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  4. Explaining the ergonomic assessment of human movement in industrial contexts
 
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2020
Conference Paper
Title

Explaining the ergonomic assessment of human movement in industrial contexts

Abstract
The repetitive nature of manufacturing processes is identified as a risk factor for the onset of musculoskeletal disorders. For prevention, the operatorâs exposure risk is measured through ergonomic risk scores which are often associated with a workstation, ignoring the variability among operators. Moreover, the score values hinder a comprehensive interpretation by occupational physicians. Observation methods require significant effort, preventing accurate and continuous evaluation. The conducted study developed a solution using inertial sensors for automatic operator risk exposure in the manufacturing industry. Two experimental assessments were conducted: laboratory validation, performed by 14 subjects, using an optical motion capture system as a reference; and field evaluation, with 6 participants, acquired on a real automotive assembly line, served as the basis for an ergonomic risk evaluation study. Through the research, it was implemented an upper-body motion tra cking algorithm relying on inertial information, to estimate the angular orientation of anatomical joints. An adjusted ergonomic risk score, based on direct measurements was developed allowing an ergonomic evaluation which also has an explanation approach, based on the comprehensive analysis of the angular risk factors. Direct measurements fasten the ergonomic feedback, consequently, the evaluation can be extended to more operators, ultimately preventing work-related injuries.
Author(s)
Santos, S.
Folgado, D.
Rodrigues, J.
Mollaei, N.
Fujao, C.
Gamboa, H.
Mainwork
13th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2020. Proceedings. Vol.4: BIOSIGNALS  
Conference
International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) 2020  
International Conference on Bio-Inspired Systems and Signal Processing (BIOSIGNALS) 2020  
Open Access
DOI
10.5220/0008953800790088
Additional link
Full text
Language
English
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