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 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
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
 Results 1 - 9 of 9  /   
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