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Reseach Article

A Comparison among Classification Accuracy of Neural Network, FLDA and BLDA in P300-based BCI System

by Ali Bakhshi, Alireza Ahmadifard
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 19
Year of Publication: 2012
Authors: Ali Bakhshi, Alireza Ahmadifard
10.5120/7048-9498

Ali Bakhshi, Alireza Ahmadifard . A Comparison among Classification Accuracy of Neural Network, FLDA and BLDA in P300-based BCI System. International Journal of Computer Applications. 46, 19 ( May 2012), 11-15. DOI=10.5120/7048-9498

@article{ 10.5120/7048-9498,
author = { Ali Bakhshi, Alireza Ahmadifard },
title = { A Comparison among Classification Accuracy of Neural Network, FLDA and BLDA in P300-based BCI System },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 19 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 11-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number19/7048-9498/ },
doi = { 10.5120/7048-9498 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:40:09.335242+05:30
%A Ali Bakhshi
%A Alireza Ahmadifard
%T A Comparison among Classification Accuracy of Neural Network, FLDA and BLDA in P300-based BCI System
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 19
%P 11-15
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the past decade, many studies focused on communication systems that translate brain activities into commands for a computer or other devices that called brain computer interface (BCI). In this study, we present a BCI system that achieves high classification accuracy with Neural Network (NN), Fisher Linear Discriminant Analysis (FLDA) and Bayesian Linear Discriminant Analysis (BLDA) for both disabled and able-bodies subjects. The system is based on the P300 evoked potential and is tested with four able-bodied and five severely disabled subjects. The effect of different electrode configurations on accuracy of machine learning Algorithms is tested and effect of other factors on classification accuracy in P300-based systems are discussed.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Classification Event Related Potential P300 Evoked Potential Neural Network Bayesian's Linear Discriminant Analysis.