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...
Main Authors: | , , |
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Format: | Proceeding Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | 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. |
collection | IIUM |
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. |
first_indexed | 2024-03-05T23:20:26Z |
format | Proceeding Paper |
id | oai:generic.eprints.org:33223 |
institution | International Islamic University Malaysia |
language | English |
last_indexed | 2024-03-05T23:20:26Z |
publishDate | 2013 |
record_format | dspace |
spelling | oai:generic.eprints.org: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/33223/1/Performance_Analysis_of_Different_Techniques_for_Brain_Computer_Interface.pdf |
work_keys_str_mv | AT hasanmr performanceanalysisofdifferenttechniquesforbraincomputerinterfacing AT ibrahimymuhammadibn performanceanalysisofdifferenttechniquesforbraincomputerinterfacing AT motakabbersma performanceanalysisofdifferenttechniquesforbraincomputerinterfacing |