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
收藏
页码：86 / 95
页数：10
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