Robust pause detection using 3D motion capture data for interactive dance

In this paper, we present a robust pause detection algorithm for an interactive dance system using 3D motion capture data. The algorithm uses joint angle and shape context as two types of feature vectors obtained from both labeled and unlabeled data streams to detect pauses of the mover in the space. By looking at variances of the feature vectors over a time window, the probability of pause is computed. Satisfactory interactive dance performances have been successfully created and presented using the reported system.