Recognition of Reading Disorder Based on Eye-Tracking Data – Bc. Andrej Černek
Bc. Andrej Černek
Master's thesis
Recognition of Reading Disorder Based on Eye-Tracking Data
Recognition of Reading Disorder Based on Eye-Tracking Data
Abstract:
Vývinová dyslexia, porucha súvisiaca s čítaním, postihuje odhadom 5–10 % populácie, čo z nej robí najčastejšiu poruchu učenia. Ak nie je zmiernená, môže vážne ovplyvniť akademický a pracovný výkon, preto je nevyhnutná včasná a ľahká detekcia. Táto práca skúma využitie technológie sledovania pohybu očí a techník strojového učenia na rýchly predbežný skríning. Na základe analýzy existujúceho výskumu …moreAbstract:
Developmental dyslexia, the disorder related to reading, affects an estimated 5–10 % of the population, making it the most common learning disability. It can severely impact one's academic and occupational performance if unmitigated, so early and easy detection is essential. This thesis explores the use of eye-tracking technology and machine-learning techniques as a fast pre-screening solution. Based
Language used: English
Date on which the thesis was submitted / produced: 16. 5. 2023
Identifier:
https://is.muni.cz/th/ib5jl/
Thesis defence
- Date of defence: 23. 6. 2023
- Supervisor: doc. RNDr. Jan Sedmidubský, Ph.D.
- Reader: prof. Ing. Pavel Zezula, CSc.
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Big data