Applying Deep Learning to Specific Learning Disorder Screening

NS Mor, KL Dardeck - arXiv preprint arXiv:2008.13525, 2020 - arxiv.org
Early detection is key for treating those diagnosed with specific learning disorder, which
includes problems with spelling, grammar, punctuation, clarity and organization of written …

Applying a Convolutional Neural Network to Screen for Specific Learning Disorder.

NS Mor, K Dardeck - Learning Disabilities: A Contemporary Journal, 2021 - ERIC
Early detection is key to intervening with students diagnosed with a specific learning
disorder (SLD), which includes problems with spelling, grammar, punctuation, and clarity …

[PDF][PDF] Classification of handwriting impairment using CNN for potential dyslexia symptom

NSL Seman, IS Isa, SA Ramlan, W Li-Chih… - 2021 11th IEEE …, 2021 - researchgate.net
Early detection of symptoms is very important to help dyslexic children because they do not
imply low intelligence. If dyslexic children are not assisted at an early stage, they will be left …

Deep learning techniques to detect learning disabilities among children using handwriting

V Vilasini, BB Rekha, V Sandeep… - 2022 Third …, 2022 - ieeexplore.ieee.org
In today's world, we come across children facing certain disabilities which pose as obstacles
and hinder their academic growth. Some of these disabilities are explicitly visible to the …

Using deep learning to detect early signs of cognitive disease

O Wahltinez, M Rincón… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
Handwriting and hand drawings have historically been used as a proxy metric to evaluate
psychological and cognitive traits, in addition to fine motor skills. Detecting onset of cognitive …

DyslexiScan: a dyslexia detection method from handwriting using CNN LSTM model

KT Jasira, V Laila - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Dyslexia is a common neurobiological learning disorder that affects millions of individuals
worldwide. It is characterized by difficulty in reading and can have a significant impact on an …

Deep Learning for Dyslexia Detection: A Comprehensive CNN Approach with Handwriting Analysis and Benchmark Comparisons

G Aldehim, M Rashid, AS Alluhaidan… - Journal of Disability …, 2024 - scienceopen.com
Dyslexia is a complex learning disorder that affects neurological nerves in the brain and
makes reading and writing difficult; therefore, early diagnosis for effective interventions …

CNN comparisons models on dyslexia handwriting classification

IS Isa, MA Zahir, SA Ramlan, LC Wang… - ESTEEM Academic …, 2021 - ir.uitm.edu.my
Dyslexia is developed by neurobiological in origin which is categorized as learning disorder
that affect the ability to read, spell, write and speak. The most common dyslexia symptom …

DxDetekt: A Dyslexia Detection Method from Handwriting using Ensemble Method.

J KT - Grenze International Journal of Engineering & …, 2023 - search.ebscohost.com
Millions of people throughout the world suffer from dyslexia, which is a learning impairment.
Early detection of dyslexia is crucial for effective intervention, but traditional dyslexia …

Dyslexia handwriting detection using Convolutional Neural Network (CNN) algorithm

SN Mohd Zaki - 2024 - ir.uitm.edu.my
Dyslexia is a neurological learning situation that affects a person's ability to read, spell, write,
and speak. Children with dyslexia frequently suffer from negative emotions including …