Motor learning in real-world pool billiards

Scientific Reports
Shlomi HaarA Aldo Faisal

Abstract

The neurobehavioral mechanisms of human motor-control and learning evolved in free behaving, real-life settings, yet this is studied mostly in reductionistic lab-based experiments. Here we take a step towards a more real-world motor neuroscience using wearables for naturalistic full-body motion-tracking and the sports of pool billiards to frame a real-world skill learning experiment. First, we asked if well-known features of motor learning in lab-based experiments generalize to a real-world task. We found similarities in many features such as multiple learning rates, and the relationship between task-related variability and motor learning. Our data-driven approach reveals the structure and complexity of movement, variability, and motor learning, enabling an in-depth understanding of the structure of motor learning in three ways: First, while expecting most of the movement learning is done by the cue-wielding arm, we find that motor learning affects the whole body, changing motor-control from head to toe. Second, during learning, all subjects decreased their movement variability and their variability in the outcome. Subjects who were initially more variable were also more variable after learning. Lastly, when screening the link ...Continue Reading

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Citations

Jan 28, 2021·PloS One·Shlomi HaarA Aldo Faisal
Feb 4, 2021·BMC Sports Science, Medicine and Rehabilitation·Jing Wen PanPui Wah Kong
Aug 8, 2021·Trends in Cognitive Sciences·Dietrich Stout
Aug 17, 2021·Frontiers in Psychology·Jing Wen PanPui Wah Kong

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Software Mentioned

Xsens MVN
OpenCV
MVN Analyze
Xsens
Matlab

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