Determining relationships between kinematic sequencing and baseball pitch velocity using markerless motion capture
The purpose of this study was to determine how the timings and magnitudes of peak pelvis rotational velocity, peak trunk rotational velocity, peak elbow extension velocity, and peak shoulder internal rotation velocity affect pitch velocity. Eighty pitchers (187.2 ± 8.2cm, 89.3 ± 13.0kg, 20.1 ± 3.3yrs) had a minimum of 3 fastballs recorded and video was processed using pitchAITM. Average pitch velocity was 38.1 ± 2.5 m/s. A multilinear regression generated a significant prediction for pitch velocity (R2 = 0.368 and p < 0.01). Pitcher weight (ß = 0.535, p < 0.001), peak pelvis rotational velocity timing (ß = -0.157, p = 0.001), peak elbow extension timing (ß = 0.122, p = 0.006), and peak shoulder internal rotation timing (ß = -0.113, p = 0.018), were significant contributors to the multilinear model. In conclusion, player weight and their kinematic sequence metrics from pitchAITM can be significant predictors of pitch velocity.
© Copyright 2023 ISBS Proceedings Archive (Michigan). Northern Michigan University. Published by International Society of Biomechanics in Sports. All rights reserved.
| Subjects: | |
|---|---|
| Notations: | sport games |
| Tagging: | markerless Kinematik |
| Published in: | ISBS Proceedings Archive (Michigan) |
| Language: | English |
| Published: |
Milwaukee
International Society of Biomechanics in Sports
2023
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| Online Access: | https://commons.nmu.edu/isbs/vol41/iss1/10/ |
| Volume: | 41 |
| Issue: | 1 |
| Pages: | Article 9 |
| Document types: | congress proceedings |
| Level: | advanced |