Singular-spectrum analysis: a toolkit for short, noisy chaotic signals
Conference proceedings on Interpretation of time series from nonlinear mechanical systems
Nonlinear Time Series Analysis
Nonlinear Time Series Analysis
User Daily Activity Classification from Accelerometry Using Feature Selection and SVM
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Multiple-activity human body tracking in unconstrained environments
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
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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%.