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The Effect of an AIoT-Based Smart Exercise System in Older Adults

NCT07779824 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2026-08-26

No results posted yet for this study

Summary

This clinical trial aims to evaluate the effectiveness of an artificial intelligence of things (AIoT)-based exercise system for seniors. Participants will undergo a 12-week AIoT-based cycle ergometer training program. Physical fitness and functional performance will be assessed at baseline and after completion of the intervention. Throughout the intervention, exercise-related data, including exercise duration, workload, heart rate, oxygen consumption, perceived exertion, and facial expressions, will be continuously and simultaneously collected for analysis.

Conditions

  • Exercise
  • Seniors

Interventions

DEVICE

AIoT-based cycle ergometer exercise system

AIoT-based cycle ergometer exercise system The system also continuously records exercise-related device data, personal physiological parameters, and facial action units in a structured and systematic manner.

Sponsors & Collaborators

  • National Cheng-Kung University Hospital

    collaborator OTHER

  • I-Shou University

    lead OTHER

Study Design

Allocation
NA
Purpose
OTHER
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-02-20
Primary Completion
2028-07-31
Completion
2028-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07779824 on ClinicalTrials.gov