Show simple item record

dc.contributor.authorNeville, Jono
dc.contributor.authorRowlands, David
dc.contributor.authorWixted, Andrew
dc.contributor.authorJames, Daniel
dc.contributor.editorPatrick Drane and James Sherwood
dc.date.accessioned2017-09-14T23:01:57Z
dc.date.available2017-09-14T23:01:57Z
dc.date.issued2012
dc.date.modified2013-06-03T04:48:11Z
dc.identifier.issn1877-7058en_US
dc.identifier.doi10.1016/j.proeng.2012.04.076en_US
dc.identifier.urihttp://hdl.handle.net/10072/47169
dc.description.abstractIn elite level team sport, the application of longitudinal data analysis is often overlooked due to the tools and techniques required for processing large quantities of data. The research presented in this paper explores the information available to coaches and players when looking at data taken from an entire first grade Australian Rules Football team for a full non-premiership season. Specifically this paper explores the relationship between training and game demand on an individual level as well as exploring the relative demand on different player field positions. The hardware used in this research was the GPSports SPI Inertial tracking unit. This device contained a GPS unit tracking at 5 Hz providing the latitudinal and longitudinal position of the players. This GPS information was then extracted in order to reconstruct the speeds of the athlete throughout a game. This research found strong correlations between the overall intensities of the training sessions and the physical demand of first grade games. It also identified small differences in the demand of different on field positions.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom443en_US
dc.relation.ispartofpageto448en_US
dc.relation.ispartofjournalProcedia Engineeringen_US
dc.relation.ispartofvolume34en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchBiomechanical Engineeringen_US
dc.subject.fieldofresearchcode090302en_US
dc.titleApplication of GPS devices to longitudinal analysis on game and training dataen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/3.0/en_US
dc.description.versionPublisheden_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2012 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.en_US
gro.date.issued2012
gro.hasfulltextFull Text


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record