Muscle synergy analysis of human standing-up motion using forward dynamic simulation with four body segment model

Qi An, Yuki Ishikawa, Tetsuro Funato, Shinya Aoi, Hiroyuki Oka, Hiroshi Yamakawa, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Human motor behavior can be generated by distributed system. In this study, human standing-up motion is focused as an important daily activity. Especially, 13 muscle activation of lower body and trunk measured during human standing-up motion is decomposed into small numbers of modules of synchronized muscle activation called muscle synergy. Moreover human musculoskeletal model is developed with four rigid body segments based on dynamics and anatomical characteristics of human body. Forward dynamic simulation with the developed model showed that four muscle synergies had their own contribution toward body function: bending forward, moving the center of mass forward, extending whole body, and decelerating the center of mass. Results also indicated that combinations of four modules of synchronized muscle activation could generate human standing-up motion rather than controlling individual muscles.

Original languageEnglish
Title of host publicationDistributed Autonomous Robotic Systems - The 12th International Symposium
EditorsYoung-Jo Cho, Nak-Young Chong
PublisherSpringer Verlag
Pages459-471
Number of pages13
ISBN (Print)9784431558774
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014 - Daejeon, Korea, Republic of
Duration: Nov 2 2014Nov 5 2014

Publication series

NameSpringer Tracts in Advanced Robotics
Volume112
ISSN (Print)1610-7438
ISSN (Electronic)1610-742X

Conference

Conference12th International Symposium on Distributed Autonomous Robotic Systems, DARS 2014
CountryKorea, Republic of
CityDaejeon
Period11/2/1411/5/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Artificial Intelligence

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