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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 39  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HI, VRPSY, JSKE 2023-11-10
13:05
Wakayama Wakayama Big-ai, Room 801 Assessment of brain activity in an attention control task related to iconic memory
Yosuke Morikawa, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.)
In this study, we investigated the possibility of monitoring attentional function using an assessment method based on fN... [more] HI2023-15
pp.1-4
3DMT 2023-10-03
16:20
Aichi
(Primary: On-site, Secondary: Online)
Effect of attention shift with head movement on optokinetic nystagmus and pupillary response
Tetsuro Kamiyama, Mie Satou, Kei Kanari (Utsunomiya Univ.)
The pupil changes not only by the luminance at the eye position but also by that at the attended location. Similarly, op... [more] 3DMT2023-54
pp.64-67
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] 2023-02-22
13:15
Hokkaido Hokkaido Univ. Semantic-Consistent Style Transfer with Visual Transformers
Jianbo Wang (UTokyo), Huan Yang, Jianlong Fu (MSR), Toshihiko Yamasaki (UTokyo), Baining Guo (MSR)
Image style transfer has drawn increasing attention recently. This task takes a content image and a style image as input... [more]
ME 2023-02-04
09:45
Online online Optokinetic nystagmus and pupillary responses in attention shift with head movement
Tetsuro Kamiyama, Mie Sato, Kei Kanari (Utsunomiya Univ.)
(To be available after the conference date) [more] ME2023-1
pp.1-4
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-27
15:40
Online on line A method for estimating brain regions contributing to sustained attention from fNIRS signals
Junpei Kubo, Kazuki Tsuji, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.)
This study aims to develop a neurorehabilitation method for attention function. We proposed estimating the responsible a... [more] HI2022-5
pp.45-50
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-21
15:50
Online online Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.)
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more]
HI 2021-03-05
11:10
Online   Estimation of brain regions contributing to maintain focal attention based on fNIRS measurements
Tomoki Matsumoto, Jyunpei Kubo, Takeshi Kohama, Hisashi Yoshida (Kindai Univ.)
Neurorehabilitation researches, which aims to recover from brain dysfunction, has attracted attention as a method to eff... [more] HI2021-3
pp.9-12
HI, 3DMT 2020-03-11
12:30
Tokyo Kogakuin Univ. Tokyo Urban Tech Tower Campus
(Cancelled)
Higher-order textures that attract attention -- Pop-out of material surfaces --
Kento Yoneoka (Tsukuba Univ.), Nobuhiko Wagatsuma (Toho Univ.), Ko Sakai (Tsukuba Univ.)
Pop-out among textures depends on low-lever image features and has been known as an outcome of the neural mechanisms und... [more] HI2020-50 3DIT2020-1
pp.1-2
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
15:25
Hokkaido Hokkaido Univ.
(Cancelled)
Presentation Region Calculation of Information Based on Gaze Tracking Data in Soccer Videos
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for calculation of the presentation region of information based on gaze tracking data in so... [more] MMS2020-18 HI2020-18 ME2020-46 AIT2020-18
pp.91-95
HI, VRPSY 2019-11-08
16:10
Osaka Kindai Univ. An effect of bottom-up attention on microsaccade rate
Shogo Noguchi, Takeshi Kohama, Hisashi Yoshida (Kindai Univ.)
Focusing or reallocating attention while actively fixating on the visual stimuli modulates the rate of microsaccades. Ho... [more] HI2019-78
pp.29-32
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
10:15
Hokkaido Hokkaido Univ. A note on estimation of inspectors' visual attention using distress images of subway tunnels -- Trial introduction of deep learning-based saliency prediction methods --
Ryota Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the first trial for estimating inspectors' visual attention of distress images in subway tunnels. Th... [more] MMS2019-30 HI2019-30 ME2019-52 AIT2019-30
pp.281-285
ME 2019-02-09
12:00
Kanagawa Kanto Gakuin University Investigation of realization of space for improvement of concentration ability using MR technology
Kanta Michioka, Akira Kubota (Chuo Univ.)
