ŠVAŘÍČEK, Roman a Nicol DOSTÁLOVÁ. Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform. In The International Council on Education for Teaching (ICET), 65th World Assembly, 2022, Braga, Portugal, 2024. 2024. |
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@proceedings{2411959, author = {Švaříček, Roman and Dostálová, Nicol}, booktitle = {The International Council on Education for Teaching (ICET), 65th World Assembly, 2022, Braga, Portugal, 2024.}, keywords = {eye-tracking; dyslexia; reading difficulties}, language = {eng}, title = {Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform}, year = {2024} }
TY - CONF ID - 2411959 AU - Švaříček, Roman - Dostálová, Nicol PY - 2024 TI - Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform KW - eye-tracking KW - dyslexia KW - reading difficulties N2 - The presentation, explores an innovative approach to diagnosing dyslexia using eye-tracking technology and artificial intelligence. Utilizing eye-tracking devices and AI algorithms, the research differentiates between dyslexic and non-dyslexic readers, offering a more objective and precise diagnostic method. The findings demonstrate that deep learning models, such as multilayer perceptrons and residual neural networks, can achieve approximately 90% accuracy in classifying dyslexia. The study underscores the potential of AI in transforming traditional diagnostic processes and highlights future steps towards digitizing dyslexia diagnosis in collaboration with psychological counseling centers. ER -
ŠVAŘÍČEK, Roman a Nicol DOSTÁLOVÁ. Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform. In \textit{The International Council on Education for Teaching (ICET), 65th World Assembly, 2022, Braga, Portugal, 2024.}. 2024.
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