Development of a Precision Exercise System for Older Adults and People With Stroke Using Deep Learning and Facial Action Units
Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Interventional
Study Phase: Not Applicable
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 50
Healthy Volunteers: f
View:
• Adult over 50 years old
• No significant limb disability or joint deformation
• No history of cardiovascular disease
• Never lost balance due to dizziness in the past 12 months
Locations
Other Locations
Taiwan
I-Shou University
RECRUITING
Kaohsiung City
Contact Information
Primary
Chih-Chun Lin
chihchunlin@isu.edu.tw
+886-76151100 Ext. 7566
Backup
Chien-Yu Hsu
sophia992104@isu.edu.tw
+886-76151100 Ext. 7597
Time Frame
Start Date: 2026-02-20
Estimated Completion Date: 2028-07-31
Participants
Target number of participants: 200
Treatments
Experimental: AIoT-based Exercise
Seniors participants will undergo a 12-week AIoT-based cycle ergometer exercise program.
Related Therapeutic Areas
Sponsors
Leads: I-Shou University
Collaborators: National Cheng-Kung University Hospital