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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
11:47
Tokyo Tokyo Polytechnic Univ. (Nakano) An MR Fashion That Reflects Bio-Information -- A Multiplayer Virtual Fashion Experience Utilizing Video See-Through MR, EEG, and Customized Garments --
Maika Yamamoto, Taiki Shigeno, Kenta Hidaka, Ryu Nakagawa (NCU)
This paper introduces "MR Fashion," a multi-participant virtual fashion experience where real garments are augmented wit... [more] AIT2025-59
pp.73-76
IIEEJ, AIT 2022-10-31
11:00
Online on line Along with the increase in the feeding rate of the pets such as dogs and cats, the amount of time people spend together ... [more] AIT2022-183
pp.45-48
HI, IEICE-HIP, ASJ-H, VRPSY [detail] 2022-02-28
09:45
Online on line Estimation of speech emotional intensity model using impression ratings
Megumi Kawase, Minoru Nakayama (Tokyo Tech)
We used deep learning to estimate emotional intensity from speech. In our previous study, we considered emotional intens... [more]
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
15:00
Online Online Proposal of Factor Analysis Method of Emotion Evocation by Music Listening
Yuki Notomi, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech.)
When we listen to music, we often feel chills and thrills. These bodily functions caused by the music are defined as "em... [more] AIT2021-127
pp.323-326
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
15:10
Hokkaido Hokkaido Univ.
(Cancelled)
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more] MMS2020-17 HI2020-17 ME2020-45 AIT2020-17
pp.85-89
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:45
Hokkaido Hokkaido Univ. A Note on Eye Gaze-based Estimation of Emotion Evoked by Watching Images -- Performance Improvement via Feature Transformation Based on KDLPCCA --
Taiga Matsui, Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.)
This paper presents an estimation method for emotion evoked by watching images focused on non-linear correlations of bet... [more] MMS2019-39 HI2019-39 ME2019-61 AIT2019-39
pp.323-327
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-15
15:45
Hokkaido Hokkaido Univ. A Note on Estimation of Users' Emotion Evoked During Listening to Music -- Performance Improvement Based on Deep Learning Method --
Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio... [more] MMS2018-21 HI2018-21 ME2018-21 AIT2018-21
pp.201-206
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
15:30
Hokkaido Hokkaido Univ. A note on estimation of users' emotion evoked during listening to music -- Performance improvement base on fusion of multiple estimation results --
Boxiao Duan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper precent estimation of users' emotion evoked during listening to music. In our method, we focus on RUSBagging ... [more] MMS2017-44 CE2017-44 HI2017-44 ME2017-68 AIT2017-44
pp.349-354
CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] 2017-02-20
16:00
Hokkaido Hokkaido Univ. A note on estimating human emotion evoked by visual stimuli using fNIRS signals
Kento Sugata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method that estimates human emotion evoked by visual stimuli using functional near-infrared spectr... [more] MMS2017-14 CE2017-14 HI2017-14 ME2017-38 AIT2017-14
pp.89-92
 Results 1 - 9 of 9  /   
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