Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment

This paper introduces a low-cost and low computational marker-less motion capture system based on the acquisition of frame images through standard RGB cameras. It exploits the open-source deep learning model CMU, from the tf-pose-estimation project. Its numerical accuracy and its usefulness for ergo...

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Autores principales:	Thomas Agostinelli, Andrea Generosi, Silvia Ceccacci, Riccardo Karim Khamaisi, Margherita Peruzzini, Maura Mengoni
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	motion capture ergonomic risk assessment industrial ergonomics postural analysis RULA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f7b83fcdd577450c8939eb193ae355e4
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spelling	oai:doaj.org-article:f7b83fcdd577450c8939eb193ae355e42021-11-25T16:33:58ZPreliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment10.3390/app1122106452076-3417https://doaj.org/article/f7b83fcdd577450c8939eb193ae355e42021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10645https://doaj.org/toc/2076-3417This paper introduces a low-cost and low computational marker-less motion capture system based on the acquisition of frame images through standard RGB cameras. It exploits the open-source deep learning model CMU, from the tf-pose-estimation project. Its numerical accuracy and its usefulness for ergonomic assessment are evaluated by a proper experiment, designed and performed to: (1) compare the data provided by it with those collected from a motion capture golden standard system; (2) compare the RULA scores obtained with data provided by it with those obtained with data provided by the Vicon Nexus system and those estimated through video analysis, by a team of three expert ergonomists. Tests have been conducted in standardized laboratory conditions and involved a total of six subjects. Results suggest that the proposed system can predict angles with good consistency and give evidence about the tool’s usefulness for ergonomist.Thomas AgostinelliAndrea GenerosiSilvia CeccacciRiccardo Karim KhamaisiMargherita PeruzziniMaura MengoniMDPI AGarticlemotion captureergonomic risk assessmentindustrial ergonomicspostural analysisRULATechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10645, p 10645 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	motion capture ergonomic risk assessment industrial ergonomics postural analysis RULA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	motion capture ergonomic risk assessment industrial ergonomics postural analysis RULA Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Thomas Agostinelli Andrea Generosi Silvia Ceccacci Riccardo Karim Khamaisi Margherita Peruzzini Maura Mengoni Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
description	This paper introduces a low-cost and low computational marker-less motion capture system based on the acquisition of frame images through standard RGB cameras. It exploits the open-source deep learning model CMU, from the tf-pose-estimation project. Its numerical accuracy and its usefulness for ergonomic assessment are evaluated by a proper experiment, designed and performed to: (1) compare the data provided by it with those collected from a motion capture golden standard system; (2) compare the RULA scores obtained with data provided by it with those obtained with data provided by the Vicon Nexus system and those estimated through video analysis, by a team of three expert ergonomists. Tests have been conducted in standardized laboratory conditions and involved a total of six subjects. Results suggest that the proposed system can predict angles with good consistency and give evidence about the tool’s usefulness for ergonomist.
format	article
author	Thomas Agostinelli Andrea Generosi Silvia Ceccacci Riccardo Karim Khamaisi Margherita Peruzzini Maura Mengoni
author_facet	Thomas Agostinelli Andrea Generosi Silvia Ceccacci Riccardo Karim Khamaisi Margherita Peruzzini Maura Mengoni
author_sort	Thomas Agostinelli
title	Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
title_short	Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
title_full	Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
title_fullStr	Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
title_full_unstemmed	Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment
title_sort	preliminary validation of a low-cost motion analysis system based on rgb cameras to support the evaluation of postural risk assessment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f7b83fcdd577450c8939eb193ae355e4
work_keys_str_mv	AT thomasagostinelli preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment AT andreagenerosi preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment AT silviaceccacci preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment AT riccardokarimkhamaisi preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment AT margheritaperuzzini preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment AT mauramengoni preliminaryvalidationofalowcostmotionanalysissystembasedonrgbcamerastosupporttheevaluationofposturalriskassessment
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Preliminary Validation of a Low-Cost Motion Analysis System Based on RGB Cameras to Support the Evaluation of Postural Risk Assessment

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