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篮球运动员不同步态下生物力学信号对比分析
引用本文:方正,曾富荣,江建烽,陈扬,王超. 篮球运动员不同步态下生物力学信号对比分析[J]. 传感器与微系统, 2017, 36(1). DOI: 10.13873/J.1000-9787(2017)01-0005-04
作者姓名:方正  曾富荣  江建烽  陈扬  王超
作者单位:厦门大学机电工程系,福建厦门,361005
基金项目:国家自然科学基金资助项目,中央高校基本科研业务费资助项目,福建省软科学计划资助项目
摘    要:
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.

关 键 词:步态  生物力学信号  支持向量机  模式识别

Comparison and analysis of basketball players' biomechanical signals with different gaits
FANG Zheng,ZENG Fu-rong,JIANG Jian-feng,CHEN Yang,WANG Chao. Comparison and analysis of basketball players' biomechanical signals with different gaits[J]. Transducer and Microsystem Technology, 2017, 36(1). DOI: 10.13873/J.1000-9787(2017)01-0005-04
Authors:FANG Zheng  ZENG Fu-rong  JIANG Jian-feng  CHEN Yang  WANG Chao
Abstract:
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.
Keywords:gait  biomechanical signal  support vector machine(SVM)  pattern recognition
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