Predicting facial deformation during respiratory mask fitting with semi-supervised graph neural networks

Keyphrases

• 5-fold Cross Validation 33%
• Airborne Contaminants 33%
• Biomechanical Data 33%
• Contact Pressure 33%
• Deformation Distribution 33%
• Deformation Pressure 33%
• Deformation Zone 33%
• Facial Deformation 100%
• Facial Expression Dataset 33%
• Facial Geometry 33%
• Facial Pressure 33%
• Graph Neural Network 100%
• Graph Structure 33%
• Hertz Contact Theory 33%
• Industrial Applications 33%
• Industrial Environment 33%
• Inference Time 33%
• Limited Labeled Data 33%
• Mask Based 33%
• Mask Fit 100%
• Mask Model 33%
• Medical Applications 33%
• Medical Settings 33%
• Overfitting 33%
• PointNet++ 33%
• Precise Prediction 33%
• Pressure Distribution 33%
• Pressure Sore 33%
• Prolonged Use 33%
• Protection Efficiency 33%
• Random Forest 33%
• Respirator Mask 100%
• Robust Generalization 33%
• User Comfort 33%
• Variational Autoencoder 33%
• Wearing a Mask 33%
• XGBoost 33%
• Zoning Classification 33%

Computer Science

• Autoencoder 50%
• Extreme Gradient Boosting 50%
• Fold Cross Validation 50%
• Graph Neural Network 100%
• Industrial Application 50%
• Industrial Environment 50%
• Limited Labeled Data 50%
• Medical Application 50%
• Pressure Distribution 50%
• Random Decision Forest 50%