Bayesian Modelling of a Sensorimotor Loop: Application to Handwriting

Estelle Gilet (1, 2) , Julien Diard (3) , Pierre Bessiere (1, 2)

1 LIG - Laboratoire d'Informatique de Grenoble
2 E-MOTION - Geometry and Probability for Motion and Action
3 LPNC - Laboratoire de Psychologie et NeuroCognition

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.

Domaines: Neurosciences [q-bio.NC]

Estelle Gilet, Julien Diard, Pierre Bessiere. Bayesian Modelling of a Sensorimotor Loop: Application to Handwriting. 2008. ⟨inria-00338733⟩