Human-computer interface using a web camera
dc.contributor.advisor | Herbst, B. M. | |
dc.contributor.advisor | Du Preez, J. A. | |
dc.contributor.author | Ellis, Loftie | |
dc.contributor.other | University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. | |
dc.date.accessioned | 2008-03-26T10:31:11Z | en_ZA |
dc.date.accessioned | 2010-06-01T08:38:10Z | |
dc.date.available | 2008-03-26T10:31:11Z | en_ZA |
dc.date.available | 2010-06-01T08:38:10Z | |
dc.date.issued | 2007-12 | |
dc.description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007. | |
dc.description.abstract | In 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.extent | 3059400 bytes | en_ZA |
dc.format.mimetype | application/pdf | en_ZA |
dc.identifier.uri | http://hdl.handle.net/10019.1/1988 | |
dc.language.iso | en | en_ZA |
dc.publisher | Stellenbosch : University of Stellenbosch | |
dc.rights.holder | University of Stellenbosch | |
dc.subject | Dissertations -- Electronic engineering | en |
dc.subject | Theses -- Electronic engineering | en |
dc.subject | Human-computer interaction | en |
dc.subject | User interfaces (Computer systems) | en |
dc.title | Human-computer interface using a web camera | en |
dc.type | Thesis |