Individual Recognition from Gait Using Feature Value Method
نویسندگان
چکیده
منابع مشابه
Individual Recognition from Gait Using Feature Value Method
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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ژورنال
عنوان ژورنال: Cybernetics and Information Technologies
سال: 2012
ISSN: 1314-4081,1311-9702
DOI: 10.2478/cait-2012-0024