Automatic detection of collisions in elite level rugby union using a wearable sensing device

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dc.contributor.author Kelly, Daniel
dc.contributor.author Coughlan, Garrett
dc.contributor.author Green, Brian
dc.contributor.author Caulfield, Brian
dc.date.accessioned 2012-08-20T16:17:22Z
dc.date.available 2012-08-20T16:17:22Z
dc.date.copyright 2012 International Sports Engineering Association en
dc.date.issued 2012
dc.identifier.citation Sports Engineering en
dc.identifier.issn 1369-7072 (Print)
dc.identifier.issn 1460-2687 (Online)
dc.identifier.uri http://hdl.handle.net/10197/3758
dc.description.abstract Elite rugby union teams currently employ the latest technology to monitor and evaluate the physical demands of training and games on their players. Tackling has been shown to be the most common cause of injury in rugby union, yet current player monitoring technology does not effectively evaluate player tackling measurements. Currently, to evaluate measurements specific to player tackles, a time-consuming manual analysis of player sensor data and video footage is required. The purpose of this work is to investigate tackle modeling techniques which can be utilised to automatically detect player tackles and collisions using sensing technology already being used by elite international and club level rugby union teams. This paper discusses issues relevant to automatic tackle analysis, describes a technique to detect tackles using sensing data and validates the technique by comparing automatically detected collisions to manually labeled collisions using data from elite club and international level players. The results of the validation show that the system is able to consistently identify collisions with very few false posi- tives and false negatives, achieving a recall and precision rating of 0.933 and 0.958, respectively. The aim is that the automatically detected tackles can provide coaching, medical and strength and conditioning staff with objective tackle-specific measurements, in real time, which can be used in injury prevention and rehabilitation strategies. en
dc.description.sponsorship Science Foundation Ireland en
dc.format.extent 580874 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Springer en
dc.relation.requires CLARITY Research Collection en
dc.relation.requires Public Health, Physiotherapy & Population Science Research Collection en
dc.rights The final publication is available at www.springerlink.com en
dc.subject Rugby tackle en
dc.subject Injury prevention en
dc.subject Pattern recognition en
dc.subject.lcsh Tackling (Football)--Safety measures en
dc.subject.lcsh Tackling (Football)--Computer simulation en
dc.subject.lcsh Rugby football injuries--Prevention en
dc.subject.lcsh Pattern recognition systems en
dc.title Automatic detection of collisions in elite level rugby union using a wearable sensing device en
dc.type Journal Article en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.identifier.volume 15 en
dc.identifier.issue 2 en
dc.identifier.startpage 81 en
dc.identifier.endpage 92 en
dc.identifier.doi 10.1007/s12283-012-0088-5
dc.neeo.contributor Kelly|Daniel|aut|
dc.neeo.contributor Coughlan|Garrett|aut|
dc.neeo.contributor Green|Brian|aut|
dc.neeo.contributor Caulfield|Brian|aut|


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