An elaborate data set on human gait and the effect of mechanical perturbations

Jason K Moore; Sandra K. Hnat; Antonie J. van den Bogert

doi:10.7287/peerj.preprints.700v3

An elaborate data set on human gait and the effect of mechanical perturbations

Jason K Moore , Sandra K. Hnat, Antonie J. van den Bogert

Department of Mechanical Engineering, Cleveland State University, Cleveland, Ohio, USA

DOI: 10.7287/peerj.preprints.700v3

Published: 2015-03-17
Accepted: 2015-03-17

Subject Areas: Bioengineering, Kinesiology, Computational Science
Keywords: gait, data, control, perturbation

Licence: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.

Cite this article: Moore JK, Hnat SK, van den Bogert AJ. 2015. An elaborate data set on human gait and the effect of mechanical perturbations. PeerJ PrePrints 3:e700v3 https://doi.org/10.7287/peerj.preprints.700v3

Abstract

Here we share a rich gait data set collected from fifteen subjects walking at three speeds on an instrumented treadmill. Each trial consists of 120 seconds of normal walking and 480 seconds of walking while being longitudinally perturbed during each stance phase with pseudo-random fluctuations in the speed of the treadmill belt. A total of approximately 1.5 hours of normal walking (>5000 gait cycles) and 6 hours of perturbed walking (>20,000 gait cycles) is included in the data set. We provide full body marker trajectories and ground reaction loads in addition to a presentation of processed data that includes gait events, 2D joint angles, angular rates, and joint torques along with the open source software used for the computations. The protocol is described in detail and supported with additional elaborate meta data for each trial. This data can likely be useful for validating or generating mathematical models that are capable of simulating normal periodic gait and non-periodic, perturbed gaits.

Author Comment

This version addresses comments received in the first round of peer review at PeerJ. All of the changes can be viewed here: https://github.com/csu-hmc/perturbed-data-paper/compare/v0.2...v0.3.