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Segmentation and Transition Techniques for Plausible Dance Motion Generation  

Kang, Kyung-Kyu (숭실대학교 미디어학과)
Choung, Yu-Jean (숭실대학교 미디어학과)
Han, Kwang-Pa (숭실대학교 미디어학과)
Kim, Dong-Ho (숭실대학교 미디어학부)
Abstract
This paper presents novel segmentation and transition techniques for dancing motion synthesis. The segmentation method for dancing motions is based on Laban Movement Analysis (LMA). We assume a dance sequence as a set of small dancing motions. To segment a dancing motion is a subjective, psychological, and complex problem, so we extract the shape factor of LMA from a dance motion and observe shape's changes to find the boundaries of dance segments. We also introduce a transition method that meets constraints on the feet. This method that is based on a linear interpolation modifies the intermediate posture motion after analyzing footprint positions. The posture could be a key-frame between source motion and target motion on the transition. With the proposed techniques, it would be easy for multimedia applications to generate plausible dance motions.
Keywords
Character animation; Dance motion; Motion analysis; Motion segmentation; Motion synthesis;
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