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A Lightweight Temporal Convolutional Network for Contactless SPPB-Aligned Functional Fall-Risk Stratification in Older Adults Using Monocular RGB Video.

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AI-Assisted Dynamic Postural Control Screening to Improve Functional Mobility in Older Adult Populations:

Kai-Chih Lin1, Rong-Jong Wai1, Hung-Yu Chang Chien2

  • 1Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da'an Dist., Taipei, 106335, Taiwan, 886 935636806, 886 227376367.

JMIR Aging
|December 2, 2025
PubMed
Summary

Artificial intelligence (AI) screening with adaptive training significantly improved functional mobility in older adults. This approach enhances balance, gait speed, and sit-to-stand performance, potentially reducing fall risks.

Keywords:
artificial Intelligencedynamic postural controlfall risk assessmentolder adult fall preventionolder adult mobility

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Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Falls are a leading cause of disability in older adults, necessitating early detection of functional decline.
  • Artificial intelligence (AI) offers potential for objective, real-time mobility screening and feedback.

Purpose of the Study:

  • To assess if AI-assisted dynamic postural control screening and adaptive training enhance functional mobility in older adults.
  • To evaluate the impact of AI-tailored interventions on balance, gait, and mobility performance.

Main Methods:

  • A quasi-experimental study involving 2005 older adults in Taiwan.
  • An experimental group received AI-assisted screening and adaptive exercises; a control group received standard care.
  • AI integrated skeletal tracking with the Short Physical Performance Battery (SPPB) for balance, gait speed, and sit-to-stand assessments.

Main Results:

  • The AI-assisted group showed significantly greater improvements in SPPB scores (Cohen d=0.45), gait speed (Cohen d=0.62), and sit-to-stand performance (Cohen d=0.39) compared to the control group.
  • Higher participation rates in the AI-assisted group correlated with better outcomes (η²=0.07-0.10).

Conclusions:

  • AI-assisted dynamic postural control screening combined with adaptive training substantially improves functional mobility, balance, and gait in older adults.
  • These functional improvements suggest potential for fall risk reduction, warranting further investigation in longitudinal studies.