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Temporal Control and Hand Movement Efficiency in Skilled Music Performance

Overview of attention for article published in PLOS ONE, January 2013
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Title
Temporal Control and Hand Movement Efficiency in Skilled Music Performance
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0050901
Pubmed ID
Authors

Werner Goebl, Caroline Palmer

Abstract

Skilled piano performance requires considerable movement control to accomplish the high levels of timing and force precision common among professional musicians, who acquire piano technique over decades of practice. Finger movement efficiency in particular is an important factor when pianists perform at very fast tempi. We document the finger movement kinematics of highly skilled pianists as they performed a five-finger melody at very fast tempi. A three-dimensional motion-capture system tracked the movements of finger joints, the hand, and the forearm of twelve pianists who performed on a digital piano at successively faster tempi (7-16 tones/s) until they decided to stop. Joint angle trajectories computed for all adjacent finger phalanges, the hand, and the forearm (wrist angle) indicated that the metacarpophalangeal joint contributed most to the vertical fingertip motion while the proximal and distal interphalangeal joints moved slightly opposite to the movement goal (finger extension). An efficiency measure of the combined finger joint angles corresponded to the temporal accuracy and precision of the pianists' performances: Pianists with more efficient keystroke movements showed higher precision in timing and force measures. Keystroke efficiency and individual joint contributions remained stable across tempo conditions. Individual differences among pianists supported the view that keystroke efficiency is required for successful fast performance.

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Geographical breakdown

Country Count As %
United Kingdom 3 2%
Japan 3 2%
France 2 1%
Spain 2 1%
Canada 1 <1%
Switzerland 1 <1%
United States 1 <1%
Unknown 134 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 21%
Researcher 24 16%
Student > Master 23 16%
Student > Bachelor 21 14%
Other 11 7%
Other 25 17%
Unknown 12 8%
Readers by discipline Count As %
Engineering 30 20%
Arts and Humanities 25 17%
Psychology 23 16%
Computer Science 14 10%
Medicine and Dentistry 12 8%
Other 30 20%
Unknown 13 9%