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 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Drowsiness prevention using a social robot Koki Hara, Atsushi Nakazawa (Kyoto Univ.), Ayumi Takemoto (Univ. of Latvia) |
In this paper, we show a potential to use a social robot to prevent participants from drowsiness and to keep them awaki... [more] |
|
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 |
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 (Joint) |
2017-03-14 14:35 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Discrimination of drowsiness level based on facial skin thermogram using CNN Hiroko Adachi, Kosuke Oiwa, Akio Nozawa (AGU) MBE2016-99 |
The relation between drowsiness and facial expression can be classified into five levels according to NEDO method which ... [more] |
MBE2016-99 pp.83-86 |
PRMU, IPSJ-CVIM, MVE [detail] |
2016-01-21 09:30 |
Osaka |
|
Influence of gaze feedback on arousal level in viewing a movie recorded by a car-mounted camera Shinichi Hikita (Osaka Electro-Communication Univ.), Hiroyuki Hoshino (Toyota CRDL) PRMU2015-116 MVE2015-38 |
We propose a new method for car drivers to help maintain alertness, which is based on a visual feedback of eye-gaze moti... [more] |
PRMU2015-116 MVE2015-38 pp.37-40 |
MBE, NC (Joint) |
2012-03-16 11:05 |
Tokyo |
Tamagawa University |
Real-Time Evaluation of Arousal Level Based on Saccadic Eye Movement on a Movie from a Car-Mounted View Tsuyoshi Itaoka, Shinichi Hikita, Takahiko Ono, Yasuhide Kobayashi, Mitsuyuki Saito (Hiroshima City Univ.) MBE2011-138 |
In order to evaluate arousal level in real-time, the characteristics of eyelid motion and saccadic eye movement while vi... [more] |
MBE2011-138 pp.167-170 |
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 |