Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines

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Lai, Daniel ORCID: 0000-0003-3459-7709, Begg, Rezaul ORCID: 0000-0002-3195-8591, Taylor, Simon ORCID: 0000-0002-4548-055X and Palaniswami, M (2008) Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines. Journal of Biomechanics, 41 (8). 1762 - 1772. ISSN 0021-9290

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/31083
DOI https://doi.org/10.1016/j.jbiomech.2008.02.037
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 0903 Biomedical Engineering
Historical > FOR Classification > 0913 Mechanical Engineering
Historical > FOR Classification > 1106 Human Movement and Sports Science
Historical > Faculty/School/Research Centre/Department > Centre for Ageing, Rehabilitation, Exercise & Sport Science (CARES)
Keywords tripping; gait; detection; falls
Citations in Scopus 31 - View on Scopus
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