This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2491) New Methods (963) Machine Learning (1501) Computer-Aided Diagnosis (135) Clinical Information and Decision Making (1434) Digital Health, Telehealth and e-Innovation in Clinical Settings (421)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55476, first published .
Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study

Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study

Recognition of Forward Head Posture Through 3D Human Pose Estimation With a Graph Convolutional Network: Development and Feasibility Study

Authors of this article:

Haedeun Lee1 Author Orcid Image ;   Bumjo Oh2, 3 Author Orcid Image ;   Seung-Chan Kim1 Author Orcid Image
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Haedeun Lee   1 * , MS ;   Bumjo Oh   2, 3 * , MD, MPH ;   Seung-Chan Kim   1 , PhD

1 Machine Learning Systems Laboratory, School of Sports Science, Sungkyunkwan University, Suwon, Gyunggi-do, Republic of Korea

2 Department of Family Medicine, SMG-SNU (Seoul Metropolitan Government - Seoul National University) Boramae Medical Center, Seoul, Republic of Korea

3 Department of Family Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Seung-Chan Kim, PhD
  • Machine Learning Systems Laboratory
  • School of Sports Science
  • Sungkyunkwan University
  • Seoburo 2066
  • Suwon, Gyunggi-do, 16419
  • Republic of Korea
  • Phone: 82 31-299-6918
  • Email: seungchan@ieee.org