Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification

• Main Authors: R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Brain-computer interface; Electroencephalography
• Online Access: https://hdl.handle.net/10356/179921
• Institution: Nanyang Technological University

Deep learning methods have proved a promising performance for electroencephalography-based brain-computer interfaces (EEG-BCI). It is particularly encouraging that a subject-independent model can be trained using a large amount of other subjects’ data. Transfer learning methods such as adaptation or...