Driver drowsiness detection system using hybrid approach of convolutional neural network and bidirectional long short term memory (CNN_BILSTM)

In today’s world driver drowsiness is a major reason for fatal accidents of on road vehicles. Developing an automated, real-time drowsiness detection system is essential to provide accurate and timely alerts to the driver. In the proposed system, hybrid approach of CNN (Convolutional Neural Network)...

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Veröffentlicht in:	Materials today : proceedings Jg. 45; S. 2897 - 2901
Hauptverfasser:	Rajamohana, S.P., Radhika, E.G., Priya, S., Sangeetha, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 2021
Schlagworte:	CNN and BiLSTM Euclidean algorithm Eye dataset Euclidean algorithm Eye dataset CNN and BiLSTM
ISSN:	2214-7853, 2214-7853
Online-Zugang:	Volltext
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