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

Formative Evaluation of Digital Health Interventions (3229) New Methods (1134) Machine Learning (2076) Computer-Aided Diagnosis (251) Clinical Information and Decision Making (1915) Digital Health, Telehealth and e-Innovation in Clinical Settings (556)

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
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Torun C, Karacı A. Derin Öğrenmeye Dayalı 2 Boyutlu İnsan Poz Tahmin Modellerinin Karşılaştırılması. Sürdürülebilir Mühendislik Uygulamaları ve Teknolojik Gelişmeler Dergisi 2024;7(2):185 View
  2. Song X, Li Z, Song Y, Shah M, Zhang X, Li C, Gilmore C, Jiang W, Sui H. The short-term effects of spiral stabilization on human posture correction. BMC Sports Science, Medicine and Rehabilitation 2025;17(1) View
  3. Zheng B, Zhang Q, Gao J, Liu S, Chen L, Wang K. Innovative Protocol for Consistent Facial Photography in Aesthetic Surgery: A Cost-Effective Solution. Aesthetic Surgery Journal Open Forum 2025;7 View

Conference Proceedings

  1. Yin G. 2025 IEEE 3rd International Conference on Image Processing and Computer Applications (ICIPCA). Video-based Motion Capture Algorithms and Simulation Experiments View