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Department of Electrical Engineering

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Electrical Engineering
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lin, Tsu-Hui Angel
Advisors dc:contributor.advisor
  • John, Lester
  • Tapson, J

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/5182
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/5182

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Lin, Tsu-Hui Angel. Detection of mental task related EEG for brain computer interface implementation (using SVM classification approach). Department of Electrical Engineering, 2007. http://hdl.handle.net/11427/5182