Individual Recognition from Gait Using Feature Value Method

Tianxiang Zhang; Gentiane Venture

doi:10.2478/cait-2012-0024

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Individual Recognition from Gait Using Feature Value Method

Cybernetics and Information Technologies

Volume 12 (2012): Issue 3 (September 2012)

By: Tianxiang Zhang and Gentiane Venture

Open Access

|Mar 2013

Abstract

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.

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Articles in this issue

DOI: https://doi.org/10.2478/cait-2012-0024 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 86 - 95

Published on: Mar 22, 2013

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Gait,

PCA,

Related subjects:

Information technology

© 2013 Tianxiang Zhang, Gentiane Venture, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons License.

Volume 12 (2012): Issue 3 (September 2012)