Human-computer interface using a web camera

dc.contributor.advisorHerbst, B. M.
dc.contributor.advisorDu Preez, J. A.
dc.contributor.authorEllis, Loftie
dc.contributor.otherUniversity of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering.
dc.date.accessioned2008-03-26T10:31:11Zen_ZA
dc.date.accessioned2010-06-01T08:38:10Z
dc.date.available2008-03-26T10:31:11Zen_ZA
dc.date.available2010-06-01T08:38:10Z
dc.date.issued2007-12
dc.descriptionThesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.
dc.description.abstractIn this thesis we present a human-computer interface (HCI) system for disabled persons using only a basic web camera. Mouse movements are simulated by small movements of the head, while clicks are simulated by eye blinks. In this study, a system capable of face tracking, eye detection (including iris detection), blink detection and finally skin detection and face recognition has been developed. A detection method based on Haar-like features are used to detect the face and eyes. Once the eyes have been detected, a support vector machines classifier is used to detect whether the eye is open or closed (for use in blink detection). Skin detection is done using K-means clustering, while Eigenfaces is used for face recognition. It is concluded that using a web camera as a human-computer interface can be a viable input method for the severely disabled.en
dc.format.extent3059400 bytesen_ZA
dc.format.mimetypeapplication/pdfen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/1988
dc.language.isoenen_ZA
dc.publisherStellenbosch : University of Stellenbosch
dc.rights.holderUniversity of Stellenbosch
dc.subjectDissertations -- Electronic engineeringen
dc.subjectTheses -- Electronic engineeringen
dc.subjectHuman-computer interactionen
dc.subjectUser interfaces (Computer systems)en
dc.titleHuman-computer interface using a web cameraen
dc.typeThesis
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