Abstract: A novel model based on kinetic energy is proposed and used to describe human motion. Based on the model, the motion coordination is introduced. The support vector machine is applied to classify the motion. The sequential index algorithm based on the Keogh lower bound is employed to measure the similarity of query motion and candidate motions exactly. Experimental result shows the method is accurate and efficient.

Key words: motion capture, motion retrieval, human motion energy model, human motion coordination model, Keogh lower bound

摘要： 提出一种新的借助于运动中产生的能量对运动进行描述的模型。引入运动协调性的概念，利用支持向量机和索引序列对运动进行粗分类。采用基于Keogh下界的线性索引算法精确地度量输入运动和候选动作之间的相似性。实验结果表明，该检索方法具有较好的速度和准确性。

关键词: 运动捕捉, 运动检索, 人体运动能量模型, 人体运动协调性模型, Keogh下界

CLC Number: 

• TP18