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Detecting idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector Machines.

Pendharkar, G, Lai, Tze huei ORCID: 0000-0003-3459-7709 and Begg, Rezaul ORCID: 0000-0002-3195-8591 (2008) Detecting idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector Machines. In: 30th Annual International Institute of Electrical and Electronics Engineers, Engineering in Medicine and Biology Society Conference (IEEE EMBS 2008) - Personalized Healthcare through Technology, 20 August 2008-24 August 2008, Vancouver.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781424418145
Uncontrolled Keywords: pattern recognition; SVM; learning tools; machine learning; personalised healthcare; ITW; children; algorithms
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 1106 Human Movement and Sports Science
Faculty/School/Research Centre/Department > Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES)
Depositing User: Symplectic Elements
Date Deposited: 19 Apr 2018 05:09
Last Modified: 07 Sep 2018 10:50
URI: http://vuir.vu.edu.au/id/eprint/36001
DOI: https://doi.org/10.1109/IEMBS.2008.4650317
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Citations in Scopus: 6 - View on Scopus

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