Publication details

Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties

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Authors

MUCHA Ján MEKYSKA Jiří GALÁŽ Zoltán FAUNDEZ-ZANUY Marcos ZVONČÁK Vojtěch ŠAFÁROVÁ Katarína URBÁNEK Tomáš HAVIGEROVÁ Jana Marie BEDNÁŘOVÁ Jiřina SMÉKAL Zdeněk

Year of publication 2020
Type Article in Periodical
Magazine / Source IEEE Access
MU Faculty or unit

Faculty of Arts

Citation
Web
Doi http://dx.doi.org/10.1109/ACCESS.2020.3042591
Keywords fractional calculus; fractional order derivatives; graphomotor difficulties; graphonomics; online handwriting
Description 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.
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