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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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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