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Human-computer interface using a web camera
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867613764978737152 |
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| access_status_str | Open Access |
| author | Ellis, Loftie |
| author2 | Herbst, B. M. |
| author_browse | Ellis, Loftie Herbst, B. M. |
| author_facet | Herbst, B. M. Ellis, Loftie |
| author_sort | Ellis, Loftie |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/1988 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:41:20.497Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/1988 Human-computer interface using a web camera Ellis, Loftie Herbst, B. M. Du Preez, J. A. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Dissertations -- Electronic engineering Theses -- Electronic engineering Human-computer interaction User interfaces (Computer systems) Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2007. 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. 2008-03-26T10:31:11Z 2010-06-01T08:38:10Z 2008-03-26T10:31:11Z 2010-06-01T08:38:10Z 2007-12 Thesis http://hdl.handle.net/10019.1/1988 en University of Stellenbosch 3059400 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Dissertations -- Electronic engineering Theses -- Electronic engineering Human-computer interaction User interfaces (Computer systems) Ellis, Loftie Human-computer interface using a web camera |
| title | Human-computer interface using a web camera |
| title_full | Human-computer interface using a web camera |
| title_fullStr | Human-computer interface using a web camera |
| title_full_unstemmed | Human-computer interface using a web camera |
| title_short | Human-computer interface using a web camera |
| title_sort | human computer interface using a web camera |
| topic | Dissertations -- Electronic engineering Theses -- Electronic engineering Human-computer interaction User interfaces (Computer systems) |
| url | http://hdl.handle.net/10019.1/1988 |
| work_keys_str_mv | AT ellisloftie humancomputerinterfaceusingawebcamera |