HAND GESTURE TRACKING FOR WEARABLE COMPUTING SYSTEMS

Xiujuan Chai, Kongqiao Wang, Luosi Wei, Hao Wang

2008

Abstract

Wearable computing is a hot research field in recent years. For the important role in wearable computing systems, hand gesture tracking attracts many researchers’ interests. This paper proposes a simple but efficient temporal differencing based hand motion tracking scheme which is used to build an augmented drumming system. In our method, the accurate motion information is gotten by a fine-coarse-fine strategy. Once getting the motion region candidates, a skin detector based on skin colour histogram is used to determine which region is our concerned hand. In the tracking procedure, motion direction constraint is also adopted in order to get a robust result. Different with the traditional skin detection for the whole image frame, combining with the motion region detection, the hand detection is no longer effected by the skin-like background. Experimental results show that our presented hand gesture tracking is robust and fast. We also adopt it into an augmented drumming system to show the good performance and powerful potential of our method in wearable computing systems.

Paper Citation

in Harvard Style

Chai X., Wang K., Wei L. and Wang H. (2008). HAND GESTURE TRACKING FOR WEARABLE COMPUTING SYSTEMS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 651-654. DOI: 10.5220/0001080306510654

in Bibtex Style

@conference{visapp08,
author={Xiujuan Chai and Kongqiao Wang and Luosi Wei and Hao Wang},
title={HAND GESTURE TRACKING FOR WEARABLE COMPUTING SYSTEMS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={651-654},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001080306510654},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - HAND GESTURE TRACKING FOR WEARABLE COMPUTING SYSTEMS
SN - 978-989-8111-21-0
AU - Chai X.
AU - Wang K.
AU - Wei L.
AU - Wang H.
PY - 2008
SP - 651
EP - 654
DO - 10.5220/0001080306510654