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1 Ergebnisse
1
Enhancing the Generalization Performance of Drowsiness Esti..:
, In:
2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter)
,
Kubo, Tomoya
;
Yokogawa, Tomoyuki
;
Arimoto, Kazutami
.. - p. 165-170 , 2023
Link:
https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.0003
RT T1 <cTitle>2023 15th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter)</cTitle>: T1 <Title>Enhancing the Generalization Performance of Drowsiness Estimation AI in Drivers Using Time-Series Data from FAUs with Limited Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10488293&Exemplar=1&LAN=DE A1 Kubo, Tomoya A1 Yokogawa, Tomoyuki A1 Arimoto, Kazutami A1 Hokari, Masaki A1 Kayano, Isao YR 2023 K1 Estimation K1 Logic gates K1 Feature extraction K1 Convolutional neural networks K1 Artificial intelligence K1 Informatics K1 Monitoring K1 Driver Drowsiness Detection K1 Drowsiness Level Estimation K1 Facial Expression Estimation K1 Facial Action Units K1 Driver Monitoring K1 Advanced Driver-Assistance Systems(ADAS) K1 Neural Network K1 Generalization Performance SP 165 OP 170 LK http://dx.doi.org/https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00039 DO https://doi.org/10.1109/IIAI-AAI-Winter61682.2023.00039 SF ELIB - SuUB Bremen
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