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Updated: Mar 25, 2026

Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
A stricter condition for standing balance after unexpected perturbations
1Centre for Human Movement Sciences, University of Groningen, The Netherlands; Centre for Rehabilitation, University Medical Centre Groningen, The Netherlands.
The extrapolated centre of mass (XcoM) law for standing balance is refined to include the Centre of Pressure (CoP) reaction time. This reveals the effective base of support is only 30% of the static base of support during perturbations.
Area of Science:
- Biomechanics
- Human postural control
- Robotics
Background:
- The extrapolated centre of mass (XcoM) is a key concept for understanding dynamic balance.
- Current balance laws do not account for neural and mechanical delays in Centre of Pressure (CoP) displacement.
- Understanding these delays is crucial for accurate balance assessment.
Purpose of the Study:
- To extend the XcoM theory of standing balance by incorporating the finite reaction and displacement time of the CoP.
- To investigate the effective Base of Support (BoS) under dynamic postural perturbations.
- To analyze human postural control during sudden disturbances.
Main Methods:
- Theoretical extension of the XcoM balance law to include CoP dynamics.
- Experimental study involving human subjects standing on two feet.
- Application of sudden postural perturbations to elicit balance responses.
Main Results:
- The study demonstrates that the effective Base of Support (BoS) is significantly smaller than the static BoS.
- Experimental results show the effective BoS area is approximately 30% of the static BoS area.
- The finite reaction time of the CoP plays a critical role in determining the effective BoS.
Conclusions:
- The refined balance law, accounting for CoP delays, provides a more accurate model of dynamic standing balance.
- The effective BoS is a dynamic entity, reduced by neural and mechanical constraints.
- These findings have implications for understanding human stability and designing more stable robotic systems.
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