This paper introduces a motion analysis system based on a network of common RGB cameras, which provides the measurement of various angles considered for postural assessment, in order to facilitate the evaluation of the ergonomic indices commonly used for the determination of risk of musculoskeletal disorders of operators in manufacturing workplaces. To enable the tracking of operator postures during the performed tasks, the system exploits the multi person keypoints detection library “OpenPose”. The proposed system has been validated with a real industrial case study regarding a washing machine assembly line. Results suggest how the proposed system supports ergonomists in risk assessment of musculoskeletal disorders through the OCRA index.
A low cost motion analysis system based on RGB cameras to support ergonomic risk assessment in real workspaces / Altieri, A.; Ceccacci, S.; Talipu, A.; Mengoni, M.. - ELETTRONICO. - 9:(2020). (Intervento presentato al convegno ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering tenutosi a Online nel 17-19 August) [10.1115/DETC2020-22308].
A low cost motion analysis system based on RGB cameras to support ergonomic risk assessment in real workspaces
Altieri A.;Ceccacci S.;Talipu A.;Mengoni M.
2020-01-01
Abstract
This paper introduces a motion analysis system based on a network of common RGB cameras, which provides the measurement of various angles considered for postural assessment, in order to facilitate the evaluation of the ergonomic indices commonly used for the determination of risk of musculoskeletal disorders of operators in manufacturing workplaces. To enable the tracking of operator postures during the performed tasks, the system exploits the multi person keypoints detection library “OpenPose”. The proposed system has been validated with a real industrial case study regarding a washing machine assembly line. Results suggest how the proposed system supports ergonomists in risk assessment of musculoskeletal disorders through the OCRA index.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
