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Open Access

Dynamic Hand Gesture Recognition Using the Skeleton of the Hand

  • Bogdan Ionescu1Email author,
  • Didier Coquin2,
  • Patrick Lambert2 and
  • Vasile Buzuloiu1
EURASIP Journal on Advances in Signal Processing20052005:236190

Received: 10 February 2004

Published: 15 August 2005


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.

Keywords and phrases:

hand gesture recognitionskeletonorientation histogramBaddeley distance

Authors’ Affiliations

University "Politehnica", LEU, Bucharest, Romania
Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université de Savoie, Annecy Cedex, France


© Ionescu et al. 2005