Driver Drowsiness Detection Using Facial Parameters and RNNs with LSTM

INIS

• detection 100%
• neural networks 100%
• levels 33%
• units 33%
• comparative evaluations 33%
• data 33%
• concentration 33%
• organs 33%
• accuracy 33%
• processing 33%
• algorithms 33%
• mouth 33%
• fatigue 33%
• eyes 33%
• accidents 33%
• sleep 33%
• intermediate state 33%

Engineering

• Long Short-Term Memory 100%
• Recurrent Neural Network 100%
• Deep Neural Network 50%

Biochemistry, Genetics and Molecular Biology

• Short Term Memory 100%