Y. Wu, and T. Huang. Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction, page 103--115. London, UK, Springer-Verlag, (1999)
Abstract
The use of gesture as a natural interface serves as a motivating force for research in modeling, analyzing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal gesture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.
%0 Conference Paper
%1 Wu:1999:VGR:647591.728702
%A Wu, Ying
%A Huang, Thomas S.
%B Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
%C London, UK
%D 1999
%I Springer-Verlag
%K gesture recognition review vision
%P 103--115
%T Vision-Based Gesture Recognition: A Review
%U http://portal.acm.org/citation.cfm?id=647591.728702
%X The use of gesture as a natural interface serves as a motivating force for research in modeling, analyzing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal gesture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.
%@ 3-540-66935-3
@inproceedings{Wu:1999:VGR:647591.728702,
abstract = {The use of gesture as a natural interface serves as a motivating force for research in modeling, analyzing and recognition of gestures. In particular, human computer intelligent interaction needs vision-based gesture recognition, which involves many interdisciplinary studies. A survey on recent vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal gesture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.},
acmid = {728702},
added-at = {2011-02-22T16:43:26.000+0100},
address = {London, UK},
author = {Wu, Ying and Huang, Thomas S.},
biburl = {https://www.bibsonomy.org/bibtex/2f987b61470508a3a44463e747f02049f/kgreff},
booktitle = {Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction},
description = {Vision-Based Gesture Recognition},
interhash = {652565799e095cfb6b5afcb06a15871e},
intrahash = {f987b61470508a3a44463e747f02049f},
isbn = {3-540-66935-3},
keywords = {gesture recognition review vision},
numpages = {13},
pages = {103--115},
publisher = {Springer-Verlag},
series = {GW '99},
timestamp = {2011-02-22T16:43:26.000+0100},
title = {Vision-Based Gesture Recognition: A Review},
url = {http://portal.acm.org/citation.cfm?id=647591.728702},
year = 1999
}