Abstract
Recently, the interest in leisure and sports culture is increasing and the related industry is invigorating. In particular, baseball is the most popular sport in Korea. We focused on the pitching machine such as the two-wheeled and three-wheeled pitching machines. In this study, we applied a hand-sign glove with a tension sensor to mimic the catcher’s hand sign. An Android application in a smart phone was built to communicate with the primary body using the Bluetooth. Simulations were performed to predict the ball trajectory considering variations in the coefficients of friction between the wheel and ball, the wheel stiffness, and the rotational speeds of the wheel by the RecurDyn, which was the CAE commercial program. Before commercializing this machine, it was designed to be miniaturized and automatically feed the balls.
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