A Low Cost Motion Analysis System Based on RGB Cameras to Support Ergonomic Risk Assessment in Real Workplaces

2021 ◽  
Author(s):  
Alex Altieri ◽  
Silvia Ceccacci ◽  
Abudukaiyoumu Talipu ◽  
Maura Mengoni
Author(s):  
Alex Altieri ◽  
Silvia Ceccacci ◽  
Abudukaiyoumu Talipu ◽  
Maura Mengoni

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.


Author(s):  
Muhamad Nurul Hisyam Yunus ◽  
Mohd Hafiidz Jaafar ◽  
Ahmad Sufril Azlan Mohamed ◽  
Nur Zaidi Azraai ◽  
Md. Sohrab Hossain

Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data.


Sensors ◽  
2014 ◽  
Vol 14 (8) ◽  
pp. 15434-15457 ◽  
Author(s):  
Yongbin Qi ◽  
Cheong Soh ◽  
Erry Gunawan ◽  
Kay-Soon Low ◽  
Rijil Thomas

Sign in / Sign up

Export Citation Format

Share Document