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dc.contributor.authorDæhlin, Torstein Eriksen
dc.contributor.authorKrosshaug, Tron
dc.contributor.authorChiu, Loren Z. F.
dc.date.accessioned2017-08-08T09:40:38Z
dc.date.available2017-08-08T09:40:38Z
dc.date.issued2017
dc.identifier.citationJournal of Strength and Conditioning Research. 2017, 31, 1592-1600.nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/2450125
dc.descriptionI Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på www.nsca.com / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The definitive version is available at www.nsca.comnb_NO
dc.description.abstractWeightlifting technique can be objectively assessed from two-dimensional video recordings. Despite its importance, participants’ bar trajectories in research involving the snatch or clean exercises are often not reported, potentially due to the time required to digitize video. The purpose of this investigation was to evaluate the use of an LED-based marker, digital video and open source software to automatically track the bar end during weightlifting exercises. A former national-level weightlifter was recorded with a digital video camera performing the snatch, clean and jerk, and squat exercises. An LED-based marker was placed on the right end of the bar. This marker was automatically tracked using two open source software programs to obtain vertical and horizontal position coordinates. The LED-based marker was successfully auto-tracked for all videos, over a variety of camera settings. Further, the vertical and horizontal bar displacements, and vertical bar velocity were consistent between the two software programs. The present study demonstrates that an LED-based marker can be automatically tracked using open source software. This combination of an LED-based marker, consumer camera and open source software is an accessible, low cost method to objectively evaluate weightlifting technique.nb_NO
dc.language.isoengnb_NO
dc.publisherNational Strength and Conditioning Associationnb_NO
dc.subjectbiomechanicsnb_NO
dc.subjectmotion analysisnb_NO
dc.subjectresistancenb_NO
dc.subjectexercisenb_NO
dc.subjectsport sciencenb_NO
dc.titleEnhancing digital video analysis of bar kinematics in weightlifting: a case studynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of Strength and Conditioning Researchnb_NO
dc.identifier.doi10.1519/JSC.0000000000001618
dc.description.localcodeSeksjon for idrettsmedisinske fag / Department of Sports Medicinenb_NO


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