It is important to select reliable tools that archers should use in archery competitions. For this reason, we focused on the arrows among the tools and developed a shooting machine for selecting arrows. It is important to imitate the movement of the right finger to release the arrow and the forward movement of the bow after the arrow is released. Therefore, these factors were considered when designing the machine. In this study, a shooting experiment was conducted in which the shooting cycle of twelve ends of six arrows was repeated five times (one end is defined as six arrows). Next, using the data from the impact points on the target, specific arrows with a large dispersion were identified. Cluster analysis was then conducted to identify the arrows that showed a high similarity distribution. Based on the above results, we were able to identify arrows with the most flaws and select arrows that archers should use. The results indicate the effectiveness of the method of selecting reliable arrows by rejecting flawed arrows.
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