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An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment

In this work, we propose an online method to detect and approximately locate an external load induced on the body of a person interacting with the environment. The method is based on a torque equilibrium condition on the human sagittal plane, which takes into account a reduced-complexity model of th...

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Autores principales: Lorenzini, Marta, Kim, Wansoo, De Momi, Elena, Ajoudani, Arash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474424/
https://www.ncbi.nlm.nih.gov/pubmed/32785096
http://dx.doi.org/10.3390/s20164471
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author Lorenzini, Marta
Kim, Wansoo
De Momi, Elena
Ajoudani, Arash
author_facet Lorenzini, Marta
Kim, Wansoo
De Momi, Elena
Ajoudani, Arash
author_sort Lorenzini, Marta
collection PubMed
description In this work, we propose an online method to detect and approximately locate an external load induced on the body of a person interacting with the environment. The method is based on a torque equilibrium condition on the human sagittal plane, which takes into account a reduced-complexity model of the whole-body centre of pressure (CoP) along with the measured one, and the vertical component of the ground reaction forces (vGRFs). The latter is combined with a statistical analysis approach to improve the localisation accuracy, (which is subject to uncertainties) to the extent of the industrial applications we target. The proposed technique eliminates the assumption of known contact position of an external load on the human limbs, allowing a more flexible online body-state tracking. The accuracy of the proposed method is first evaluated via a simulation study in which various contact points on different body postures are considered. Next, experiments on human subjects with three different contact locations applied to the human body are presented, revealing the validity of the proposed methodology. Lastly, its benefit in the estimation of human dynamic states is demonstrated. These results add another layer to the online human ergonomics assessment framework developed in our laboratory, extending it to more realistic and varying interaction conditions.
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spelling pubmed-74744242020-09-17 An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment Lorenzini, Marta Kim, Wansoo De Momi, Elena Ajoudani, Arash Sensors (Basel) Article In this work, we propose an online method to detect and approximately locate an external load induced on the body of a person interacting with the environment. The method is based on a torque equilibrium condition on the human sagittal plane, which takes into account a reduced-complexity model of the whole-body centre of pressure (CoP) along with the measured one, and the vertical component of the ground reaction forces (vGRFs). The latter is combined with a statistical analysis approach to improve the localisation accuracy, (which is subject to uncertainties) to the extent of the industrial applications we target. The proposed technique eliminates the assumption of known contact position of an external load on the human limbs, allowing a more flexible online body-state tracking. The accuracy of the proposed method is first evaluated via a simulation study in which various contact points on different body postures are considered. Next, experiments on human subjects with three different contact locations applied to the human body are presented, revealing the validity of the proposed methodology. Lastly, its benefit in the estimation of human dynamic states is demonstrated. These results add another layer to the online human ergonomics assessment framework developed in our laboratory, extending it to more realistic and varying interaction conditions. MDPI 2020-08-10 /pmc/articles/PMC7474424/ /pubmed/32785096 http://dx.doi.org/10.3390/s20164471 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
Lorenzini, Marta
Kim, Wansoo
De Momi, Elena
Ajoudani, Arash
An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title_full An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title_fullStr An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title_full_unstemmed An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title_short An Online Method to Detect and Locate an External Load on the Human Body with Applications in Ergonomics Assessment
title_sort online method to detect and locate an external load on the human body with applications in ergonomics assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474424/
https://www.ncbi.nlm.nih.gov/pubmed/32785096
http://dx.doi.org/10.3390/s20164471
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