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

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):  
H. Jagos ◽  
S. Reich ◽  
F. Rattay ◽  
L. Mehnen ◽  
K. Pils ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
C. Maurer-Grubinger ◽  
J. Haenel ◽  
L. Fraeulin ◽  
F. Holzgreve ◽  
E. M. Wanke ◽  
...  

AbstractMusculoskeletal disorders of the trunk and neck are common among cleaners. Vacuum cleaning is a demanding activity. The aim of this study was to present the movement profile of the trunk and neck during habitual vacuuming. The data were collected from 31 subjects (21f./10 m) using a 3D motion analysis system (Xsens). 10 cycles were analysed in vacuuming PVC and carpet floors with 8 vacuum cleaners. The joint angles and velocities were represented statistically descriptive. When vacuuming, the trunk is held in a forwardly inclined position by a flexion in the hip and rotated from this position. In the joint angles and velocities of the spine, the rotation proved to be dominant. A relatively large amount of movement took place in the cervical spine and also in the lumbar spine. The shown movement profile is rather a comfort area of vacuuming which may serve as a reference for ergonomics in vacuuming.


2014 ◽  
Vol 14 (02) ◽  
pp. 1450028 ◽  
Author(s):  
MOHAMMAD TAGHI KARIMI ◽  
JAVID MOSTAMAND ◽  
FRANCIS FATOYE

Background: Neuro-musculoskeletal disorders are a major source of physical disability involving more than one joint. Monitoring all joints during walking is achieved by using motion analysis system. There is limited evidence to show the suitability of motion analysis system to monitor neuro-musculoskeletal disorders. This research investigated the feasibility of this system to represent in patients with neuro-musculoskeletal disorders during walking. Method: Five groups of normal subjects with: knee osteoarthritis; avascular necrosis of hip joint; spinal cord injury and flat foot were recruited into this study. Kinetic and kinematic parameters were obtained by the use of motion analysis (Qualysis with seven cameras) and a Kistler force platform. The differences between gait parameters of normal and subjects with these disorders were examined using the independent t-tests. Paired t-test analysis was also used to determine the difference between walking with and without orthosis. Significant value was set at p ≤ 0.05. Results: There was a significant difference between the moment applied on the knee joint, the integral area between center of pressure (COP) and center of knee joint (COJ) graphs of normal and osteoarthritis (OA) subjects (p < 0.05). The area between COP and COJ of the ankle joint significantly differed between normal and flat foot subjects (p < 0.05). However, the force transmitted through the hip joint in subjects with Perthes did not differ significantly while walking with and without orthosis. In paraplegic subjects, the force applied on the limb and the mean values of gait parameters varied while walking with different orthoses which showed the feasibility of the system to monitor the performance of subjects with SCI disorder. Conclusion: The findings of the present study imply that the use of motion analysis is feasibility for assessing and monitoring neuro-musculoskeletal disorders. However, different parameters should be selected for various neuro-musculoskeletal disorders.


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