Smart sensors and AI aim to keep seniors on their feet

NCT ID NCT06596993

Recruiting now Prevention Sponsor: National Taiwan University Hospital Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests a balance training system that uses wearable sensors and artificial intelligence to create personalized exercise programs for older adults. The goal is to improve stability and reduce fall risk. Researchers will enroll 120 community-dwelling adults aged 18 to 80 who can walk independently.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: IMU-based balance training with AI personalization
What this could lead to: If successful, this could provide an effective, personalized way to improve balance and prevent falls in older adults.
What could go wrong: This is a small, early-stage study without a control group for comparison. The technology may not work better than standard exercise, and results may not apply to everyone.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

COMMUNITY-DWELLING OLDER ADULTS

Contacts and locations

Locations

National Taiwan University, College of Medicine, School and Graduate Institute of Physical Therapy
RECRUITING

Taipei, 100, Taiwan

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