Individual Recognition from Gait Using Feature Value Method

被引：10

作者：

Zhang, Tianxiang ^{[1
]}

Venture, Gentiane ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Mech Syst Engn, Tokyo, Japan

来源：

CYBERNETICS AND INFORMATION TECHNOLOGIES | 2012年 / 12卷 / 03期

关键词：

Gait; Recognition; PCA; Feature vector; Exclusion method;

D O I：

10.2478/cait-2012-0024

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a novel framework to recognize individuals from gait, in order to improve HRI. We collected the motion data of the torso from 13 persons' gait, using 2 IMU sensors. We developed Feature Value Method which is a PCA based classifier and we achieved an average individual recognition rate of 94% through cross-validation.

引用

页码：86 / 95

页数：10

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