TY - JOUR
T1 - On Laterally Perturbed Human Stance
T2 - Experiment, Model, and Control
AU - Suissa, Dan
AU - Günther, Michael
AU - Shapiro, Amir
AU - Melzer, Itshak
AU - Schmitt, Syn
N1 - Publisher Copyright:
© 2018 Dan Suissa et al.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Understanding human balance is a key issue in many research areas. One goal is to suggest analytical models for the human balance. Specifically, we are interested in the stability of a subject when a lateral perturbation is being applied. Therefore, we conducted an experiment, laterally perturbing five subjects on a mobile platform. We observed that the recorded motion is divided into two parts. The legs act together as a first, the head-arms-trunk segment as a second rigid body with pelvis, and the ankle as hinge joints. Hence, we suggest using a planar double-inverted pendulum model for the analysis. We try to reproduce the human reaction utilizing torque control, applied at the ankle and pelvis. The fitting was realized by least square and nonlinear unconstrained optimization on training sets. Our model is not only able to fit to the human reaction, but also to predict it on test sets. We were able to extract and review key features of balance, like torque coupling and delays as outcomes of the aforementioned optimization process. Furthermore, the delays are well within the ranges typically for such compensatory motions, composed of reflex and higher level motor control.
AB - Understanding human balance is a key issue in many research areas. One goal is to suggest analytical models for the human balance. Specifically, we are interested in the stability of a subject when a lateral perturbation is being applied. Therefore, we conducted an experiment, laterally perturbing five subjects on a mobile platform. We observed that the recorded motion is divided into two parts. The legs act together as a first, the head-arms-trunk segment as a second rigid body with pelvis, and the ankle as hinge joints. Hence, we suggest using a planar double-inverted pendulum model for the analysis. We try to reproduce the human reaction utilizing torque control, applied at the ankle and pelvis. The fitting was realized by least square and nonlinear unconstrained optimization on training sets. Our model is not only able to fit to the human reaction, but also to predict it on test sets. We were able to extract and review key features of balance, like torque coupling and delays as outcomes of the aforementioned optimization process. Furthermore, the delays are well within the ranges typically for such compensatory motions, composed of reflex and higher level motor control.
UR - http://www.scopus.com/inward/record.url?scp=85059104502&partnerID=8YFLogxK
U2 - 10.1155/2018/4767624
DO - 10.1155/2018/4767624
M3 - Article
C2 - 29853995
AN - SCOPUS:85059104502
SN - 1176-2322
VL - 2018
JO - Applied Bionics and Biomechanics
JF - Applied Bionics and Biomechanics
M1 - 4767624
ER -