Multi-segmental movement patterns reflect juggling complexity and skill level

Human Movement Science
Matteo ZagoChiarella Sforza

Abstract

The juggling action of six experts and six intermediates jugglers was recorded with a motion capture system and decomposed into its fundamental components through Principal Component Analysis. The aim was to quantify trends in movement dimensionality, multi-segmental patterns and rhythmicity as a function of proficiency level and task complexity. Dimensionality was quantified in terms of Residual Variance, while the Relative Amplitude was introduced to account for individual differences in movement components. We observed that: experience-related modifications in multi-segmental actions exist, such as the progressive reduction of error-correction movements, especially in complex task condition. The systematic identification of motor patterns sensitive to the acquisition of specific experience could accelerate the learning process.

Citations

Jun 27, 2017·Scandinavian Journal of Medicine & Science in Sports·B PellegriniF Schena
Aug 4, 2020·Journal of Motor Behavior·Emily J CushionDaniel J Cleather
Apr 27, 2019·Frontiers in Neuroinformatics·Thomas H HaidPeter A Federolf
Aug 24, 2019·Frontiers in Bioengineering and Biotechnology·Emily J CushionDaniel J Cleather
Dec 22, 2020·Frontiers in Sports and Active Living·Bernd J StetterThorsten Stein
Jan 22, 2021·Clinical Biomechanics·Matteo ZagoManuela Galli

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