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Gait identification by means of box approximation geometry of reconstructed attractors in latent space

Author
Sama, A.; Ruiz, F.; Agell, N.; Perez, C.; Catala, A.; Cabestany, J.
Type of activity
Journal article
Journal
Neurocomputing
Date of publication
2013-02
Volume
121
Number
9
First page
79
Last page
88
DOI
https://doi.org/10.1016/j.neucom.2012.12.042 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0925231213001781#FCANote?np=y Open in new window
Abstract
This paper presents a novel gait recognition method which uses the signals measured by a single inertial sensor located on the waist. This method considers human gait as a dynamical system and employs a few singular values obtained by means of Singular Spectrum Analysis applied to scalar measurements from the inertial sensor. Singular values can be interpreted as the approximate edge length of the bounding box wrapping the attractor in the latent space. Effects of different parameters on the gai...
Keywords
Box approximation geometry, Gait recognition, Inertial sensors, Singular spectrum analysis
Group of research
CETpD - Technical Research Centre for Dependency Care and Autonomous Living
GREC - Knowledge Engineering Research Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
ISSET - Integrated Smart Sensors and Health Technologies

Participants