Analyze Diet
Journal of biomechanics1998; 31(5); 463-468; doi: 10.1016/s0021-9290(98)00038-4

A model equation for the prediction of mechanical internal work of terrestrial locomotion.

Abstract: By refining a previously published model, a simple equation for the estimation of the mechanical internal work during locomotion is presented. The only input variables are the progression speed, the stride frequency and the duty factor, i.e. the fraction of the stride duration at which a foot is in contact with the ground. The inclusion of this last variable, easily measurable, allows to obtain a single equation for both walking and running. The model predictions have been compared with the mechanical internal work experimentally obtained on humans in several conditions: speeds (range 0.8-3.3 m s(-1)), gaits (walking and running) and gradients (+/-15%). The close match between the two indicates that the model equation can be used whenever a direct measurement of the mechanical internal work is unavailable.
Publication Date: 1998-09-04 PubMed ID: 9727344DOI: 10.1016/s0021-9290(98)00038-4Google 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.
  • Comparative Study
  • Journal Article

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.

The research article presents an improved model for estimating the mechanical internal work during terrestrial locomotion, which is valid for both walking and running. The model uses input variables like progression speed, stride frequency, and duty factor, and its predictions match closely with experimental human data under different conditions.

Introduction

  • The research paper focuses on developing an enhanced model for predicting the mechanical internal work involved in terrestrial locomotion – the physical effort exerted by humans or other biological entities while walking or running.
  • This model refines an existing one and aims to make accurate predictions using key input variables like progression speed (how fast the movement is), stride frequency (how often steps are taken), and duty factor (the proportion of time a foot stays in contact with the ground during a stride).

Methodology

  • The developed model is an equation that integrates these input variables to calculate the internal work.
  • The inclusion of the duty factor as one of the input variables is significant because it allows this model to be applied for both walking and running scenarios, instead of having separate equations for each. This factor can be easily measured with modern equipment.

Results and Validation

  • To verify the accuracy of the model’s predictions, they were compared against the mechanical internal work measured experimentally on humans under various conditions.
  • These conditions included different speeds (ranging from 0.8 to 3.3 m/s), different types of movement (walking and running), and different gradients (+/- 15%), thus offering a broad spectrum for validation.
  • Results indicated a close match between the model’s predictions and the real, measured mechanical work, indicating the model’s high accuracy and applicability in practical scenarios where direct measurement may not be accessible or feasible.

Conclusion

  • Consequently, the paper presents an improved equation for calculating the mechanical internal work during terrestrial locomotion, applicable for both walking and running scenarios using the same equation.
  • Given its validated accuracy, this model can be a useful tool in various fields, including biomechanics, sports science, human and animal locomotion studies, and even robotic engineering.

Cite This Article

APA
Minetti AE. (1998). A model equation for the prediction of mechanical internal work of terrestrial locomotion. J Biomech, 31(5), 463-468. https://doi.org/10.1016/s0021-9290(98)00038-4

Publication

ISSN: 0021-9290
NlmUniqueID: 0157375
Country: United States
Language: English
Volume: 31
Issue: 5
Pages: 463-468

Researcher Affiliations

Minetti, A E
  • Reparto di Fisiologia, Istituto Tecnologie Biomediche Avanzate, C.N.R., Segrate MI, Italy. minetti@itba.mi.cnr.it

MeSH Terms

  • Algorithms
  • Animals
  • Foot / physiology
  • Forecasting
  • Gait / physiology
  • Horses
  • Humans
  • Locomotion / physiology
  • Male
  • Models, Biological
  • Motion Pictures
  • Running / physiology
  • Stress, Mechanical
  • Walking / physiology
  • Work / physiology

Citations

This article has been cited 36 times.