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A Training System for Human Standing Stability Using Virtual Viscosity Fields.

Hayato Mikami1, Keisuke Shima1,2, Tianyi Wang2

  • 1Graduate School of Environment and Information Sciences, Yokohama National University, Yokohama 240-8501, Japan.

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|March 28, 2026
PubMed
Summary
This summary is machine-generated.

Personalized training using individual limits of stability (LOS) enhances standing balance. This system helps prevent falls in aging populations by adapting to unique balance strategies like sway reduction or LOS expansion.

Keywords:
fall preventionlimits of stability (LOS)postural stability training

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Area of Science:

  • Biomechanics and Human Movement Science
  • Gerontology and Aging Studies
  • Rehabilitation Engineering

Background:

  • Postural stability is crucial for fall prevention, especially with global demographic aging.
  • Existing balance training methods may not cater to individual physiological differences.

Purpose of the Study:

  • To develop and evaluate a personalized training system for enhancing standing postural stability.
  • To investigate the system's effectiveness based on individual limits of stability (LOS).

Main Methods:

  • A system was designed to evaluate LOS in eight directions using center-of-mass (COM) and center-of-pressure (COP) data.
  • Game-based feedback was provided, with individualized loading based on proximity to the subject's LOS.
  • Experiments involved 32 younger and 19 mature adults measuring postural stability index (IPS), LOS area, and COP sway.

Main Results:

  • Two distinct response patterns to the training were observed: LOS expansion and sway reduction.
  • These patterns were present in both younger and mature adult cohorts.
  • The individualized LOS-based training demonstrated potential for improving standing stability.

Conclusions:

  • Individualized LOS-based training is a viable strategy for enhancing standing postural stability.
  • The training promotes balance through at least two distinct physiological response patterns.
  • This approach holds promise for fall prevention strategies in aging populations.