With the development of motion capture techniques

more 3D motion libraries become available. In this paper

space transformation property and time property are extracted from human motion capture data

which compose 3D motion time sequence features. Given the assumption of the features of each joint is independent

a revised data-driven decision tree of anytime induction is automatically constructed to present the influence of each point during the comparison of motion similarity. Experiment results show that our approaches are effective for motion data retrieval.