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Bayesian modelling of sensorimotor systems: Application to handwriting

Estelle Gilet 1, 2, * Julien Diard 3 Pierre Bessiére 1, 2 
Abstract : This paper concerns Bayesian modeling of a sensorimotor system. We present a preliminary model of handwriting, in which the representation of letter is abstract, and is a pivot between motor and sensor models. We show how our model allows to solve a variety of tasks, like letter reading, recognizing the writer, and letter writing.
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https://hal.archives-ouvertes.fr/hal-00331586
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Submitted on : Friday, October 17, 2008 - 10:45:19 AM
Last modification on : Wednesday, July 6, 2022 - 4:14:28 AM
Long-term archiving on: : Tuesday, October 9, 2012 - 1:56:49 PM

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  • HAL Id : hal-00331586, version 1

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Estelle Gilet, Julien Diard, Pierre Bessiére. Bayesian modelling of sensorimotor systems: Application to handwriting. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331586⟩

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