USING ARTIFICIAL NEURAL NETWORK FOR THE KICK TECHNIQUES CLASSIFICATION ? AN INITIAL STUDY

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871470" target="_blank" >RIV/70883521:28140/14:43871470 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
USING ARTIFICIAL NEURAL NETWORK FOR THE KICK TECHNIQUES CLASSIFICATION ? AN INITIAL STUDY
Original language description
In this initial study it is investigated the possibility of using simple artificial neural network for classification of kick techniques based on their specific force course profile. The aim is to investigate whether the neural networks could be a suitable tool for such task and can be possibly used in following research that will deal with classification of punch techniques and also the striker?s gender and level of training.
Czech name
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Czech description
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Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
28th European Conference on Modelling and Simulation
ISBN
978-0-9564944-8-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
382-386
Publisher name
ECMS
Place of publication
Nottingham
Event location
Brescia
Event date
May 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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