Research Article
Research on Spatial Trajectory Retrieval Method of Athletes Stepping Motion Data
@INPROCEEDINGS{10.1007/978-3-030-36405-2_44, author={Xiaofeng Xu}, title={Research on Spatial Trajectory Retrieval Method of Athletes Stepping Motion Data}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Athletes Stepping motion Spatial trajectory Retrieval methods}, doi={10.1007/978-3-030-36405-2_44} }- Xiaofeng Xu
Year: 2019
Research on Spatial Trajectory Retrieval Method of Athletes Stepping Motion Data
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_44
Abstract
Routine athletes action spatial trajectory data retrieval method can perform the trajectory retrieval to athletes action, but there is the deficiency of low retrieval ability when only the detailed spatial trajectory retrieval of athletes stepping motion is performed, for this reason, the research on spatial trajectory retrieval method of athletes stepping motion data is proposed. Based on the extraction of characteristic information of athlete’s stepping motion, the stepping motion R-Tree and its variant space index are determined, and the construction of the spatial trajectory retrieval model of athlete’s stepping motion data is achieved. Based on the spatial trajectory index design of athlete’s stepping motion data, the spatial trajectory retrieval result is output, and the research on spatial trajectory retrieval method is completed. The experimental data show that the retrieval capability of proposed trajectory retrieval method for athlete’s stepping motion is 53.41% better than that of conventional trajectory retrieval, which is suitable for detailed spatial trajectory retrieval of athlete’s stepping motion.
