Biometrics from gait using feature value method

Authors:
Tianxiang Zhang;Gentiane Venture
Affiliations:
Department of Mechanical Systems Engineering, Tokyo Univ. of Agriculture and Technology, Japan;Department of Mechanical Systems Engineering, Tokyo Univ. of Agriculture and Technology, Japan
Venue:
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
Year:
2012

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Abstract

In order to develop truly intelligent systems, it is necessary to improve their ability to understand non-verbal communication. We propose a novel framework to recognize individuals and emotions from gait, in order to improve HRI. We collected the motion data of the torso from 4 professional actors' gait, using motion capture system, and 7 non-actors' using 2 IMU sensors. We developed Feature Value Method which is a PCA based classifier and finally we achieved high recognition rate through cross-validation.