Skeleton-free task-specific rapid upper limb ergonomie assessment using depth imaging sensors Nahavandi, Darius and Hossny, Mohammed 2017, Skeleton-free task-specific rapid upper limb ergonomie assessment using depth imaging sensors, in 2016 Conference Proceedings of IEEE Sensors, IEEE, Piscataway, N.J., doi: 10.1109/ICSENS.2016.7808687. Attached Files Name Description MIMEType Size Downloads Title Skeleton-free task-specific rapid upper limb ergonomie assessment using depth imaging sensors Author(s) Nahavandi, Darius orcid.org/0000-0002-5007-9584 Hossny, Mohammed orcid.org/0000-0002-1593-6296 Conference name IEEE Sensors. Conference (2016 : Florida, Orlando) Conference location Florida, Orlando Conference dates 2016/10/30 - 2016/11/02 Title of proceedings 2016 Conference Proceedings of IEEE Sensors Publication date 2017 Total pages 3 Publisher IEEE Place of publication Piscataway, N.J. ISBN 9781479982875 ISSN 1930-0395 2168-9229 Language eng DOI 10.1109/ICSENS.2016.7808687 Indigenous content off Field of Research 110601 Biomechanics 080106 Image Processing Socio Economic Objective 920409 Injury Control HERDC Research category E1 Full written paper - refereed Copyright notice ©2016, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30109432 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Institute for Intelligent Systems Research and Innovation (IISRI) Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 13 Jun 2018, 11:04:58 EST Wed, 13 Jun 2018, 11:50:39 EST Wed, 13 Jun 2018, 11:54:45 EST Fri, 15 Jun 2018, 09:13:00 EST Thu, 19 Sep 2019, 06:01:20 EST Thu, 03 Oct 2019, 09:32:38 EST Thu, 03 Oct 2019, 09:34:22 EST Sat, 03 Oct 2020, 02:31:09 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 106 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 13 Jun 2018, 11:04:58 EST

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