Skip to the content

Predictive modelling of human walking over a complete gait cycle

Ren, L, Jones, RK and Howard, D 2007, 'Predictive modelling of human walking over a complete gait cycle' , Journal of Biomechanics, 40 (7) , pp. 1567-1574.

[img]
Preview
PDF - Accepted Version
Download (600kB) | Preview
    [img] PDF - Published Version
    Restricted to Repository staff only

    Download (532kB)

      Abstract

      An inverse dynamics multi-segment model of the body was combined with optimisation techniques to simulate normal walking in the sagittal plane on level ground. Walking is formulated as an optimal motor task subject to multiple constraints with minimisation of mechanical energy expenditure over a complete gait cycle being the performance criterion. All segmental motions and ground reactions were predicted from only three simple gait descriptors (inputs): walking velocity, cycle period and double stance duration. Quantitative comparisons of the model predictions with gait measurements show that the model reproduced the significant characteristics of normal gait in the sagittal plane. The simulation results suggest that minimising energy expenditure is a primary control objective in normal walking. However, there is also some evidence for the existence of multiple concurrent performance objectives. Keywords: Gait prediction; Inverse dynamics; Optimisation; Optimal motor task

      Item Type: Article
      Uncontrolled Keywords: Gait prediction, inverse dynamics, optimisation, optimal motor task
      Themes: Subjects / Themes > R Medicine > R Medicine (General)
      Health and Wellbeing
      Schools: Colleges and Schools > College of Health & Social Care
      Colleges and Schools > College of Science & Technology
      Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > CASE Control & Systems Engineering Research Centre
      Colleges and Schools > College of Health & Social Care > School of Health Sciences > Centre for Health Sciences Research
      Colleges and Schools > College of Science & Technology > School of Environment and Life Sciences
      Colleges and Schools > College of Health & Social Care > School of Health Sciences
      Journal or Publication Title: Journal of Biomechanics
      Publisher: Elsevier
      Refereed: Yes
      ISSN: 00219290
      Depositing User: H Kenna
      Date Deposited: 09 Aug 2007 13:08
      Last Modified: 20 Aug 2013 16:46
      URI: http://usir.salford.ac.uk/id/eprint/210

      Document Downloads

      More statistics for this item...

      Actions (login required)

      Edit record (repository staff only)