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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. Parameters involved in the reconstruction and
characterization process are evaluated to examine the effect in gait
identification. The method is tested in five volunteers, obtaining an overall
accuracy of 92%.
CitationRuiz, F. [et al.]. Gait identification by using spectrum analysis on state space reconstruction. A: International Work-Conference on Artificial Neural Networks. "Advances in Computational Intelligence : Advances in Computational Intelligence Advances in Computational Intelligence 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II". Torremolinos, Málaga: Springer, 2011, p. 597-604.
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