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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

PREDICTION OF DYSLEXIA BASED ON EYE TRACKING

Pranav Pawar, Anisha Deochake, Bhagyoday Patil, Nachiket Mali, Dr. Snehal Kamlapur

DOI: 10.17148/IJARCCE.2022.115112

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.

Keywords: Classification, Dyslexia, Eye Tracking

How to Cite:

[1] Pranav Pawar, Anisha Deochake, Bhagyoday Patil, Nachiket Mali, Dr. Snehal Kamlapur, “PREDICTION OF DYSLEXIA BASED ON EYE TRACKING,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115112