Non-contact breathing rate estimation using machine learning with an optimized architecture

HIGHLIGHTS

• who: Jorge Brieva and collaborators from the Facultad de Ingenieru00eda, Universidad Panamericana, Augusto Rodin, Ciudad de Mu00e9xico, Mexico have published the article: Non-Contact Breathing Rate Estimation Using Machine Learning with an Optimized Architecture, in the Journal: Mathematics 2023, 11, 645. of /2023/
• what: The authors propose a new non-contact technique to estimate the breathing rate based on the motion video magnification method by means of the Hermite transform and an Artificial Hydrocarbon Network (AHN). This work aims to show that an AHN model can perform in a similar but cheaper way than CNN . . .
  

   

  

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