基于模糊理论的足底压力分布模式识别  

Pattern Recognition of Plantar Pressure Distribution Based on Fuzzy Theory

作　　者：刘细阳[1] 冯思玲[1] 陈羡美[1] 刘金容[1] 

机构地区：[1]海南大学信息工程学院,海南海口570228

出　　处：《湘潭大学自然科学学报》2016年第1期93-96,共4页Natural Science Journal of Xiangtan University

基　　金：海南省社会发展科技专项(2015SF33);海南省自然科学基金项目(201562226;20156228)

摘　　要：采集了正常人足底压力的数据,统计分析了行走过程中摆动相5个阶段的压力分布关系,指出采用模糊理论方法能够更好地对足底压力分布模式进行识别.在实验统计的基础上采用拟合方法得出表征足底压力大小的隶属度函数,结合实验数据固定了FCM算法的聚类中心,精简了算法,能够快速确定受试者处于步行状态中的何种支撑相,并对该算法进行仿真验证,实验结果验证了该方法的可行性.In this paper,normal plantar pressure data was collected,pressure distribution relations of five stages during walking were statisticsal analysed,Fuzzy theory is pointed to be better recognition of plantar pressure distribution pattern.On the basis of experimental statistics,membership functions characterizing the size of the plantar pressure is obtained by using the fitting method.Combining with experimental data,the clustering algorithm center of FCM is fixed,and the algorithm is streamlined,which can quickly determine the status of a subject in which walking support phase,and the algorithm simulation.Experimental results demonstrate the feasibility of this method.

关 键 词：模糊理论 足底压力 模式识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]