DocumentCode :
1243777
Title :
Visual capture and understanding of hand pointing actions in a 3-D environment
Author :
Colombo, Carlo ; Bimbo, Alberto Del ; Valli, Alessandro
Author_Institution :
Dipt. di Sistemi e Informatica, Univ. di Firenze, Italy
Volume :
33
Issue :
4
fYear :
2003
Firstpage :
677
Lastpage :
686
Abstract :
We present a nonintrusive system based on computer vision for human-computer interaction in three-dimensional (3-D) environments controlled by hand pointing gestures. Users are allowed to walk around in a room and manipulate information displayed on its walls by using their own hands as pointing devices. Once captured and tracked in real-time using stereo vision, hand pointing gestures are remapped onto the current point of interest, thus reproducing in an advanced interaction scenario the "drag and click" behavior of traditional mice. The system, called PointAt (patent pending), enjoys a careful modeling of both user and optical subsystem, and visual algorithms for self-calibration and adaptation to both user peculiarities and environmental changes. The concluding sections provide an insight into system characteristics, performance, and relevance for real applications.
Keywords :
computer vision; gesture recognition; stereo image processing; PointAt; advanced interaction scenario; computer vision; drag and click behavior; hand pointing; hand pointing gestures; human-computer interaction; optical subsystem; real-time tracking; real-time using stereo vision; self-calibration; visual algorithms; Application software; Biomedical monitoring; Computer vision; Control systems; Displays; Graphics; Mice; Optical feedback; Stereo vision; User interfaces;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2003.814281
Filename :
1213560
Link To Document :
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