Feasibility study of inertial sensor-based joint moment estimation method during human movements: A test of multi-link modeling of the trunk segment

Takashi Watanabe, Jun Kodama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The conventional method of estimating joint moments needs kinematic data measured with a 3D optical motion measurement system and ground reaction forces measured with force plate. However, the conventional method is limited generally to laboratory use because of the required measurement systems. Therefore, we proposed a convenient method to estimate joint moments from measurements only with inertial sensors for application to clinical evaluation of motor function of paralyzed and elderly subjects. In this paper, multi-link modeling of the trunk was examined for reliable estimation of joint moments only from measured data with inertial sensors attached on the body. Body segment parameters (segment length and mass, center of mass location and moments of inertia) were calculated from anthropometric data. Experimental test with 3 healthy subjects showed that segmented trunk model estimated joint moments better than a rigid trunk model for squat and sit-to-stand movements. The estimation results were not different largely between the 5-link model that modeled the trunk by 3 segments and the 4-link model that modeled the trunk by 2 segments. However, trunk modeling for 4-link model was suggested to be appropriate when the upper and the middle trunk segments of the 5-link model were modeled as one segment.

Original languageEnglish
Title of host publicationBIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
EditorsJames Gilbert, Haim Azhari, Hesham Ali, Carla Quintao, Jan Sliwa, Carolina Ruiz, Ana Fred, Hugo Gamboa
PublisherSciTePress
Pages248-255
Number of pages8
ISBN (Electronic)9789897581700
DOIs
Publication statusPublished - 2016
Event9th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016 - Rome, Italy
Duration: 2016 Feb 212016 Feb 23

Publication series

NameBIOSIGNALS 2016 - 9th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016

Conference

Conference9th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2016 - Part of 9th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2016
Country/TerritoryItaly
CityRome
Period16/2/2116/2/23

Keywords

  • Inertial sensor
  • Joint moment
  • Rigid body link model
  • Trunk

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