Extended hopfield network for sequence learning: application to gesture recognition

  • Authors:
  • André Maurer;Micha Hersch;Aude G. Billard

  • Affiliations:
  • Autonomous Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland;Autonomous Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland;Autonomous Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland

  • Venue:
  • ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
  • Year:
  • 2005

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Abstract

In this paper, we extend the Hopfield Associative Memory for storing multiple sequences of varying duration. We apply the model for learning, recognizing and encoding a set of human gestures. We measure systematically the performance of the model against noise.