Nonparametric identification of time-varying human joint admittance

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1 Citation (Scopus)


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
Issue number15
Publication statusPublished - 2018


  • biomechanical system
  • frequency domain
  • linear time-varying systems
  • non-parametric identification
  • system function

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