Résumé

In human walking, consecutive strides exhibit a fractal correlation structure. When gait is paced with a metronome, the structure changes to an anticorrelated one [1]. Detrended fluctuation analysis (DFA) is the classical method to highlight these structures from time series of stride intervals. DFA is restricted to lab applications. In ecological gait monitoring, we recently suggested that DFA could be favorably substituted by analyzing continuous acceleration signal with the attractor complexity index (ACI) method that consists in computing the long-term attractor divergence exponent (DE, maximal Lyapunov exponent, local dynamic stability LDS).

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