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Face anthropometry for filtering facepiece respirators: analysis of the association between facial dimensions and respirator fit.

Minji YuLinsey GriffinWilliam K DurfeeSusan F Arnold
Published in: Annals of work exposures and health (2024)
The findings showed that the FFR fit association model enables an understanding of the detailed association between face and respirator fit and allows for the development of a system to predict respirator fit success or failure based on facial dimensions. Future research would include testing the validity of the model and FFR-specific measurement set on different respirator types, expanding the population set, and developing an integrated approach using automated and machine learning technologies to inform FFR selection for occupation workers and the general population.
Keyphrases
  • machine learning
  • soft tissue
  • artificial intelligence
  • high throughput
  • current status
  • big data
  • single cell