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Prediction of Dyslexia Using Machine Learning—A Research Travelogue
Jothi Prabha A,
Published in Springer Singapore
Volume: 556
Pages: 23 - 34
Dyslexia is regarded as a common learning disorder characterized by a persistent deficit in rapid word recognition and by spelling. It affects the individual’s ability to decode letters and words fluently and accurately. The research community has worked on distinguishing dyslexic from non-dyslexic people by using various machine learning approaches, image processing techniques, design assessment, and assistive tools to support dyslexia. This survey paper looks at different dimensions of research toward dyslexia. This review identifies the research gaps, open issues, and challenges in this field. It also motivates for the application of ML techniques toward early prediction of dyslexia. © 2019, Springer Nature Singapore Pte Ltd.