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

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
Uncontrolled Keywords: tripping; gait; detection; falls
Subjects: FOR Classification > 0903 Biomedical Engineering
FOR Classification > 0913 Mechanical Engineering
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: 17 Jul 2016 23:44
Last Modified: 02 Aug 2019 06:20
URI: http://vuir.vu.edu.au/id/eprint/31083
DOI: https://doi.org/10.1016/j.jbiomech.2008.02.037
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Citations in Scopus: 26 - View on Scopus

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