Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram

Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram

Abstract Detecting drowsiness in drivers while driving is extremely important to avoid possible accidents and reduce the fatality rate due to drivers sleeping at the wheel. A real‐time alert generation when the driver might possibly go into sleepy state is essential to safeguard any unwarranted inci...

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Bibliographic Details
Main Authors: Venkata Phanikrishna Balam, Venkata Udaya Sameer, Suchismitha Chinara
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:IET Intelligent Transport Systems
Subjects:
Electrical activity in neurophysiological processes
Signal processing and detection
Bioelectric signals
Digital signal processing
Computer vision and image processing techniques
Traffic engineering computing
Online Access:https://doi.org/10.1049/itr2.12041

Internet

https://doi.org/10.1049/itr2.12041

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