@inproceedings{960218bda8f44f9f8529829602ada37c,
title = "Vision-based gesture recognition: A review",
abstract = "The use of gesture as a natural interface serves as a motivat- ing 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 sur- vey on recent vision-based gesture recognition approaches is given in this paper. We shall review methods of static hand posture and temporal ges- ture recognition. Several application systems of gesture recognition are also described in this paper. We conclude with some thoughts about future research directions.",
author = "Ying Wu and Huang, {Thomas S.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 3rd International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction, GW 1999 ; Conference date: 17-03-1999 Through 19-03-1999",
year = "1999",
doi = "10.1007/3-540-46616-9_10",
language = "English (US)",
isbn = "3540669353",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "103--115",
editor = "Annelies Braffort and Rachid Gherbi and Sylvie Gibet and Daniel Teil and James Richardson",
booktitle = "Gesture-Based Communication in Human-Computer Interaction - International Gesture Workshop, GW 1999, Proceedings",
}