Step-to-step variations in human running reveal how humans run without falling
Humans can run without falling down, usually despite uneven terrain or occasional pushes. Even without such external perturbations, intrinsic sources like sensorimotor noise perturb the running motion incessantly, making each step variable. Here, using simple and generalizable models, we show that e...
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doaj-72db5b195f524d89b0680a291044ffc22021-05-05T17:29:01ZengeLife Sciences Publications LtdeLife2050-084X2019-03-01810.7554/eLife.38371Step-to-step variations in human running reveal how humans run without fallingNidhi Seethapathi0https://orcid.org/0000-0002-5159-9717Manoj Srinivasan1https://orcid.org/0000-0002-7811-3617Mechanical and Aerospace Engineering, The Ohio State University, Columbus, United States; Department of Bioengineering, University of Pennsylvania, Philadelphia, United StatesMechanical and Aerospace Engineering, The Ohio State University, Columbus, United StatesHumans can run without falling down, usually despite uneven terrain or occasional pushes. Even without such external perturbations, intrinsic sources like sensorimotor noise perturb the running motion incessantly, making each step variable. Here, using simple and generalizable models, we show that even such small step-to-step variability contains considerable information about strategies used to run stably. Deviations in the center of mass motion predict the corrective strategies during the next stance, well in advance of foot touchdown. Horizontal motion is stabilized by total leg impulse modulations, whereas the vertical motion is stabilized by differentially modulating the impulse within stance. We implement these human-derived control strategies on a simple computational biped, showing that it runs stably for hundreds of steps despite incessant noise-like perturbations or larger discrete perturbations. This running controller derived from natural variability echoes behaviors observed in previous animal and robot studies.https://elifesciences.org/articles/38371human runninglocomotionmotor controlstabilityneuromechanicsbio-inspired control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nidhi Seethapathi Manoj Srinivasan |
spellingShingle |
Nidhi Seethapathi Manoj Srinivasan Step-to-step variations in human running reveal how humans run without falling eLife human running locomotion motor control stability neuromechanics bio-inspired control |
author_facet |
Nidhi Seethapathi Manoj Srinivasan |
author_sort |
Nidhi Seethapathi |
title |
Step-to-step variations in human running reveal how humans run without falling |
title_short |
Step-to-step variations in human running reveal how humans run without falling |
title_full |
Step-to-step variations in human running reveal how humans run without falling |
title_fullStr |
Step-to-step variations in human running reveal how humans run without falling |
title_full_unstemmed |
Step-to-step variations in human running reveal how humans run without falling |
title_sort |
step-to-step variations in human running reveal how humans run without falling |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2019-03-01 |
description |
Humans can run without falling down, usually despite uneven terrain or occasional pushes. Even without such external perturbations, intrinsic sources like sensorimotor noise perturb the running motion incessantly, making each step variable. Here, using simple and generalizable models, we show that even such small step-to-step variability contains considerable information about strategies used to run stably. Deviations in the center of mass motion predict the corrective strategies during the next stance, well in advance of foot touchdown. Horizontal motion is stabilized by total leg impulse modulations, whereas the vertical motion is stabilized by differentially modulating the impulse within stance. We implement these human-derived control strategies on a simple computational biped, showing that it runs stably for hundreds of steps despite incessant noise-like perturbations or larger discrete perturbations. This running controller derived from natural variability echoes behaviors observed in previous animal and robot studies. |
topic |
human running locomotion motor control stability neuromechanics bio-inspired control |
url |
https://elifesciences.org/articles/38371 |
work_keys_str_mv |
AT nidhiseethapathi steptostepvariationsinhumanrunningrevealhowhumansrunwithoutfalling AT manojsrinivasan steptostepvariationsinhumanrunningrevealhowhumansrunwithoutfalling |
_version_ |
1721459205850791936 |