DocumentCode
477887
Title
Multiple-Camera-Based Gesture Recognition by MDA Method
Author
Tsai, Cheng-Yueh ; Lee, Yung-hui
Author_Institution
Dept. of Marketing & Distrib. Manage., Far East Univ., Tainan
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
599
Lastpage
603
Abstract
In the present day, human-computer interaction is more important. This study proposes a new ideal for hand recognition model by combining VICON and multiple discriminant analysis (MDA). After building and testing, this model showed the recognition rates are 98.60% (by train set) and 82.64% (by test set) respectively. The average recognition rate is 90.62%. Besides, this research discussion the effect of subjects and eigen vectors on recognition rate of model.
Keywords
gesture recognition; human computer interaction; image sensors; multiple discriminant analysis; multiple-camera-based gesture recognition; test set; train set; Cameras; Conference management; Filtering; Fingers; Handicapped aids; Keyboards; Knowledge management; Marketing management; Technology management; Testing; MDA; Multiple-camera; gesture recongiton; hand gesture;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location
Shandong
Print_ISBN
978-0-7695-3305-6
Type
conf
DOI
10.1109/FSKD.2008.137
Filename
4666316
Link To Document