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@inproceedings{1481372,
author = {Zvončák, Vojtěch and Mekyska, Jiří and Šafárová, Katarína and Galáž, Zoltán and Mucha, Ján and Kiska, Tomáš and Smékal, Zdeněk and Losenická, Barbora and Čechová, Barbora and Francová, Pavlína and FaundezandZanuy, M. and Rosenblum, Sara},
address = {Moskva, Rusko},
booktitle = {10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)},
doi = {http://dx.doi.org/10.1109/ICUMT.2018.8631271},
keywords = {developmental dysgraphia; digitizer; intrawriter normalization; kinematic analysis; machine learning; online handwriting},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Moskva, Rusko},
isbn = {978-1-5386-9360-5},
pages = {233-237},
publisher = {Neuveden},
title = {Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia},
url = {https://ieeexplore.ieee.org/document/8631271},
year = {2018}
}
TY - JOUR
ID - 1481372
AU - Zvončák, Vojtěch - Mekyska, Jiří - Šafárová, Katarína - Galáž, Zoltán - Mucha, Ján - Kiska, Tomáš - Smékal, Zdeněk - Losenická, Barbora - Čechová, Barbora - Francová, Pavlína - Faundez-Zanuy, M. - Rosenblum, Sara
PY - 2018
TI - Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia
PB - Neuveden
CY - Moskva, Rusko
SN - 9781538693605
KW - developmental dysgraphia
KW - digitizer
KW - intrawriter normalization
KW - kinematic analysis
KW - machine learning
KW - online handwriting
UR - https://ieeexplore.ieee.org/document/8631271
N2 - 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 selfesteem 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.
ER -
ZVONČÁK, Vojtěch, Jiří MEKYSKA, Katarína ŠAFÁROVÁ, Zoltán GALÁŽ, Ján MUCHA, Tomáš KISKA, Zdeněk SMÉKAL, Barbora LOSENICKÁ, Barbora ČECHOVÁ, Pavlína FRANCOVÁ, M. FAUNDEZ-ZANUY a Sara ROSENBLUM. Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. Online. In \textit{10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)}. Moskva, Rusko: Neuveden, 2018, s.~233-237. ISBN~978-1-5386-9360-5. Dostupné z: https://dx.doi.org/10.1109/ICUMT.2018.8631271.
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