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Comparison of the Statically Equivalent Serial Chain Center of Mass Estimation Method to OpenSim's Residual Reduction Algorithm

Wernet, Jack R
http://orcid.org/0000-0002-6170-6993
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1628009554478147

Abstract Details

2021, Master of Science (M.S.), University of Dayton, Mechanical Engineering.
Being able to determine a person’s center of mass (COM) location is very important and useful to many studies, but not easily calculated. COM is used in a variety of studies, especially those dealing with balance, as COM must be over the center of pressure (COP) for something to maintain balance in a static position. An open-source software called OpenSim has its own COM estimation built into its Residual Reduction Algorithm (RRA) and is widely used in the field of biomechanics. This study seeks to compare the accuracy of this estimation to a recently developed COM estimation method called the Statically Equivalent Serial Chain (SESC) estimation. This study uses data collected via motion capture and force plates to further validate the SESC method as well as compare its accuracy to that of the currently implemented RRA through motion capture and data processing in OpenSim and MATLAB. Motion capture data provided an accurate representation of subject kinematics used in both COM estimations, and force plate COP as the metric for comparison in the horizontal directions. For data collection, 1 PVC humanoid and 16 subjects between the ages of 18 and 50, stood in 40 static poses. The poses were initially processed through the motion capture software, Vicon Nexus, and then inverse kinematics, dynamics, and RRA in OpenSim. Finally, the SESC COM estimation was determined using this processed data through a custom MATLAB script, and the magnitude of the error in the horizontal plane of all subjects’ poses was analyzed. The SESC estimation proved to be significantly better than the OpenSim estimation using RRA through analysis of variance (ANOVA) testing, with an average error of 7.82 mm for SESC and 10.69 mm for RRA (p<0.0001, P=0.99). Additionally, the SESC error maintained its accuracy within this new experimental study, being below the maximum error of previous COM estimation studies. This study differs from other studies because of its more developed breakdown of the human body into vectors for SESC, allowing for more free moving joints, as well as a much larger set of collection data for analysis. This significant difference has proven that SESC is a worthwhile COM estimation to be used in biomechanical studies, and could viably be implement into a software like OpenSim as an improvement to its COM estimation.
Allison Kinney (Advisor)
Andrew Murray (Committee Member)
Megan Reissman (Committee Member)
37 p.
Biomechanics; Mechanical Engineering
Center of Mass; COM; Statically Equivalent Serial Chain; SESC; Residual Reduction Algorithm; RRA; Biomechanics; Motion Capture; OpenSim

Recommended Citations

Citations

  • Wernet, J. R. (2021). Comparison of the Statically Equivalent Serial Chain Center of Mass Estimation Method to OpenSim's Residual Reduction Algorithm [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1628009554478147

    APA Style (7th edition)

  • Wernet, Jack. Comparison of the Statically Equivalent Serial Chain Center of Mass Estimation Method to OpenSim's Residual Reduction Algorithm. 2021. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1628009554478147.

    MLA Style (8th edition)

  • Wernet, Jack. "Comparison of the Statically Equivalent Serial Chain Center of Mass Estimation Method to OpenSim's Residual Reduction Algorithm." Master's thesis, University of Dayton, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1628009554478147

    Chicago Manual of Style (17th edition)

dayton1628009554478147
364
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This open access ETD is published by University of Dayton and OhioLINK.