Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition
Maurer, A.; Hersch, M.; Billard, A.
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.

Details

Title Extended Hopfield Network for Sequence Learning: Application to Gesture Recognition
Author(s) Maurer, A. ; Hersch, M. ; Billard, A.
Published in Artificial Neural Networks: Biological Inspirations – ICANN 2005
Pages 493–498
Conference ICANN'2005, 2005-09-05
Date 2005
DOI https://doi.org/10.1007/11550822_77
Other identifier(s) DAR: 7397
Additional link URL
Laboratories LASA
Record Appears in Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LASA - Learning algorithms and systems Laboratory
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date 2005-11-16

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