A kinect-based workplace postural analysis system using deep residual networks

Abobakr, Ahmed, Nahavandi, Darius, Iskander, Julie, Hossny, Mohammed, Nahavandi, Saeid and Smets, Marty 2017, A kinect-based workplace postural analysis system using deep residual networks, in ISSE 2017: Proceedings of the IEEE International Symposium on Systems Engineering, IEEE, Piscataway, N.J., doi: 10.1109/SysEng.2017.8088272.

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Title A kinect-based workplace postural analysis system using deep residual networks
Author(s) Abobakr, AhmedORCID iD for Abobakr, Ahmed orcid.org/0000-0002-6664-2335
Nahavandi, DariusORCID iD for Nahavandi, Darius orcid.org/0000-0002-5007-9584
Iskander, JulieORCID iD for Iskander, Julie orcid.org/0000-0002-3426-4376
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Smets, Marty
Conference name Systems Engineering. International Symposium (2017 : Vienna, Austria)
Conference location Vienna, Austria
Conference dates 2017/10/11 - 2017/10/13
Title of proceedings ISSE 2017: Proceedings of the IEEE International Symposium on Systems Engineering
Publication date 2017
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Engineering, Industrial
Operations Research & Management Science
Engineering
Kinect
RGB-D
deep learning
ConvNet
CNN
ResNet
ergonomics
RULA and pose estimation
SIMULATION
FEATURES
EXPOSURE
OPENSIM
ISBN 9781538634035
Language eng
DOI 10.1109/SysEng.2017.8088272
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106034

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