An elaborate data set on human gait and the effect of mechanical perturbations. Moore, J. K.; Hnat, S. K.; and van den Bogert, A. J. PeerJ, 3:e918, 2015.
doi  abstract   bibtex   
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 s of normal walking and 480 s 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 h of normal walking (\textgreater5000 gait cycles) and 6 h of perturbed walking (\textgreater20,000 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.
@article{moore_elaborate_2015,
	title = {An elaborate data set on human gait and the effect of mechanical perturbations},
	volume = {3},
	copyright = {All rights reserved},
	issn = {2167-8359},
	doi = {10.7717/peerj.918},
	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 s of normal walking and 480 s 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 h of normal walking ({\textgreater}5000 gait cycles) and 6 h of perturbed walking ({\textgreater}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.},
	language = {eng},
	journal = {PeerJ},
	author = {Moore, Jason K. and Hnat, Sandra K. and van den Bogert, Antonie J.},
	year = {2015},
	pmid = {25945311},
	pmcid = {PMC4419525},
	keywords = {Control, Data, Gait, Perturbation},
	pages = {e918},
}
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