dc.contributor.author |
Connaghan, Damien |
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dc.contributor.author |
Kelly, Philip |
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dc.contributor.author |
O'Connor, Noel E. |
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dc.contributor.author |
Gaffney, Mark |
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dc.contributor.author |
Ó Mathúna, S. Cian |
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dc.date.accessioned |
2012-02-02T12:45:17Z |
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dc.date.available |
2012-02-02T12:45:17Z |
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dc.date.copyright |
2011-10-31 |
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dc.date.issued |
2011-10-31 |
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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 |
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dc.identifier.uri |
http://hdl.handle.net/10468/508 |
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dc.identifier.doi |
10.1109/ICSENS.2011.6127084 |
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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 |
http://ieee-sensors2011.org/ieee-sensors-2011-conference |
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 |
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dc.relation.uri |
https://ieeexplore.ieee.org/document/6127084 |
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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. |
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dc.subject |
Wireless inertial measuring unit (WIMU) |
en |
dc.subject |
Sensors |
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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 |
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dc.type |
Conference item |
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dc.internal.authorurl |
http://www.tyndall.ie/ |
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dc.internal.authorcontactother |
Mark Gaffney Tyndall National Institute, University College Cork, Cork, Ireland Email: mark.gaffney@tyndall.ie |
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dc.internal.authorcontactother |
Michael Walsh Tyndall National Institute, University College Cork, Cork, Ireland Email: michael.walsh@tyndall.ie |
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dc.internal.authorcontactother |
S. Cian Ó Mathúna Tyndall National Institute, University College Cork, Cork, Ireland Email: cian.omathuna@tyndall.ie |
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dc.internal.availability |
Full text available |
en |
dc.description.version |
Accepted Version |
en |
dc.internal.rssid |
288214447 |
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dc.contributor.funder |
Science Foundation Ireland
|
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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 |
cian.omathuna@tyndall.ie |
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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