• DocumentCode
    3430559
  • Title

    Online estimation of multijoint human arm viscoelasticity for the case of unknown variance

  • Author

    Iseki, Keiko ; Deng, Mingcong ; Inoue, Akira ; Bu, Ni

  • Author_Institution
    Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    651
  • Lastpage
    654
  • Abstract
    In this paper, an online estimation method of multijoint human arm viscoelasticity for the case of unknown variance is considered. For the unknown variance process of a human multijoint arm, an estimation method of the human multijoint arm viscoelasticity is proposed. The proposed method includes two estimators, the first estimator is to calculate the variance, and the human multijoint arm viscoelasticity is obtained by the second estimator. The effectiveness of the proposed method is shown by the simulation results.
  • Keywords
    biomechanics; viscoelasticity; estimators; multijoint human arm viscoelasticity; online estimation; variance; Automatic control; Automation; Elasticity; Filters; Gaussian distribution; Humans; Muscles; Parameter estimation; Shape measurement; Viscosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410511
  • Filename
    5410511