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

Development of a Precision Exercise System for Older Adults and People With Stroke Using Deep Learning and Facial Action Units

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.

At baseline (Week 0), participants will undergo a personal health assessment and physical fitness evaluation. The health assessment includes the collection of demographic information, medical history, and general health status. The physical fitness assessment includes measurement of body composition, muscle strength, balance, flexibility, walking speed, and other relevant physical fitness measures.

Following the baseline assessment, the participants will undergo the exercise program based on an AIoT-based exercise system twice weekly for 12 weeks. blood pressure will assessed before each exercise for safety concern. At Week 13, participants will undergo the same evaluations conducted at baseline. In addition, a user experience questionnaire will be administered.

During the exercise sessions, exercise-related metrics, including workload, cadence (revolutions per minute, RPM), exercise duration, heart rate, and facial action units (AUs), will be continuously recorded in real time. Ratings of perceived exertion will also be collected at regular intervals throughout the exercise sessions.

Inclusion Criteria:

• 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

Exclusion Criteria:

• Limb disability or joint deformation
• History of cardiovascular disease
• Lost balance due to dizziness in the past 12 months
• Cognitive deficits