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
Permalink -

https://research.usq.edu.au/item/q5559/an-innovative-statistical-methodology-to-improve-human-gait-analysis

Log in to edit

Download files

Published Version
Kadhem_thesis.pdf
File access level: Anyone

  • 292
    total views
  • 96
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Pressure beneath the foot for older adults using an improved approach
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
Advanced techniques to study foot pressure of healthy young adults
Al-Daffaie, Kadhem and Chong, Albert K.. 2019. "Advanced techniques to study foot pressure of healthy young adults." 2nd International Conference on Information Science and Systems (ICISS 2019). Tokyo, Japan 16 - 19 Mar 2019 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3322645.3322652
Plantar Pressure Characteristics in Obese Individuals: A Proposed Methodology
Al-Daffaie, Kadhem, Chong, Albert K. and Gharineiat, Zahra. 2019. "Plantar Pressure Characteristics in Obese Individuals: A Proposed Methodology." 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC). Singapore 27 - 29 Jul 2019 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICISPC.2019.8935691
Logistic regression for circular data
Al-Daffaie, Kadhem and Khan, Shahjahan. 2017. "Logistic regression for circular data." Bakar, Shaiful Anuar Abu, Yunus, Rossita Mohamad and Mohamed, Ibrahim (ed.) 3rd ISM International Statistical Conference 2016 (ISM III): Bringing Professionalism and Prestige in Statistics. Kuala Lumpur, Malaysia 09 - 11 Aug 2016 United States. https://doi.org/10.1063/1.4982860