3D biomechanical simulation of human walking: Empirical data and inverse dynamics integration
Singh, Harjinder Lankarani, Hamid M.
Singh, Harjinder
Lankarani, Hamid M.
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2024-05-21
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Conference paper
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Keywords
3D human modeling,Healthcare innovation,Gait analysis,Inverse dynamics
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Citation
Singh, H., & Lankarani, H. M. (2024). 3D biomechanical simulation of human walking: Empirical data and inverse dynamics integration. The 7th International Conference on Multibody SystemDynamics. https://easychair.org/publications/preprint/W8sp
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.
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Location: The 7th International Conference on Multibody SystemDynamics, June 9-13, 2024, Madison, WI, USA
EasyChair Preprint 13393, version 1
EasyChair Preprint 13393, version 1
Publisher
The 7th International Conference on Multibody SystemDynamics