Personal skill identification using time series motion picture data

We present a personal sport skill identification using time series motion picture data, focused on volleyball. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as Naive Bayes Tree or C4.5 decision-tree learning algorithm. We identify internal models for technical skills as evaluation skillfulness for volleyball attacks, and discuss mono and meta-functional skills for improving skills.