A1 Journal article (refereed)
Estimating the mechanical cost of transport in human walking with a simple kinematic data-driven mechanical model (2024)

Katwal, P., Jaiswal, S., Jiang, D., Pyrhönen, L., Tuomisto, J., Rantalainen, T., Schwab, A. L., & Mikkola, A. (2024). Estimating the mechanical cost of transport in human walking with a simple kinematic data-driven mechanical model. PLoS ONE, 19(4), Article e0301706. https://doi.org/10.1371/journal.pone.0301706

JYU authors or editors

Publication details

All authors or editors: Katwal, Parvat; Jaiswal, Suraj; Jiang, Dezhi; Pyrhönen, Lauri; Tuomisto, Jenni; Rantalainen, Timo; Schwab, Arend L.; Mikkola, Aki

Journal or series: PLoS ONE

eISSN: 1932-6203

Publication year: 2024

Publication date: 16/04/2024

Volume: 19

Issue number: 4

Article number:  e0301706

Publisher: Public Library of Science

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1371/journal.pone.0301706

Research data link: https://doi.org/10.6084/m9.figshare.25316269.v1

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/94376

Abstract

This work utilizes a simplified, streamlined approach to study the mechanical cost of transport in human walking. Utilizing the kinematic motion data of the center of mass, velocities and accelerations are determined using kinematic analysis; the applied force is then obtained using inverse dynamics. We calculate the mechanical cost of transport per step from both synthetic and measured data, using a very simple mechanical model of walking. The approach studied can serve as an informative gait characteristic to monitor rehabilitation in human walking.

Keywords: biomechanics; motion analysis; kinematics; legs; walking (motion); acceleration

Free keywords: legs; motion; walking; gait; analysis; velocity; pendulums; kinematics; acceleration

Contributing organizations

Related projects

Ministry reporting: Yes

VIRTA submission year: 2024

Preliminary JUFO rating: 1