Sensing for stride information of sprinters

Lawrence Cheng*, Huiling Tan, Gregor Kuntze, Kyle Roskilly, John Lowe, Ian N. Bezodis, Stephen Hailes, Alan Wilson, David G. Kerwin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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).

Original languageEnglish
Title of host publicationWireless Sensor Networks - 7th European Conference, EWSN 2010, Proceedings
Pages147-161
Number of pages15
DOIs
Publication statusPublished - 2010
Event7th European Conference on Wireless Sensor Networks, EWSN 2010 - Coimbra, Portugal
Duration: 17 Feb 201019 Feb 2010

Publication series

NameLecture Notes in Computer Science
Volume5970
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th European Conference on Wireless Sensor Networks, EWSN 2010
Country/TerritoryPortugal
CityCoimbra
Period17/02/1019/02/10

Keywords

  • Application
  • Performance monitoring
  • Sports
  • Stride information
  • Wireless sensing

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