Multi-body modelling and simulation of animal locomotion.
Abstract: Multi-body models of musculoskeletal systems can be used to determine internal forces from measured external forces and movements ('inverse dynamics') and to perform simulations of movements using muscle forces or activations as input ('direct dynamics'). Examples of 'direct' simulations of movements in the horse are presented. With a model of the equine hindlimb, the function of the 'passive stay apparatus' could be explained. A model of the forelimb was used to determine force distributions in the digital flexor tendons, and to experiment with various methods to change the force distribution. Simulations of this type are valuable tools in basic research on functional anatomy and aetiology of injuries. An application with much future potential is the optimization of sports performances using simulation methods.
Publication Date: 1993-01-01 PubMed ID: 8470472DOI: 10.1159/000147428Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
This research article explores the use of multi-body models to understand and simulate animal locomotion, with a primary focus on horses. These models help explain the internal mechanisms at work during movement, which can aid in injury prevention and optimizing sports performances.
Objective of the Research
- The primary goal of the research is to demonstrate the function and benefits of multi-body models of musculoskeletal systems in understanding animal locomotion. In this context, animal locomotion pertains to the movement of horses.
Methodology
- Through the creation and deployment of multi-body models of the musculoskeletal systems, the mechanism of action of internal forces, in response to external forces and movements, was studied (‘inverse dynamics’).
- These models were also used to simulate movements in horses using muscle forces or activations as the point of focus (‘direct dynamics’).
- Two key examples were presented; a model of the horse’s hindlimb to explain the function of the ‘passive stay apparatus’, and a forelimb model to determine force distribution within the digital flexor tendons.
- Within the forelimb model, various methods were experimented with to test how they could alter the force distribution.
Findings
- The researchers found that these types of simulations are valuable tools in the basic research on functional anatomy and the origin (aetiology) of injuries in animals. By understanding how the forces are distributed and how the muscles act during movement, it could assist in the development of injury prevention methods.
Future Applications
- A key future application of this research is the optimization of sports performances. By understanding animal locomotion on a granular level, it could provide insights into how to optimize performance, especially in equine sports where the efficiency, speed, and strength of horses are vital to performance.
Cite This Article
APA
van den Bogert AJ, Schamhardt HC.
(1993).
Multi-body modelling and simulation of animal locomotion.
Acta Anat (Basel), 146(2-3), 95-102.
https://doi.org/10.1159/000147428 Publication
Researcher Affiliations
- Human Performance Laboratory, Faculty of Physical Education, University of Calgary, Alta., Canada.
MeSH Terms
- Animals
- Computer Simulation
- Horses
- Locomotion / physiology
- Models, Biological
- Sports Medicine / methods
Citations
This article has been cited 3 times.- Cleather DJ, Bull AM. The development of a segment-based musculoskeletal model of the lower limb: introducing FreeBody. R Soc Open Sci 2015 Jun;2(6):140449.
- van den Bogert AJ, Blana D, Heinrich D. Implicit methods for efficient musculoskeletal simulation and optimal control. Procedia IUTAM 2011 Jan 1;2(2011):297-316.
- van Bijlert PA, Geijtenbeek T, Smit IH, Schulp AS, Bates KT. Muscle-Driven Predictive Physics Simulations of Quadrupedal Locomotion in the Horse. Integr Comp Biol 2024 Sep 27;64(3):694-714.
Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists