Published Online: Mar 22, 2013
Page range: 86 - 95
DOI: https://doi.org/10.2478/cait-2012-0024
Keywords
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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.