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dc.contributor.authorCheng, Lawrence
dc.contributor.authorTan, Huiling
dc.contributor.authorKuntze, Gregor
dc.contributor.authorRoskilly, Kyle
dc.contributor.authorLowe, John
dc.contributor.authorBezodis, Ian
dc.contributor.authorHailes, Stephen
dc.contributor.authorWilson, Alan
dc.contributor.authorKerwin, David G.
dc.date.accessioned2013-04-03T12:52:37Z
dc.date.available2013-04-03T12:52:37Z
dc.date.issued2010
dc.identifier.citationLecture Notes in Computer Science: Wireless Sensor Networks. 5970, 147-161
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10369/4012
dc.description.abstractAccurate 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).
dc.language.isoenen_GB
dc.publisherSpringer Verlag
dc.relation.ispartofseriesLecture Notes in Computer Science: Wireless Sensor Networks
dc.titleSensing for Stride Information of Sprintersen_GB
dc.typeArticleen_GB
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-11917-0_10


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