An innovative statistical methodology to improve human gait analysis

Al-Daffaie, Kadhem (2019) An innovative statistical methodology to improve human gait analysis. [Thesis (PhD/Research)]

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Item Type: Thesis (PhD/Research)
Item Status: Live Archive
Additional Information: Doctor of Philosophy (PhD) thesis. Access restricted to this thesis for 12 months until 19 July 2020, at author's request.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences
Supervisors: Chong, Albert K.; Gharineiat, Zahra
Date Deposited: 24 Jul 2019 03:23
Last Modified: 24 Jul 2019 04:46
Uncontrolled Keywords: human gait analysis, innovative statistical approach, data combining, data weighting, insole sensors, plantar pressure
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
11 Medical and Health Sciences > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/36824

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