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

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Pendharkar, G, Lai, Daniel 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.

Item type Conference or Workshop Item (Paper)
URI http://vuir.vu.edu.au/id/eprint/36001
Identification Number https://doi.org/10.1109/IEMBS.2008.4650317
Official URL https://ieeexplore.ieee.org/document/4650317/
ISBN 9781424418145
Subjects Current > FOR Classification > 0801 Artificial Intelligence and Image Processing
Current > FOR Classification > 1106 Human Movement and Sports Science
Historical > Faculty/School/Research Centre/Department > Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES)
Keywords pattern recognition; SVM; learning tools; machine learning; personalised healthcare; ITW; children; algorithms
Citations in Scopus 8 - View on Scopus
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