{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T00:54:29Z","timestamp":1773708869708,"version":"3.50.1"},"reference-count":23,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T00:00:00Z","timestamp":1700697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003246","name":"NWO Domain Applied and Engineering Sciences (AES)","doi-asserted-by":"publisher","award":["R\/003635"],"award-info":[{"award-number":["R\/003635"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The large stream of data from wearable devices integrated with sports routines has changed the traditional approach to athletes\u2019 training and performance monitoring. However, one of the challenges of data-driven training is to provide actionable insights tailored to individual training optimization. In baseball, the pitching mechanics and pitch type play an essential role in pitchers\u2019 performance and injury risk management. The optimal manipulation of kinematic and temporal parameters within the kinetic chain can improve the pitcher\u2019s chances of success and discourage the batter\u2019s anticipation of a particular pitch type. Therefore, the aim of this study was to provide a machine learning approach to pitch type classification based on pelvis and trunk peak angular velocity and their separation time recorded using wearable sensors (PITCHPERFECT). The Naive Bayes algorithm showed the best performance in the binary classification task and so did Random Forest in the multiclass classification task. The accuracy of Fastball classification was 71%, whilst the accuracy of the classification of three different pitch types was 61.3%. The outcomes of this study demonstrated the potential for the utilization of wearables in baseball pitching. The automatic detection of pitch types based on pelvis and trunk kinematics may provide actionable insight into pitching performance during training for pitchers of various levels of play.<\/jats:p>","DOI":"10.3390\/s23239373","type":"journal-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T11:31:25Z","timestamp":1700739085000},"page":"9373","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Machine Learning Approach for Pitch Type Classification Based on Pelvis and Trunk Kinematics Captured with Wearable Sensors"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1282-984X","authenticated-orcid":false,"given":"Larisa","family":"Gomaz","sequence":"first","affiliation":[{"name":"Delft Institute of Applied Mathematics, Delft University of Technology, 2628 CD Delft, The Netherlands"},{"name":"BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Celine","family":"Bouwmeester","sequence":"additional","affiliation":[{"name":"BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"van der Graaff","sequence":"additional","affiliation":[{"name":"PITCHPERFECT, 4814 GA Breda, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4919-872X","authenticated-orcid":false,"given":"Bart","family":"van Trigt","sequence":"additional","affiliation":[{"name":"BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0292-6520","authenticated-orcid":false,"given":"DirkJan","family":"Veeger","sequence":"additional","affiliation":[{"name":"BioMechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"911","DOI":"10.4085\/1062-6050-0511-19","article-title":"A review of workload-monitoring considerations for baseball pitchers","volume":"55","author":"Dowling","year":"2020","journal-title":"J. Athl. Train."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1177\/03635465020300040201","article-title":"Effect of Pitch Type, Pitch Count, and Pitching Mechanics on Risk of Elbow and Shoulder Pain in Youth Baseball Pitchers","volume":"30","author":"Lyman","year":"2002","journal-title":"Am. J. Sport. Med."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1177\/0363546505280431","article-title":"Kinetic Comparison among the Fastball, Curveball, Change-up, and Slider in Collegiate Baseball Pitchers","volume":"34","author":"Fleisig","year":"2006","journal-title":"Am. J. Sport. Med."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1177\/1941738109338546","article-title":"Baseball Pitching Biomechanics in Relation to Injury Risk and Performance","volume":"1","author":"Fortenbaugh","year":"2009","journal-title":"Sport. Healthc. Multidiscip. Approach"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1177\/0363546509340226","article-title":"The Effect of Pitching Biomechanics on the Upper Extremity in Youth and Adolescent Baseball Pitchers","volume":"37","author":"Davis","year":"2009","journal-title":"Am. J. Sport. Med."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1136\/bjsports-2016-096581","article-title":"How much is too much? (Part 1) International Olympic Committee consensus statement on load in sport and risk of injury","volume":"50","author":"Soligard","year":"2016","journal-title":"Br. J. Sport. Med."