Musculoskeletal upper limb modeling with muscle activation for flexible body simulation

Seongyong Kim, Dong Min Kim, Soo Won Chae

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The use of digital human models has been increasing rapidly in various fields from medical to engineering applications. Most of the works on human models involving muscle activation have been concentrated on rigid body simulation so far, because the dynamics of human body motion has been primary concern regardless of the effects on human musculoskeletal body. Recently the need for flexible body simulation including muscle activation has been increasing for engineering applications. In this paper, a musculoskeletal model with muscle activation of an upper limb for the dynamic simulation of FE based flexible body is presented. In order to estimate the in vivo forces of muscles in motion, optimization technique is employed to solve multiple solutions problem. The simulated results were compared with the experimental data, EMG for validation. As a result it was found that muscle activation as part of musculoskeletal model can be employed for a FE based flexible body software.

Original languageEnglish
Pages (from-to)123-129
Number of pages7
JournalInternational Journal of Precision Engineering and Manufacturing
Volume10
Issue number4
DOIs
Publication statusPublished - 2009 Oct

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (No. 2009-0063176), and by a Korea University Grant.

Keywords

  • Flexible body simulation
  • Muscle activation
  • Static optimization
  • Upper limb modeling

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Musculoskeletal upper limb modeling with muscle activation for flexible body simulation'. Together they form a unique fingerprint.

Cite this