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Erschienen in:
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2019 | OriginalPaper | Buchkapitel

Prediction of Dyslexia Using Machine Learning—A Research Travelogue

verfasst von : A. Jothi Prabha, R. Bhargavi

Erschienen in: Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems

Verlag: Springer Singapore

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Abstract

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.

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Vorheriges Kapitel Multimedia Encryption on Bitplanes of Image Using ECC on Koblitz Curves with Lopez–Dahab Projective Coordinates
Nächstes Kapitel Comparative Assessment of Passive Islanding Detection Techniques for Distributed Generations
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Metadaten
Titel
Prediction of Dyslexia Using Machine Learning—A Research Travelogue
verfasst von
A. Jothi Prabha
R. Bhargavi
Copyright-Jahr
2019
Verlag
Springer Singapore
Buch
Proceedings of the Third International Conference on Microelectronics, Computing and Communication Systems

Print ISBN: 978-981-13-7090-8

Electronic ISBN: 978-981-13-7091-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-981-13-7091-5_3

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