体操运动员踏跳动作数据的空间轨迹检索方法

检索体操运动员踏跳动作数据空间轨迹,有利于帮助运动员改善动作标准性,使其不易受伤且得分率更高。当前空间轨迹检索方法因索引机制不佳,只能检索较短的体操运动员踏跳动作数据空间轨迹,检索过程复杂且结果不可靠。提出一种新型体操运动员踏跳动作数据空间轨迹检索方法,采用层次化运动模型对体操运动员踏跳动作进行描述,将倾斜角度、最小外界矩形MER与紧密度、运动速度、外接矩形长宽和变化率等作为踏跳动作特征,对踏跳动作特征进行提取;依据提取的特征构建一个空间轨迹数据库,通过反向表技术完成索引。通过精确命中指标对相似度进行衡量,从而实现踏跳动作数据空间轨迹的匹配,完成体操运动员踏跳动作数据的空间轨迹检索。实验结果表明,所提方法索引性能强;且检索速度快、精度高,检索结果全面、稳定。

The gymnasts step pulse space trajectory data retrieval method

Retrieve gymnast tread beats for trajectory data space, to help athletes improve the movement standard, make its not easy injury and serves a higher.Current space trajectory retrieval method for indexing mechanism is poor, can only retrieve shorter gymnast step pulse data space trajectory, the retrieval process is complex and the result is not reliable.Put forward a new kind of gymnastics athletes step pulse data space trajectory retrieval methods, a hierarchical motion model for gymnasts step pulse is described, the tilt Angle, minimum external rectangle killing and tightness, the movement speed, the external rectangular width and rate of change as a step pulse characteristics, such as for step pulse characteristics were extracted, and based on the extracted features to build a spatial database, through a reverse index table technology.Through precise accuracy index to measure of similarity, so as to realize the matching of tread beats for trajectory data space, space trajectory the gymnast tread beats for data retrieval.The experimental results show that the proposed method the index performance is strong, and the retrieval speed, high precision, the comprehensive results and the stability.