Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?

Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?

Abstract

Joint torques and forces are relevant quantities to estimate the biomechanical constraints of working tasks in ergonomics. However, inverse dynamics requires accurate motion capture data, which are generally not available in real manufacturing plants. Markerless and calibrationless measurement systems based on depth cameras, such as the Microsoft Kinect, are promising means to measure 3D poses in real time. Recent works have proposed methods to obtain reliable continuous skeleton data in cluttered environments, with occlusions and inappropriate sensor placement. In this paper, we evaluate the reliability of an inverse dynamics method based on this corrected skeleton data and its potential use to estimate joint torques and forces in such cluttered environments. To this end, we compared the calculated joint torques with those obtained with a reference inverse dynamics method based on an optoelectronic motion capture system. Results show that the Kinect skeleton data enabled the inverse dynamics process to deliver reliable joint torques in occlusion-free (r = 0.99 for the left shoulder elevation) and occluded (r = 0.91 for the left shoulder elevation) environments. However, differences remain between joint torques estimations. Such reliable joint torques open appealing perspectives for the use of new fatigue or solicitation indexes based on internal efforts measured on site.

Publication

Pierre Plantard, Antoine Muller, Charles Pontonnier, Georges Dumont, Hubert P. H. Shum and Franck Multon,
"Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?",
International Journal of Industrial Ergonomics (IJIE)

Citation=8## IF=1.429#

# Impact factor from the Journal Citation Reports as of 2017
## Citation count from Google Scholar as of 2018

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BibTeX

@article{plantard17inverse,
 author={Plantard, Pierre and Muller, Antoine and Pontonnier, Charles and Dumont, Georges and Shum, Hubert P. H. and Multon, Franck},
 journal={International Journal of Industrial Ergonomics},
 title={Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?},
 year={2017},
 volume={61},
 pages={71--80},
 numpages={10},
 doi={10.1016/j.ergon.2017.05.010},
 issn={0169-8141},
 publisher={Elsevier},
}

EndNote/RefMan

TY  - JOUR
AU  - Plantard, Pierre
AU  - Muller, Antoine
AU  - Pontonnier, Charles
AU  - Dumont, Georges
AU  - Shum, Hubert P. H.
AU  - Multon, Franck
T2  - International Journal of Industrial Ergonomics
TI  - Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?
PY  - 2017
VL  - 61
SP  - 71
EP  - 80
DO  - 10.1016/j.ergon.2017.05.010
SN  - 0169-8141
PB  - Elsevier
ER  - 

Plain Text

Pierre Plantard, Antoine Muller, Charles Pontonnier, Georges Dumont, Hubert P. H. Shum and Franck Multon, "Inverse Dynamics Based on Occlusion-resistant Kinect Data: Is It Usable for Ergonomics?," International Journal of Industrial Ergonomics, vol. 61, pp. 71-80, Elsevier, 2017.

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Last update: 18/06/2019