OU Portal
Log In
Welcome
Applicants
Z6_60GI02O0O8IDC0QEJUJ26TJDI4
Error:
Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.
{}
Close
Publikační činnost
Probíhá načítání, čekejte prosím...
publicationId :
tempRecordId :
actionDispatchIndex :
navigationBranch :
pageMode :
tabSelected :
isRivValid :
Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
Dynamical Motion Capture System Involving via Neural Networks
Citace
Volná, E., Jarušek, R., Kotyrba, M. a Rucký, D. Dynamical Motion Capture System Involving via Neural Networks.
In:
Springer Proceedings in Complexity.
Springer Netherlands, 2014. s. 263-568. ISBN 978-94-007-7361-5.
Subtitle
Publication year:
2014
Obor:
Informatika
Number of pages:
6
Page from:
263
Page to:
568
Form of publication:
Tištená verze
ISBN code:
978-94-007-7361-5
ISSN code:
2213-8684
Proceedings title:
Springer Proceedings in Complexity
Proceedings:
Mezinárodní
Publisher name:
Springer Netherlands
Place of publishing:
Neuveden
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
Chaos, Complexity and Leadership 2012
Conference venue:
Ankara
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
Motion Capture System, Neural Networks, Dynamical Systems
Annotation in original language:
The aim of this article is to outline possibilities of sound and its physical properties during shooting of moving objects. Attention was devoted to the specific location of a fixed point in the space and time. We proposed appropriate topology of the system that depends on the required accuracy, acoustic properties and selected sound technologies. Developed software, which processes a detected sound signal, is based on artificial neural networks. The neural network identifies a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. Consequently, another neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. Developed software is implemented in C language.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/14:A14018WX
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules