Development and validation of a deep learning-based algorithm for drowsiness detection in facial photographs

Drowsiness is a feeling of sleepiness before the sleep onset and has severe implications from a safety perspective for the individuals involved in industrial activities, mining, and driving. The state-of-the-art computer vision (CV) based drowsiness detection methods generally utilize multiple deep...

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Vydané v:	Multimedia tools and applications Ročník 81; číslo 15; s. 20425 - 20441
Hlavní autori:	Husain, Syed Sameed, Mir, Junaid, Anwar, Syed Muhammad, Rafique, Waqas, Ullah, Muhammad Obaid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2022 Springer Nature B.V
Predmet:	Accuracy Algorithms Artificial neural networks Behavior Computer Communication Networks Computer engineering Computer Science Computer vision Data Structures and Information Theory Datasets Deep learning Driver fatigue Electronic devices Fatigue Machine learning Methods Multimedia Multimedia Information Systems Neural networks Physiology Signal processing Sleep Sleepiness Special Purpose and Application-Based Systems Traffic accidents & safety Fatigue detection Parametric aggregation CNN Deep convolutional neural network Drowsiness detection
ISSN:	1380-7501, 1573-7721
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