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EMG analysis for basic self-defense techniques

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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.
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