传感技术学报2016，Vol.29Issue(3)：384-389,6.DOI:10.3969/j.issn.1004-1699.2016.03.014
基于sEMG的行走步态非均匀特性及其对识别的影响
Non-Uniform Characteristics and Its Recognition Effects for Walking Gait Based on sEMG
摘要
Abstract
The characteristics of the human physiology and motion are the important factors affecting the gait recog⁃nition. By means of the experimental data from the lower limb motion,firstly the surface electromyography(sEMG) was de-noised by the wavelet method and the feature samples were extracted,subsequently the classification and recognition were implemented by constructing the support vector machine(SVM)classifier,and the non-uniform(an⁃isochronism)characteristics of the gait cycle were discussed in detail. The results show that even in a uniform walk⁃ing condition,there still exit some non-uniform characteristics in the human gait cycle,which can affect the accura⁃cy of the gait recognition. The work has a valuable reference to further study the gait stability and recognition rate.关键词
步态识别/肌电信号/支持向量机/非均匀特性Key words
gait recognition/EMG/support vector machine/non-uniform characteristics分类
信息技术与安全科学引用本文复制引用
王佳佳,高发荣,孙曜,罗志增..基于sEMG的行走步态非均匀特性及其对识别的影响[J].传感技术学报,2016,29(3):384-389,6.基金项目
国家自然科学基金项目（61372023，61172134）；浙江省自然科学基金项目 （）
