From assistive technologies to metaverse—Technologies in inclusive higher education for students with specific learning difficulties: A review

G Yenduri, R Kaluri, DS Rajput, K Lakshmanna… - IEEE …, 2023 - ieeexplore.ieee.org
The development of new technologies and their expanding use in a wide range of
educational environments are driving the transformation of higher education. Assistive …

Tools and methods for diagnosing developmental dysgraphia in the digital age: a state of the art

J Danna, F Puyjarinet, C Jolly - Children, 2023 - mdpi.com
Handwriting is a complex perceptual motor task that requires years of training and practice
before complete mastery. Its acquisition is crucial, since handwriting is the basis, together …

[HTML][HTML] CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

J Kunhoth, S Al Maadeed, M Saleh, Y Akbari - Expert Systems with …, 2023 - Elsevier
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …

RALF: an adaptive reinforcement learning framework for teaching dyslexic students

SAH Minoofam, A Bastanfard… - Multimedia Tools and …, 2022 - Springer
Dyslexia is a learning disorder in which individuals have significant reading difficulties.
Previous studies found that using machine learning techniques in content supplements is …

An intelligent tutoring system architecture based on fuzzy neural network (FNN) for special education of learning disabled learners

S Dutt, NJ Ahuja, M Kumar - Education and Information Technologies, 2022 - Springer
Several studies have investigated the need for learning difficulties identification specifically
Dyslexia, Dysgraphia and Dyscalculia. The identification of these difficulties among children …

Automated systems for diagnosis of dysgraphia in children: A survey and novel framework

J Kunhoth, S Al-Maadeed, S Kunhoth, Y Akbari… - International Journal on …, 2024 - Springer
Learning disabilities, which primarily interfere with basic learning skills such as reading,
writing, and math, are known to affect around 10% of children in the world. The poor motor …

Semantic segmentation of conjunctiva region for non-invasive anemia detection applications

S Kasiviswanathan, T Bai Vijayan, L Simone… - Electronics, 2020 - mdpi.com
Technology is changing the future of healthcare, technology-supported non-invasive
medical procedures are more preferable in the medical diagnosis. Anemia is one of the …

Identifying gaps in using artificial intelligence to support students with intellectual disabilities from education and health perspectives

FF Kharbat, A Alshawabkeh… - Aslib Journal of Information …, 2021 - emerald.com
Purpose Students with developmental/intellectual disabilities (ID/DD) often have serious
health issues that require additional medical care and supervision. Serious health issues …

[HTML][HTML] Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning …

J Kunhoth, S Al Maadeed, M Saleh, Y Akbari - … Signal Processing and …, 2023 - Elsevier
Dysgraphia is a type of learning disorder that affects children's writing skills. Poor writing
skills can obstruct students' academic growth if it is undiagnosed and untreated properly in …

Personal heart health monitoring based on 1D convolutional neural network

A Nannavecchia, F Girardi, PR Fina, M Scalera… - Journal of …, 2021 - mdpi.com
The automated detection of suspicious anomalies in electrocardiogram (ECG) recordings
allows frequent personal heart health monitoring and can drastically reduce the number of …