Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities

0562300 - PSÚ 2023 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
Gavenčiak, M. - Zvončák, V. - Mekyska, J. - Šafárová, Katarína - Čunek, Lukáš - Urbánek, Tomáš - Havigerová, Jana Marie - Bednářová, Jiřina - Galáž, Z. - Mucha, J.
Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities.
2022 45th International Conference on Telecommunications and Signal Processing (TSP 2022). online: Institute of Electrical and Electronics Engineers (IEEE), 2022, s. 355-359. ISBN 978-1-6654-6948-7.
[International Conference on Telecommunications and Signal Processing (TSP) /45./. Praha (CZ), 13.07.2022-15.07.2022]
Grant CEP: GA TA ČR(CZ) TL03000287
Institucionální podpora: RVO:68081740
Klíčová slova: developmental dysgraphia * handwriting difficulties * isochrony * online handwriting
Obor OECD: Psychology (including human - machine relations)
https://www.proceedings.com/65189.html

Approximately 30–60 % of the time children spend in school is associated with handwriting. However, up to 30 % of them experience handwriting disabilities (HD), which lead to a decrease in their academic performance. Current HD assessment methods are not unified and show signs of subjectivity which can lead to misdiagnosis. The aim of this paper is to propose a new approach to objective HD assessment based on the principle of movement isochrony. For this purpose, we used a database of 137 children attending a primary school, who performed a transcription and dictation task, and who were associated with a BHK (Concise Evaluation Scale for Children's Handwriting) score. Employing a machine learning model, we were able to estimate this score with 18 % error. An interpretation of the model suggests that the isochrony-based features could bring new benefits to the objective assessment of HD.
Trvalý link: https://hdl.handle.net/11104/0334645