基于可变形状基的自适应运动参数识别方法  

An Adaptive Motion Parameters Recognition Method Based on Deformable Shape

作　　者：陈海英[1] 李连兵[2] 

机构地区：[1]华中农业大学楚天学院,湖北武汉430205 [2]信阳师范学院数学与信息科学学院,河南信阳464000

出　　处：《信阳师范学院学报（自然科学版）》2014年第4期601-604,共4页Journal of Xinyang Normal University(Natural Science Edition)

基　　金：湖北省高校省级教学研究项目(2012458);华中农业大学楚天学院科研项目(201405)

摘　　要：针对传统运动参数测量方法估计结果偏差较大的问题,为了提高运动参数的测量精度,提出一种可变形状基的自适应运动参数识别方法.首先运动员的运动可以看作是一个随机过程,通过计算运动员的形心坐标,确定运动状态下运动员的形状基矩阵,然后使用测量矩阵的秩来计算形状基数量的可变性,最后获得形状基在噪声干扰情况下的最优计算结果.仿真结果表明,本文方法可以更加准确检测出人体运动的相关参数,提高了参数的测量精度.Aiming at the large deviation problem of traditional measurement methods in motion parameters estima-tion, an adaptive motion parameters recognition method based on deformable shape was presented to improve the meas-urement accuracy of the motion parameters. Firstly, because athlete motion is a random process, the motion state shape matrix can be acquired by computing athletes centroid coordinates. Then the variability of shape number is calculated using rank of measurement matrix. Finally, the optimal calculation results are obtained under noise interference. The simulation results showed that this method could more accurately measure the movement parameters and improve the measurement accuracy of parameters.

关 键 词：运动姿态 运动参数识别 形状基 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]