Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS, MSS |
2024-01-18 11:05 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data Yutaro Nakagama, Daisuke Ishii (JAIST), Kazuki Yoshizoe (Kyushu Univ.) MSS2023-63 SS2023-42 |
Driver drowsiness detection (DDD) systems are being developed to prevent accidents caused by the distraction of automobi... [more] |
MSS2023-63 SS2023-42 pp.64-69 |
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 |
MBE |
2022-05-13 13:30 |
Online |
Online |
Development of a Simulator for Evaluation Driver Drowsiness during Automated Driving Satsuki Moriyama, Takashi Imamura, Yutaka Nakajima, Shigehito Tanahashi (Niigata Univ.) MBE2022-1 |
In recent years, automated driving technology has been developed, which is expected to provide many benefits such as red... [more] |
MBE2022-1 pp.1-5 |
MBE, NC (Joint) |
2022-03-03 10:20 |
Online |
Online |
Proposal of drowsiness detection from multimodal biosignals using t-SNE Takumi Nomura, Shin'ichiro Kanoh (SIT) MBE2021-94 |
The method to detect drowsiness from electroencephalogram (EEG), electrocardiogram (ECG), and electroretinogram (EOG) wh... [more] |
MBE2021-94 pp.31-34 |
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] |
|
MBE |
2019-07-20 11:20 |
Tokushima |
|
Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2019-21 |
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve... [more] |
MBE2019-21 pp.13-18 |
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, 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 |
MBE, NC (Joint) |
2017-03-14 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Development of feedback system for heat diffusion control Wataru Takaoka, Shizuka Bando, Kosuke Oiwa (AGU), Hirotoshi Asano (Kagawa Univ.), Akio Nozawa (AGU) MBE2016-100 |
The objective of this study was to develop a biofeedback system for drowsiness prevention. Drowsiness is related to hea... [more] |
MBE2016-100 pp.87-90 |
MBE |
2017-01-28 13:00 |
Fukuoka |
Kyushu University |
Drowsiness evaluation using gazing time information under driving simulator environment Mitaku Utsunomiya, Arthur Mourits Rumagit, Izzat Aulia Akbar, Tomohiko Igasaki (Kumamoto Univ) MBE2016-78 |
According to the several studies, it was shown that the majority of traffic accidents were caused by dozing driving. In ... [more] |
MBE2016-78 pp.47-51 |
EST |
2016-09-09 14:45 |
Okinawa |
Ishigakishi-Shoko-Kaikan |
Dependence of the cardiac action potential on the human body structure in the driver drowsiness detection system Shunsuke Ishizuka, Kengo Sugahara, Shima Okada (Kinki Univ) EST2016-55 |
We are now focusing on developing a driver drowsiness detection system with the cardiac action potentials on the human b... [more] |
EST2016-55 pp.283-288 |
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 |
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 |
SSS |
2013-09-26 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
[Invited Talk]
Preventing commercial vehicle accident caused by driver fatigue. Kazuya Suzuki (ISL) SSS2013-19 |
Issues concerning preventing accidents caused by driver fatigue are discusses.
1) Current status in Japan and its backg... [more] |
SSS2013-19 pp.19-22 |
SSS |
2012-05-24 13:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Mutual Relationships between Effects of Driver Drowsiness on Physiological indices, Driving Performances, and Subjective Evaluations Ryo Ishikawa, Makoto Itoh, Toshiyuki Inagaki (Univ. of Tsukuba) SSS2012-2 |
Despite enormous efforts of research on the detection of drowsy driving, no single method dominates the others. All of t... [more] |
SSS2012-2 pp.7-12 |
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 |