A Novel Brain Computer Interface Based on Principle Component Analysis
Authors:
- Farid Ali MousaFMFarid Ali Mousa
- Reda A. El-KhoribiREReda A. El-Khoribi
- Mahmoud E. ShomanMSMahmoud E. Shoman
Open Access
- 1 January 2016
- journal article
- Published by Elsevier in Procedia Computer Science
- Vol. 82, 49-56
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Random Forest and Filter Bank Common Spatial Patterns for EEG-Based Motor Imagery Classification2014
- A Novel EEG Feature Extraction Method Using Hjorth ParameterInternational Journal of Electronics and Electrical Engineering, 2014
- Review of the BCI Competition IVFrontiers in Neuroscience, 2012
- Learning discriminative patterns for self-paced EEG-based motor imagery detectionFrontiers in Neuroscience, 2012
- Brain-computer interfaces for communication and controlCommunications of the ACM, 2011
- Classification of mental task from EEG data using neural networks based on particle swarm optimizationNeurocomputing, 2009
- Noninvasive BCIs: Multiway Signal-Processing Array DecompositionsComputer, 2008
- Studying the Use of Fuzzy Inference Systems for Motor Imagery ClassificationIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007
- Brain–computer interfaces for communication and controlClinical Neurophysiology, 2002
- Ocular artifacts in recording EEGs and event-related potentials II: Source dipoles and source componentsBrain Topography, 1993