An appearance-based approach to gesture-recognition

  • Jérôme Martin
  • James L. Crowley
Session 10: Recognition & Reconstruction
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

This paper describes techniques for the design of a system able to interact with the user by visual recognition of hand gestures. The system is composed of three modules including tracking, posture classification and gesture recognition. A description of each module is given. In order to increase the robustness and the precision of the tracking, several complementary tracking processes are coupled. A classification process is presented for recognizing hand posture using distance in an eigenspace. The classification of hand posture leads to the gesture recognition by a set of finite state machines.

Keywords

Finite State Machine Hand Posture Gesture Recognition Hand Gesture Hand Gesture Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jérôme Martin
    • 1
  • James L. Crowley
    • 1
  1. 1.GRAVIR - IMAGGrenobleFrance

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