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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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