Abstract—Human Gait analysis is an important subject given
its application to the study of pathologies of the human
locomotor system. The study of the chaotic behavior of this
complex system can help to understand in deep the variability of
the human gait patterns. This work explains how to develop an
acquisition and analysis tool in a twofold manner: first, a simple
and practical setup is implemented in order to achieve the
measurement of a person Center of Mass (CoM) when walking;
second, an improved method for estimating Lyapunov exponents
is described in order to analyze the recorded time-series chaotic
behavior.
Index Terms—Chaotic time-series, human gait, Lyapunov
exponents.
D. Gomez Rivera, A. D. Palomino Merino, and M. A. D. Vargas Treviño
are Benemérita Universidad Autónoma de Puebla, Av. San Claudio y 18 sur,
Ciudad Universitaria, Puebla, México (e-mail: danielgomez@ece.buap.mx,
palomino@ece.buap.mx, mavargas@ece.buap.mx).
Gibran Etcheverry is with the Universidad de las Américas Puebla, Sta.
Catarina Mártir. Cholula, Puebla, México (e-mail:
gibran.etcheverry@udlap.mx).
[PDF]
Cite:D. Gomez Rivera, A. D. Palomino Merino, M. A. D. Vargas Treviño, and G. Etcheverry, "Chaotic Analysis on Human Gait Time-Series Signals," International Journal of Information and Electronics Engineering vol. 6, no. 5, pp. 313-316, 2016.