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Published on: August 18, 2023
Numerical instability of Hill-type muscle models.
Sang-Hoon Yeo1, Jasper Verheul1,2, Walter Herzog3
1School of Sport, Exercise & Rehabilitation Sciences, University of Birmingham, Birmingham, UK.
Hill-type muscle models, widely used in simulations, can suffer from numerical instability. This study discusses their theoretical limitations and practical computational problems in biomechanics and animation.
Area of Science:
- Biomechanics
- Computational Biology
- Computer Animation
Background:
- Hill-type muscle models are computationally efficient for large-scale simulations.
- Despite their widespread use, their theoretical limitations are often overlooked.
Purpose of the Study:
- To discuss numerical instability issues in Hill-type muscle models.
- To highlight theoretical limitations and practical computational problems.
- To review current ad hoc solutions in biomechanics and animation.
Main Methods:
- Revisiting fundamental assumptions of Hill-type models.
- Conducting conceptual simulation studies to demonstrate instability.
- Reviewing existing literature on handling numerical issues.
Main Results:
- Hill-type models possess theoretical limitations in force-length and force-velocity relationships.
- Numerical instabilities can manifest as practical computational failures.
- Current methods for addressing these issues are largely ad hoc.
Conclusions:
- Numerical instability in Hill-type muscle models is a significant issue that requires attention.
- Further research is needed to develop robust methods for handling these instabilities.
- Improved models could enhance the reliability of musculoskeletal simulations and animations.
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