Postural injury risk assessment for industrial processes using advanced sensory systems Nahavandi, Darius 2018, Postural injury risk assessment for industrial processes using advanced sensory systems, Ph.D thesis, Institute for Intelligent Systems Research and Innovation, Deakin University. Attached Files Name Description MIMEType Size Downloads nahavandi-posturalinjury-2018.pdf Connect to thesis application/pdf 51.70MB 0 Title Postural injury risk assessment for industrial processes using advanced sensory systems Author Nahavandi, Darius orcid.org/0000-0002-5007-9584 Institution Deakin University School Institute for Intelligent Systems Research and Innovation Faculty GTP Research Degree type Research doctorate Degree name Ph.D Date submitted 2018-06-06 Summary The major contributions of this research delivered both advancements and novel frameworks to enhance the current methods of postural assessments within industrial environments. This included the development of load vs repetition analysis, A novel BVH Model and a low cost ergonomic scoring tool relying on pixel labelling. Language eng Indigenous content off Field of Research 110601 Biomechanics 110699 Human Movement and Sports Science not elsewhere classified Socio Economic Objective 810199 Defence not elsewhere classified Description of original 105 p. Copyright notice ©The author Free to Read? Yes Use Rights Persistent URL http://hdl.handle.net/10536/DRO/DU:30110930 Document type: Thesis Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Higher degree theses (Open Access) Open Access Collection GTP Research   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 11 Jul 2018, 15:40:34 EST Thu, 13 Sep 2018, 08:07:23 EST Tue, 09 Oct 2018, 11:32:44 EST Wed, 31 Mar 2021, 15:06:23 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 63 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 11 Jul 2018, 15:40:23 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.