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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3391
Title: PREDICTION OF DYSLEXIA BASED ON EYE TRACKING
Authors: Pawar, Pranav
Deochake, Anisha
Patil, Bhagyoday
Mali, Nachiket
Kamlapur, Snehal
Keywords: Classification
Dyslexia
Eye Tracking
Issue Date: 5-May-2022
Abstract: Dyslexia is a neurodevelopmental reading disability. Dyslexia is thought to be a standard learning disability characterized by a persistent deficit in rapid word recognition and by spelling. Detection of dyslexia is critical, expensive. Early diagnosis of dyslexia is incredibly important. Eye tracking may be a useful approach to detect dyslexic and non dyslexic people. Eye tracking doesn't rely on the person’s verbal response so it provides a natural means to objectively assess the reading process. Although dyslexia may be a learning disorder, eye movements in reading can predict individual reading ability. Eye tracking movements are going to be fed to the model for classification and will predict whether the person is dyslexic or not.
URI: http://192.168.3.232:8080/jspui/handle/123456789/3391
Appears in Collections:Computer

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