Support vector machines for young and older gait classification using inertial sensor kinematics at minimum toe clearance

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Santhiranayagam, Braveena K, Lai, Daniel ORCID: 0000-0003-3459-7709 and Begg, Rezaul ORCID: 0000-0002-3195-8591 (2015) Support vector machines for young and older gait classification using inertial sensor kinematics at minimum toe clearance. EAI Endorsed Transactions on Pervasive Health and Technology, 16 (7). 173 - 178. ISSN 2411-7145

Abstract

Paper originally presented at: 10th EAI International Conference on Body Area Networks (BODYNETS 2015) Sydney, Australia, 28-30 Sept, 2015

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/37066
DOI 10.4108/eai.28-9-2015.2261579
Official URL http://eudl.eu/doi/10.4108/eai.28-9-2015.2261579
Subjects Historical > FOR Classification > 1106 Human Movement and Sports Science
Current > Division/Research > College of Science and Engineering
Historical > Faculty/School/Research Centre/Department > Institute of Sport, Exercise and Active Living (ISEAL)
Current > Division/Research > College of Sports and Exercise Science
Keywords inertial sensor signals; risk of falling
Citations in Scopus 1 - View on Scopus
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