Utilization of motion animation for analysis of basic self-defense techniques

Lapková, Dora; Králík, Lukáš; Komínková Oplatková, Zuzana; Adámek, Milan

dc.title	Utilization of motion animation for analysis of basic self-defense techniques	en
dc.contributor.author	Lapková, Dora
dc.contributor.author	Králík, Lukáš
dc.contributor.author	Komínková Oplatková, Zuzana
dc.contributor.author	Adámek, Milan
dc.relation.ispartof	Advances in Intelligent Systems and Computing
dc.identifier.issn	2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn	978-3-319-33620-6
dc.identifier.isbn	978-3-319-33622-0
dc.date.issued	2016
utb.relation.volume	465
dc.citation.spage	341
dc.citation.epage	352
dc.event.title	5th Computer Science On-line Conference, CSOC 2016
dc.event.location	Prague
utb.event.state-en	Czech Republic
utb.event.state-cs	Česká republika
dc.event.sdate	2015-04-27
dc.event.edate	2015-04-30
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	Springer Verlag
dc.identifier.doi	10.1007/978-3-319-33622-0_31
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-33622-0_31
dc.subject	Animation	en
dc.subject	Biometric system	en
dc.subject	Self-defense	en
dc.subject	Striking techniques	en
dc.description.abstract	This paper is focused on possible utilization of an artificial neural network connected with biometric systems and motion animation for the purpose of training of self-defense techniques. The described experiment was performed in a specialized laboratory of university hospital in Brno with the help of VICON system. The aim was to obtain new inputs for artificial neural networks. Simultaneously, this research proceeds with previous project and research. This paper also contains the most interesting results from the experiment. © Springer International Publishing Switzerland 2016.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006443
utb.identifier.obdid	43875828
utb.identifier.scopus	2-s2.0-84964733192
utb.identifier.wok	000385788200031
utb.source	d-scopus
dc.date.accessioned	2016-07-26T14:58:32Z
dc.date.available	2016-07-26T14:58:32Z
utb.identifier.utb-sysno	87686
utb.contributor.internalauthor	Lapková, Dora
utb.contributor.internalauthor	Králík, Lukáš
utb.contributor.internalauthor	Komínková Oplatková, Zuzana
utb.contributor.internalauthor	Adámek, Milan
utb.fulltext.affiliation	Dora Lapkova, Lukas Kralik, Zuzana Oplatkova Kominkova and Milan Adamek D. Lapkova ( ✉ ) ⋅ M. Adamek Faculty of Applied Informatics, Department of Security Engineering, Tomas Bata University in Zlin, Nam. T. G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: dlapkova@fai.utb.cz M. Adamek e-mail: adamek@fai.utb.cz L. Kralik ⋅ Z.O. Kominkova Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlin, Nam. T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: kralik@fai.utb.cz Z.O. Kominkova e-mail: kominkovaoplatkova@fai.utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	This work was supported by by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/CebiaTech/2016/006.Further this work was supported by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also supported by Grant Agency of the Czech Republic—GACR P103/15/06700S.