@inproceedings{78e4e145b6a246da8659121fe43e182c,
title = "Particle filter-based viscoelasticity estimation of human multi-joint arm",
abstract = "The human arm performs a variety of skillful movements by adjusting dynamic characteristics of musculoskeletal system. Such characteristics of musculoskeletal system can be mainly described as viscoelasticity of human multi-joint arm. Many areas require knowledge of viscoelasticity of human multi-joint arm. Therefore, measuring viscoelasticity of human multijoint arm is essential. In this paper, an estimating method of multi-joint viscoelasticity of human arm based on particle filter is proposed. To decrease the estimation error of viscoelasticity of human multi-joint arm, the variance of non-Gaussian distribution is estimated using particle filter algorithm, the viscoelasticity of human multi-joint arm can be estimated in some cases. The effectiveness of the proposed method is confirmed by the simulation and experimental results.",
keywords = "Human multi-joint arm, Non-Gaussian noise, Particle filter, Variance estimation, Viscoelasticity",
author = "Mingcong Deng and Yoshitaka Teramura and Aihui Wang and Akira Yanou",
year = "2011",
doi = "10.3182/20110828-6-IT-1002.01897",
language = "English",
isbn = "9783902661937",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1 PART 1",
pages = "14312--14317",
booktitle = "Proceedings of the 18th IFAC World Congress",
address = "Austria",
edition = "1 PART 1",
}