Abstract

Purpose: TIn an aging society, maintaining the physical and mental health of middle-aged and older adults and enhancing their quality of life have become significant social challenges. This study aimed to explore the effectiveness, limitations, and areas for improvement of AI-based motion analyzers by providing a personalized exercise program to 21 individuals aged 50 and above who utilized the OO Comprehensive Social Welfare Center. Research design, data and methodology: Over six months, participants engaged in personalized exercise programs designed by the motion analyzer, and their results were analyzed. Results: The analysis revealed that AI-based motion analyzers hold promising potential as effective tools for improving the health of middle-aged and older adults. Conclusions: By collecting and quantitatively analyzing participants' exercise performance data in real time, motion analyzers were confirmed to possess practical potential for active application in health management and rehabilitation therapy processes.