Paper Title:
Vision-Based Hand Tracking and Gesture Recognition for Augmented Assembly System
  Abstract

A real time hand tracking and gesture recognition approach which can deal with dynamic backgrounds is presented. This approach is based on computer vision. It segments hand from dynamic backgrounds using the color-based and appearance-based methods. Then, it locates the hand according to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand. In comparison with the traditional approaches, it provides a good real time performance, is easy to realize, does not require a stationary camera and is not sensitive with intensity different because its gesture recognition does not depend on the templates. Moreover, an augmented assembly system using the presented approach is described. The experiment result of the augmented assembly system demonstrated the effectiveness and robustness of our approach.

  Info
Periodical
Key Engineering Materials (Volumes 392-394)
Edited by
Guanglin Wang, Huifeng Wang and Jun Liu
Pages
1030-1036
DOI
10.4028/www.scientific.net/KEM.392-394.1030
Citation
Y. M. Wu, H. W. He, J. Sun, T. Ru, D. T. Zheng, "Vision-Based Hand Tracking and Gesture Recognition for Augmented Assembly System", Key Engineering Materials, Vols. 392-394, pp. 1030-1036, 2009
Online since
October 2008
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Price
$32.00
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