Analysis of temporal Kinect motion capturing data
Frank-Michael Schleif, Thomas Villmann · 2013
Motion capturing is a popular technique in movie production, for animated cartoons, but also effectively used in computer games. The development of computer games and animated cartoons requires a lot of manual work getting even more complicated by the use of motion capturing data. Novel approaches try to employ machine learning algorithms to support the computer assisted development of games and cartoons. The major task we consider is to predict movements and gestures from motion capturing data. In a small study we compare different machine learning approaches for the analysis of static and dynamic motion capturing data and highlight current potentials and challenges.