Design of Personalized Exercise Data Collection System based on Edge Computing (엣지 컴퓨팅 기반의 개인 맞춤형 운동 데이터 수집 시스템 설계)

Hyon-Chel Jung (정현철); Choi Duk Kyu (최덕규); Myeong-Chul Park (박명철)

doi:10.9708/jksci.2021.26.05.061

Design of Personalized Exercise Data Collection System based on Edge Computing

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(5), pp.61-68
DOI : 10.9708/jksci.2021.26.05.061
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : April 20, 2021
Accepted : May 17, 2021
Published : May 31, 2021

Hyon-Chel Jung ¹, Choi Duk Kyu ², Myeong-Chul Park ²

¹원주의료기기 테크노밸리
²경운대학교

Accredited

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

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* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design of Personalized Exercise Data Collection System based on Edge Computing

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design of Personalized Exercise Data Collection System based on Edge Computing

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.