ETDD70 : Eye-Tracking Dyslexia Dataset

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F24%3A00139838" target="_blank" >RIV/00216224:14210/24:00139838 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5281/zenodo.13332134" target="_blank" >https://doi.org/10.5281/zenodo.13332134</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
ETDD70 : Eye-Tracking Dyslexia Dataset
Original language description
The ETDD70 dataset comprises eye-tracking recordings from 70 Czech participants, equally divided into dyslexic and non-dyslexic readers, all aged 9–10 years. The dataset captures eye movements during three text-reading tasks in Czech: syllable reading (Task 1), meaningful text reading (Task 4), and pseudo-text reading (Task 5). This dataset is the result of the project “Diagnostics of Dyslexia Using Eye-Tracking and Artificial Intelligence” conducted by our research team. The project aims to leverage artificial intelligence tools and advanced technical equipment (eye tracking) to more effectively diagnose dyslexia, one of the most common specific learning disorders, and thereby significantly improve re-education strategies for dyslexic students. The primary goal is to develop models that accurately distinguish between dyslexic and non-dyslexic readers based on eye movement patterns recorded during these tasks. Data collection took place between October 2022 and August 2023, adhering to ethical standards. The project was approved by the Research Ethics Committee of Masaryk University in Brno, Czech Republic.
Czech name
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Czech description
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Project
<a href="/en/project/TL05000177" target="_blank" >TL05000177: Diagnostics of dyslexia using eye-tracking and artificial intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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