A mechanism for sensory re-weighting in postural control
Related Experiment Video
Updated: Jun 24, 2026

Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
Arash Mahboobin1, Patrick Loughlin, Chris Atkeson
1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA. arm19@pitt.edu
Abstract:
A key finding of human balance experiments has been that the integration of sensory information utilized for postural control appears to be dynamically regulated to adapt to changing environmental conditions and the available sensory information, a process referred to as "sensory re-weighting." We propose a postural control model that includes automatic sensory re-weighting. This model is an adaptation of a previously reported model of sensory feedback that included manual sensory re-weighting. The new model achieves sensory re-weighting that is physiologically plausible and readily implemented. Model simulations are compared to previously reported experimental results to demonstrate the automated sensory re-weighting strategy of the modified model. On the whole, the postural sway time series generated by the model with automatic sensory re-weighting show good agreement with experimental data, and are capable of producing patterns similar to those observed experimentally.
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