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http://dx.doi.org/10.3795/KSME-A.2007.31.8.889

Chaos Analysis of Major Joint Motions for Young Males During Walking  

Park, Jung-Hong (부산대학교 기계기술연구소)
Kim, Kwang-Hoon (부산대학교 기계설계대학원)
Son, Kwon (부산대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.31, no.8, 2007 , pp. 889-895 More about this Journal
Abstract
Quantifying dynamic stability is important to assessment of falling risk or functional recovery for leg injured people. Human locomotion is complex and known to exhibit nonlinear dynamical behaviors. The purpose of this study is to quantify major joints of the body using chaos analysis during walking. Time series of the chaotic signals show how gait patterns change over time. The gait experiments were carried out for ten young males walking on a motorized treadmill. Joint motions were captured using eight video cameras, and then three dimensional kinematics of the neck and the upper and lower extremities were computed by KWON 3D motion analysis software. The correlation dimension and the largest Lyapunov exponent were calculated from the time series to quantify stabilities of the joints. This study presents a data set of nonlinear dynamic characteristics for eleven joints engaged in normal level walking.
Keywords
Nonlinear Dynamics; Correlation Dimension; Largest Lyapunov Exponent; Joint Motion;
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Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By SCOPUS : 0
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