Cargando…

Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling

Inertial motion capture (IMC) has gained popularity in conducting ergonomic studies in the workplace. Because of the need to measure contact forces, most of these in situ studies are limited to a kinematic analysis, such as posture or working technique analysis. This paper aims to develop and evalua...

Descripción completa

Detalles Bibliográficos
Autores principales: Muller, Antoine, Mecheri, Hakim, Corbeil, Philippe, Plamondon, André, Robert-Lachaine, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459798/
https://www.ncbi.nlm.nih.gov/pubmed/36080913
http://dx.doi.org/10.3390/s22176454
_version_ 1784786594673197056
author Muller, Antoine
Mecheri, Hakim
Corbeil, Philippe
Plamondon, André
Robert-Lachaine, Xavier
author_facet Muller, Antoine
Mecheri, Hakim
Corbeil, Philippe
Plamondon, André
Robert-Lachaine, Xavier
author_sort Muller, Antoine
collection PubMed
description Inertial motion capture (IMC) has gained popularity in conducting ergonomic studies in the workplace. Because of the need to measure contact forces, most of these in situ studies are limited to a kinematic analysis, such as posture or working technique analysis. This paper aims to develop and evaluate an IMC-based approach to estimate back loading during manual material handling (MMH) tasks. During various representative workplace MMH tasks performed by nine participants, this approach was evaluated by comparing the results with the ones computed from optical motion capture and a large force platform. Root mean square errors of 21 Nm and 15 Nm were obtained for flexion and asymmetric L5/S1 moments, respectively. Excellent correlations were found between both computations on indicators based on L5/S1 peak and cumulative flexion moments, while lower correlations were found on indicators based on asymmetric moments. Since no force measurement or load kinematics measurement is needed, this study shows the potential of using only the handler’s kinematics measured by IMC to estimate kinetics variables. The assessment of workplace physical exposure, including L5/S1 moments, will allow more complete ergonomics evaluation and will improve the ecological validity compared to laboratory studies, where the situations are often simplified and standardized.
format Online
Article
Text
id pubmed-9459798
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-94597982022-09-10 Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling Muller, Antoine Mecheri, Hakim Corbeil, Philippe Plamondon, André Robert-Lachaine, Xavier Sensors (Basel) Article Inertial motion capture (IMC) has gained popularity in conducting ergonomic studies in the workplace. Because of the need to measure contact forces, most of these in situ studies are limited to a kinematic analysis, such as posture or working technique analysis. This paper aims to develop and evaluate an IMC-based approach to estimate back loading during manual material handling (MMH) tasks. During various representative workplace MMH tasks performed by nine participants, this approach was evaluated by comparing the results with the ones computed from optical motion capture and a large force platform. Root mean square errors of 21 Nm and 15 Nm were obtained for flexion and asymmetric L5/S1 moments, respectively. Excellent correlations were found between both computations on indicators based on L5/S1 peak and cumulative flexion moments, while lower correlations were found on indicators based on asymmetric moments. Since no force measurement or load kinematics measurement is needed, this study shows the potential of using only the handler’s kinematics measured by IMC to estimate kinetics variables. The assessment of workplace physical exposure, including L5/S1 moments, will allow more complete ergonomics evaluation and will improve the ecological validity compared to laboratory studies, where the situations are often simplified and standardized. MDPI 2022-08-26 /pmc/articles/PMC9459798/ /pubmed/36080913 http://dx.doi.org/10.3390/s22176454 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Muller, Antoine
Mecheri, Hakim
Corbeil, Philippe
Plamondon, André
Robert-Lachaine, Xavier
Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title_full Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title_fullStr Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title_full_unstemmed Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title_short Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling
title_sort inertial motion capture-based estimation of l5/s1 moments during manual materials handling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459798/
https://www.ncbi.nlm.nih.gov/pubmed/36080913
http://dx.doi.org/10.3390/s22176454
work_keys_str_mv AT mullerantoine inertialmotioncapturebasedestimationofl5s1momentsduringmanualmaterialshandling
AT mecherihakim inertialmotioncapturebasedestimationofl5s1momentsduringmanualmaterialshandling
AT corbeilphilippe inertialmotioncapturebasedestimationofl5s1momentsduringmanualmaterialshandling
AT plamondonandre inertialmotioncapturebasedestimationofl5s1momentsduringmanualmaterialshandling
AT robertlachainexavier inertialmotioncapturebasedestimationofl5s1momentsduringmanualmaterialshandling