Detailed Information on Publication Record
2020
Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties
MUCHA, Ján, Jiří MEKYSKA, Zoltán GALÁŽ, Marcos FAUNDEZ-ZANUY, Vojtěch ZVONČÁK et. al.Basic information
Original name
Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties
Authors
MUCHA, Ján (703 Slovakia, guarantor), Jiří MEKYSKA (203 Czech Republic), Zoltán GALÁŽ (703 Slovakia), Marcos FAUNDEZ-ZANUY (724 Spain), Vojtěch ZVONČÁK (203 Czech Republic), Katarína ŠAFÁROVÁ (703 Slovakia, belonging to the institution), Tomáš URBÁNEK (203 Czech Republic, belonging to the institution), Jana Marie HAVIGEROVÁ (203 Czech Republic, belonging to the institution), Jiřina BEDNÁŘOVÁ (203 Czech Republic) and Zdeněk SMÉKAL (203 Czech Republic)
Edition
IEEE Access, USA, IEEE Xplore Digital Library, 2020, 2169-3536
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
50102 Psychology, special ;
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 3.367
RIV identification code
RIV/00216224:14210/20:00114562
Organization unit
Faculty of Arts
UT WoS
000598238200001
Keywords in English
fractional calculus; fractional order derivatives; graphomotor difficulties; graphonomics; online handwriting
Tags
Tags
International impact, Reviewed
Změněno: 22/4/2021 10:38, Mgr. Igor Hlaváč
Abstract
V originále
Graphomotor disabilities (GD) are present in up to 30% of school-aged children and are associated with several symptoms in the field of kinematics. Although the basic kinematic features such as velocity, acceleration, and jerk were proved to effectively quantify these symptoms, a recent body of research identified that the theory of fractional calculus can be used to even improve the objective GD assessment. The goal of this study is to extend the current knowledge in this field and explore the abilities of several fractional order derivatives (FD) approximations to estimate the severity of GD in the children population. We enrolled 85 children attending the 3rd and 4th grade of primary school, who performed a combined loop task on a digitizing tablet. Their performance was rated by psychologists and the online handwriting signals were parametrised by kinematic features utilising three FD approximations: Grünwald-Letnikov’s, Riemann–Liouville’s, and Caputo’s. In this study, we showed the differences across the employed FD approaches for the same kinematic handwriting features and their potential in GD analysis. The results suggest that the Riemann-Liouville’s approximation in the field of quantitative GD analysis outperforms the other ones. Using this approach, we were able to estimate the overall score with a low error of 0.65 points, while the scale range is 4. In fact, the psychologists tend to make the error even higher.
Links
GA18-16835S, research and development project |
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