F Huxham
Defining spatial parameters for non-linear walking
Huxham, F; Gong, J; Baker, RJ; Morris, M; Iansek, R
Authors
J Gong
RJ Baker
M Morris
R Iansek
Abstract
Current definitions of the spatial and temporal parameters of gait have been based on the premise that walking occurs in a straight line. When the direction of progression (DoP) is not consistent and walking is non-linear, these definitions do not provide meaningful information.
An alternative method based on the changing direction of each stride is presented. This method is easy to understand and use, and requires no expensive technology. A comparison of the spatial parameters of the footstep pattern during linear trials and trials incorporating a 608 turn was
performed, using output derived from the old and the new definitions. The two methods produced very different results. Spatial output from the old definitions was merely dictated by the change of direction. Output calculated relative to the changing stride direction however,
provided useful information about the footstep adjustments made for turning and how these would act to improve stability. This method of establishing spatial parameters during non-linear walking should form a useful tool for further investigation of functional locomotion.
Citation
Huxham, F., Gong, J., Baker, R., Morris, M., & Iansek, R. (2006). Defining spatial parameters for non-linear walking. Gait & Posture, 23(2), 159-163. https://doi.org/10.1016/j.gaitpost.2005.01.001
Journal Article Type | Article |
---|---|
Publication Date | Feb 1, 2006 |
Deposit Date | Jul 4, 2011 |
Journal | Gait & Posture |
Print ISSN | 0966-6362 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 23 |
Issue | 2 |
Pages | 159-163 |
DOI | https://doi.org/10.1016/j.gaitpost.2005.01.001 |
Keywords | Direction of progression, gait, spatiotemporal, locomotion, turning |
Publisher URL | http://dx.doi.org/10.1016/j.gaitpost.2005.01.001 |
You might also like
Using the spring-mass model for running : force-length curves and foot-strike patterns
(2020)
Journal Article
Muscle force estimation in clinical gait analysis using AnyBody and OpenSim
(2019)
Journal Article
Is there a minimum complexity required for the biomechanical modelling of running?
(2018)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search