Using Artificial Neural Network for Force Profile Analysis in Professional Defence

Lapková, Dora; Pluháček, Michal; Adámek, Milan

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.