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Analysis of Vestibular-Ocular Reflex by Evolutionary Framework

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03145660" target="_blank" >RIV/68407700:21230/08:03145660 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of Vestibular-Ocular Reflex by Evolutionary Framework

  • Original language description

    In this paper the problem of analysis of eye movements using sinusoidal head rotation test is presented. The goal of the method is to discard automatically the effect of the fast phase-saccades and consequently calculate the response of vestibular systemin the form of phase shift and amplitude. The comparison of threshold detection and inductive models trained on saccades is carried out. After saccades detection we are left with discontinuous signal segments. This paper presents an approach to align them to form a smooth signal with the same frequencies that were originally present in the source signal. The approach is based on a direct estimation of the signal component parameters using the evolutionary strategy with covariance matrix adaptation. Theperformance of evolutionary approach is compared to least-square multimodal sinus fit.

  • Czech name

    Analýza vestibulo-okulárního reflexu pomoci evolučních algoritmů

  • Czech description

    Článek popisuje analýzu vestibulo-okulárního reflexu pomocí evolučních algoritmů.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/KJB201210701" target="_blank" >KJB201210701: Automated Knowledge Extraction</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Neural Networks - ICANN 2008, PT I

  • ISBN

    978-3-540-87535-2

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Prague

  • Event date

    Sep 3, 2008

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000259566200047