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Methods for Analyzing Movement Variability

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Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition (IGS 2023)

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Abstract

Variability is a fact of life. Variability is variations that occur in Human performance after multiple repetitions. The central concept of behavioral flexibility in motor control was presented by Bernstein when he stated that movements are a “repetition without repetition” to describe how, well-learned movements, show variation when achieving the task outcome. Handwriting is an example of a complex task that results from a sequence of movements. It has a specific variability structure, and temporal organization, that inform the regularity with which children write as well as their adaptability to the task, e.g., a fractal dynamics behavior. Movement analysis using nonlinear dynamical systems theory for human behavior provides a better understanding of the execution of pathologies, psychomotor problems, or problems in motor control. Dynamic Systems theory suggests that biological systems self-organize according to the environment, and biomechanical and morphological constraints to find the most stable solution for producing a given movement. The concepts of variability and chaotic variation in human movement, along with advanced tools used to measure human movement variability open new perspectives to guide practice and a fundamental complementary means of diagnosis.

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Authors and Affiliations

  1. Évora University, Évora, Portugal

    Orlando Fernandes

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  1. Orlando Fernandes
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Correspondence to Orlando Fernandes .

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Editors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Antonio Parziale

  2. Universidad de las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Moises Diaz

  3. University of Lisbon, Lisbon, Portugal

    Filipe Melo

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Fernandes, O. (2023). Methods for Analyzing Movement Variability. In: Parziale, A., Diaz, M., Melo, F. (eds) Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition. IGS 2023. Lecture Notes in Computer Science, vol 14285. Springer, Cham. https://doi.org/10.1007/978-3-031-45461-5_14

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  • DOI: https://doi.org/10.1007/978-3-031-45461-5_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-45461-5

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