A steady-state visually evoked potential based brain-computer interface system for control of electric wheelchairs.

Autor:	Stamps, Kenyon.
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Dissertations Academic South Africa. Data transmission systems Mathematics. Hidden Markov models. Markov processes. Electroencephalography. Computer vision. Brain-computer interfaces. Electric wheelchairs. Control theory.
Druh dokumentu:	Text
Popis:	M. Tech. Electrical Engineering Determines 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.
Databáze:	Networked Digital Library of Theses & Dissertations
Externí odkaz:	http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001343 Zobrazit plný text záznamu