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

Author:

Kunhoth JayakanthORCID,Al Maadeed Somaya,Saleh MoutazORCID,Akbari YounesORCID

Funder

Qatar University

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference34 articles.

1. Assessing dimensions of inclusion from students’ perspective–measurement invariance across students with learning disabilities in different educational settings;Knickenberg;Eur. J. Special Needs Educ.,2020

2. Developmental Dysgraphia and motor skills disorders;Deuel;J. Child. Neurol.,1995

3. Concise Evaluation Scale for Children’s Handwriting;Hamstra-Bletz,1987

4. Development and standardization of a new handwriting speed test: The detailed assessment of speed of handwriting;Barnett;Br. J. Educ. Psychol.,2009

5. American psychiatric association. DSM-5 task force;American Psychiatric Association,2013

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