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In the field of sports engineering, though policies for developing human resources in sports are promoted nationally, lack of managers and coaches who can give highly-qualified instruction to an individual player is an urgent problem. Therefore, a swing measurement unit is developed for quantitatively analyzing a batter's swing form in baseball. However, it is difficult for managers and coaches to utilize the sensor data and give players an instruction based on the data. The purpose of the study is to find out new knowledge for giving appropriate advice to individual players by analyzing the swing characteristics with the swing measurement unit. In order to verify whether the swing characteristics of university baseball players can be properly classified, the swing data and batting performance data were classified individually using the k-means method. As a result, when the swing characteristics and batting performance were classified into two cluster by the k-means method, the players could be classified with high accuracy. Furthermore, the principal component analysis was performed to examine the relationship between the measurement results obtained from the swing measurement device and the swing characteristics in conjunction with this classification result. The results of principal component analysis also showed that it was possible to classify high-ranked players and low-ranked players. From these results, it showed elements of the measurement items related to classification. It was found that players with long swing rotational radius, short swing time and high head speed were classified as high-ranked players.
In the field of sports engineering, though policies for developing human resources in sports are promoted nationally, lack of managers and coaches who can give highly-qualified instruction to an individual player is an urgent problem. Therefore, a swing measurement unit is developed for quantitatively analyzing a batter's swing form in baseball. However, it is difficult for managers and coaches to utilize the sensor data and give players an instruction based on the data. The purpose of the study is to find out new knowledge for giving appropriate advice to individual players by analyzing the swing characteristics with the swing measurement unit. In order to verify whether the swing characteristics of university baseball players can be properly classified, the swing data and batting performance data were classified individually using the k-means method. As a result, when the swing characteristics and batting performance were classified into two cluster by the k-means method, the players could be classified with high accuracy. Furthermore, the principal component analysis was performed to examine the relationship between the measurement results obtained from the swing measurement device and the swing characteristics in conjunction with this classification result. The results of principal component analysis also showed that it was possible to classify high-ranked players and low-ranked players. From these results, it showed elements of the measurement items related to classification. It was found that players with long swing rotational radius, short swing time and high head speed were classified as high-ranked players.
In recent years, as measurement devices have advanced due to sensor and information technology, we have been able to measure bat swing data just after baseball impact. Therefore, the purpose of this study was to examine the characteristics of a batter's swing using batting skill assessments from baseball coaches with significant experience. Finally, the practicality and effectiveness of baseball coaching methods, particularly for batting, were verified through this study. The subjects were 25 male university baseball players (age: 19.8 ± 1.0 yrs, body height: 174.5 ± 5.4 cm; body weight: 72.8 ± 5.1 kg). The participants were instructed to hit the ball placed on a tee stand. Nine types of tee-batting positions (course / height) were set for each participant depending on the upper and lower limits of the strike zone according to the baseball rules. Our main findings were as follows: 1) The swing characteristics (Depth: swing time and vertical bat angle, Height: head speed, rolling angular velocity, bat radius of rotation, horizontal bat angle, and vertical bat angle, Course: rolling angular velocity) varied with respect to ball positions, 2) Through batting skill assessment by two baseball coaches with significant experience, a good batter's swing can be characterized as high bat speed, short swing time, and high efficiency of rotational movement around the vertical axis. Additionally, the coaches suggested that for a good batter's swing, the vertical bat angle should be stable and smaller than 9°. These results provide useful information on assessment of bat swing training methods and exercises to hit the ball to different positions. Furthermore, this study can aid baseball coaches and/or players to objectively analyze a bat swing of a player.
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