Basketball players minimize the effect of motor noise by using near-minimum release speed in free-throw shooting

Hum Mov Sci. 2020 Apr:70:102583. doi: 10.1016/j.humov.2020.102583. Epub 2020 Jan 21.

Abstract

The aim of this study was to clarify the strategy used by basketball players during free-throw shooting to improve performance in the presence of motor noise. Two possible hypotheses were examined: the players minimize the release speed to decrease signal-dependent noise or the players maximize the shot success probability by accounting for their variability. Eight collegiate players and one professional player participated in this study by attempting shots from the free-throw line using a motion capture system. The solution manifold consisting of ball parameters at release was calculated and the optimal strategy was simulated by considering ball parameter variability; this result was compared with the actual data. Our results showed that participants selected the solution of near-minimum release speed. The deviation of the measured release angle from the minimum-speed angle was close to zero (2.8 ± 3.1). However, an increase in speed-dependent noise did not have a significant influence on the ball landing position through simulation. Additionally, the effect of release angle error on the ball landing position was minimum when using the minimum speed strategy. Therefore, the players minimize the release speed to minimize the effect of the release error on performance, instead of minimizing the speed-dependent noise itself. In other words, the strategy is "near-minimum-speed strategy" as well as "minimum-error-propagation strategy". These findings will be important for understanding how sports experts deal with intrinsic noise to improve performance.

Keywords: Noise; Release parameter; Sports biomechanics; Throwing; Variability.

MeSH terms

  • Adult
  • Algorithms
  • Athletic Performance / physiology*
  • Athletic Performance / psychology*
  • Basketball / physiology*
  • Biomechanical Phenomena
  • Female
  • Humans
  • Male
  • Noise*
  • Young Adult