Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HIP |
2020-12-22 10:30 |
Online |
Online |
Questionnaire survey on visual acuity of undergraduate students under remote learning due to the spread of COVID-19 - Examination of the effect of smartphone screen-viewing time on visual acuity- Yukyu Araragi (Shimane Univ.), Hiroyuki Ito (Kyushu Univ.) HIP2020-53 |
Myopia is the most common disorder in human eyes. Previous studies have reported that decrease in outdoor activity time ... [more] |
HIP2020-53 pp.1-3 |
HIP |
2020-12-22 11:00 |
Online |
Online |
A Legibility Estimation Method for AR Contents Projected on Surfaces with Patterns Naoyuki Kazuta, Toru Abe, Takuo Suganuma (Tohoku Univ.) HIP2020-54 |
Projected Augmented Reality (projected AR) is technology that directly overlays AR contents onto physical objects by usi... [more] |
HIP2020-54 pp.4-9 |
HIP |
2020-12-22 11:30 |
Online |
Online |
High Visibility Information Display in Peripheral Field Shunsuke Tateno, Shuichi Mogi, Tomoharu Ishikawa, Mie Sato, Miyoshi Ayama (Utsunomiya Univ.) HIP2020-55 |
[more] |
HIP2020-55 pp.10-14 |
HIP |
2020-12-22 13:00 |
Online |
Online |
Gender Estimation Method from Handwritten Characters Based on Deep Neural Network Koting Wu, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-56 |
Humans can infer the gender of the writer from handwritten characters to a certain extent. In this paper, we propose a m... [more] |
HIP2020-56 pp.15-19 |
HIP |
2020-12-22 13:30 |
Online |
Online |
A Segmentation Algorithm Based on Capsule Network Using Attention Routing Reo Sakairi, Qiu Chen (Kogakuin Univ.) HIP2020-57 |
In recent years, in order to detect cancer cells from X-ray images, researches on segmentation using deep learning techn... [more] |
HIP2020-57 pp.20-24 |
HIP |
2020-12-22 14:00 |
Online |
Online |
Development of a highly sensitive color vision inspection system Masatoshi Kitaguchi, Tomoyuki Naito, Hiromichi Sato (Osaka Univ.) HIP2020-58 |
In this study, we developed two systems that can easily, quickly, and simultaneously test differences in both hue and br... [more] |
HIP2020-58 pp.25-28 |
HIP |
2020-12-22 14:45 |
Online |
Online |
Attempt on the measurement of voluntary attention measurement by EEG Kazuya Kobayashi, Shin Ono, Yasuhiro Hatori, Chia-huei Tseng, Ichiro Kuriki, Satoshi Shioiri (Tohoku Univ.) HIP2020-59 |
The process of initiation of attention selection (self-initiating attention) is an extremely important brain function re... [more] |
HIP2020-59 pp.29-34 |
HIP |
2020-12-22 15:15 |
Online |
Online |
A reexamination of the effect of crossmodal correspondences on temporal ventriloquism Kentaro Yamamoto, Koshin Yoshida (Kyushu Univ.) HIP2020-60 |
[more] |
HIP2020-60 pp.35-38 |
HIP |
2020-12-22 15:45 |
Online |
Online |
Differences of effects of package color on odor impressions of sanitary napkins between two generations: cognitive neuroscientific study with fNIRS. Yinan Jiang, Naoyuki Sasaki (Tohoku Univ.), Takako Fujii, Shunji Seno (Daio Corp.), Nobuyuki Sakai (Tohoku Univ.) HIP2020-61 |
In this study, the scented sanitary napkin with some particular fragrances was used as the model product to investigate ... [more] |
HIP2020-61 pp.39-44 |
HIP |
2020-12-22 16:30 |
Online |
Online |
[Invited Talk]
Generating an integrated perception of color and motion Yousuke Kawachi (Tohoku Univ.) HIP2020-62 |
A visual system separately processes the feature information embedded in an object, such as color, shape, and motion. Th... [more] |
HIP2020-62 pp.45-49 |
HIP |
2020-12-23 09:30 |
Online |
Online |
Font Generation Support System Reflecting Emotions in Voice Takuto Nonaka, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-63 |
Plain text alone cannot be conveying sufficient emotional expression to users. In order to quantitatively express emotio... [more] |
HIP2020-63 pp.50-54 |
HIP |
2020-12-23 10:00 |
Online |
Online |
Acoustic features of a Japanese speech corpus for emotion(al) intensity estimation Megumi Kawase, Minoru Nakayama (Tokyo Tech) HIP2020-64 |
ecently, there have been many studies on emotion estimation from non-linguistic speech data, but few studies on emotion ... [more] |
HIP2020-64 pp.55-60 |
HIP |
2020-12-23 10:45 |
Online |
Online |
[Invited Talk]
Study of basic color categories by clustering analysis Ichiro Kuriki (Tohoku Univ.) HIP2020-65 |
[more] |
HIP2020-65 pp.61-64 |
HIP |
2020-12-23 13:00 |
Online |
Online |
View from familiar angles promotes preference for objects Taiki Kimura (Waseda Univ.), Kyosiro Sasaki (Kansai Univ.), Koyo Nakamura, Katumi Watanabe (Waseda Univ.) HIP2020-66 |
Preference for visual objects changes depending on where the objects are viewed from. This effect is thought to be deriv... [more] |
HIP2020-66 pp.65-70 |
HIP |
2020-12-23 13:30 |
Online |
Online |
Estimation of preferences to images by facial expression analysis Yuta Horaguchi, Yoshiyuki Sato, Satoshi Shioiri (Tohoku Univ.) HIP2020-67 |
The purpose of the study is to use human facial expression for estimating high level human judgments by a computer, If w... [more] |
HIP2020-67 pp.71-76 |
HIP |
2020-12-23 14:00 |
Online |
Online |
Analysis of human subjective evaluation using deep neural networks Yoshiyuki Sato (Tohoku Univ.), Kazuya Matsubara, Yuji Wada (Ritsmeikan Univ.), Satoshi Shioiri (Tohoku Univ.) HIP2020-68 |
In this research, we constructed an deep learning model to learn and predict several different subjective judgments by h... [more] |
HIP2020-68 pp.77-80 |
HIP |
2020-12-23 14:45 |
Online |
Online |
The effect of valence, arousal, and modality on activity of the frontal cortex evoked by emotional audio and visual stimuli Naoyuki Sasaki, Nobuyuki Sakai (Tohoku Univ.) HIP2020-69 |
This study aimed to clarify the association of cortical activities with positive and negative emotions evoked by visual ... [more] |
HIP2020-69 pp.81-85 |
HIP |
2020-12-23 15:15 |
Online |
Online |
Brain responses during experiencing frisson measured by Near-Infrared Spectroscopy (NIRS) Maekawa Shuta, Sasaki Naoyuki, Sakamoto Shuichi, Sakai Nobuyuki (Tohoku Univ.) HIP2020-70 |
This study aimed to reveal the features of frisson by comparing the brain responses during experiencing the frisson with... [more] |
HIP2020-70 pp.86-89 |
HIP |
2020-12-23 15:45 |
Online |
Online |
Why don't the phantoms appear at noon?
-- The time of day and conditions which pareidolia is most likely to occur -- Ayumi Ikeda, Yuki Yamada (Kyushu Univ.) HIP2020-71 |
The hypothesis of the present study was that face pareidolia is promoted at the times where supernatural agents (e.g., g... [more] |
HIP2020-71 pp.90-95 |