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dc.contributor.authorJames, Danielen_US
dc.contributor.authorMcCarthy, Mitchellen_US
dc.contributor.authorRowlands, Daviden_US
dc.date.accessioned2017-04-04T14:49:23Z
dc.date.available2017-04-04T14:49:23Z
dc.date.issued2012en_US
dc.date.modified2013-06-05T02:13:46Z
dc.identifier.issn1877-7058en_US
dc.identifier.doi10.1016/j.proeng.2012.04.102en_US
dc.identifier.urihttp://hdl.handle.net/10072/47142
dc.description.abstractVideo analysis is a very important tool that is used by players, coaches and sports scientists since it is more intuitive and familiar than other analysis methods. One of the issues with using video is searching the video data to look for specific events to examine. The common technique for searching the video data involves watching the video and hand scoring it for later use or by visually searching until the event of interest appears. There have been attempts to automatically score the data using image processing techniques but these ...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.ispartofpagefrom598en_US
dc.relation.ispartofpageto603en_US
dc.relation.ispartofjournalProcedia Engineeringen_US
dc.relation.ispartofvolume34en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchBiomechanical Engineeringen_US
dc.subject.fieldofresearchcode090302en_US
dc.titleUsing inertial sensors to index into videoen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


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