Sensing for stride information of sprinters

Authors:
Lawrence Cheng;Huiling Tan;Gregor Kuntze;Kyle Roskilly;John Lowe;Ian N. Bezodis;Stephen Hailes;Alan Wilson;David G. Kerwin
Affiliations:
Computer Science Department, University College London, London, UK;Structure and Motion Lab, Royal Veterinary College, Herts, UK;Cardiff School of Sport, University of Wales Institute, Cardiff, Cardiff, UK;Structure and Motion Lab, Royal Veterinary College, Herts, UK;Structure and Motion Lab, Royal Veterinary College, Herts, UK;Cardiff School of Sport, University of Wales Institute, Cardiff, Cardiff, UK;Computer Science Department, University College London, London, UK;Structure and Motion Lab, Royal Veterinary College, Herts, UK;Cardiff School of Sport, University of Wales Institute, Cardiff, Cardiff, UK
Venue:
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Year:
2010

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Abstract

Accurate sprint-related information, such as stride times, stance times, stride lengths, continuous Centre-of-Mass (CoM) displacements and split times of sprinters are important to both sprint coaches and biomechanics researchers. These information are traditionally captured using camera-based systems which are very expensive and time-consuming to setup. This paper investigates - through a series of experiments - whether an integrated sensing system would provide a practical, cost-effective alternative to measuring stride-related information of sprinters. The results show that the system achieves an accuracy within 5ms for stance time and stride time measurements, and ~10cm for localisation-related information such as CoM forward displacement and CoM stride displacement (i.e. stride length).