Using machine learning techniques to characterize sleep-deprived driving behavior

H. E. C. van der Walla Centre for Human Drug Research, Leiden, the Netherlands;b Leiden Academic Centre for Drug Research, Leiden, the NetherlandsCorrespondence[email protected]

R. J. Dolla Centre for Human Drug Research, Leiden, the Netherlands

G. J. P. van Westenb Leiden Academic Centre for Drug Research, Leiden, the Netherlands

I. Koopmansa Centre for Human Drug Research, Leiden, the Netherlands;c Leiden University Medical Center, Leiden, the Netherlands

R. G. Zuikera Centre for Human Drug Research, Leiden, the Netherlands

J. Burggraafa Centre for Human Drug Research, Leiden, the Netherlands;b Leiden Academic Centre for Drug Research, Leiden, the Netherlands;c Leiden University Medical Center, Leiden, the Netherlands

A. F. Cohena Centre for Human Drug Research, Leiden, the Netherlands;b Leiden Academic Centre for Drug Research, Leiden, the Netherlands;c Leiden University Medical Center, Leiden, the Netherlands

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Papangkorn Inkeaw, Pimwarat Srikummoon, Jeerayut Chaijaruwanich, Patrinee Traisathit, Suphakit Awiphan, Juthamas Inchai, Ratirat Worasuthaneewan & Theerakorn Theerakittikul. (2022) Automatic Driver Drowsiness Detection Using Artificial Neural Network Based on Visual Facial Descriptors: Pilot Study. Nature and Science of Sleep 14, pages 1641-1649.
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