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基于SVM-KNN的人体步态相位识别 被引量：3

Phase Recognition of Human Gait Based on SVM-KNN
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摘要 本文对各种常用分类器进行优缺点分析,最后选择了基于阈值分割的SVM-KNN方法识别步态相位,并与SVM、KNN方法进行比较。 In this paper, the advantages and disadvantages of various classifiers are analyzed. Finally, SVM-KNN method based on threshold segmentation is selected to identify gait phase, and compared with SVM and KNN methods.
作者 张语萌 李志俊 步子豪 陶加贝 ZHANG Yu-meng;LI Zhi-jun;Bu Zi-hao;TAO Jia-bei(Wuhan Institute of Automation,Wuhan University of Technology,Hubei Wuhan 430070,China)
机构地区 武汉理工大学自动化学院
出处 《科技视界》 2019年第28期23-24,26,共3页 Science & Technology Vision
关键词 外骨骼机器人 步态相位识别 SVM-KNN 阈值分割 Exoskeleton robot Gait phase recognition SVM-KNN Threshold segmentation
分类号 TP242 [自动化与计算机技术—检测技术与自动化装置]
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科技视界
2019年 第28期

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