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

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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Bibliographic Details
Main Authors: Thomas Agostinelli, Andrea Generosi, Silvia Ceccacci, Riccardo Karim Khamaisi, Margherita Peruzzini, Maura Mengoni
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Applied Sciences
Subjects:
motion capture
ergonomic risk assessment
industrial ergonomics
postural analysis
RULA
Online Access:https://www.mdpi.com/2076-3417/11/22/10645

Internet

https://www.mdpi.com/2076-3417/11/22/10645

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