The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention

This paper wants to stress the importance of human movement monitoring to prevent musculoskeletal disorders by proposing the WGD—Working Gesture Dataset, a publicly available dataset of assembly line working gestures that aims to be used for worker’s kinematic analysis. It contains kinematic data ac...

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Autores principales:	Christian Tamantini, Francesca Cordella, Clemente Lauretti, Loredana Zollo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	human motion capture kinematics working activities Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/773fe8ac8bde40889cc1428b05866e0d
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spelling	oai:doaj.org-article:773fe8ac8bde40889cc1428b05866e0d2021-11-25T18:57:51ZThe WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention10.3390/s212276001424-8220https://doaj.org/article/773fe8ac8bde40889cc1428b05866e0d2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7600https://doaj.org/toc/1424-8220This paper wants to stress the importance of human movement monitoring to prevent musculoskeletal disorders by proposing the WGD—Working Gesture Dataset, a publicly available dataset of assembly line working gestures that aims to be used for worker’s kinematic analysis. It contains kinematic data acquired from healthy subjects performing assembly line working activities using an optoelectronic motion capture system. The acquired data were used to extract quantitative indicators to assess how the working tasks were performed and to detect useful information to estimate the exposure to the factors that may contribute to the onset of musculoskeletal disorders. The obtained results demonstrate that the proposed indicators can be exploited to early detect incorrect gestures and postures and, consequently to prevent work-related disorders. The approach is general and independent on the adopted motion analysis system. It wants to provide indications for safely performing working activities. For example, the proposed WGD can also be used to evaluate the kinematics of workers in real working environments thanks to the adoption of unobtrusive measuring systems, such as wearable sensors through the extracted indicators and thresholds.Christian TamantiniFrancesca CordellaClemente LaurettiLoredana ZolloMDPI AGarticlehuman motion capturekinematicsworking activitiesChemical technologyTP1-1185ENSensors, Vol 21, Iss 7600, p 7600 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	human motion capture kinematics working activities Chemical technology TP1-1185
spellingShingle	human motion capture kinematics working activities Chemical technology TP1-1185 Christian Tamantini Francesca Cordella Clemente Lauretti Loredana Zollo The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
description	This paper wants to stress the importance of human movement monitoring to prevent musculoskeletal disorders by proposing the WGD—Working Gesture Dataset, a publicly available dataset of assembly line working gestures that aims to be used for worker’s kinematic analysis. It contains kinematic data acquired from healthy subjects performing assembly line working activities using an optoelectronic motion capture system. The acquired data were used to extract quantitative indicators to assess how the working tasks were performed and to detect useful information to estimate the exposure to the factors that may contribute to the onset of musculoskeletal disorders. The obtained results demonstrate that the proposed indicators can be exploited to early detect incorrect gestures and postures and, consequently to prevent work-related disorders. The approach is general and independent on the adopted motion analysis system. It wants to provide indications for safely performing working activities. For example, the proposed WGD can also be used to evaluate the kinematics of workers in real working environments thanks to the adoption of unobtrusive measuring systems, such as wearable sensors through the extracted indicators and thresholds.
format	article
author	Christian Tamantini Francesca Cordella Clemente Lauretti Loredana Zollo
author_facet	Christian Tamantini Francesca Cordella Clemente Lauretti Loredana Zollo
author_sort	Christian Tamantini
title	The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
title_short	The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
title_full	The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
title_fullStr	The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
title_full_unstemmed	The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention
title_sort	wgd—a dataset of assembly line working gestures for ergonomic analysis and work-related injuries prevention
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/773fe8ac8bde40889cc1428b05866e0d
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The WGD—A Dataset of Assembly Line Working Gestures for Ergonomic Analysis and Work-Related Injuries Prevention

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