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%. © 2011 Springer-Verlag.
CITATION STYLE
Samà, A., Ruiz, F. J., Pérez, C., & Català, A. (2011). Gait identification by using spectrum analysis on state space reconstruction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6692 LNCS, pp. 597–604). https://doi.org/10.1007/978-3-642-21498-1_75
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