Cargando…
Humans optimally anticipate and compensate for an uneven step during walking
The simple task of walking up a sidewalk curb is actually a dynamic prediction task. The curb is a disturbance that could cause a loss of momentum if not anticipated and compensated for. It might be possible to adjust momentum sufficiently to ensure undisturbed time of arrival, but there are infinit...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920505/ https://www.ncbi.nlm.nih.gov/pubmed/35014609 http://dx.doi.org/10.7554/eLife.65402 |
_version_ | 1784669141652733952 |
---|---|
author | Darici, Osman Kuo, Arthur D |
author_facet | Darici, Osman Kuo, Arthur D |
author_sort | Darici, Osman |
collection | PubMed |
description | The simple task of walking up a sidewalk curb is actually a dynamic prediction task. The curb is a disturbance that could cause a loss of momentum if not anticipated and compensated for. It might be possible to adjust momentum sufficiently to ensure undisturbed time of arrival, but there are infinite possible ways to do so. Much of steady, level gait is determined by energy economy, which should be at least as important with terrain disturbances. It is, however, unknown whether economy also governs walking up a curb, and whether anticipation helps. Here, we show that humans compensate with an anticipatory pattern of forward speed adjustments, predicted by a criterion of minimizing mechanical energy input. The strategy is mechanistically predicted by optimal control for a simple model of bipedal walking dynamics, with each leg’s push-off work as input. Optimization predicts a triphasic trajectory of speed (and thus momentum) adjustments, including an anticipatory phase. In experiment, human subjects ascend an artificial curb with the predicted triphasic trajectory, which approximately conserves overall walking speed relative to undisturbed flat ground. The trajectory involves speeding up in a few steps before the curb, losing considerable momentum from ascending it, and then regaining speed in a few steps thereafter. Descending the curb entails a nearly opposite, but still anticipatory, speed fluctuation trajectory, in agreement with model predictions that speed fluctuation amplitudes should scale linearly with curb height. The fluctuation amplitudes also decrease slightly with faster average speeds, also as predicted by model. Humans can reason about the dynamics of walking to plan anticipatory and economical control, even with a sidewalk curb in the way. |
format | Online Article Text |
id | pubmed-8920505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89205052022-03-15 Humans optimally anticipate and compensate for an uneven step during walking Darici, Osman Kuo, Arthur D eLife Physics of Living Systems The simple task of walking up a sidewalk curb is actually a dynamic prediction task. The curb is a disturbance that could cause a loss of momentum if not anticipated and compensated for. It might be possible to adjust momentum sufficiently to ensure undisturbed time of arrival, but there are infinite possible ways to do so. Much of steady, level gait is determined by energy economy, which should be at least as important with terrain disturbances. It is, however, unknown whether economy also governs walking up a curb, and whether anticipation helps. Here, we show that humans compensate with an anticipatory pattern of forward speed adjustments, predicted by a criterion of minimizing mechanical energy input. The strategy is mechanistically predicted by optimal control for a simple model of bipedal walking dynamics, with each leg’s push-off work as input. Optimization predicts a triphasic trajectory of speed (and thus momentum) adjustments, including an anticipatory phase. In experiment, human subjects ascend an artificial curb with the predicted triphasic trajectory, which approximately conserves overall walking speed relative to undisturbed flat ground. The trajectory involves speeding up in a few steps before the curb, losing considerable momentum from ascending it, and then regaining speed in a few steps thereafter. Descending the curb entails a nearly opposite, but still anticipatory, speed fluctuation trajectory, in agreement with model predictions that speed fluctuation amplitudes should scale linearly with curb height. The fluctuation amplitudes also decrease slightly with faster average speeds, also as predicted by model. Humans can reason about the dynamics of walking to plan anticipatory and economical control, even with a sidewalk curb in the way. eLife Sciences Publications, Ltd 2022-01-11 /pmc/articles/PMC8920505/ /pubmed/35014609 http://dx.doi.org/10.7554/eLife.65402 Text en © 2022, Darici and Kuo https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Physics of Living Systems Darici, Osman Kuo, Arthur D Humans optimally anticipate and compensate for an uneven step during walking |
title | Humans optimally anticipate and compensate for an uneven step during walking |
title_full | Humans optimally anticipate and compensate for an uneven step during walking |
title_fullStr | Humans optimally anticipate and compensate for an uneven step during walking |
title_full_unstemmed | Humans optimally anticipate and compensate for an uneven step during walking |
title_short | Humans optimally anticipate and compensate for an uneven step during walking |
title_sort | humans optimally anticipate and compensate for an uneven step during walking |
topic | Physics of Living Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920505/ https://www.ncbi.nlm.nih.gov/pubmed/35014609 http://dx.doi.org/10.7554/eLife.65402 |
work_keys_str_mv | AT dariciosman humansoptimallyanticipateandcompensateforanunevenstepduringwalking AT kuoarthurd humansoptimallyanticipateandcompensateforanunevenstepduringwalking |