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A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application

Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene pr...

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Main Author: Chan , Lih Yang
Format: Thesis
Language:English
Published: 2009
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf
http://eprints.usm.my/41673/
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spelling my.usm.eprints.41673 http://eprints.usm.my/41673/ A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application Chan , Lih Yang TK1-9971 Electrical engineering. Electronics. Nuclear engineering Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene problem. But it faces challenges of usability in term of cost and environmental variation like lighting. This thesis proposes and implements hand gesture recognition methods in image browsing application, to allow users views pictures contactless from input device in real time. 2009-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf Chan , Lih Yang (2009) A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Chan , Lih Yang
A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
description Computer mouse has been an efficient input device. However, the mouse usage limits user’s freedom. Besides, the devices are easily contaminated with bacteria and spreading disease among users. The contactless vision-based hand gesture recognition is one of the solutions to the freedom and hygiene problem. But it faces challenges of usability in term of cost and environmental variation like lighting. This thesis proposes and implements hand gesture recognition methods in image browsing application, to allow users views pictures contactless from input device in real time.
format Thesis
author Chan , Lih Yang
author_facet Chan , Lih Yang
author_sort Chan , Lih Yang
title A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
title_short A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
title_full A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
title_fullStr A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
title_full_unstemmed A Vision-Based Human Hand Gesture Recognition Interface For Image Browsing Application
title_sort vision-based human hand gesture recognition interface for image browsing application
publishDate 2009
url http://eprints.usm.my/41673/1/CHAN_LIH_YANG.pdf
http://eprints.usm.my/41673/
_version_ 1643710288021684224
score 13.160551

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