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1 Ergebnisse
1
A non-intrusive multivariate analysis for monitoring inatte..:
, In:
2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)
,
Elassad, Dauha Elamrani Abou
;
Elassad, Zouhair Elamrani Abou
;
Meslouhi, Othmane El
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/WINCOM59760.2023.10322965
RT T1 <cTitle>2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)</cTitle>: T1 <Title>A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10322965&Exemplar=1&LAN=DE A1 Elassad, Dauha Elamrani Abou A1 Elassad, Zouhair Elamrani Abou A1 Meslouhi, Othmane El A1 Ameksa, Mohamed A1 Mousannif, Hajar A1 Mazoudi, El Houssine El YR 2023 SN 2769-9994 K1 Deep learning K1 Visualization K1 Wheels K1 Gaze tracking K1 Data models K1 Brakes K1 Biomedical monitoring K1 Inattention assessment K1 Hybrid system K1 Intelligent transportation systems K1 Simulator study SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/WINCOM59760.2023.10322965 DO https://doi.org/10.1109/WINCOM59760.2023.10322965 SF ELIB - SuUB Bremen
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