Predictive modelling of human walking over a complete gait cycle

L Ren, R K Jones, D Howard

    Research output: Contribution to journalArticlepeer-review

    139 Citations (Scopus)

    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. (C) 2006 Elsevier Ltd. All rights reserved
    Original languageEnglish
    Pages (from-to)1567 - 1574
    Number of pages8
    JournalJournal of Biomechanics
    Volume40
    Issue number7
    DOIs
    Publication statusPublished - 2007

    Fingerprint

    Dive into the research topics of 'Predictive modelling of human walking over a complete gait cycle'. Together they form a unique fingerprint.

    Cite this