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A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths
The biomechanics of human walking are well documented for standard conditions such as for self-selected step length and preferred speed. However, humans can and do walk with a variety of other step lengths and speeds during daily living. The variation of biomechanics across gait conditions may be im...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669008/ https://www.ncbi.nlm.nih.gov/pubmed/36385009 http://dx.doi.org/10.1038/s41597-022-01817-1 |
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author | van der Zee, Tim J. Mundinger, Emily M. Kuo, Arthur D. |
author_facet | van der Zee, Tim J. Mundinger, Emily M. Kuo, Arthur D. |
author_sort | van der Zee, Tim J. |
collection | PubMed |
description | The biomechanics of human walking are well documented for standard conditions such as for self-selected step length and preferred speed. However, humans can and do walk with a variety of other step lengths and speeds during daily living. The variation of biomechanics across gait conditions may be important for describing and determining the mechanics of locomotion. To address this, we present an open biomechanics dataset of steady walking at a broad range of conditions, including 33 experimentally-controlled combinations of speed (0.7–2.0 m·s(−1)), step length (0.5–1.1 m), and step width (0–0.4 m). The dataset contains ground reaction forces and motions from healthy young adults (N = 10), collected using split-belt instrumented treadmill and motion capture systems respectively. Most trials also include pre-computed inverse dynamics, including 3D joint positions, angles, torques and powers, as well as intersegmental forces. Apart from raw data, we also provide five strides of good quality data without artifacts for each trial, and sample software for visualization and analysis. |
format | Online Article Text |
id | pubmed-9669008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96690082022-11-18 A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths van der Zee, Tim J. Mundinger, Emily M. Kuo, Arthur D. Sci Data Data Descriptor The biomechanics of human walking are well documented for standard conditions such as for self-selected step length and preferred speed. However, humans can and do walk with a variety of other step lengths and speeds during daily living. The variation of biomechanics across gait conditions may be important for describing and determining the mechanics of locomotion. To address this, we present an open biomechanics dataset of steady walking at a broad range of conditions, including 33 experimentally-controlled combinations of speed (0.7–2.0 m·s(−1)), step length (0.5–1.1 m), and step width (0–0.4 m). The dataset contains ground reaction forces and motions from healthy young adults (N = 10), collected using split-belt instrumented treadmill and motion capture systems respectively. Most trials also include pre-computed inverse dynamics, including 3D joint positions, angles, torques and powers, as well as intersegmental forces. Apart from raw data, we also provide five strides of good quality data without artifacts for each trial, and sample software for visualization and analysis. Nature Publishing Group UK 2022-11-16 /pmc/articles/PMC9669008/ /pubmed/36385009 http://dx.doi.org/10.1038/s41597-022-01817-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor van der Zee, Tim J. Mundinger, Emily M. Kuo, Arthur D. A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title | A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title_full | A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title_fullStr | A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title_full_unstemmed | A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title_short | A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
title_sort | biomechanics dataset of healthy human walking at various speeds, step lengths and step widths |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669008/ https://www.ncbi.nlm.nih.gov/pubmed/36385009 http://dx.doi.org/10.1038/s41597-022-01817-1 |
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