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The Effect of an AIoT-Based Smart Exercise System in Older Adults
Sponsor: I-Shou University
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.
Official title: Development of a Precision Exercise System for Older Adults and People With Stroke Using Deep Learning and Facial Action Units
Key Details
Gender
All
Age Range
50 Years - Any
Study Type
INTERVENTIONAL
Enrollment
200
Start Date
2026-02-20
Completion Date
2028-07-31
Last Updated
2026-08-26
Healthy Volunteers
No
Interventions
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.
Locations (1)
I-Shou University
Kaohsiung City, Taiwan