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Publication Detail
Sensing for stride information of sprinters
  • Publication Type:
    Conference
  • Authors:
    Cheng L, Tan H, Kuntze G, Roskilly K, Lowe J, Bezodis IN, Hailes S, Wilson A, Kerwin DG
  • Publication date:
    26/04/2010
  • Pagination:
    147, 161
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    5970 LNCS
  • ISBN-10:
    3642119166
  • Status:
    Published
  • Print ISSN:
    0302-9743
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). © 2010 Springer Berlin Heidelberg.
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