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

Simple item page
dc.contributor.advisorJohn, Lesteren_ZA
dc.contributor.advisorTapson, Jen_ZA
dc.contributor.authorLin, Tsu-Hui Angelen_ZA
dc.date.accessioned2014-07-31T10:55:08Z
dc.date.available2014-07-31T10:55:08Z
dc.date.issued2007en_ZA
dc.descriptionIncludes bibliographical references (p. 97-103).
dc.description.abstractBrain 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.en_ZA
dc.identifier.apacitationLin, T. A. (2007). <i>Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5182en_ZA
dc.identifier.chicagocitationLin, Tsu-Hui Angel. <i>"Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach)."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2007. http://hdl.handle.net/11427/5182en_ZA
dc.identifier.citationLin, T. 2007. Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach). University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Lin, Tsu-Hui Angel AB - 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. DA - 2007 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach) TI - Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach) UR - http://hdl.handle.net/11427/5182 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5182
dc.identifier.vancouvercitationLin TA. Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach). [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2007 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5182en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleDetection of mental task related EEG for brain computer interface implementation (using SVM classification approach)en_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2007_lin_t (1).pdf
Size:
8.84 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters