Article

Developing a Dyslexia Indicator Using Eye Tracking

2025-05-06

Abstract excerpt

Dyslexia, affecting an estimated 10% to 20% of the global population, significantly impairs learning capabilities, highlighting the need for innovative and accessible diagnostic methods. This paper investigates the effectiveness of eye-tracking technology combined with machine learning algorithms as a cost-effective alternative for early dyslexia detection. By analyzing general eye movement patterns, including pro...

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Literature Corpus work: dfc72989-5317-5e3d-b470-fe52c4f55c77
DOI: 10.20944/preprints202505.0310.v1

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