variability. Robust deep learn...