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Title A steady-state visually evoked potential based brain-computer interface system for control of electric wheelchairs.
AuthorStamps, Kenyon.
SubjectDissertations, Academic -- South Africa.
SubjectData transmission systems -- Mathematics.
SubjectHidden Markov models.
SubjectMarkov processes.
SubjectElectroencephalography.
SubjectComputer vision.
SubjectBrain-computer interfaces.
SubjectElectric wheelchairs.
SubjectControl theory.
Date2012
TypeText
FormatPDF
AbstractM. Tech. Electrical Engineering
AbstractDetermines whether Hidden Markov models (HMM) can be used to classify steady state visual evoked electroencephalogram signals in a BCI system. This is for the purpose of aiding disabled people in driving a wheelchair.
Identifierhttp://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001343