篮球运动员不同步态下生物力学信号对比分析

Comparison and analysis of basketball players' biomechanical signals with different gaits

通过便携式步态信息采集系统,将篮球运动员直线行走、跑步、运球时的步态信息采集保存至SD卡,后期基于支持向量机(SVM)的模式识别方法对数据离线处理。对比分析篮球运动员在不同步态下的生物力学信号特征。实验结果表明:该方法能够成功分类识别不同步态,验证了该系统的实用性。

By means of portable gait information acquisition system, gait information of basketball players including linear walking, running and dribble are collected and saved in SD card. Data are processed offline based on support vector machine（SVM） pattern recognition method afterwards. The biomechanical signal characteristics of basketball players under different gaits are compared and analyzed. Experimental results show that the proposed method can successfully identify different gaits and the practicability of the system is verified as well.