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Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data
Kinetic models of human motion rely on boundary conditions which are defined by the interaction of the body with its environment. In the simplest case, this interaction is limited to the foot contact with the ground and is given by the so called ground reaction force (GRF). A major challenge in the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582573/ https://www.ncbi.nlm.nih.gov/pubmed/33049916 http://dx.doi.org/10.3390/s20195709 |
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author | Weidmann, Alexander Taetz, Bertram Andres, Matthias Laufer, Felix Bleser, Gabriele |
author_facet | Weidmann, Alexander Taetz, Bertram Andres, Matthias Laufer, Felix Bleser, Gabriele |
author_sort | Weidmann, Alexander |
collection | PubMed |
description | Kinetic models of human motion rely on boundary conditions which are defined by the interaction of the body with its environment. In the simplest case, this interaction is limited to the foot contact with the ground and is given by the so called ground reaction force (GRF). A major challenge in the reconstruction of GRF from kinematic data is the double support phase, referring to the state with multiple ground contacts. In this case, the GRF prediction is not well defined. In this work we present an approach to reconstruct and distribute vertical GRF (vGRF) to each foot separately, using only kinematic data. We propose the biomechanically inspired force shadow method (FSM) to obtain a unique solution for any contact phase, including double support, of an arbitrary motion. We create a kinematic based function, model an anatomical foot shape and mimic the effect of hip muscle activations. We compare our estimations with the measurements of a Zebris pressure plate and obtain correlations of [Formula: see text] for double support motions and [Formula: see text] for a walking motion. The presented data is based on inertial human motion capture, showing the applicability for scenarios outside the laboratory. The proposed approach has low computational complexity and allows for online vGRF estimation. |
format | Online Article Text |
id | pubmed-7582573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75825732020-10-28 Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data Weidmann, Alexander Taetz, Bertram Andres, Matthias Laufer, Felix Bleser, Gabriele Sensors (Basel) Article Kinetic models of human motion rely on boundary conditions which are defined by the interaction of the body with its environment. In the simplest case, this interaction is limited to the foot contact with the ground and is given by the so called ground reaction force (GRF). A major challenge in the reconstruction of GRF from kinematic data is the double support phase, referring to the state with multiple ground contacts. In this case, the GRF prediction is not well defined. In this work we present an approach to reconstruct and distribute vertical GRF (vGRF) to each foot separately, using only kinematic data. We propose the biomechanically inspired force shadow method (FSM) to obtain a unique solution for any contact phase, including double support, of an arbitrary motion. We create a kinematic based function, model an anatomical foot shape and mimic the effect of hip muscle activations. We compare our estimations with the measurements of a Zebris pressure plate and obtain correlations of [Formula: see text] for double support motions and [Formula: see text] for a walking motion. The presented data is based on inertial human motion capture, showing the applicability for scenarios outside the laboratory. The proposed approach has low computational complexity and allows for online vGRF estimation. MDPI 2020-10-08 /pmc/articles/PMC7582573/ /pubmed/33049916 http://dx.doi.org/10.3390/s20195709 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Weidmann, Alexander Taetz, Bertram Andres, Matthias Laufer, Felix Bleser, Gabriele Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title | Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title_full | Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title_fullStr | Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title_full_unstemmed | Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title_short | Force Shadows: An Online Method to Estimate and Distribute Vertical Ground Reaction Forces from Kinematic Data |
title_sort | force shadows: an online method to estimate and distribute vertical ground reaction forces from kinematic data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582573/ https://www.ncbi.nlm.nih.gov/pubmed/33049916 http://dx.doi.org/10.3390/s20195709 |
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