The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing

  • Ruben Coen Cagli
  • Paolo Coraggio
  • Paolo Napoletano
  • Giuseppe Boccignone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4729)


In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand movement generation, during the drawing task. Starting from some background assumptions suggested by eye-tracking human subjects, we formulate a Bayesian model of drawing activity. The resulting graphical model is shaped in the form of a Dynamic Bayesian Network that combines features of both the Input–Output Hidden Markov Model and the Coupled Hidden Markov Model, and provides an interesting insight on mechanisms for dynamic integration of visual and proprioceptive information.


Hide Markov Model Active Vision Dynamic Bayesian Network Proprioceptive Information Drawing Task 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ruben Coen Cagli
    • 1
  • Paolo Coraggio
    • 1
  • Paolo Napoletano
    • 2
  • Giuseppe Boccignone
    • 2
  1. 1.DSF, Robot Nursery Laboratory - Università di Napoli Federico II, via Cintia, NapoliItaly
  2. 2.Natural Computation Lab, DIIIE - Università di Salerno, via Ponte Don Melillo, 1 Fisciano (SA)Italy

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