Deep-learning for dysgraphia detection in children handwritings-Reference-Cited by-同舟云学术

Deep-learning for dysgraphia detection in children handwritings

Published:2023-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2023
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Author:

Gemelli Andrea¹^ORCID,Marinai Simone¹^ORCID,Vivoli Emanuele¹^ORCID,Zappaterra Tamara²^ORCID

Affiliation:

1. Università di Firenze, Florence, Italy

2. Università di Ferrara, Ferrara, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573128.3609351

Reference16 articles.

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2. Automated human-level diagnosis of dysgraphia using a consumer tablet;Thibault Asselborn;NPJ Digit. Med.,2018

3. Maëlle Biotteau et al. 2019. Developmental coordination disorder and dysgraphia: signs and symptoms diagnosis and rehabilitation. Neuropsychiatr. Dis. Treat. 15 (July 2019) 1873--1885. Maëlle Biotteau et al. 2019. Developmental coordination disorder and dysgraphia: signs and symptoms diagnosis and rehabilitation. Neuropsychiatr. Dis. Treat. 15 (July 2019) 1873--1885.

4. TestGraphia, a Software System for the Early Diagnosis of Dysgraphia

5. Peter Drotár and Marek Dobeš . 2020. Dysgraphia detection through machine learning. Scientific reports 10, 1 ( 2020 ), 21541. Peter Drotár and Marek Dobeš. 2020. Dysgraphia detection through machine learning. Scientific reports 10, 1 (2020), 21541.

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