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
Link To Document :
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