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Updated: May 31, 2026

Experimental Methods to Study Human Postural Control

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

A structurally optimal control model for predicting and analyzing human postural coordination.

Vincent Bonnet¹, Sofiane Ramdani, Philippe Fraisse

¹LIRMM UMR 5506 CNRS, Montpellier 2 University, 161 rue Ada, Montpellier 34392, France. vincent.bonnet@lirmm.fr

Journal of Biomechanics

|June 25, 2011

Summary

This summary is machine-generated.

This study introduces a new control model for predicting postural coordination shifts during standing. The model accurately forecasts in-phase and anti-phase coordination using body dynamics and balance constraints.

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Last Updated: May 31, 2026

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Published on: September 11, 2019

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Published on: August 30, 2016

Area of Science:

Biomechanics
Robotics
Control Theory

Background:

Postural coordination is essential for balance.
Existing models often use joint-space control.
Understanding transitions between coordination modes is crucial.

Purpose of the Study:

To propose a novel closed-loop optimal control model for postural coordination.
To predict shifts between in-phase and anti-phase coordination.
To evaluate the impact of body dynamics and balance constraints.

Main Methods:

Developed a closed-loop optimal control model.
Employed a head-space controller minimizing joint torque norm.
Incorporated adaptive ankle torque saturation for balance constraints.

Main Results:

The model successfully predicted transitions between in-phase and anti-phase coordination.
Simulations revealed non-linear transient dynamics.
Demonstrated the influence of body dynamics and balance constraints.

Conclusions:

The proposed model offers a new approach to understanding postural control.
It accurately captures complex coordination dynamics.
Provides insights into human and robotic balance strategies.