Skip to main content

Dynamic Hand Gesture Recognition Using the Skeleton of the Hand

Abstract

This paper discusses the use of the computer vision in the interpretation of human gestures. Hand gestures would be an intuitive and ideal way of exchanging information with other people in a virtual space, guiding some robots to perform certain tasks in a hostile environment, or interacting with computers. Hand gestures can be divided into two main categories: static gestures and dynamic gestures. In this paper, a novel dynamic hand gesture recognition technique is proposed. It is based on the 2D skeleton representation of the hand. For each gesture, the hand skeletons of each posture are superposed providing a single image which is the dynamic signature of the gesture. The recognition is performed by comparing this signature with the ones from a gesture alphabet, using Baddeley's distance as a measure of dissimilarities between model parameters.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Bogdan Ionescu.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Ionescu, B., Coquin, D., Lambert, P. et al. Dynamic Hand Gesture Recognition Using the Skeleton of the Hand. EURASIP J. Adv. Signal Process. 2005, 236190 (2005). https://doi.org/10.1155/ASP.2005.2101

Download citation

  • Received:

  • Revised:

  • Published:

  • DOI: https://doi.org/10.1155/ASP.2005.2101

Keywords and phrases:

  • hand gesture recognition
  • skeleton
  • orientation histogram
  • Baddeley distance