Similarity retrieval for motion capture data

Motion capture technology is widely used in animation and virtual reality. There are some problems with motion capture systems. We need to have special techniques to use the system. In addition, they are expensive. Therefore, the reuse of motion capture data has become widespread. To reuse motion capture data, target motion capture data must be retrieved from a huge motion capture database with a keyword search. We describe a similarity retrieval method that uses the characteristic features of motion extracted from motion capture data. The motion of human parts is extracted as individual features of motion. We focused our study on the motion of the limbs and the head. Similar motions are retrieved in steps using features at different levels of detail. Experimental results show that the method retrieves target motion capture data efficiently.