Identification of ankle sprain motion from common sporting activities by dorsal foot kinematics data
journal contributionposted on 19.05.2016, 11:40 by Yue-Yan Chan, Daniel FongDaniel Fong, Mandy Man-Ling Chung, Wen-Jung Li, Wei-Hsin Liao, Patrick Shu-Hang Yung, Kai-Ming Chan
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.
This research project was made possible by resources donated by The Hong Kong Jockey Club Charities Trust. The study was financially supported by the Innovation Technology Fund from the Innovation and Technology Commission, Hong Kong Special Administrative Region Government, Project number: ITS/013/07.
- Sport, Exercise and Health Sciences