A lightweight driver drowsiness detection system using 3dcnn with lstm

HIGHLIGHTS

  • who: Sara A. Alameen from the Department of Computer, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia have published the paper: A Lightweight Driver Drowsiness Detection System Using 3DCNN With LSTM, in the Journal: (JOURNAL)
  • what: The authors investigate how the training of the proposed model can be affected by changing the position of the batch normalization (BN) layers in the 3D-CNN units. The authors show that the position of the BN layers increases the convergence speed and reduces overfitting on one dataset but not the other. Since the main goals of real-life . . .

     

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