DocumentCode
1494220
Title
Hand modeling, analysis and recognition
Author
Wu, Ying ; Huang, Thomas S.
Volume
18
Issue
3
fYear
2001
fDate
5/1/2001 12:00:00 AM
Firstpage
51
Lastpage
60
Abstract
Analyzing hand gestures is a comprehensive task involving motion modeling, motion analysis, pattern recognition, machine learning and even psycholinguistic studies. A comprehensive review of various techniques in hand modeling, analysis, and recognition is needed. Due to the multidisciplinary nature of this research topic, we cannot include all the works in the literature. Rather than function as a thorough review paper, this article serves as a tutorial to this research topic. We study 3-D hand models, various articulated motion analysis methods, and gesture recognition techniques employed in current research. We conclude with some thoughts about future research directions. We also include some of our own research results, some of which are shown as examples
Keywords
gesture recognition; image motion analysis; learning (artificial intelligence); pattern recognition; virtual reality; 3D hand models; 3D virtual environment; articulated motion analysis methods; gesture recognition; hand analysis; hand modeling; hand recognition; machine learning; motion analysis; motion modeling; pattern recognition; psycholinguistic studies; research; tutorial; Fingers; Handicapped aids; Human computer interaction; Joining processes; Keyboards; Magnetic devices; Mice; Navigation; User interfaces; Virtual environment;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/79.924889
Filename
924889
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