Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/31749
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cummins, Cloe | en |
dc.contributor.author | Charlton, Glen | en |
dc.contributor.author | Naughton, Mitchell | en |
dc.contributor.author | Jones, Ben | en |
dc.contributor.author | Minahan, Claire | en |
dc.contributor.author | Murphy, Aron | en |
dc.date.accessioned | 2021-10-22T04:14:41Z | - |
dc.date.available | 2021-10-22T04:14:41Z | - |
dc.date.issued | 2022-07 | - |
dc.identifier.citation | Journal of Strength and Conditioning Research, 36(7), p. 1951-1955 | en |
dc.identifier.issn | 1533-4287 | en |
dc.identifier.issn | 1064-8011 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/31749 | - |
dc.description.abstract | Cummins, C, Charlton, G, Naughton, M, Jones, B, Minahan, C, and Murphy, A. The validity of automated tackle detection in women's rugby league. <i>J Strength Cond Res</i> XX(X): 000-000, 2020 -- This study assessed the validity of microtechnology devices to automatically detect and differentiate tackles in elite women's rugby league match-play. Elite female players (<i>n</i> = 17) wore a microtechnology device (OptimEye S5 device; Catapult Group International) during a representative match, which involved a total of 512 tackles of which 365 were defensive and 147 were attacking. Tackles automatically detected by Catapult's tackle detection algorithm and video-coded tackles were time synchronized. True positive, false negative and false positive events were utilized to calculate sensitivity (i.e., when a tackle occurred, did the algorithm correctly detect this event) and precision (i.e., when the algorithm reported a tackle, was this a true event based on video-coding). Of the 512 video-derived attacking and defensive tackle events, the algorithm was able to detect 389 tackles. The algorithm also produced 81 false positives and 123 false negatives. As such when a tackle occurred, the algorithm correctly identified 76.0% of these events. When the algorithm reported that a tackle occurred, this was an actual event in 82.8% of circumstances. Across all players, the algorithm was more sensitive to the detection of an attacking event (sensitivity: 78.2%) as opposed to a defensive event (sensitivity: 75.1%). The sensitivity and precision of the algorithm was higher for forwards (sensitivity: 81.8%; precision: 92.1%) when compared with backs (sensitivity: 64.5%; precision: 66.1%). Given that understanding the tackle demands of rugby league is imperative from both an injury-prevention and physical-conditioning perspective there is an opportunity to develop a specific algorithm for the detection of tackles within women's rugby league. | en |
dc.language | en | en |
dc.publisher | Lippincott Williams & Wilkins | en |
dc.relation.ispartof | Journal of Strength and Conditioning Research | en |
dc.title | The Validity of Automated Tackle Detection in Women's Rugby League | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1519/JSC.0000000000003745 | en |
dc.identifier.pmid | 32956263 | en |
local.contributor.firstname | Cloe | en |
local.contributor.firstname | Glen | en |
local.contributor.firstname | Mitchell | en |
local.contributor.firstname | Ben | en |
local.contributor.firstname | Claire | en |
local.contributor.firstname | Aron | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | Office of Faculty of Science, Ag, Business and Law | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | ccummin5@une.edu.au | en |
local.profile.email | gcharlto@une.edu.au | en |
local.profile.email | mnaughto@une.edu.au | en |
local.profile.email | bjones64@une.edu.au | en |
local.profile.email | amurph31@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | United States of America | en |
local.format.startpage | 1951 | en |
local.format.endpage | 1955 | en |
local.identifier.scopusid | 85124512010 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 36 | en |
local.identifier.issue | 7 | en |
local.contributor.lastname | Cummins | en |
local.contributor.lastname | Charlton | en |
local.contributor.lastname | Naughton | en |
local.contributor.lastname | Jones | en |
local.contributor.lastname | Minahan | en |
local.contributor.lastname | Murphy | en |
dc.identifier.staff | une-id:ccummin5 | en |
dc.identifier.staff | une-id:gcharlto | en |
dc.identifier.staff | une-id:mnaughto | en |
dc.identifier.staff | une-id:bjones64 | en |
dc.identifier.staff | une-id:amurph31 | en |
local.profile.orcid | 0000-0003-1960-8916 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/31749 | en |
local.date.onlineversion | 2020-09-17 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | The Validity of Automated Tackle Detection in Women's Rugby League | en |
local.relation.fundingsourcenote | National Rugby League (for C. Cummins) | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Cummins, Cloe | en |
local.search.author | Charlton, Glen | en |
local.search.author | Naughton, Mitchell | en |
local.search.author | Jones, Ben | en |
local.search.author | Minahan, Claire | en |
local.search.author | Murphy, Aron | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.available | 2020 | en |
local.year.published | 2022 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/e64bfedd-7b40-47ec-8436-08225bf2954c | en |
local.subject.for2020 | 420799 Sports science and exercise not elsewhere classified | en |
local.subject.for2020 | 420701 Biomechanics | en |
local.subject.seo2020 | 130602 Organised sports | en |
Appears in Collections: | Journal Article School of Science and Technology |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
6
checked on Sep 7, 2024
Page view(s)
1,284
checked on Jul 21, 2024
Download(s)
2
checked on Jul 21, 2024
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.