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Virtual Mouse¡GVision-Based Gesture Recognition

The thesis describes a method for human-computer interaction through vision-based gesture recognition and hand tracking, which consists of five phases: image grabbing, image segmentation, feature extraction, gesture recognition, and system mouse controlling. Unlike most of previous works, our method recognizes hand with just one camera and requires no color markers or mechanical gloves. The primary work of the thesis is improving the accuracy and speed of the gesture recognition. Further, the gesture commands will be used to replace the mouse interface on a standard personal computer to control application software in a more intuitive manner.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0701103-120712
Date01 July 2003
CreatorsChen, Chih-Yu
ContributorsYun-Lung Chang, Chungnan Lee, John Y. Chiang, Jung-jae Chao
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701103-120712
Rightsunrestricted, Copyright information available at source archive

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