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Committee Date Time Place Paper Title / Authors Abstract Paper #
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2022-09-13
15:30		 Online Keio Univ. Yagami Campus (Hybrid)
(Primary: Online, Secondary: On-site)		 The efficient AI System for Rating Facial Expressions for the purpose of Predicting Drivers Sleepiness
Tomoya Kubo (Okayama Prefectural Univ. Graduate School), Kazutami Arimoto, Tomoyuki Yokogawa, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki Univ. of Medical Welfare), Kagehisa Kajiwara (MURAKAMI CORPORATION) LOIS2022-13 IE2022-35 EMM2022-41		 In a driver monitoring system, a 3D convolutional neural network (3D CNN) has been used as a neural network (NN) to eval... [more] LOIS2022-13 IE2022-35 EMM2022-41
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