An innovative statistical methodology to improve human gait analysis

PhD Thesis


Al-Daffaie, Kadhem. 2019. An innovative statistical methodology to improve human gait analysis . PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/nkx3-d878
Title

An innovative statistical methodology to improve human
gait analysis

TypePhD Thesis
Authors
AuthorAl-Daffaie, Kadhem
SupervisorChong, Albert K.
Gharineiat, Zahra
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages205
Year2019
Digital Object Identifier (DOI)https://doi.org/10.26192/nkx3-d878
Abstract

The Abstract is currently unavailable, due to the thesis being under Embargo.

Keywordshuman gait analysis, innovative statistical approach, data combining, data weighting, insole sensors, plantar pressure
ANZSRC Field of Research 2020490501. Applied statistics
429999. Other health sciences not elsewhere classified
Byline AffiliationsSchool of Agricultural, Computational and Environmental Sciences
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Al-Daffaie, Kadhem, Chong, Albert K. and Gharineiat, Zahra. 2019. "Pressure beneath the foot for older adults using an improved approach." 9th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE 2019). Kota Kinabalu, Malaysia 27 - 28 Apr 2019 United States. https://doi.org/10.1109/ISCAIE.2019.8743653
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