Delft Institute of Applied Mathematics, Delft University of Technology, 2628 CD Delft, The Netherlands.
BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands.
Sensors (Basel). 2021 Nov 9;21(22):7442. doi: 10.3390/s21227442.
Ball velocity is considered an important performance measure in baseball pitching. Proper pitching mechanics play an important role in both maximising ball velocity and injury-free participation of baseball pitchers. However, an individual pitcher's characteristics display individuality and may contribute to velocity imparted to the ball. The aim of this study is to predict ball velocity in baseball pitching, such that prediction is tailored to the individual pitcher, and to investigate the added value of the individuality to predictive performance. Twenty-five youth baseball pitchers, members of a national youth baseball team and six baseball academies in The Netherlands, performed ten baseball pitches with maximal effort. The angular velocity of pelvis and trunk were measured with IMU sensors placed on pelvis and sternum, while the ball velocity was measured with a radar gun. We develop three Bayesian regression models with different predictors which were subsequently evaluated based on predictive performance. We found that pitcher's height adds value to ball velocity prediction based on body segment rotation. The developed method provides a feasible and affordable method for ball velocity prediction in baseball pitching.
球速被认为是棒球投球的一个重要表现指标。正确的投球力学在最大限度地提高球速和使棒球投手无损伤参与比赛方面发挥着重要作用。然而，每个投手的特点表现出个体差异，并可能对赋予球的速度产生影响。本研究旨在预测棒球投球中的球速，使预测针对个体投手，并研究个体差异对预测性能的附加值。25 名青年棒球投手，来自荷兰的一支国家青年棒球队和六家棒球学院，以最大努力投了十个棒球。通过放置在骨盆和胸骨上的 IMU 传感器测量骨盆和躯干的角速度，同时用雷达枪测量球速。我们开发了三个具有不同预测因子的贝叶斯回归模型，随后根据预测性能进行了评估。我们发现，投手的身高可以增加基于身体部位旋转的球速预测的附加值。所开发的方法为棒球投球中的球速预测提供了一种可行且经济实惠的方法。
