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Three-dimensional motion capture data during repetitive overarm throwing practice
Gizem Ozkaya1, Hae Ryun Jung1, In Sub Jeong1
1Biomechanics and Sports Engineering Lab, Department of Physical Education, Kookmin University, Seoul, South Korea.
Abstract:
Three-dimensional motion capture analysis is considered the gold standard for any movement research. Motion capture data were recorded for 7 healthy female participants with no prior throwing experience to investigate the learning process for overarm throwing during a selected period. Participants were monitored 3 times a week for 5 weeks. Each session consisted of 15 dominant and 15 nondominant hand side overarm throws. A total of 3,150 trials were recorded and preprocessed (labeling reflective markers) for further analysis. The presented dataset can provide valuable information about upper extremity kinematics of the learning process of overarm throwing without any kind of feedback. Furthermore, this dataset may be used for more advanced analysis techniques, which could lead to more insightful information.
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