Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU138039" target="_blank" >RIV/00216305:26220/20:PU138039 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/20:00114562
Result on the web
<a href="https://ieeexplore.ieee.org/document/9281290" target="_blank" >https://ieeexplore.ieee.org/document/9281290</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2020.3042591" target="_blank" >10.1109/ACCESS.2020.3042591</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Various Fractional Order Derivatives Approaches in Assessment of Graphomotor Difficulties
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50102 - Psychology, special (including therapy for learning, speech, hearing, visual and other physical and mental disabilities);
Result continuities
Project
<a href="/en/project/GA18-16835S" target="_blank" >GA18-16835S: Research of advanced developmental dysgraphia diagnosis and rating methods based on quantitative analysis of online handwriting and drawing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
218234-218244
UT code for WoS article
000598238200001
EID of the result in the Scopus database
2-s2.0-85097769848