TY - GEN
T1 - Optimization-based seated posture prediction considering contact with environment
AU - Howard, Brad
AU - Yang, Jingzhou
N1 - Funding Information:
This research was funded by a research initiation grant from the Society of Manufacturing Engineers, a Collaborative Linkage grant from NATO, and the Iowa Space Grant Consortium.
PY - 2011
Y1 - 2011
N2 - People can spend much of everyday completing seated tasks. Therefore it is important to understand postures needed to complete seated tasks, and the associated environmental contacts. This paper presents a method to predict seated postures and the general forces needed in order to support resulting postural configurations. This study uses optimization techniques to predict human posture based on a 56 degree of freedom (DOF) 50th percentile female human model. The support reaction forces (SRFs) are predicted using joint torques and the zero-moment point (ZMP) formulation derived from the Lagrangian recursive dynamics. The SRFs are applied at points on the body based on center of pressure (COP) locations gathered from pressure mapping experiments. The specific application points include the two feet, the two thighs, and back. Multiple seated orientations based on an experimental study found in published literature are simulated. When comparing these simulation results to the literature data, a good correlation can be established, which provides an initial validation of the proposed methods.
AB - People can spend much of everyday completing seated tasks. Therefore it is important to understand postures needed to complete seated tasks, and the associated environmental contacts. This paper presents a method to predict seated postures and the general forces needed in order to support resulting postural configurations. This study uses optimization techniques to predict human posture based on a 56 degree of freedom (DOF) 50th percentile female human model. The support reaction forces (SRFs) are predicted using joint torques and the zero-moment point (ZMP) formulation derived from the Lagrangian recursive dynamics. The SRFs are applied at points on the body based on center of pressure (COP) locations gathered from pressure mapping experiments. The specific application points include the two feet, the two thighs, and back. Multiple seated orientations based on an experimental study found in published literature are simulated. When comparing these simulation results to the literature data, a good correlation can be established, which provides an initial validation of the proposed methods.
KW - Multi-objective optimization
KW - Seated posture
KW - Support reaction forces
KW - Zero-moment point
UR - http://www.scopus.com/inward/record.url?scp=84863571838&partnerID=8YFLogxK
U2 - 10.1115/DETC2011-48685
DO - 10.1115/DETC2011-48685
M3 - Conference contribution
AN - SCOPUS:84863571838
SN - 9780791854792
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 557
EP - 566
BT - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
T2 - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
Y2 - 28 August 2011 through 31 August 2011
ER -