Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization

Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of exercises performed as a part of physical rehabilitation. Recent data-driven methods have explored using deep learning on 3D body-landmark sequences for automatic assessment of physical rehabilitation exercises. However, existing deep learning methods using convolutional neural networks (CNN) fail ...