Performance analysis of different techniques for brain computer interfacing

Recent works on different types of Brain Computer Interface (BCI) and their performance analysis have provided some remarkable features for applications. The aim of this work is to compare the accuracies of different types of BCI to find out the suitable techniques. The study shows that each te...

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Main Authors: Hasan, M. R., Ibrahimy, Muhammad Ibn, Motakabber, S. M. A.
Format: Proceeding Paper
Language:English
Published: 2013
Subjects:
Online Access:http://irep.iium.edu.my/33223/
http://irep.iium.edu.my/33223/1/Performance_Analysis_of_Different_Techniques_for_Brain_Computer_Interface.pdf
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author Hasan, M. R.
Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
author_facet Hasan, M. R.
Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
author_sort Hasan, M. R.
building IIUM Repository
collection Online Access
description Recent works on different types of Brain Computer Interface (BCI) and their performance analysis have provided some remarkable features for applications. The aim of this work is to compare the accuracies of different types of BCI to find out the suitable techniques. The study shows that each technique performance depends on the type of BCI. A batter performance of the BCI systems is supported by the artificial neural network.
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format Proceeding Paper
id iium-33223
institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T15:38:01Z
publishDate 2013
recordtype eprints
repository_type Digital Repository
spelling iium-332232013-12-16T03:08:48Z http://irep.iium.edu.my/33223/ Performance analysis of different techniques for brain computer interfacing Hasan, M. R. Ibrahimy, Muhammad Ibn Motakabber, S. M. A. T Technology (General) Recent works on different types of Brain Computer Interface (BCI) and their performance analysis have provided some remarkable features for applications. The aim of this work is to compare the accuracies of different types of BCI to find out the suitable techniques. The study shows that each technique performance depends on the type of BCI. A batter performance of the BCI systems is supported by the artificial neural network. 2013-08 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/33223/1/Performance_Analysis_of_Different_Techniques_for_Brain_Computer_Interface.pdf Hasan, M. R. and Ibrahimy, Muhammad Ibn and Motakabber, S. M. A. (2013) Performance analysis of different techniques for brain computer interfacing. In: International Conference on Computing, Electrical and Electronic Engineering, 26 - 28 August 2013, Corinthia Hotel , Khartoum, Sudan. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6634031
spellingShingle T Technology (General)
Hasan, M. R.
Ibrahimy, Muhammad Ibn
Motakabber, S. M. A.
Performance analysis of different techniques for brain computer interfacing
title Performance analysis of different techniques for brain computer interfacing
title_full Performance analysis of different techniques for brain computer interfacing
title_fullStr Performance analysis of different techniques for brain computer interfacing
title_full_unstemmed Performance analysis of different techniques for brain computer interfacing
title_short Performance analysis of different techniques for brain computer interfacing
title_sort performance analysis of different techniques for brain computer interfacing
topic T Technology (General)
url http://irep.iium.edu.my/33223/
http://irep.iium.edu.my/33223/
http://irep.iium.edu.my/33223/1/Performance_Analysis_of_Different_Techniques_for_Brain_Computer_Interface.pdf