Application of Neural Networks for the Classification of Gender from Kick Force Profile ? A Small Scale Study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871479" target="_blank" >RIV/70883521:28140/14:43871479 - 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
Application of Neural Networks for the Classification of Gender from Kick Force Profile ? A Small Scale Study
Original language description
The possibility of using artificial neural network for person gender classification based on kick force profile is investigated in this paper. The input data are transformed using discrete cosine transformation for easier classification. Extensive tuningis performed on the proposed artificial neural network to obtain better results. This preliminary study sums up foundations for future large-scale studies.
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
Proceedings of the Fifth International Cnference on Innovations in Bio-Inspired Computing and Applications
ISBN
978-3-319-08155-7
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
429-438
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
Ostrava
Event date
Jun 23, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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