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Using Artificial Neural Network for Force Profile Analysis in Professional Defence

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dc.title Using Artificial Neural Network for Force Profile Analysis in Professional Defence en
dc.contributor.author Lapková, Dora
dc.contributor.author Pluháček, Michal
dc.contributor.author Adámek, Milan
dc.relation.ispartof Proceedings - 2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014
dc.identifier.isbn 978-1-4799-4324-1
dc.date.issued 2014
dc.citation.spage 10
dc.citation.epage 14
dc.event.title 2014 International Conference on Mathematics and Computers in Sciences and in Industry, MCSI 2014
dc.event.location Varna
utb.event.state-en Bulgaria
utb.event.state-cs Bulharsko
dc.event.sdate 2014-09-13
dc.event.edate 2014-09-15
dc.type conferenceObject
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/MCSI.2014.61
dc.relation.uri https://ieeexplore.ieee.org/document/7046153
dc.subject Direct punch en
dc.subject Force en
dc.subject Kick techniques en
dc.subject Professional defence en
dc.subject Tensometric sensor en
dc.description.abstract In this paper the possibility of using artificial neural network (ANN) in the classification of force profiles of different striking techniques is deeply analyzed and discussed. Classification of direct punch force profiles is presented in this paper alongside with results of previous research of kick techniques classification. The results are summarized in tables and followed by discussion. © 2014 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005246
utb.identifier.obdid 43872949
utb.identifier.scopus 2-s2.0-84983208332
utb.identifier.wok 000380446200003
utb.source j-wok
dc.date.accessioned 2015-08-14T09:26:17Z
dc.date.available 2015-08-14T09:26:17Z
utb.contributor.internalauthor Lapková, Dora
utb.contributor.internalauthor Pluháček, Michal
utb.contributor.internalauthor Adámek, Milan
utb.fulltext.affiliation Dora Lapkova Tomas Bata University in Zlin Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin Czech Republic dlapkova@fai.utb.cz Michal Pluhacek Tomas Bata University in Zlin Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin Czech Republic pluhacek@fai.utb.cz Milan Adamek Tomas Bata University in Zlin Faculty of Applied Informatics Nam T.G. Masaryka 5555, 760 01 Zlin Czech Republic adamek@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Internal Grant Agency at TBU in Zlín, project No. IGA/FAI/2014/036, IGA/FAI/2014/10 and by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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