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dc.contributor.authorLee, Jamesen_US
dc.contributor.authorBurkett, B.en_US
dc.contributor.authorThiel, Daviden_US
dc.contributor.authorJames, Danielen_US
dc.contributor.editorSubic, Fuss, Alam & Cliftonen_US
dc.date.accessioned2017-05-03T11:03:56Z
dc.date.available2017-05-03T11:03:56Z
dc.date.issued2011en_US
dc.date.modified2012-06-29T05:50:37Z
dc.identifier.issn1877-7058en_US
dc.identifier.doi10.1016/j.proeng.2011.05.065en_US
dc.identifier.urihttp://hdl.handle.net/10072/42607
dc.description.abstractAssessment of human movement kinetics and kinematics use various methods of capture. Typical systems used are 2D or 3D camera systems. These laboratory-based simulations have accurately estimated movement variables. While these systems have shown accuracy in assessment, there are inherent problems with capture capabilities including: simulation of actions, and limitation of the camera system's capture range. Therefore data capture in a realistic environment is usually quite inhibitory. Microtechnology has been shown to address these restrictive issues of assessing human movement. The use of inertial sensors for land and water based biomechanical applications has been steadily gaining popularity. Traditional systems are severely hampered in aquatic environments, due to problems imposed by liquids that are not present in gaseous surroundings. These limitations do not intrude on inertial sensor captured data. Prior to a water based research, inertial sensor technology would require validation. The aim of this study was to validate an inertial system to measure temporal kinematics of a freestyle armstroke on a swimming bench. Six participants simulated freestyle swimming action. Variables measured were components of the stroke phase. A triaxial inertial sensor was positioned on the dorsal side and at the distal end of the forearm. Validation was carried out with comparisons against 2D video capture and a 3D infrared camera system. For statistical analysis, a Pearson's correlation, typical error of estimate, and mean bias were applied. Very large correlations, along with minimal error and mean bias indicate that inertial sensors as a viable option for swimming armstroke assessment.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent345651 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.publisher.placeNetherlandsen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom148en_US
dc.relation.ispartofpageto153en_US
dc.relation.ispartofjournalProcedia Engineeringen_US
dc.relation.ispartofvolume13en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchBiomedical Instrumentationen_US
dc.subject.fieldofresearchcode090303en_US
dc.titleInertial sensor, 3D and 2D assessment of stroke phases in freestyle swimmingen_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.rights.copyrightCopyright 2011 Elsevier. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.en_US
gro.date.issued2011
gro.hasfulltextFull Text


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