Pubudu: Deep Learning Based Screening And Intervention of Dyslexia, Dysgraphia And Dyscalculia

  title={Pubudu: Deep Learning Based Screening And Intervention of Dyslexia, Dysgraphia And Dyscalculia},
  author={Ruchira Kariyawasam and Madhuka Nadeeshani and Tuan Hamid and Inisha Subasinghe and Pradeepa Samarasinghe and Pasangi Ratnayake},
  journal={2019 14th Conference on Industrial and Information Systems (ICIIS)},
Dyslexia, Dysgraphia and Dyscalculia are significant learning disabilities that affect around 10% of children in the world. Despite the advancement of technology literacy in the community, limited attention has been given for screening and intervention of these disabilities using mobile applications in Sri Lanka. In this research, one of the first deep learning and machine learning based mobile applications, named “Pubudu” was developed for screening and intervention of dyslexia, dysgraphia and… 
Mobile Applications, An Emerging Powerful Tool for Dyslexia Screening and Intervention: A Systematic Literature Review
A great number of screening and treatment mobile applications for dyslexia have been developed or have been implemented, focused on different aspects of Dyslexia symptoms during the last decades.
Comparison of Classification Methods used in Machine Learning for Dysgraphia Identification
Results indicate the highest performance of the Random forest classification model for Dysgraphia identification.
Dysgraphia detection through machine learning
The results show that machine learning can be used to detect dysgraphia with almost 80% accuracy, even when dealing with a heterogeneous set of subjects differing in age, sex and handedness.


'Dyslexia Baca' Mobile App -- The Learning Ecosystem for Dyslexic Children
  • S. Daud, H. Abas
  • Psychology
    2013 International Conference on Advanced Computer Science Applications and Technologies
  • 2013
Children with Dyslexia are having language learning disorder and makes them difficult mastering the skill to read, spell and write. Although their cognitive capability is adequate, they faced
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A method for automatic identification and characterization of dysgraphia in third-grade children is described, based on analyzing the child's writing dynamics by sampling the pressure the pen exerts on the paper as well as the pen's position and orientation by using a standard digital writing pad.
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Dyscalculia is a neurodevelopmental disorder that affects the ability of a child to learn arithmetic. Dyscalculia appears despite normal intelligence, proper schooling, adequate environment,
Computer Based Screening Dyscalculia: Cognitive and Neuropsychological Correlates.
Mathematical skills are becoming increasingly critical for achieving academic and professional success. Developmental dyscalculia (DD) is a childhood-onset disorder characterized by the presence of
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Current data indicate that DC is a stable learning disability persisting, at least for the short term, in about half of affected children, and its impact on education, employment and psychological well-being has yet to be determined.
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This paper introduces to diagnosis of Dyslexia using computing system, considered people difficulties in reading, spelling, writing and speaking. Consequently, a computational analysis classifier
Identification and Rating of Developmental Dysgraphia by Handwriting Analysis
This study proves that digital parameterization of pressure and altitude/tilt patterns in children with dysgraphia can be used for preliminary diagnosis of this writing disorder and estimation of difficulty level as determined by the handwriting proficiency screening questionnaire.
Dyslexia in Greek Higher Education: A Study of Incidence, Policy and Provision.
Dyslexia is defined as a disability that primarily affects reading and writing. Internationally, the number of dyslexic students entering higher education is on the rise. It is estimated that
An expert system for diagnosing dysgraphia
An expert system that can diagnose the students with dysgraphia at school by using Forward Chaining is implemented, and 97.41% of the result of the system diagnosis has similarities with the results of expert diagnosis.