The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN

• Main Authors: Rashid, Mamunur, Bari, Bifta Sama, Hasan, Md Jahid, Mohd Azraai, Mohd Razman, Rabiu Muazu, Musa, Ahmad Fakhri, Ab. Nasir, Anwar, P. P. Abdul Majeed
• Format: Article
• Language: English
• Published: 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/30965/1/The%20classification%20of%20motor%20imagery%20response-%20an%20accuracy%20enhancement.pdf; http://umpir.ump.edu.my/id/eprint/30965/; https://doi.org/10.7717/peerj-cs.374; https://doi.org/10.7717/peerj-cs.374
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Brain-computer interface (BCI) is a viable alternative communication strategy for patients of neurological disorders as it facilitates the translation of human intent into device commands. The performance of BCIs primarily depends on the efficacy of the feature extraction and feature selection techn...