Pitch type classification based on pelvis and trunk IMU data

Classification of pitch types outside the laboratory or game environment provide benefits in designing and outlining training routines to reduce injury and improve performance. Current classification approaches are based on vision-based optical data, however these optical data is often not available in training sessions. The aim of the current...

The role of an Accuracy Restriction on the Separation Time between the Pelvis and the Trunk in Baseball Pitching

The purpose of this study was to determine whether a change of an accuracy restriction (AR) leads to a change in the separation time between the peak rotational velocities of the pelvis and the trunk during a pitching motion, while the ball velocity is kept constant. The peak rotational velocities of the pelvis, trunk, the separation time and...

Tennis Stroke Recognition: Stroke classification using inertial measuring unit and machine learning algorithm in Tennis

One interesting part of the application of human activity recognition is sports motion recognition and classification. In recent years, many commercial wearable devices have been used for recording and supervising motion data information during sports. However, their claimed high-accuracy results but motion recognition and classification method...