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Original title:
Exploring the Contribution of Isochrony-based Features to Computerized Assessment of Handwriting Disabilities
Authors: Gavenčiak, M. ; Zvončák, V. ; Mekyska, J. ; Šafárová, Katarína ; Čunek, Lukáš ; Urbánek, Tomáš ; Havigerová, Jana Marie ; Bednářová, Jiřina ; Galáž, Z. ; Mucha, J.
Document type: Papers
Conference/Event: International Conference on Telecommunications and Signal Processing (TSP) /45./, Praha (CZ), 20220713
Year: 2022
Language: eng
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
Project no.: TL03000287
Funding provider: GA TA ČR
Host item entry: 2022 45th International Conference on Telecommunications and Signal Processing (TSP 2022), ISBN 978-1-6654-6948-7
Note: Související webová stránka: https://www.proceedings.com/65189.html
Institution: Institute of Psychology AS ČR (web)
Document availability information: Fulltext is available on demand via the digital repository of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0334645
Permalink: http://www.nusl.cz/ntk/nusl-510675
The record appears in these collections:
Research > Institutes ASCR > Institute of Psychology
Conference materials > Papers
Authors: Gavenčiak, M. ; Zvončák, V. ; Mekyska, J. ; Šafárová, Katarína ; Čunek, Lukáš ; Urbánek, Tomáš ; Havigerová, Jana Marie ; Bednářová, Jiřina ; Galáž, Z. ; Mucha, J.
Document type: Papers
Conference/Event: International Conference on Telecommunications and Signal Processing (TSP) /45./, Praha (CZ), 20220713
Year: 2022
Language: eng
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
Project no.: TL03000287
Funding provider: GA TA ČR
Host item entry: 2022 45th International Conference on Telecommunications and Signal Processing (TSP 2022), ISBN 978-1-6654-6948-7
Note: Související webová stránka: https://www.proceedings.com/65189.html
Institution: Institute of Psychology AS ČR (web)
Document availability information: Fulltext is available on demand via the digital repository of the Academy of Sciences.
Original record: https://hdl.handle.net/11104/0334645
Permalink: http://www.nusl.cz/ntk/nusl-510675
The record appears in these collections:
Research > Institutes ASCR > Institute of Psychology
Conference materials > Papers
Record created 2022-10-23, last modified 2023-12-06