Identification of ankle sprain motion from common sporting activities by dorsal foot kinematics data

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

16 Scopus Citations
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Author(s)

  • Yue-Yan Chan
  • Daniel Tik-Pui Fong
  • Mandy Man-Ling Chung
  • Wei-Hsin Liao
  • Patrick Shu-Hang Yung
  • Kai-Ming Chan

Detail(s)

Original languageEnglish
Pages (from-to)1965-1969
Journal / PublicationJournal of Biomechanics
Volume43
Issue number10
Publication statusPublished - Jul 2010
Externally publishedYes

Abstract

This study presented a method to identify ankle sprain motion from common sporting activities by dorsal foot kinematics data. Six male subjects performed 300 simulated supination sprain trials and 300 non-sprain trials in a laboratory. Eight motion sensors were attached to the right dorsal foot to collect three-dimensional linear acceleration and angular velocity kinematics data, which were used to train up a support vector machine (SVM) model for the identification purpose. Results suggested that the best identification method required only one motion sensor located at the medial calcaneus, and the method was verified on another group of six subjects performing 300 simulated supination sprain trials and 300 non-sprain trials. The accuracy of this method was 91.3%, and the method could help developing a mobile motion sensor system for ankle sprain detection. © 2010 Elsevier Ltd.

Research Area(s)

  • Accelerometer, Gyrometer, Injury mechanism, Injury prevention, Motion sensor, Support vector machine

Citation Format(s)

Identification of ankle sprain motion from common sporting activities by dorsal foot kinematics data. / Chan, Yue-Yan; Fong, Daniel Tik-Pui; Chung, Mandy Man-Ling; Li, Wen-Jung; Liao, Wei-Hsin; Yung, Patrick Shu-Hang; Chan, Kai-Ming.

In: Journal of Biomechanics, Vol. 43, No. 10, 07.2010, p. 1965-1969.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review