EMG analysis for basic self-defense techniques

Lapková, Dora; Králík, Lukáš; Adámek, Milan

dc.title	EMG analysis for basic self-defense techniques	en
dc.contributor.author	Lapková, Dora
dc.contributor.author	Králík, Lukáš
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	353
dc.citation.epage	362
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_32
dc.relation.uri	https://link.springer.com/chapter/10.1007/978-3-319-33622-0_32
dc.subject	EMG	en
dc.subject	Self-defense	en
dc.subject	Striking techniques	en
dc.description.abstract	Electromyography (EMG) is an electro diagnostic medicine method used for measuring an electrical activity of skeletal muscles and nerves that control muscles. Beside the medicine, EMG is also used for measuring a local muscle load and for the purpose of this research EMG was used for determination of utilization of individual great muscles in self-defense techniques. The aim was obtaining new inputs for artificial neural networks. Simultaneously this research proceeds on previous project and researches. © Springer International Publishing Switzerland 2016.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1006437
utb.identifier.obdid	43875727
utb.identifier.scopus	2-s2.0-84964712082
utb.identifier.wok	000385788200032
utb.source	d-scopus
dc.date.accessioned	2016-07-26T14:58:31Z
dc.date.available	2016-07-26T14:58:31Z
utb.identifier.utb-sysno	87686
utb.contributor.internalauthor	Lapková, Dora
utb.contributor.internalauthor	Králík, Lukáš
utb.contributor.internalauthor	Adámek, Milan
utb.fulltext.affiliation	Dora Lapkova, Lukas Kralik 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 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
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.