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

FANG Zheng; ZENG Fu-rong; JIANG Jian-feng; CHEN Yang; WANG Chao

doi:10.13873/J.1000-9787(2017)01-0005-04

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

更新时间：2025-09-11

- Comparison and analysis of basketball players’ biomechanical signals with different gaits
- Vol. 36, Issue 1, Pages: 5-8(2017)
- 作者机构：
  
  厦门大学机电工程系
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2017)01-0005-04
  CLC： G841
- Published：2017
- 稿件说明：
移动端阅览
[1]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(01):5-8.

FANG Zheng, ZENG Fu-rong, JIANG Jian-feng, et al. Comparison and analysis of basketball players’ biomechanical signals with different gaits[J]. 2017, 36(1): 5-8.
[1]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(01):5-8. DOI： 10.13873/J.1000-9787(2017)01-0005-04.

FANG Zheng, ZENG Fu-rong, JIANG Jian-feng, et al. Comparison and analysis of basketball players’ biomechanical signals with different gaits[J]. 2017, 36(1): 5-8. DOI： 10.13873/J.1000-9787(2017)01-0005-04.

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。

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.

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references

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