Classification of facial paralysis based on machine learning techniques

HIGHLIGHTS

• who: Amira Gaber from the of Engineering have published the paper: Classification of facial paralysis based on machine learning techniques, in the Journal: (JOURNAL)
• what: The study shows that FAUs acquired by the Kinect sensor can be used in classifying FP. An approach was proposed to assess and classify the FP stage based on the analysis of facial skin perfusion from the facial blood flow image .
• how: This paper describes the development and testing of the FP classification phase. The results showed that the classifier is robust stable and performs well for different . . .
  

   

  

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