Retrieval of Human Motion Data Based on Energy Model

A novel method based on kinetic energy is proposed for the retrieval of human motion，which is different from the traditional retrieval method based on spatial position.The entropy is used to extract key joints，which are taken in the later steps to compare different motions.To speed up retrieval，the index is built up based on Keogh lower bound.Finally，the dynamic time warping distance is used to measure the similarity of different motions.Experimental results show that our method is accurate and efficient.