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Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03112660" target="_blank" >RIV/68407700:21230/05:03112660 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Dyslexia Detection from Eye Movements Using Artificial Neural Networks
Popis výsledku v původním jazyce
The main goal of the study was to propose and implement a neural network based classifier for dyslexia detection from eye movement signal. Eye movements of 76 school children were measured using videooculographic (VOG) technique during one reading and four non-reading tasks. Time and frequency domain features were extracted and various feature selection methods were performed to select subsets of significant features. Finally a feed-forward neural network using back-propagation algorithm was used for asupervised learning. A suitable topology was chose and learning parameters were set experimentally. The final classifier reached about 90% correct identification of the presence of dyslexia and about 90.5% correct identification of the absence of dyslexia.
Název v anglickém jazyce
Dyslexia Detection from Eye Movements Using Artificial Neural Networks
Popis výsledku anglicky
The main goal of the study was to propose and implement a neural network based classifier for dyslexia detection from eye movement signal. Eye movements of 76 school children were measured using videooculographic (VOG) technique during one reading and four non-reading tasks. Time and frequency domain features were extracted and various feature selection methods were performed to select subsets of significant features. Finally a feed-forward neural network using back-propagation algorithm was used for asupervised learning. A suitable topology was chose and learning parameters were set experimentally. The final classifier reached about 90% correct identification of the presence of dyslexia and about 90.5% correct identification of the absence of dyslexia.
Klasifikace
Druh
A - Audiovizuální tvorba
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2005
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
ISBN
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Místo vydání
Praha
Název nakladatele resp. objednatele
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Verze
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Identifikační číslo nosiče
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