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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
16:35
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Towards Improving the Generalization Performance of a Face Texture Analysis AI System for Predicting Driver Drowsiness
Tomoya Kubo, Tomoyuki Yokogawa, Kazutami arimoto, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki University of Medical) SeMI2023-20
We are currently developing a Face Texture Analysis AI system that predicts driver drowsiness based on the overall impre... [more] SeMI2023-20
pp.94-98
MBE 2023-05-13
13:00
Nagano Shinshu University Estimation of Drowsiness While Driving Using Autonomic Nervous System-related Indicators Based on Photoplethysmogram
Shu Kanda, Makoto Abe (Shinshu Univ.) MBE2023-1
The occurrence of drowsiness while driving is a social problem because it causes accidents. Therefore, a method to asses... [more] MBE2023-1
pp.1-6
ITS, IEE-ITS 2019-03-04
14:35
Kyoto Kyoto Univ. Comparison between Driving Simulator and Actual Car as Train Data for Drowsiness Level Estimation
Mikuni Motoi, Haruki Kawanaka, Koji Oguri (Aichi Prefectual Unv.) ITS2018-90
As one of the studies of drowsiness estimation, estimation of drowsiness using only information of a drive recorder has ... [more] ITS2018-90
pp.35-39
CPM, ED, EID, SDM, ICD, MRIS, QIT, SCE, OME, EMD
(Joint) [detail]
2018-03-08
15:40
Shizuoka   Smart Steering Wheel with Swept Frequency Capacitive Sensing
Yutaro Ono, Soto Oki, Yuhei Morimoto, Reiji Hattori (Kyushu Univ.), Masayuki Watanabe, Nanae Michida, Hironobu Yonezawa, Daichi Sato, Kazuo Nishikawa (Mazda) EMD2017-76 MR2017-47 SCE2017-47 EID2017-49 ED2017-121 CPM2017-141 SDM2017-121 ICD2017-126 OME2017-70
We present a smart steering wheel that detects the gripping position and area, as well as the distance to the approachin... [more] EMD2017-76 MR2017-47 SCE2017-47 EID2017-49 ED2017-121 CPM2017-141 SDM2017-121 ICD2017-126 OME2017-70
pp.21-23
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
10:45
Hokkaido Hokkaido Univ. Estimation Algorithm Independent of Road Structure in Drowsiness Level Estimation from Event Data Recorder
Yuki Kaneko, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2017-64 IE2017-96
The studies of drowsiness level estimation are mainly used biomedical signals.
But it is not realistic from the point o... [more]
ITS2017-64 IE2017-96
pp.17-22
MBE, NC, NLP
(Joint)
2018-01-26
15:50
Fukuoka Kyushu Institute of Technology Drowsiness assessment by gazing/blinking parameter from EOG in driving simulator environment
Arthur Mourits Rumagit, Izzat Aulia Akbar, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2017-67
Many works related to drowsy driving have been conducted to prevent the traffic accident caused by drowsy driving. In th... [more] MBE2017-67
pp.7-11
MBE 2014-01-25
13:20
Saga Saga University Relationship between driving drowsiness and eye-blink -- Examination of parameter extraction from EOG --
Yuki Yae, Norihito Enmoto, Tomohiko Igasaki, Nobuki Murayama, Zhencheng Hu (Kumamoto Univ) MBE2013-111
It is widely known that many traffic accidents occur every year not only in Japan but also in the world. Drowsiness or s... [more] MBE2013-111
pp.85-88
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2011-02-21
16:25
Hokkaido Hokkaido University A study of Relations between Driver's Drowsiness and Respiration
Jun Ito, Koji Oguri (Aichi Prefectual Univ.) ITS2010-50 IE2010-125
In the recent years, traffic fatalities decreases, but the number of traffic fatalities has persisted high level. The ma... [more] ITS2010-50 IE2010-125
pp.153-158
MBE 2009-07-11
14:00
Tokushima The University of Tokushima Estimation of Drosiness Level Based on Eyelid Closure and Heart Rate Variability
Ayumi Tsuchida, Koji Oguri (Aichi Prefectural Univ.) MBE2009-31
In the recent years, the development of safety system technologies have contributed to reduce deaths
from traffic accid... [more]
MBE2009-31
pp.69-72
 Results 1 - 9 of 9  /   
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