Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data

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 cont...

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Auteurs principaux:	Larisa Gomaz, DirkJan Veeger, Erik van der Graaff, Bart van Trigt, Frank van der Meulen
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	ball velocity inertial measurement unit multilevel modeling pitching baseball Chemical technology TP1-1185
Accès en ligne:	https://doaj.org/article/5eaeabc9b6914b32a0eda1685c374995
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id	oai:doaj.org-article:5eaeabc9b6914b32a0eda1685c374995
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spelling	oai:doaj.org-article:5eaeabc9b6914b32a0eda1685c3749952021-11-25T18:56:27ZIndividualised Ball Speed Prediction in Baseball Pitching Based on IMU Data10.3390/s212274421424-8220https://doaj.org/article/5eaeabc9b6914b32a0eda1685c3749952021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7442https://doaj.org/toc/1424-8220Ball 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.Larisa GomazDirkJan VeegerErik van der GraaffBart van TrigtFrank van der MeulenMDPI AGarticleball velocityinertial measurement unitmultilevel modelingpitchingbaseballChemical technologyTP1-1185ENSensors, Vol 21, Iss 7442, p 7442 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ball velocity inertial measurement unit multilevel modeling pitching baseball Chemical technology TP1-1185
spellingShingle	ball velocity inertial measurement unit multilevel modeling pitching baseball Chemical technology TP1-1185 Larisa Gomaz DirkJan Veeger Erik van der Graaff Bart van Trigt Frank van der Meulen Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
description	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.
format	article
author	Larisa Gomaz DirkJan Veeger Erik van der Graaff Bart van Trigt Frank van der Meulen
author_facet	Larisa Gomaz DirkJan Veeger Erik van der Graaff Bart van Trigt Frank van der Meulen
author_sort	Larisa Gomaz
title	Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
title_short	Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
title_full	Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
title_fullStr	Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
title_full_unstemmed	Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
title_sort	individualised ball speed prediction in baseball pitching based on imu data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5eaeabc9b6914b32a0eda1685c374995
work_keys_str_mv	AT larisagomaz individualisedballspeedpredictioninbaseballpitchingbasedonimudata AT dirkjanveeger individualisedballspeedpredictioninbaseballpitchingbasedonimudata AT erikvandergraaff individualisedballspeedpredictioninbaseballpitchingbasedonimudata AT bartvantrigt individualisedballspeedpredictioninbaseballpitchingbasedonimudata AT frankvandermeulen individualisedballspeedpredictioninbaseballpitchingbasedonimudata
_version_	1718410525847584768

Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data

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