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.
This article is part of the series Advances in Intelligent Vision Systems: Methods and ApplicationsPart I.
Research Article Dynamic Hand Gesture Recognition Using the Skeleton of the Hand
1 University "Politehnica", LEU, Complex-Room B135A, 1-3 Liliu Maniu Boulevard, Bucharest, Romania
2 Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université de Savoie, Annecy Cedex 74016, France
EURASIP Journal on Advances in Signal Processing 2005, 2005:236190 doi:10.1155/ASP.2005.2101
The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2005/13/236190
| Received: | 10 February 2004 |
| Revisions received: | 2 December 2004 |
| Published: | 15 August 2005 |
© 2005 Ionescu et al.
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