Developmental dysgraphia (DD) can negatively influence writing speed, legibility of written product, and even planning and content generation. This could have a detrimental impact on self-expression, and communication in childhood. The goal of this study is to investigate new intra-writer and self-esteem normalization methods (IWN) in direction of improving computerized DD assessment based on the quantitative analysis of online handwriting. For this purpose we enrolled 97 children who wrote a paragraph using a digitizing tablet. Their handwriting proficiency was rated by the Handwriting Proficiency Screening Questionnaire (HPSQ). The handwriting was parametrized using a conventional set of features that were consequently normalized by four newly designed IWN. Based on the results we observed that a stroke-level £2 norm normalization decreased the computerized DD assessment error from 23 % to 18 %. This study proves that the stroke-level IWN has the significant potential in the field of computerized DD diagnosis and assessment.
|Title of host publication||10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018|
|Publisher||IEEE Computer Society|
|State||Published - 31 Jan 2019|
|Event||10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018 - Moscow, Russian Federation|
Duration: 5 Nov 2018 → 9 Nov 2018
|Name||International Congress on Ultra Modern Telecommunications and Control Systems and Workshops|
|Conference||10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018|
|Period||5/11/18 → 9/11/18|
Bibliographical noteFunding Information:
This work was supported by the grant of Czech Science Foundation 18-16835S (Research of advanced developmental dysgraphia diagnosis and rating methods based on quantitative analysis of online handwriting and drawing), project LO1401, and TEC2016-77791-C4-2-R from the Ministry of Economic Affairs and Competitiveness of Spain. For the research, infrastructure of the SIX Center was used.
© 2018 IEEE.
- Developmental dysgraphia
- Intra-writer normalization
- Kinematic analysis
- Machine learning
- Online handwriting
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering