[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2022.27.12.093

Implementation of Personalized Rehabilitation Exercise Mobile App based on Edge Computing

Park, Myeong-Chul (Dept. of Avionics Engineering, Kyungwoon University)
Hur, Hwa-La (Dept. of Aeronautical Software Engineering, Kyungwoon University)

Publication Information

Journal of the Korea Society of Computer and Information / v.27, no.12, 2022 , pp. 93-100 More about this Journal

Abstract

In this paper, we propose a mobile app for personalized rehabilitation exercise coaching and management service using an edge computing-based personalized exercise information collection system. The existing management method that relies on user input information has difficulty in examining the actual possibility of rehabilitation. In this paper, we implement an application that collects movement information along with body joint information through image information analysis based on edge computing at a remote location, measures the time and accuracy of the movement, and provides rehabilitation progress through correct posture information. In addition, in connection with the measurement equipment of the rehabilitation center, the health status can be managed, and the accuracy of exercise information and trend analysis information is provided. The results of this study will enable management and coaching according to self-rehabilitation exercises in a contactless environment.

Keywords

Edge Computing; Rehabilitation Exercise Coaching System; Posture Estimation; Mobile App; Healthcare;

Citations & Related Records

Times Cited By KSCI : 4 (Citation Analysis)

Reference
Cited By KSCI

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