A Study on the Effectiveness of Wel-Tech-based Motion Analyzer
A Study on the Effectiveness of Wel-Tech-based Motion Analyzer
노영희(Future Welfare Convergence Research Institute, Kangnam University); 길혜민(Future Welfare Convergence Research Institute, Kangnam University); 이현수(reemoving company corp); 이현진(removing company corp); 김연아(Kangnam Social Welfare Center); Chung-Man GUK(Kangnam Social Welfare Center)
12권 6호, 79~89쪽
초록
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.
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.
- 발행기관:
- 국제융합경영학회
- 분류:
- 경영학일반