We aimed to realize an MR space that improves concentration on the desk by limiting the effective visual field of the us... [more] ME2019-10
pp.27-29
IIEEJ, AIT 2018-08-10
11:50
Nagano Shinshu Univ. Gaze Estimation based on Visual Attention Model
Sho Oi (Ritsumeikan Univ.), Mutsuo Sano (OIT), Hajime Tabuchi, Fumie Saito, Satoshi Umeda (Keio Univ.)
Gaze information about human is important to judge the attention function in the human. For example, gaze information du... [more] AIT2018-167
pp.57-60
IDY, IEICE-EID, SID-JC [detail] 2018-07-30
15:25
Tokyo Kikai-Shinko-Kaikan Bldg. [Invited Lecture] Comparison between Binocular and Monocular Augmented Reality Presentation when Continuous Viewing is Required
Akihiko Kitamura, Yasunori Kinosada (Osaka Univ.), Takahiko Kimura (Kansai Univ. of Welfare Sci.), Kazumitsu Shinohara (Osaka Univ.), Takashi Sasaki, Haruhiko Okumura, Aira Hotta (Toshiba corp.)
We compared binocular augmented reality (AR) presentation and monocular AR presentation in a situation where continuous ... [more] IDY2018-38
pp.21-24
HI 2018-03-07
14:30
Tokyo Tokyo University of Agriculture and Technology A scan-path simulation model based on a probabilistic saliency map with receptive field properties of early visul system
Tomoya Okazaki, Takeshi Kohama (Kindai Univ.)
The distribution of gaze position while observing natural images has attracted attention as an evaluation index for the ... [more] HI2018-47
pp.13-16
HI 2017-03-08
14:00
Tokyo Tokyo University of Agriculture and Technology A saliency estimation model for egocentric motion patterns considering receptive field properties of early visual system and higher order motion detection mechanisms
Mitsuhiro Kodama, Takeshi Kohama (Kindai Univ.)
The purpose of this study is to construct a mathematical model which predicts saliency regions in high-speed egocentric-... [more] HI2017-56
pp.13-16
IEICE-HIP, HI [detail] 2016-12-21
10:30
Miyagi Reserach Institute of Electrical Communication, Tohoku University Visual attention on the illusionary hand location
Moe Nonomura, Chia-huei Tseng, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri (Tohoku Univ.)
Recent studies have shown that there exists implicit visual attention in near-hand space (body attention). We attempted ... [more]
HI, 3DMT 2016-03-08
11:15
Tokyo Tokyo University of Agriculture and Technology A Study on Visual Awareness Detection Using Correlation between Target Motion and Eye Movement
Hideho Sakaguchi (ATR/O.P.U.C.T.), Akira Utsumi (ATR), Kenji Susami (ATR/Kinki Univ.), Tadahisa Kondo (Kogakuin Univ.), Takeshi Wada (O.P.U.C.T.)
To achieve a proper support of human tasks such as vehicle driving using attention and awareness control, in addition to... [more] HI2016-43 3DIT2016-2
pp.5-8
HI, 3DMT 2016-03-08
11:40
Tokyo Tokyo University of Agriculture and Technology An analyses of characteristics of fixational eye movements in amblyopia
Yuji Kanoh, Yuma Nakai, Shohei Ohtani (Kinki Univ.), Hiroko Tanaka, Kumi Shirai (WMU), Takeshi Kohama (Kinki Univ.), Shizuya Saika (WMU), Hisashi Yoshida (Kinki Univ.)
It is known that amblyopia could be improved by sight training such as visual attention concentration tasks. However, th... [more] HI2016-44 3DIT2016-3
pp.9-12
HI, 3DMT 2016-03-08
14:00
Tokyo Tokyo University of Agriculture and Technology A gaze prediction model for scan-path simulation of free-viewing
Hiroki Yoshino, Takeshi Kohama (Kinki Univ.)
In the processes of gaze shifts on a visual object, cooperative behaviors of bottom-up attention and top–down atte... [more] HI2016-46 3DIT2016-5
pp.17-20
 Results 1 - 20 of 39  /  [Next]  
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