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3D Biomechanical Simulation of Human Walking: Empirical Data and Inverse Dynamics Integration

EasyChair Preprint 13393, version 2

Versions: 12history
4 pagesDate: June 11, 2024

Abstract

This study leverages 3D human modeling and gait analysis using multibody dynamics to enhance the understanding of human locomotion. By integrating detailed biomechanical models with computational methods, it provides a comprehensive analysis of gait patterns, overcoming traditional limitations. The model segments the body into various rigid parts, connected by spherical joints, to simulate realistic movements. Accurate foot-ground contact dynamics are modeled using a Hertzian-based normal contact force with dissipated damping and a modified Coulomb friction model, with a CT scan of a complete foot improving precision. This advanced approach significantly enhances the fidelity of human movement simulation and offers potential for clinical applications in diagnosing and treating gait disorders.

Keyphrases: 3D human modeling, Healthcare Innovation, gait analysis, inverse dynamics

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13393,
  author    = {Harjinder Singh and Hamid M. Lankarani},
  title     = {3D Biomechanical Simulation of Human Walking: Empirical Data and Inverse Dynamics Integration},
  howpublished = {EasyChair Preprint 13393},
  year      = {EasyChair, 2024}}
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