Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Looking at handwriting generation from a velocity control perspective

R Plamondon1

  • 1Département de Génie Electrique, Ecole Polytechnique de Montréal, QC, Canada.

Acta Psychologica
|March 1, 1993
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sigma-Lognormal Modeling of Speech.

Cognitive computation·2021
Same author

Studying the variability of handwriting patterns using the Kinematic Theory.

Human movement science·2009
Same author

Extraction of signatures from check background based on a filiformity criterion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

The segmentation of cursive handwriting: an approach based on off-line recovery of the motor-temporal information.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same author

Human identification of letters in mixed-script handwriting: an upper bound on recognition rates.

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2008
Same author

Stability analysis of bidirectional associative memory networks with time delays.

IEEE transactions on neural networks·2008

This study models asymmetric bell-shaped velocity profiles in handwriting and rapid movements using the central limit theorem. The findings show these profiles follow log-normal curves, offering insights into movement analysis.

Area of Science:

  • Neuroscience
  • Biomechanics
  • Computational modeling

Background:

  • Handwriting and rapid movements often exhibit asymmetric bell-shaped velocity profiles.
  • Understanding the underlying mechanisms of these profiles is crucial for analyzing motor control.

Purpose of the Study:

  • To present a novel model explaining the origin of asymmetric bell-shaped velocity profiles.
  • To mathematically describe these velocity profiles using established theorems.

Main Methods:

  • Application of the central limit theorem to model neural and muscular network convergence.
  • Analysis-by-synthesis experiment to validate the proposed model and its mathematical implementation.

Main Results:

  • Velocity profiles in handwriting and rapid movements can be accurately described by log-normal curves.

Related Experiment Videos

  • The model successfully explains the origin of asymmetric bell-shaped velocity profiles.

    • Conclusions:

    • The log-normal curve provides a mathematical framework for understanding movement velocity profiles.
    • This approach offers practical applications in defining strokes, clarifying fluency, and segmenting complex movements like cursive script.