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

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...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab Nasir, Anwar P.P. Abdul Majeed
Format:	Article
Language:	English
Published:	PeerJ Inc. 2021-03-01
Subjects:	Electroencephalography (EEG) Brain-computer interface (BCI) Motor imagery Random forest Ensemble learning Common spatial pattern (CSP)
Online Access:	https://peerj.com/articles/cs-374.pdf