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dc.contributor.authorSeifert, Ludovic
dc.contributor.authorL Hermette, Maxime
dc.contributor.authorKomar, John
dc.contributor.authorOrth, Dominic
dc.contributor.authorMell, Florian
dc.contributor.authorMerriaux, Pierre
dc.contributor.authorGrenet, Pierre
dc.contributor.authorCaritu, Yanis
dc.contributor.authorHérault, Romain
dc.contributor.authorDovgalecs, Vladislavs
dc.contributor.authorDavids, Keith
dc.date.accessioned2014-12-15T08:22:14Z
dc.date.available2014-12-15T08:22:14Z
dc.date.issued2014
dc.identifier.citationSeifert, L., L’Hermette, M., Komar, J., Orth, D., Mell, F., Merriaux, P., . . . Davids, K. (2014). Pattern recognition in cyclic and discrete skills performance from inertial measurement units. In D. James (Ed.), <em>The 2014 conference of the International Sports Engineering Association (ISEA 2014)</em> (pp. 196-201). Procedia Engineering (72). Elsevier BV. <a href="http://dx.doi.org/10.1016/j.proeng.2014.06.033">doi:10.1016/j.proeng.2014.06.033</a>
dc.identifier.otherTUTKAID_63765
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/44874
dc.description.abstractThe aim of this study is to compare and validate an Inertial Measurement Unit (IMU) relative to an optic system, and to propose methods for pattern recognition to capture behavioural dynamics during sport performance. IMU validation was conducted by comparing the motions of the two arms of a compass, which was equipped with IMUs and reflective landmarks detected by a multi-camera system. Spearman’s rank correlation tests showed good correlations between the IMU and multi-camera system, especially when the angles were normalized. Bland-Altman plot, root mean square and the normalized pairwise variability index showed low differences between the two systems, confirming the good accuracy levels of the IMUs. Regarding pattern recognition, joint angle and limb orientation was respectively studied for 25 m during breaststroke swimming and 10 m of indoor rock climbing in athletes of various skill levels. Pattern recognition was also conducted on a macroscopic parameter that captured inter-limb coordination. IMUs revealed the potential to assess movement and coordination variability between and within individuals from joint angle measures in swimming and limb orientation time-series data in climbing.
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofThe 2014 conference of the International Sports Engineering Association (ISEA 2014)
dc.relation.ispartofseriesProcedia Engineering
dc.subject.otherinertial measurement uniten
dc.subject.othercoordination dynamicsen
dc.titlePattern recognition in cyclic and discrete skills performance from inertial measurement units
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201411263380
dc.contributor.laitosLiikuntakasvatuksen laitosfi
dc.contributor.laitosDepartment of Sport Sciencesen
dc.contributor.oppiaineLiikuntapedagogiikka
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2014-11-26T16:30:31Z
dc.type.coarconference paper
dc.description.reviewstatuspeerReviewed
dc.format.pagerange196-201
dc.relation.issn1877-7058
dc.type.versionpublishedVersion
dc.rights.copyright© 2014 Elsevier Ltd. Open access under CC BY-NC-ND license. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work in properly cited. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated.
dc.rights.accesslevelopenAccessfi
dc.rights.urlhttp://creativecommons.org/licenses/by-nc-nd/3.0/
dc.relation.doi10.1016/j.proeng.2014.06.033


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© 2014 Elsevier Ltd. Open access under CC BY-NC-ND license. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work in properly cited. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated.
Except where otherwise noted, this item's license is described as © 2014 Elsevier Ltd. Open access under CC BY-NC-ND license. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work in properly cited. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated.