Abstract
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.
Original language | English |
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Title of host publication | 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781538693605 |
DOIs | |
State | Published - 2 Jul 2018 |
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 |
Publication series
Name | International Congress on Ultra Modern Telecommunications and Control Systems and Workshops |
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Volume | 2018-November |
ISSN (Print) | 2157-0221 |
ISSN (Electronic) | 2157-023X |
Conference
Conference | 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018 |
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Country/Territory | Russian Federation |
City | Moscow |
Period | 5/11/18 → 9/11/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Developmental dysgraphia
- Digitizer
- Intra-writer normalization
- Kinematic analysis
- Machine learning
- Online handwriting
ASJC Scopus subject areas
- Computer Networks and Communications
- Control and Systems Engineering