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Related Experiment Videos

A theory for cursive handwriting based on the minimization principle

Y Wada1, M Kawato

  • 1ATR Human Information Processing Research Laboratories, Soraku-gun, Kyoto, Japan.

Biological Cybernetics
|June 1, 1995
PubMed
Summary
This summary is machine-generated.

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Model-based attenuation of movement artifacts in fMRI.

Journal of neuroscience methods·2010

We developed a new theory for trajectory planning and control, inspired by human handwriting. This computational model accurately predicts movement trajectories using a novel via-point estimation algorithm.

Area of Science:

  • Robotics and Control Systems
  • Computational Neuroscience
  • Biomechanical Engineering

Background:

  • Generating smooth, continuous movements like handwriting is complex.
  • Existing models often lack detailed computational and hardware explanations.
  • Neural network approaches show promise but require refinement for complex trajectories.

Purpose of the Study:

  • To propose a unified trajectory planning and control theory for continuous movements.
  • To provide explanations at computational, algorithmic, representational, and hardware levels.
  • To validate the theory using human handwriting data.

Main Methods:

  • Utilizing a forward-inverse-relaxation neural network for hardware implementation.
  • Applying the minimum torque-change criterion for computational optimization.

Related Experiment Videos

  • Representing trajectory constraints as via-points extracted from handwritten characters.
  • Developing and testing a via-point estimation algorithm through iterative character formation and extraction.

    • Main Results:

    • The via-point estimation algorithm successfully identified targets for single via-point movements.
    • Generated trajectories demonstrated good quantitative agreement with human movement data.
    • The model provides a comprehensive framework from computation to hardware.

    Conclusions:

    • The proposed theory offers a robust framework for understanding and generating continuous movements.
    • The minimum torque-change criterion and via-point representation are effective.
    • The model shows significant potential for applications in robotics and human-computer interaction.