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 |