不同运动能力篮球爱好者下肢生物力学信号分析  

The Analysis about Lower-limb Biomechanical Signal of Different Athletic Ability Basketball Enthusiasts

作　　者：方正[1] 王倩[1] 邓欣萍 王超[1] 余韬[1] 

机构地区：[1]厦门大学机电工程系,厦门361005

出　　处：《科学技术与工程》2016年第20期114-119,共6页Science Technology and Engineering

基　　金：国家自然科学基金(61571381);中央高校基本科研业务费专项资金(2013121018);福建省软科学计划项目(2016R0083)资助

摘　　要：目前,篮球比赛在世界范围内越来越受欢迎;但对于如何评价一个运动员的能力还没有一个统一的标准。通过惯性测量单元采集校篮球队、院篮球队以及普通篮球爱好者三个不同能力组别运动员在完成预先设计动作时的下肢运动数据,对数据进行处理,初步排除一些弱相关特征参数和得出一些强相关特征参数;从而提出能区别不同能力运动员的特征参数。再通过模式识别以及交叉验证思想,对上述特征值参数进行检验。通过对数据的分析处理,提出部分能够区别不同能力组别的特征参数,并通过检验得出特征参数对运动员区分时的正确率在60%至90%之间,初步确定相关特征参数的有效性。Recently,basketball competitions have become increasingly popular all around the world,however there is not a standardized method to assess and evaluate the athletic ability of basketball players. The biomechanics information from different basketball players will be collected and extracted the characteristic parameters that can distinguish different basketball players. Players are divided into three groups according to their athletic ability. Several experiments were conducted to collect the lower-limb signal through IMU—Inertial Measurement Unit—when three groups' players complete the pre-designed motion,and processed the signal precluded some weak correlation characteristic parameters and got some strong correlation characteristic parameters. After analysis,some signals can be used to distinguish players among the school team,department team and common players,and the accuracy of evaluation is between 60% and 90%.

关 键 词：模式识别 交叉验证 惯性测量单元 生物力学信号 运动能力评估 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]