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Bio-inspired Methods for Analysis and Classification of Reading Eye Movements of Dyslexic Children.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03113409" target="_blank" >RIV/68407700:21230/05:03113409 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bio-inspired Methods for Analysis and Classification of Reading Eye Movements of Dyslexic Children.

  • Original language description

    The paper describes real practical problem of analyzing diagnostic significance of dyslexic eye movements. The biologically inspired methods were used and compared with classical methods of artificial intelligence. Eye movements of 52 school children were measured using videooculographic (VOG) technique, during a reading task. There were three groups of subjects - normal readers, retarded readers and dyslexics. The main goal was to analyze the possibility of dyslexia detection only from the eye movementsignal. Time and frequency domain features were extracted and subset of significant features was chosen by a simple feature selection method. The selected feature subset was visualized using a self-organizing map (SOM). Clusters were formed by the SOM proving that proposed methodology is suitable for automatic dyslexia detection.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2005

  • Confidentiality

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

Data specific for result type

  • ISBN

  • Place of publication

  • Publisher/client name

  • Version

  • Carrier ID

    neuvedeno