Effect of Stroke-level Intra-writer Normalization on
Computerized Assessment of Developmental Dysgraphia

D 2018

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia

ZVONČÁK, Vojtěch, Jiří MEKYSKA, Katarína ŠAFÁROVÁ, Zoltán GALÁŽ, Ján MUCHA et. al.

Basic information

Original name

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia

Authors

ZVONČÁK, Vojtěch, Jiří MEKYSKA, Katarína ŠAFÁROVÁ (703 Slovakia, guarantor, belonging to the institution), Zoltán GALÁŽ, Ján MUCHA, Tomáš KISKA, Zdeněk SMÉKAL, Barbora LOSENICKÁ (203 Czech Republic, belonging to the institution), Barbora ČECHOVÁ (203 Czech Republic, belonging to the institution), Pavlína FRANCOVÁ (203 Czech Republic, belonging to the institution), M. FAUNDEZ-ZANUY and Sara ROSENBLUM

Edition

Moskva, Rusko, 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), p. 233-237, 5 pp. 2018

Publisher

Neuveden

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50101 Psychology

Country of publisher

Russian Federation

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14210/18:00101464

Organization unit

Faculty of Arts

ISBN

978-1-5386-9360-5

DOI

http://dx.doi.org/10.1109/ICUMT.2018.8631271

Keywords in English

developmental dysgraphia; digitizer; intrawriter normalization; kinematic analysis; machine learning; online handwriting

Abstract

V originále

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.

Links

GA18-16835S, research and development project

Name: Výzkum pokročilých metod diagnózy a hodnocení vývojové dysgrafie založených na kvantitativní analýze online písma a kresby (Acronym: DiagnosisDysgraphia)

Investor: Czech Science Foundation

Citovat

ZVONČÁK, Vojtěch, Jiří MEKYSKA, Katarína ŠAFÁROVÁ, Zoltán GALÁŽ, Ján MUCHA, Tomáš KISKA, Zdeněk SMÉKAL, Barbora LOSENICKÁ, Barbora ČECHOVÁ, Pavlína FRANCOVÁ, M. FAUNDEZ-ZANUY and Sara ROSENBLUM. Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia. Online. In 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Moskva, Rusko: Neuveden, 2018, p. 233-237. ISBN 978-1-5386-9360-5. Available from: https://dx.doi.org/10.1109/ICUMT.2018.8631271.

@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 and 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, p.~233-237. ISBN~978-1-5386-9360-5. Available from: https://dx.doi.org/10.1109/ICUMT.2018.8631271.

Detailed Information on Publication Record