Model Complexity Reduction of the Hand Musculoskeletal System in Tremulous Motion

Autor:	Shee Cheng Yap, Ruwadi Ruwadi, Ang Wei Tech, Philippe Poignet
Rok vydání:	2010
Předmět:	Computer Science::Robotics Reduction (complexity) Engineering Sequence Signal processing business.industry Simple (abstract algebra) Control theory Key (cryptography) Motion control business Motion (physics) Zero (linguistics)
Zdroj:	Intelligent Robotics and Applications ISBN: 9783642165863 ICIRA (2)
DOI:	10.1007/978-3-642-16587-0_40
Popis:	Musculoskeletal modeling is an important step in understanding the behavior of a body part for postural and motion control. A simple but reliable model is preferred over more complex models. Most of the musculoskeletal models that have been developed so far involved a number of parameters that sometimes, some of the parameters are not easily identified or require difficult or expensive procedures. In this paper, a simplification strategy of the musculoskeletal model in 1 degree of freedom (DOF) hand tremulous motion is presented. The key idea of the complexity reduction mainly on the combination of the two inputs into single input using a sequence of signal processing. 3 models (first order, second order and second order with one zero) plus time delay are considered to represent the simplified musculoskeletal model. The best fit was represented by a second order plus time delay and one zero.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f1b573900c65cd5d2070bd0f5f349c4c https://doi.org/10.1007/978-3-642-16587-0_40 Zobrazit plný text záznamu