Heuristic and Voxel-Based Signature for Hand Posture Recognition Using a Range Camera

  • Hervé Lahamy
  • Derek Lichti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7325)


To improve the interaction between humans and machines, hand gestures have been a studied alternative for many years. Most of the literature in this area has considered 2D images which cannot provide a full description of the hand gestures due mainly to self occlusion. The objective of the current study is to increase the number of gestures recognizable in real-time while using a 3D signature. An heuristic and voxel-based signature has been designed and implemented. To evaluate the latter, an exhaustive performance analysis including comparison with ground truth and with other well-known features and classifiers was conducted. This study has demonstrated the efficiency of the proposed 3D hand posture signature which leads to 84% recognition rate after testing around 30000 samples of 18 gestures in real-time.


Hand posture signature Gesture recognition range camera realtime application 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hervé Lahamy
    • 1
  • Derek Lichti
    • 1
  1. 1.Department of Geomatics EngineeringUniversity of CalgaryCalgaryCanada

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