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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.

Citation status

* References for papers published after 2022 are currently being built.