Hand gesture recognition system using single-mixture source separation and flexible neural trees
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092823" target="_blank" >RIV/61989100:27240/14:86092823 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1177/1077546313481001" target="_blank" >http://dx.doi.org/10.1177/1077546313481001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/1077546313481001" target="_blank" >10.1177/1077546313481001</a>
Alternative languages
Result language
angličtina
Original language name
Hand gesture recognition system using single-mixture source separation and flexible neural trees
Original language description
Surface Electromyography (sEMG) is widely used in evaluating the functional status of hands to assist in hand gesture recognition in many fields of treatment and rehabilitation. Multi-channel parallel interfaces (MCPIs) or time-division multiple access (TDMA) interfaces are the main technologies for the man-machine communication medium of sEMG recognition instruments. However, they can also result in a complex circuit connection and noise interference. A hand gesture recognition model based on sEMG signals by using single-mixture source separation and flexible neural trees (FNTs) is a breakthrough model of hand gesture recognition designed to conquer the above defects. It distinguishes itself from the traditional MCPI or TDMA interfaces by more accurate and reliable measurements of signals. Single-mixture source separation by use of ensemble empirical mode decomposition (EEMD), principal component analysis (PCA) and independent component analysis (ICA) is a novel single-input multiple-
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JVC/Journal of Vibration and Control
ISSN
1077-5463
e-ISSN
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Volume of the periodical
20
Issue of the periodical within the volume
9
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
1333-1342
UT code for WoS article
000338722600006
EID of the result in the Scopus database
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