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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

Leveraging this technological progress, we aim to propose a digital health care system designed to prevent chronic neck injuries by detecting FHP through advanced 3 D human pose estimation techniques. Our system initiates with a preprocessing stage in which a 2 D red, green, and blue (RGB) image is input and analyzed to infer the corresponding 3 D human poses via the Video Pose3 D algorithm [16].

Haedeun Lee, Bumjo Oh, Seung-Chan Kim

JMIR Form Res 2024;8:e55476