[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.05.061

Design of Personalized Exercise Data Collection System based on Edge Computing

Jung, Hyon-Chel (Wonju Medical Industry Techno Valley)
Choi, Duk-Kyu (Dept. of Avionics Engineering, Kyungwoon University)
Park, Myeong-Chul (Dept. of Avionics Engineering, Kyungwoon University)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.5, 2021 , pp. 61-68 More about this Journal

Abstract

In this paper, we propose an edge computing-based exercise data collection device that can be provided for exercise rehabilitation services. In the existing cloud computing method, when the number of users increases, the throughput of the data center increases, causing a lot of delay. In this paper, we design and implement a device that measures and estimates the position of keypoints of body joints for movement information collected by a 3D camera from the user's side using edge computing and transmits them to the server. This can build a seamless information collection environment without load on the cloud system. The results of this study can be utilized in a personalized rehabilitation exercise coaching system through IoT and edge computing technologies for various users who want exercise rehabilitation.

Keywords

Edge Computing; Motion Information; Pose Estimation; Rehabilitation Exercise Coaching System;

Citations & Related Records

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