Walking dynamics are symmetric (enough)

Date

2015-07-06

Author

Ankaralı, Mustafa Mert
Madhav, Manu S.
Long, Andrew
Bastian, Amy J.
Cowan, Noah J.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Many biological phenomena such as locomotion, circadian cycles and breathing are rhythmic in nature and can be modelled as rhythmic dynamical systems. Dynamical systems modelling often involves neglecting certain characteristics of a physical system as a modelling convenience. For example, human locomotion is frequently treated as symmetric about the sagittal plane. In this work, we test this assumption by examining human walking dynamics around the steady state (limit-cycle). Here, we adapt statistical cross-validation in order to examine whether there are statistically significant asymmetries and, even if so, test the consequences of assuming bilateral symmetry anyway. Indeed, we identify significant asymmetries in the dynamics of human walking, but nevertheless show that ignoring these asymmetries results in a more consistent and predictive model. In general, neglecting evident characteristics of a system can be more than a modelling convenience it can produce a better model.

Subject Keywords

Biotechnology, Biophysics, Biochemistry, Bioengineering, Biomaterials, Biomedical Engineering

URI

https://hdl.handle.net/11511/48527

Journal

JOURNAL OF THE ROYAL SOCIETY INTERFACE

DOI

https://doi.org/10.1098/rsif.2015.0209

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

M. M. Ankaralı, M. S. Madhav, A. Long, A. J. Bastian, and N. J. Cowan, “Walking dynamics are symmetric (enough),” JOURNAL OF THE ROYAL SOCIETY INTERFACE, pp. 0–0, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48527.