Multi-segmental movement patterns reflect juggling complexity and skill level |
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| Affiliation: | 1. Dpt. of Biomedical Sciences for Health, Università degli Studi di Milano, via Mangiagalli 31, 20133 Milano, Italy;2. Dept. of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano Piazza Leonardo da Vinci 32, 20133 Milano, Italy;3. Dept. of Sport Science, University of Innsbruck, Fürstenweg 185, 6020 Innsbruck, Austria;4. Institute of Molecular Bioimaging and Physiology, National Research Council, Segrate, Italy;1. Department of Kinesiology, The Pennsylvania State University, University Park, USA;2. Department of Kinesiology, The University of Georgia, Athens, USA;1. Department of Neurology, Saarland University Hospital, D-66421 Homburg, Saar, Germany;2. Institute of Applied Mathematics, Department of Mathematics, Saarland University, D-66041 Saarbrücken, Germany;3. Institute of Medical Biometrics, Epidemiology and Medical Informatics, Saarland University Hospital, D-66421 Homburg, Germany |
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| 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. |
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| Keywords: | Coordination Principal movements Motor learning PCA |
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