Multi-sensor classification of tennis strokes

Show simple item record Connaghan, Damien Kelly, Philip O'Connor, Noel E. Gaffney, Mark Ó Mathúna, S. Cian 2012-02-02T12:45:17Z 2012-02-02T12:45:17Z 2011-10-31 2011-10-31
dc.identifier.citation Connaghan, D., Kelly, P., Connor, N. E. O., Gaffney, M., Walsh, M. and Ó Mathuna, S. C. (2011) 'Multi-sensor classification of tennis strokes'. SENSORS, 2011 IEEE, Limerick, Ireland 28-31 October, pp. 1437-1440. doi: 10.1109/ICSENS.2011.6127084 en
dc.identifier.startpage 1437 en
dc.identifier.endpage 1440 en
dc.identifier.isbn 978-1-4244-9290-9
dc.identifier.issn 1930-0395
dc.identifier.doi 10.1109/ICSENS.2011.6127084
dc.description.abstract In this work, we investigate tennis stroke recognition using a single inertial measuring unit attached to a player’s forearm during a competitive match. This paper evaluates the best approach for stroke detection using either accelerometers, gyroscopes or magnetometers, which are embedded into the inertial measuring unit. This work concludes what is the optimal training data set for stroke classification and proves that classifiers can perform well when tested on players who were not used to train the classifier. This work provides a significant step forward for our overall goal, which is to develop next generation sports coaching tools using both inertial and visual sensors in an instrumented indoor sporting environment. en
dc.description.sponsorship Science Foundation Ireland (CSET - Centre for Science, Engineering and Technology, Grant No. 07/CE/11147); Science Foundation Ireland (National Access Programme) en
dc.description.uri en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IEEE en
dc.relation.ispartof IEEE Sensors 2011, 28-31 Oct. 2011. Limerick, Ireland
dc.rights (c) 2011, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en
dc.subject Wireless inertial measuring unit (WIMU) en
dc.subject Sensors en
dc.subject Sport en
dc.subject Tennis stroke en
dc.subject Stroke classification en
dc.subject.lcsh Tennis--Evaluation en
dc.subject.lcsh Accelerometers en
dc.subject.lcsh Visualization en
dc.title Multi-sensor classification of tennis strokes en
dc.type Conference item en
dc.internal.authorurl en
dc.internal.authorcontactother Mark Gaffney Tyndall National Institute, University College Cork, Cork, Ireland Email: en
dc.internal.authorcontactother Michael Walsh Tyndall National Institute, University College Cork, Cork, Ireland Email: en
dc.internal.authorcontactother S. Cian Ó Mathúna Tyndall National Institute, University College Cork, Cork, Ireland Email: en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.internal.rssid 288214447
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Limerick, Ireland en
dc.internal.IRISemailaddress en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Centre for Science Engineering and Technology (CSET)/07/CE/I1147/IE/CSET CLARITY: Bringing Information to Life/

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