Gait identification by using spectrum analysis on state space reconstruction

1Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

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. 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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free