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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data.

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This study predicts baseball pitching velocity by considering individual pitcher traits. Pitcher height was found to improve ball velocity predictions based on body segment rotation, offering a practical approach.

Keywords:
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Area of Science:

  • Sports Science
  • Biomechanics
  • Performance Analysis

Background:

  • Ball velocity is a key performance indicator in baseball pitching.
  • Pitching mechanics influence both ball velocity and injury prevention.
  • Individual pitcher characteristics may affect ball velocity.

Purpose of the Study:

  • To predict baseball pitching ball velocity tailored to individual pitchers.
  • To assess the added value of individual pitcher characteristics in velocity prediction.
  • To develop a feasible and affordable prediction method.

Main Methods:

  • Utilized Bayesian regression models to predict ball velocity.
  • Measured angular velocity of the pelvis and trunk using IMU sensors.
  • Recorded ball velocity with a radar gun for 25 youth baseball pitchers.

Main Results:

  • Pitcher height was identified as a significant predictor of ball velocity.
  • Incorporating individual characteristics improved predictive performance.
  • Developed models demonstrated predictive value for ball velocity.

Conclusions:

  • Individual pitcher characteristics, specifically height, enhance ball velocity prediction.
  • The developed Bayesian regression models offer a practical and cost-effective approach.
  • This method supports personalized training and performance optimization for baseball pitchers.