Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)

Includes bibliographical references (p. 97-103). === Brain computer interface (BCI) technology provides a method of communication and control for people with severe motor disabilities. This thesis explores the application of a Fast Fourier transform and support vector machine (FFT-SVM) to the proble...

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Bibliographic Details
Main Author:	Lin, Tsu-Hui Angel
Other Authors:	John, Lester
Format:	Dissertation
Language:	English
Published:	University of Cape Town 2014
Subjects:	Electrical Engineering
Online Access:	http://hdl.handle.net/11427/5182

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spelling	ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-51822020-12-10T05:11:01Z Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach) Lin, Tsu-Hui Angel John, Lester Tapson, J Electrical Engineering Includes bibliographical references (p. 97-103). Brain computer interface (BCI) technology provides a method of communication and control for people with severe motor disabilities. This thesis explores the application of a Fast Fourier transform and support vector machine (FFT-SVM) to the problem of mental task detection in EEG-based brain computer interface implementation. 2014-07-31T10:55:08Z 2014-07-31T10:55:08Z 2007 Master Thesis Masters MSc http://hdl.handle.net/11427/5182 eng application/pdf University of Cape Town Faculty of Engineering and the Built Environment Department of Electrical Engineering
collection	NDLTD
language	English
format	Dissertation
sources	NDLTD
topic	Electrical Engineering
spellingShingle	Electrical Engineering Lin, Tsu-Hui Angel Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
description	Includes bibliographical references (p. 97-103). === Brain computer interface (BCI) technology provides a method of communication and control for people with severe motor disabilities. This thesis explores the application of a Fast Fourier transform and support vector machine (FFT-SVM) to the problem of mental task detection in EEG-based brain computer interface implementation.
author2	John, Lester
author_facet	John, Lester Lin, Tsu-Hui Angel
author	Lin, Tsu-Hui Angel
author_sort	Lin, Tsu-Hui Angel
title	Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
title_short	Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
title_full	Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
title_fullStr	Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
title_full_unstemmed	Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
title_sort	detection of mental task related eeg for brain computer interface implementation (using svm classification approach)
publisher	University of Cape Town
publishDate	2014
url	http://hdl.handle.net/11427/5182
work_keys_str_mv	AT lintsuhuiangel detectionofmentaltaskrelatedeegforbraincomputerinterfaceimplementationusingsvmclassificationapproach
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Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)

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