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Control model of human stance using fuzzy logic

R Jacobs1

  • 1Institute of Biomedical Technology (BMTI), University of Twente, Enschede, The Netherlands.

Biological Cybernetics
|July 1, 1997
PubMed
Summary

This study proposes a novel control model for human stance, focusing on global body variables like orientation and alignment. Fuzzy logic and multi-joint muscle actions effectively simulate natural human standing sway.

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Area of Science:

  • Biomechanics
  • Control Systems Engineering
  • Human Physiology

Background:

  • Existing human stance control models often rely on center of mass (COM) or single-joint (e.g., ankle) mechanics.
  • These models may not fully capture the complex, multi-joint coordination observed in human postural control.

Purpose of the Study:

  • To develop and validate a new control model for human stance.
  • To investigate the role of global body variables and fuzzy logic in simulating human postural control.

Main Methods:

  • A four-linked segment model (trunk, thigh, shank, foot) was employed.
  • Control was based on three parallel sets of global variables: limb length, limb orientation, and trunk attitude, along with their derivatives.
  • Fuzzy logic, implemented with 36 fuzzy if-then rules, was used to model muscle actions (torque actuators) at multiple joints.

Main Results:

  • The model successfully simulated human standing with sway around an equilibrium point.
  • The simulated sway characteristics closely matched experimental data from natural human stance.
  • The proposed controllers (limb length, limb orientation, trunk attitude) demonstrated effectiveness in managing self-induced perturbations.

Conclusions:

  • Global variables, rather than solely COM, are crucial for human stance control.
  • Fuzzy logic provides an effective framework for integrating physiological knowledge into biomechanical models.
  • The developed model offers a more comprehensive representation of human postural control mechanisms.

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