Skip to Main content Skip to Navigation
New interface
Other publications

Bayesian Modelling of a Sensorimotor Loop: Application to Handwriting

Estelle Gilet 1, 2, * Julien Diard 3 Pierre Bessiere 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.
Document type :
Other publications
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/inria-00338733
Contributor : Estelle Gilet Connect in order to contact the contributor
Submitted on : Friday, November 14, 2008 - 3:10:12 PM
Last modification on : Wednesday, July 6, 2022 - 4:22:32 AM
Long-term archiving on: : Tuesday, October 9, 2012 - 3:25:16 PM

File

WorkshopNIPS_Gilet.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00338733, version 1

Citation

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

Share

Metrics

Record views

164

Files downloads

124