TY  - JOUR
AU  - Nebel, Adam R.
AU  - Schmitt, Abigail C.
PY  - 2026
TI  - Predicting elbow valgus torque from upper extremity baseball pitching kinematics using markerless motion capture
JO  - Sports Medicine and Health Science
SN  - 2097-6291
SP  - 426
EP  - 430
VL  - 8
IS  - 4
AB  - BackgroundMarkerless motion capture in sport is becoming widely available and increasingly popular. Because of the increase in popularity, it is important to determine if the values reported by these systems are similar to that of previous research, and for the purposes of injury prevention, if these values are able to predict elbow stress. PurposeWe aimed to investigate if elbow valgus torque can be predicted using data gathered with a KinaTrax® markerless motion capture system. Study Design: Cross-Sectional Study.MethodsTwenty-one college baseball pitchers partook in a preseason practice where they threw bullpen pitching sessions. An eight camera KinaTrax® markerless motion capture bullpen system, capturing at 300 ​Hz, was used to capturing their pitching motion. One fastball from each pitcher was randomly selected for analysis. A multiple regression analysis approach was used to predict peak elbow valgus torque using upper extremity kinematics.ResultsThe combination of maximum external rotation angle, elbow flexion angle at peak elbow valgus torque, elbow flexion angle at ball release, and percent of the pitching cycle when peak elbow flexion angle occurred significantly predicted peak elbow valgus torque (F4,16 ​= ​5.819, R2 ​= ​0.593, p = 0.004). Additionally, reported values were similar to those of published research in baseball pitching biomechanics.ConclusionThese findings suggest ecologically valid biomechanical data from markerless motion capture can be used to analyze key variables related to injury prevention in baseball pitching.
UR  - https://doi.org/10.1016/j.smhs.2025.02.006
DO  - 10.1016/j.smhs.2025.02.006