Show simple item record

dc.contributor.authorLefèvre, Thomas
dc.contributor.authorGuignard, Brice
dc.contributor.authorKarcher, Claude
dc.contributor.authorReche, Xavier
dc.contributor.authorFont, Roger
dc.contributor.authorKomar, John
dc.date.accessioned2025-01-13T12:34:18Z
dc.date.available2025-01-13T12:34:18Z
dc.date.issued2023-08
dc.identifier.citationLefèvre T, Guignard B, Karcher C, Reche X, Font R, Komar J. A deep dive into the use of local positioning system in professional handball: automatic detection of players’ orientation, position and game phases to analyse specific physical demands. PLoS ONE. 2023 Aug;18(8):e0289752. DOI: 10.1371/journal.pone.0289752ca
dc.identifier.issn1932-6203ca
dc.identifier.urihttp://hdl.handle.net/20.500.12367/2867
dc.description.abstractThe objective of this study is to automate and analyse the quantification of external load during an elite men’s handball match. This study was carried out using data from a local positioning system and inertial measurement units. The literature review leads us to assume that physical demands are different depending on position, player specialty and phases of the game. In order to do this analysis, raw data was used from professional competitors of a Spanish club during National and European competition matches. First, a game phase algorithm was designed to automate phase recognition. Then, a descriptive evaluation of the means and standard deviation was performed with the following variables: total distance, total time, total Accel’Rate, the percentages of distance and time per speed and displacement direction. [...]ca
dc.format.extent18 p.ca
dc.language.isoengca
dc.publisherPLOSca
dc.relation.ispartofPLoS ONE. 2023 Aug;18(8):e0289752ca
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherGamesca
dc.subject.otherSportsca
dc.subject.otherRunningca
dc.subject.otherAlgorithmsca
dc.subject.otherInertiaca
dc.subject.otherAccelerometersca
dc.subject.otherComputer softwareca
dc.subject.otherTest statisticsca
dc.titleA deep dive into the use of local positioning system in professional handball: automatic detection of players’ orientation, position and game phases to analyse specific physical demandsca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.identifier.doi10.1371/journal.pone.0289752ca


Files in this item

 

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Share on TwitterShare on LinkedinShare on FacebookShare on TelegramShare on WhatsappPrint