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A Systematic Review of Research Dimensions Towards Dyslexia Screening Using Machine Learning

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Abstract

Dyslexia is the hidden learning disability, neurobiological in origin wherein students face hard time in accurate or fluent word recognition, connecting letters to the sounds. In India, index of dyslexia is increasing exponentially. The level of difficulty of dyslexic children varies from person to person. Their brain is normal; often very “intelligent,” but with strengths and capabilities in areas other than the language area. Henceforth, such students are suffering from low self-esteem, are bipolar in nature, have negative feelings and depression. Therefore, early detection and evaluation of dyslexic students is very important and need of the hour. In this review paper, the authors have summed up various research dimensions toward dyslexia detection. This paper principally focuses on the machine learning techniques for dyslexia screening which includes applications covering different machine learning-based approaches, game-based techniques and image processing techniques for designing various assessments and assistive tools to support and ease the problems encountered by dyslexic people. This review paper identifies various knowledge gaps, current issues and future challenges in this research domain. It mainly focuses on various machine learning applications toward detection of dyslexia.

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Abbreviations

SVM:

Support Vector Machine

DT:

Decision Tree

RF:

Random Forest

NB:

Naive Bayes

MRI:

Magnetic Resonance Images

EEG:

Electroencephalogram

SVC:

Support Vector Classifier

SD:

Standard Deviation

PSO:

Particle Swarm Optimization

CNN:

Convolutional Neural Network

ANN:

Artificial Neural Network

LR:

Logistic Regression

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Acknowledgements

This work is financially supported by Department of Science & Technology, Government of India, under DST INSPIRE Fellowship Scheme bearing registration Number IF190563.

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  1. Department of Computer Science, University of Kashmir, Srinagar, J&K, India

    Tabassum Gull Jan & Sajad Mohammad Khan

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Jan, T.G., Khan, S.M. A Systematic Review of Research Dimensions Towards Dyslexia Screening Using Machine Learning. J. Inst. Eng. India Ser. B 104, 511–522 (2023). https://doi.org/10.1007/s40031-023-00853-8

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