Nonparametric Identification of Time-Varying Human Joint Admittance

G. Cavallo (Corresponding Author), M. van de Ruit, A.C. Schouten, J.W. van Wingerden, J. Lataire

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In this study, a nonparametric method, developed in Lataire et al. (2012), is applied to the identification of linear time-varying human joint admittance. The aim of the method, denoted Skirt Decomposition method, is to reconstruct the time-varying system function. The main contribution of the paper is to evaluate the possibilities and limitations of the method for the identification of linear time-varying human joint admittance in simulation. The proposed method delivers an estimate of linear time-varying joint admittance from a single experimental trial, provided that a multisine is used as excitation signal. The trade-off between i) the frequency resolution of the dynamics, and ii) the allowable complexity of the time variation is explored.

Original languageEnglish
Pages (from-to)533-538
Number of pages6
Issue number15
Publication statusPublished - 1 Jan 2018
Externally publishedYes


  • Biomechanical system
  • Frequency domain
  • Linear time-varying systems
  • Non-parametric identification
  • System function


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