Florez, R.; Palomino-Quispe, F.; Alvarez, A.B.; Coaquira-Castillo, R.J.; Herrera-Levano, J.C.
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio. Sensors 2024, 24, 6261.
https://doi.org/10.3390/s24196261
AMA Style
Florez R, Palomino-Quispe F, Alvarez AB, Coaquira-Castillo RJ, Herrera-Levano JC.
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio. Sensors. 2024; 24(19):6261.
https://doi.org/10.3390/s24196261
Chicago/Turabian Style
Florez, Ruben, Facundo Palomino-Quispe, Ana Beatriz Alvarez, Roger Jesus Coaquira-Castillo, and Julio Cesar Herrera-Levano.
2024. "A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio" Sensors 24, no. 19: 6261.
https://doi.org/10.3390/s24196261
APA Style
Florez, R., Palomino-Quispe, F., Alvarez, A. B., Coaquira-Castillo, R. J., & Herrera-Levano, J. C.
(2024). A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio. Sensors, 24(19), 6261.
https://doi.org/10.3390/s24196261
