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1 Ergebnisse
1
Real Time Driver Fatigue Detection Based on Facial Behaviou..:
, In:
2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)
,
Dey, Sanjay
;
Chowdhury, Sami Ahbab
;
Sultana, Subrina
... - p. 135-140 , 2019
Link:
https://doi.org/10.1109/SPICSCON48833.2019.9065120
RT T1 <cTitle>2019 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)</cTitle>: T1 <Title>Real Time Driver Fatigue Detection Based on Facial Behaviour along with Machine Learning Approaches</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9065120&Exemplar=1&LAN=DE A1 Dey, Sanjay A1 Chowdhury, Sami Ahbab A1 Sultana, Subrina A1 Hossain, Md. Ali A1 Dey, Monisha A1 Das, Sajal K. YR 2019 K1 Fatigue K1 Ear K1 Feature extraction K1 Mouth K1 Vehicles K1 Adaptation models K1 Data models K1 Drowsiness Detection K1 HOG K1 Facial Features K1 Facial Landmark K1 Eye Aspect Ratio K1 Mouth Opening Ratio K1 Nose Length Ratio SP 135 OP 140 LK http://dx.doi.org/https://doi.org/10.1109/SPICSCON48833.2019.9065120 DO https://doi.org/10.1109/SPICSCON48833.2019.9065120 SF ELIB - SuUB Bremen
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