Publication result detail

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

GAVENČIAK, M.; ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; ČUNEK, L.; TOMÁŠ, U.; MARIE HAVIGEROVÁ, J.; BEDNÁŘOVÁ, J.; GALÁŽ, Z.; MUCHA, J.

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

developmental dysgraphia; handwriting difficulties; isochrony; online handwriting

Key words in English

developmental dysgraphia; handwriting difficulties; isochrony; online handwriting

Authors

GAVENČIAK, M.; ZVONČÁK, V.; MEKYSKA, J.; ŠAFÁROVÁ, K.; ČUNEK, L.; TOMÁŠ, U.; MARIE HAVIGEROVÁ, J.; BEDNÁŘOVÁ, J.; GALÁŽ, Z.; MUCHA, J.

RIV year

2023

Released

18.08.2022

Publisher

IEEE

ISBN

978-1-6654-6948-7

Book

2022 45th International Conference on Telecommunications and Signal Processing (TSP)

Pages from

355

Pages to

359

Pages count

5

URL

https://ieeexplore.ieee.org/document/9851254

BibTex

@inproceedings{BUT180570,
  author="Michal {Gavenčiak} and Vojtěch {Zvončák} and Jiří {Mekyska} and Katarína {Šafárová} and Lukáš {Čunek} and Urbánek {Tomáš} and Jana {Marie Havigerová} and Jiřina {Bednářová} and Zoltán {Galáž} and Ján {Mucha}",
  title="Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities",
  booktitle="2022 45th International Conference on Telecommunications and Signal Processing (TSP)",
  year="2022",
  pages="355--359",
  publisher="IEEE",
  doi="10.1109/TSP55681.2022.9851254",
  isbn="978-1-6654-6948-7",
  url="https://ieeexplore.ieee.org/document/9851254"
}