Ergonomic postural assessment using a new open-source human pose estimation technology (OpenPose)

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 80
  • Download : 0
Observational ergonomic postural assessment methods have been commonly used to evaluate the risks of musculoskeletal disorders. Researchers have proposed semi-automatic methods using Kinect, known for limitations with body occlusions and non-frontal tracking. Meanwhile, new human pose estimation methods have been actively developed, and a popular open-source technology is OpenPose. This study aims to propose the OpenPose-based system for computing joint angles and RULA/REBA scores and validate against the reference motion capture system, and compare its performance to the Kinect-based system. Recordings of 10 participants performing 12 experimental tasks under different conditions: with/without body occlusions and tracked from frontal/non-frontal views were analyzed. OpenPose showed good performance under all task conditions, whereas Kinect performed significantly worse than OpenPose especially at cases with body occlusions or non-frontal tracking. The findings suggested that OpenPose could be a promising technology to measure joint angles and conduct semi-automatic ergonomic postural assessments in the real workspace where the conditions are often non-ideal.
Publisher
ELSEVIER
Issue Date
2021-07
Language
English
Article Type
Article
Citation

INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, v.84, pp.103164

ISSN
0169-8141
DOI
10.1016/j.ergon.2021.103164
URI
http://hdl.handle.net/10203/286156
Appears in Collection
ID-Journal Papers(저널논문)IE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0