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Neurocomputing aspects in modelling cursive handwriting

P Morasso1, V Sanguineti

  • 1University of Genoa, Italy.

Acta Psychologica
|March 1, 1993
PubMed
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This study presents a new computational model for planning cursive handwriting. It simulates motor control processes in the posterior parietal cortex using self-organization and dynamic integration.

Area of Science:

  • Computational Neuroscience
  • Motor Control
  • Robotics

Background:

  • Cursive handwriting involves complex motor control processes.
  • The posterior parietal cortex is hypothesized to play a role in motor planning.

Purpose of the Study:

  • To describe a distributed modeling framework for motor control in cursive handwriting.
  • To simulate the planning of handwriting movements.

Main Methods:

  • A computational model combining self-organization, relaxation dynamics, and non-linear integration.
  • Modeling the hypothetical functions of the posterior parietal cortex.

Main Results:

  • The model builds robust maps of motor spaces.
  • It incorporates task constraints dynamically.

Related Experiment Videos

  • It achieves smooth integration between via-points for fluid handwriting.

    • Conclusions:

    • The proposed framework offers a novel approach to understanding handwriting motor control.
    • It integrates different computational paradigms for realistic simulation.
    • It provides insights into the neural mechanisms of motor planning.