Bayesian Modelling of a Sensorimotor Loop: Application to Handwriting

نویسندگان

  • Estelle GILET
  • Julien Diard
  • Pierre Bessière
چکیده

This paper concerns the Bayesian modelling of a sensorimotor loop. We present a preliminary model of handwriting, that provides both production of letters and their recognition. It is structured around an abstract internal representation of letters, which acts as a pivot between motor and sensors models. The representation of letters is independent of the effector usually used to perform the movement. We show how our model allows to solve a variety of tasks, like letter reading, recognizing the writer, and letter writing (with different effectors). We show how the joint modelling of the sensory and motor systems allows to solve reading tasks in the case of noisy inputs by internal simulation of movements.

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تاریخ انتشار 2008