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Article

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

1
Univ Lyon, Univ Gustave Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR_T 9406, F-69622 Lyon, France
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Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail (IRSST), Montreal, QC H3A 3C2, Canada
3
Department of Kinesiology, Université Laval, Québec, QC G1V 0A6, Canada
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Centre Interdisciplinaire de Recherche en Réadaptation et Intégration Sociale du Centre Intégré Universitaire de Santé et de Services Sociaux de la Capitale-Nationale (CIRRIS/CIUSSS-CN), Québec, QC G1C 3S2, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Pietro Picerno, Andrea Mannini and Clive D’Souza
Sensors 2022, 22(17), 6454; https://doi.org/10.3390/s22176454
Received: 22 July 2022 / Revised: 12 August 2022 / Accepted: 24 August 2022 / Published: 26 August 2022
(This article belongs to the Collection Wearable Sensors for Risk Assessment and Injury Prevention)
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. View Full-Text
Keywords: inertial measurement units (IMU); wearable systems; workplace ergonomics; in situ analysis; kinetics; ground reaction forces inertial measurement units (IMU); wearable systems; workplace ergonomics; in situ analysis; kinetics; ground reaction forces
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MDPI and ACS Style

Muller, A.; Mecheri, H.; Corbeil, P.; Plamondon, A.; Robert-Lachaine, X. Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling. Sensors 2022, 22, 6454. https://doi.org/10.3390/s22176454

AMA Style

Muller A, Mecheri H, Corbeil P, Plamondon A, Robert-Lachaine X. Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling. Sensors. 2022; 22(17):6454. https://doi.org/10.3390/s22176454

Chicago/Turabian Style

Muller, Antoine, Hakim Mecheri, Philippe Corbeil, André Plamondon, and Xavier Robert-Lachaine. 2022. "Inertial Motion Capture-Based Estimation of L5/S1 Moments during Manual Materials Handling" Sensors 22, no. 17: 6454. https://doi.org/10.3390/s22176454

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