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dc.contributor.authorNeville, Jono
dc.contributor.authorRowlands, David
dc.contributor.authorWixted, Andrew
dc.contributor.authorJames, Daniel
dc.contributor.editorAlexsander Subic, Franz Konstantin Fuss Firoz Alam
dc.date.accessioned2017-09-14T23:34:08Z
dc.date.available2017-09-14T23:34:08Z
dc.date.issued2011
dc.date.modified2012-07-13T05:38:55Z
dc.identifier.issn1877-7058
dc.identifier.doi10.1016/j.proeng.2011.05.119
dc.identifier.urihttp://hdl.handle.net/10072/45891
dc.description.abstractAccurate activity monitoring techniques provide coaches and athletes with the tools to better analyze the effect of training sessions in the lead up to competition. The most common approach for monitoring elite level athletes comes in the form of using Global Position Systems (GPS) in an effort to obtain the time spent running in different speed levels as well as recording the total distance travelled. Accelerometers, on the other hand, are steadily growing in popularity as activity monitoring tools and offer researchers, coaches and players an alternative way to track athlete performance. Accelerometers have previously been used to approximate running speeds and energy expenditure in athletes running on a treadmill. It is often argued both by athletes and researchers that the biomechanical processes involved in treadmill running differ significantly when compared to over ground running. This paper extends previous research by exploring the use of accelerometers to accurately approximate over ground running speeds. Performance monitoring units were placed in a specially designed vest, that when worn by the player, positioned the tracking unit around the middle to upper thoracic vertebrae. An experiment was conducted in which the accelerometry data for experienced runners over a range of speeds was recorded alongside an external speed measurement. Participants were asked to run a series of 50 m stretches of track at what they perceived to be constant speeds. Players were asked to steadily increase their speed for each trial, beginning roughly at 8km/h and finishing at around 30km/h. The accelerometer data was exported to MATLAB where a series of post processing steps were used to extract the stride frequency. The stride frequency derived from the accelerometer data was compared to an externally measured speed and found to produce a linear relationship as expected from the literature. This research has provided the ground work for the use of accelerometers in measuring the speed of over-ground running.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom487
dc.relation.ispartofpageto492
dc.relation.ispartofjournalProcedia Engineering
dc.relation.ispartofvolume13
dc.rights.retentionY
dc.subject.fieldofresearchHuman Movement and Sports Science not elsewhere classified
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode110699
dc.subject.fieldofresearchcode09
dc.titleDetermining over ground running speed using inertial sensors
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.description.versionVersion of Record (VoR)
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2011 The Authors. Published by Elsevier Ltd. Open access under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) License which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited. You may not alter, transform, or build upon this work.
gro.date.issued2011
gro.hasfulltextFull Text
gro.griffith.authorRowlands, David D.
gro.griffith.authorJames, Daniel A.
gro.griffith.authorWixted, Andrew J.
gro.griffith.authorNeville, Jono G.


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