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dc.contributor.authorRowlands, David
dc.contributor.authorJames, Daniel
dc.contributor.editorAleksandar Subic, Franz Konstantin Fuss, Firoz Alam and Patrick Clifton
dc.date.accessioned2017-09-14T23:32:05Z
dc.date.available2017-09-14T23:32:05Z
dc.date.issued2011
dc.date.modified2012-07-12T22:57:24Z
dc.identifier.issn18777058en_US
dc.identifier.doi10.1016/j.proeng.2011.05.115en_US
dc.identifier.urihttp://hdl.handle.net/10072/45807
dc.description.abstractThere are many aspects of the athlete's performance that can and need to be measured to improve performance or to fine-tune skills. This can be done visually by a coach or by using sensors attached to the athlete. This paper discusses the common sensor data capture methods and the main requirements for a data capturing system with special attention paid to the requirements for a real time data capturing system. An implementation of a real time data capture system consisting of an iPhone and a laptop is presented. The system was tested on a runner performing a slow jog. The acceleration signatures for the running was streamed from the iPhone to the laptop and displayed in real time thus validating the system.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherElsevier BVen_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom464en_US
dc.relation.ispartofpageto469en_US
dc.relation.ispartofjournalProcedia Engineeringen_US
dc.relation.ispartofvolume13en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchWireless Communicationsen_US
dc.subject.fieldofresearchcode100510en_US
dc.titleReal time data streaming from smart phonesen_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 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.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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