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Gait recognition by using Spectrum Analysis on state space reconstruction
Albert Samà, Francisco J. Ruiz, Carlos Pérez-López, Andreu Català
228 - 236
10.3233/978-1-60750-842-7-228
Frontiers in Artificial Intelligence and Applications
Volume 232: Artificial Intelligence Research and Development
Abstract

This paper describes a method for identifying a person while walking by means of a triaxial accelerometer attached to the waist. Human gait is considered as a dynamical system whose attractor is reconstructed by time delay vectors. A Spectral Analysis on the state space reconstruction is used to characterize the attractor. The method is compared to other common methods used in gait recognition tasks through a preliminary test.

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