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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.

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Title Postural injury risk assessment for industrial processes using advanced sensory systems
Author Nahavandi, DariusORCID iD for 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 ┬ęThe author
Free to Read? Yes
Use Rights Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110930

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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.