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
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;
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
DOI :
10.1109/ICCA.2009.5410511
