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

Includes bibliographical references (p. 97-103).

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Bibliographic Details
Main Author: Lin, Tsu-Hui Angel
Other Authors: John, Lester
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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access_status_str Open Access
author Lin, Tsu-Hui Angel
author2 John, Lester
author_browse John, Lester
Lin, Tsu-Hui Angel
author_facet John, Lester
Lin, Tsu-Hui Angel
author_sort Lin, Tsu-Hui Angel
collection Thesis
description Includes bibliographical references (p. 97-103).
format Thesis
id oai:open.uct.ac.za:11427/5182
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:43.046Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/5182 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 Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Lin, Tsu-Hui Angel
Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)
thesis_degree_str Master's
title 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_short 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
topic Electrical Engineering
url http://hdl.handle.net/11427/5182
work_keys_str_mv AT lintsuhuiangel detectionofmentaltaskrelatedeegforbraincomputerinterfaceimplementationusingsvmclassificationapproach