Development of Converged Device-Based Exercise Program for Preventing Fall and Increasing Physical Activity for the Elderly

Keywords: Converged device-based, the frail elderly, fall, interface

Abstract

As the effects of COVID-19, many changes are occurring in the daily life. Breaking away from the temporal and spatial restrictions, the exercise method utilizing converged device in non-contact fashion is emerging. In the present study, home training with utilization of the converged device for fall prevention and improvement of daily life in behalf of the frail elderly has been composed, and execution process designed. Converged device-based exercise program extracted through Delphi analysis is composed of essential 8 types of motion reflecting the performance capability of the frail elderly as the subject, though easy, have been selected. Converged device-based exercise program configured the system in a structure of subject, interface, and administrator for the purpose of utilizing this exercise program. Overall execution process is composed 3 stages, and implemented with the elderly and the trainer being converged via medium. For the overall implementation, the elderly performs the exercise program under leading of the trainer as the administrator. Depending on the condition of the elderly as the subject, the trainer selects the difficulty of exercise, which the elderly performs and implements the exercise program while communicating with the trainer. The converged device-based exercise program that is applicable to the elderly as a digitally vulnerable class is expected to bring about not only fall prevention and increased physical activities but also subsidiary effects of producing digital device-friendly environments for the elderly as a digitally vulnerable class.

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Author Biography

Sunyoung Kang, Department of Physical Education, Korea University, Seoul, Korea

Sunyoung Kang received her Ph.D. degree in the department of physical education from Korea University, Seoul, Korea, in 2005. Her research interests include sports science, exercise prescription, wellness IT, and rehabilitation engineering.

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Published
2021-02-18
Section
Data Science and Artificial Intelligence: Architecture, Use Cases, and Challenge