• DocumentCode
    1775507
  • Title

    An approach to observability analysis and estimation of human arm model

  • Author

    Babiarz, Artur ; Klamka, Jerzy ; Zawiski, Radoslaw ; Niezabitowski, Michal

  • Author_Institution
    Inst. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    947
  • Lastpage
    952
  • Abstract
    This article presents the analysis of a mathematical model of human arm´s dynamics in terms of observability. The research is conducted in search of an observer which gives the possibility of arm tracking. The arm´s model is based on a two-link manipulator able to move in horizontal and vertical planes. Model is analyzed after linearization and omittance of muscles representing part. The experimental part involves simulation of the motion parameters and real IMU measurements. Finally, simulation results concerning the use of observer in the form of Kalman and particle filters are presented.
  • Keywords
    Kalman filters; biomechanics; manipulator dynamics; motion control; observability; particle filtering (numerical methods); Kalman filters; arm tracking; human arm dynamics; human arm model estimation; linearization; mathematical model; motion parameters; muscle representing part omittance; observability analysis; particle filters; real IMU measurements; two-link manipulator; Angular velocity; Atmospheric measurements; Equations; Kalman filters; Mathematical model; Particle filters; Particle measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6871049
  • Filename
    6871049