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1123\/jab.23.1.42","article-title":"Effects of Upper Trunk Rotation on Shoulder Joint Torque among Baseball Pitchers of Various Levels","volume":"23","author":"Aguinaldo","year":"2007","journal-title":"J. Appl. Biomech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/0021-9290(93)90084-R","article-title":"Sequential motions of body segments in striking and throwing skills: Descriptions and explanations","volume":"26","author":"Putnam","year":"1993","journal-title":"J. Biomech."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"269","DOI":"10.7600\/jpfsm.7.269","article-title":"Timing of peak pelvis and thorax rotation velocity in baseball pitching","volume":"7","author":"Hoozemans","year":"2018","journal-title":"J. Phys. Fit. Sport. Med."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1177\/0363546507310074","article-title":"A Biomechanical Comparison of Youth Baseball Pitches: Is the Curveball Potentially Harmful?","volume":"36","author":"Dun","year":"2008","journal-title":"Am. J. Sport. Med."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1123\/jab.14.1.1","article-title":"Kinematic Comparisons of Throwing Different Types of Baseball Pitches","volume":"14","author":"Escamilla","year":"1998","journal-title":"J. Appl. Biomech."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3358","DOI":"10.1177\/0363546517730052","article-title":"Biomechanical Comparisons Among Fastball, Slider, Curveball, and Changeup Pitch Types and Between Balls and Strikes in Professional Baseball Pitchers","volume":"45","author":"Escamilla","year":"2017","journal-title":"Am. J. Sport. Med."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1080\/14763141.2016.1159319","article-title":"Differences among fastball, curveball, and change-up pitching biomechanics across various levels of baseball","volume":"15","author":"Fleisig","year":"2016","journal-title":"Sport. Biomech."},{"key":"ref_14","unstructured":"Hoang, P. (2015). Supervised Learning in Baseball Pitch Prediction and Hepatitis C Diagnosis. [Ph.D. Thesis, North Carolina State University]."},{"key":"ref_15","unstructured":"Ganeshapillai, G., and Guttag, J.V. (2012, January 2\u20133). Predicting the Next Pitch. Proceedings of the MIT Sloan Sports Analytics Conference, Boston, MA, USA."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"85","DOI":"10.3233\/JSA-170171","article-title":"Using multi-class classification methods to predict baseball pitch types","volume":"4","author":"Sidle","year":"2018","journal-title":"J. Sport. Anal."},{"key":"ref_17","unstructured":"Attarian, A., Danis, G., Gronsbell, J., Iervolino, G., and Tran, H. (2013, January 13\u201315). A Comparison of Classification Methods with an Application to Classifying Baseball Pitches. Proceedings of the International MultiConference of Engineers and Computer Scientists, Hong Kong."},{"key":"ref_18","unstructured":"Pane, M.A., Ventura, S.L., Steorts, R.C., and Thomas, A.C. (2013). Trouble with the Curve: Improving MLB Pitch Classification. arXiv."},{"key":"ref_19","unstructured":"Hamilton, M., Hoang, P., Layne, L., Murray, J., Padget, D., Stafford, C., and Tran, H. (2014, January 6\u20138). Applying Machine Learning Techniques to Baseball Pitch Prediction. Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, France."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"40","DOI":"10.3390\/sports3010040","article-title":"Pitch Sequence Complexity and Long-Term Pitcher Performance","volume":"3","author":"Bock","year":"2015","journal-title":"Sports"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Gomaz, L., Veeger, D., Van Der Graaff, E., Van Trigt, B., and Van Der Meulen, F. (2021). Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data. Sensors, 21.","DOI":"10.3390\/s21227442"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v028.i05","article-title":"Building Predictive Models in R Using the caret Package","volume":"28","author":"Kuhn","year":"2008","journal-title":"J. Stat. Softw."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1007\/s42081-020-00079-8","article-title":"Application of VBGMM for pitch type classification: Analysis of TrackMan\u2019s pitch tracking data","volume":"4","author":"Umemura","year":"2021","journal-title":"Jpn. J. Stat. Data Sci."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/23\/9373\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:28:40Z","timestamp":1760131720000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/23\/9373"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,23]]},"references-count":23,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["s23239373"],"URL":"https:\/\/doi.org\/10.3390\/s23239373","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,23]]}}}