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Related papers: Dyslexia and Dysgraphia prediction: A new machine …

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Learning disabilities, which primarily interfere with the basic learning skills such as reading, writing and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part of the…

Machine Learning · Computer Science 2022-06-28 Jayakanth Kunhoth , Somaya Al-Maadeed , Suchithra Kunhoth , Younus Akbari

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…

Machine Learning · Computer Science 2025-06-16 Kevin Cogan , Vuong M. Ngo , Mark Roantree

Dysgraphia is a key cognitive disorder impacting writing skills. Current tests often identify dysgraphia after writing issues emerge. This paper presents a set of computer games and uses machine learning to analyze the results, predicting…

Human-Computer Interaction · Computer Science 2025-03-21 Zahra Nevisi , Maryam Tahmasbi

Dyslexia is a neurological learning disability that primarily disrupts one's ability to read, write, and spell, affecting an estimated 15-20% of the global population. This high prevalence underscores the importance of developing effective…

Human-Computer Interaction · Computer Science 2026-04-24 Sansrit Paudel , Subek Acharya , Piriyankan Kirupaharan , Bishal KC , Bipul Thapa

Dyslexia and dysgraphia are learning disabilities that profoundly impact reading, writing, and language processing capabilities. Dyslexia primarily affects reading, manifesting as difficulties in word recognition and phonological…

Quantitative Methods · Quantitative Biology 2025-01-22 Vasileios Alevizos , Sabrina Edralin , Akebu Simasiku , Dimitra Malliarou , Antonis Messinis , George Papakostas , Clark Xu , Zongliang Yue

Learning disorders are neurological conditions that affect the brain's ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude of these can be…

Dysgraphia, a handwriting learning disability, has a serious negative impact on children's academic results, daily life and overall wellbeing. Early detection of dysgraphia allows for an early start of a targeted intervention. Several…

Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online…

Human-Computer Interaction · Computer Science 2021-01-27 Luz Rello , Ricardo Baeza-Yates , Abdullah Ali , Jeffrey P. Bigham , Miquel Serra

Developmental Dyslexia (DD) is a learning disability related to the acquisition of reading skills that affects about 5% of the population. DD can have an enormous impact on the intellectual and personal development of affected children, so…

Machine Learning · Computer Science 2020-12-14 F. J. Martinez-Murcia , A. Ortiz , Marco A. Formoso , M. Lopez-Zamora , J. L. Luque , A. Giménez

Dysgraphia is a learning disorder that affects handwriting abilities, making it challenging for children to write legibly and consistently. Early detection and monitoring are crucial for providing timely support and interventions. This…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Vydeki D , Divyansh Bhandari , Pranav Pratap Patil , Aarush Anand Kulkarni

Dyslexia, a neurological condition affecting approximately 12% of the global population, presents significant challenges to reading ability and quality of life. Existing assistive technologies are limited by factors such as unsuitability…

Human-Computer Interaction · Computer Science 2025-04-02 Sihang Zhao , Shoucong Carol Xiong , Bo Pang , Xiaoying Tang , Pinjia He

Dysgraphia is a neurodevelopmental condition in which children encounter difficulties in handwriting. Dysgraphia is not a disorder per se, but is secondary to neurodevelopmental disorders, mainly dyslexia, Developmental Coordination…

Applications · Statistics 2024-08-06 Yunjiao Lu , Jean-Charles Quinton , Caroline Jolly , Vincent Brault

Dyslexia is a developmental learning disorder of single word reading accuracy and/or fluency, with compelling research directed towards understanding the contributions of the visual system. While dyslexia is not an oculomotor disease,…

There are various types of disability egress in world like blindness, deafness, and Physical disabilities. It is quite difficult to deal with people with disability. Learning disability (LD) is types of disability totally different from…

Computers and Society · Computer Science 2013-10-22 Syed Asif Ali , Safeeullah Soomro , Abdul Ghafoor Memon , Abdul Baqi

This article describes the recognition part of a system that will be used for personalized therapy of dyslalia affecting pre scholars. Dyslalia is a speech disorder that affect pronunciation of one ore many sounds. The full system targets…

Computers and Society · Computer Science 2014-06-03 Stefan-Gheorghe Pentiuc , Ovidiu-Andrei Schipor , Mirela Danubianu , Doina-Maria Schipor

This study explores the use of virtual reality (VR) and artificial intelligence (AI) to predict the presence of dyslexia in Italian and Spanish university students. In particular, the research investigates whether VR-derived data from…

Even though the computerised assessment of developmental dysgraphia (DD) based on online handwriting processing has increasing popularity, most of the solutions are based on a setup, where a child writes on a paper fixed to a digitizing…

Dysarthria is a neurological speech disorder that can significantly impact affected individuals' communication abilities and overall quality of life. The accurate and objective classification of dysarthria and the determination of its…

This study introduces an explainable AI (XAI) framework for the detection of dyslexia through handwriting analysis, achieving an impressive test precision of 99.65%. The framework integrates transfer learning and transformer-based models,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Mahmoud Robaa , Mazen Balat , Rewaa Awaad , Esraa Omar , Salah A. Aly

We develop a method that is based on processing gathered Event Related Potentials (ERP) signals and the use of machine learning technique for multivariate analysis (i.e. classification) that we apply in order to analyze the differences…

Machine Learning · Computer Science 2019-01-21 Alex Frid , Larry M. Manevitz
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