Fractional Order Derivatives Evaluation in Computerized
Assessment of Handwriting Difficulties in School-aged Children

D 2019

Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children

ZVONČÁK, Vojtěch, Jan MUCHA, Zoltan GALÁŽ, Jiří MEKYSKA, Katarína ŠAFÁROVÁ et. al.

Basic information

Original name

Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children

Authors

ZVONČÁK, Vojtěch (203 Czech Republic), Jan MUCHA (703 Slovakia), Zoltan GALÁŽ (703 Slovakia), Jiří MEKYSKA (703 Slovakia), Katarína ŠAFÁROVÁ (703 Slovakia, guarantor, belonging to the institution), Marcos FAUNDEZ-ZANUY (724 Spain) and Zdeněk SMÉKAL (203 Czech Republic)

Edition

Dublin, 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), p. 210-215, 6 pp. 2019

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50102 Psychology, special ;

Country of publisher

Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14210/19:00107994

Organization unit

Faculty of Arts

ISBN

978-1-7281-5763-4

ISSN

DOI

http://dx.doi.org/10.1109/ICUMT48472.2019.8970811

UT WoS

000540651700027

Keywords in English

fractal calculus; fractional derivative; handwriting difficulties; kinematic analysis; online handwriting; school-aged children; digitizer; developmental dysgraphia

Abstract

V originále

Handwriting difficulties (HD) affects some of the school-aged children and its current prevalence rate is between 5-34%. Children at primary schools have to face rising cognitive demands that the handwriting represents, and some of them are not able to do so. As a result, they tend to make mistakes and their written product is dysfluent and has poor legibility. HD can also lead them to lower self-esteem, learning difficulties and ultimately to less academic achievements. For this reason occupational therapists are trying to identify HD through examination as early as possible. We extracted online handwriting signals of children using digitizing tablets. Handwriting Proficiency Screening Questionnaire for Children (HPSQ-C) was used to score severity of HD in children's written product. To advance current computerized analysis of online handwriting, we employed fractional order derivatives features (FD) together with conventional features. We selected the significant features for HD identification and utilize correlation analysis together with Mann-Whitney U-test to evaluate their discrimination power. We can conclude that FD-based features bring benefits of more robust quantification of in-air movements as opposed to the conventionally used ones. Finally, we have shown that utilization of FD can be beneficial for computerized assessment of HD but should be further optimized and evaluated with advanced statistical or machine learning methods.

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, Jan MUCHA, Zoltan GALÁŽ, Jiří MEKYSKA, Katarína ŠAFÁROVÁ, Marcos FAUNDEZ-ZANUY and Zdeněk SMÉKAL. Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. Online. In 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin: IEEE, 2019, p. 210-215. ISBN 978-1-7281-5763-4. Available from: https://dx.doi.org/10.1109/ICUMT48472.2019.8970811.

@inproceedings{1602258,
   author = {Zvončák, Vojtěch and Mucha, Jan and Galáž, Zoltan and Mekyska, Jiří and Šafárová, Katarína and FaundezandZanuy, Marcos and Smékal, Zdeněk},
   address = {Dublin},
   booktitle = {11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)},
   doi = {http://dx.doi.org/10.1109/ICUMT48472.2019.8970811},
   keywords = {fractal calculus; fractional derivative; handwriting difficulties; kinematic analysis; online handwriting; school-aged children; digitizer; developmental dysgraphia},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Dublin},
   isbn = {978-1-7281-5763-4},
   pages = {210-215},
   publisher = {IEEE},
   title = {Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children},
   year = {2019}
}

TY  - JOUR
ID  - 1602258
AU  - Zvončák, Vojtěch - Mucha, Jan - Galáž, Zoltan - Mekyska, Jiří - Šafárová, Katarína - Faundez-Zanuy, Marcos - Smékal, Zdeněk
PY  - 2019
TI  - Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children
PB  - IEEE
CY  - Dublin
SN  - 9781728157634
KW  - fractal calculus
KW  - fractional derivative
KW  - handwriting difficulties
KW  - kinematic analysis
KW  - online handwriting
KW  - school-aged children
KW  - digitizer
KW  - developmental dysgraphia
N2  - Handwriting difficulties (HD) affects some of the school-aged children and its current prevalence rate is between 5-34%. Children at primary schools have to face rising cognitive demands that the handwriting represents, and some of them are not able to do so. As a result, they tend to make mistakes and their written product is dysfluent and has poor legibility. HD can also lead them to lower self-esteem, learning difficulties and ultimately to less academic achievements. For this reason occupational therapists are trying to identify HD through examination as early as possible. We extracted online handwriting signals of children using digitizing tablets. Handwriting Proficiency Screening Questionnaire for Children (HPSQ-C) was used to score severity of HD in children's written product. To advance current computerized analysis of online handwriting, we employed fractional order derivatives features (FD) together with conventional features. We selected the significant features for HD identification and utilize correlation analysis together with Mann-Whitney U-test to evaluate their discrimination power. We can conclude that FD-based features bring benefits of more robust quantification of in-air movements as opposed to the conventionally used ones. Finally, we have shown that utilization of FD can be beneficial for computerized assessment of HD but should be further optimized and evaluated with advanced statistical or machine learning methods.
ER  -

ZVONČÁK, Vojtěch, Jan MUCHA, Zoltan GALÁŽ, Jiří MEKYSKA, Katarína ŠAFÁROVÁ, Marcos FAUNDEZ-ZANUY and Zdeněk SMÉKAL. Fractional Order Derivatives Evaluation in Computerized Assessment of Handwriting Difficulties in School-aged Children. Online. In \textit{11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)}. Dublin: IEEE, 2019, p.~210-215. ISBN~978-1-7281-5763-4. Available from: https://dx.doi.org/10.1109/ICUMT48472.2019.8970811.

Detailed Information on Publication Record