Automatically Constructing a Compact Concept Map of Dance Motion with Motion Captured Data

In recent years, E-learning has become a popular research topic with its wide applications. As an important factor of E-learning, concept map is a powerful way to manage knowledge. In this paper, we describe our approach for determining a compact concept map of an input dance motion obtained from the 3D motion capture technology. The dance motion is analyzed to extract the repetitive patterns and then the prerequisite relations are computed as the inclusion relation among patterns. A concept map can then be constructed automatically for illustrating such relations. The transitive reduction algorithm is applied to remove the redundant edges such that the resulting concept map retains a compact representation of the dance structure. This concept map can be used to generate dance lessons such that a learner can learn the dance motion in a step-by-step and logical manner. © 2010 Springer-Verlag Berlin Heidelberg.