Comparison of eye and face features on drowsiness analysis

HIGHLIGHTS

• who: I-Hsi Kao and Ching-Yao Chan from the California Partners for Advanced Transportation Technology, University of California, Berkeley, CA, USA have published the paper: Comparison of Eye and Face Features on Drowsiness Analysis, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: This work analyzes the attentions of individual neurons in the learning model to understand how neural networks interpret drowsiness. This work proposed a feature analysis method K-nearest neighbors Sigma (KNN-Sigma) to estimate the homogeneous concentration and heterogeneous separation of the extracted features. In , an ensemble . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.