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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2016 Vol.6(5): 313-316 ISSN: 2010-3719
DOI: 10.18178/IJIEE.2016.6.5.645

Chaotic Analysis on Human Gait Time-Series Signals

D. Gomez Rivera, A. D. Palomino Merino, M. A. D. Vargas Treviño, and G. Etcheverry
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).


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.

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