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 per-formed 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.

Preliminary validation of a low-cost motion analysis system based on rgb cameras to support the evaluation of postural risk assessment / Agostinelli, T.; Generosi, A.; Ceccacci, S.; Khamaisi, R. K.; Peruzzini, M.; Mengoni, M.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 11:22(2021), pp. 10645-10645. [10.3390/app112210645]

Preliminary validation of a low-cost motion analysis system based on rgb cameras to support the evaluation of postural risk assessment

Khamaisi R. K.;Peruzzini M.;
2021

Abstract

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 per-formed 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.
11
22
10645
10645
Preliminary validation of a low-cost motion analysis system based on rgb cameras to support the evaluation of postural risk assessment / Agostinelli, T.; Generosi, A.; Ceccacci, S.; Khamaisi, R. K.; Peruzzini, M.; Mengoni, M.. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 11:22(2021), pp. 10645-10645. [10.3390/app112210645]
Agostinelli, T.; Generosi, A.; Ceccacci, S.; Khamaisi, R. K.; Peruzzini, M.; Mengoni, M.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1256296
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