Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
The effectiveness of a voice-based mental health evaluation method in the Web meeting systems Noriaki Sonota, Masakazu Higuchi, Mitsuteru Nakamura, Yasuhiro Omiya, Shuji Shinohara (UTokyo), Takeshi Takano (PST), Eiji Takayama (Asahi Univ.), Shunji Mitsuyoshi, Shinichi Tokuno (UTokyo) |
The authors have previously conducted studies on a technology that allows the estimation of mental state based on the vo... [more] |
|
HIP |
2021-10-21 10:35 |
Online |
Online |
Estimations of emotional impression for emotion-evoking pictures using eye information Minoru Nakayama (Tokyo Tech.) HIP2021-31 |
Regression predicted ratings of valence and arousal for presented images were evaluated using relationships between ocul... [more] |
HIP2021-31 pp.7-12 |
MVE |
2021-09-17 10:30 |
Online |
Online |
Estimation of Changes in User's Internal State from Electrocardiography for Generating Affective Feedback Naoki Kammaki, Natsumi Murakami, Tomoko Yonezawa (Kansai Univ.) MVE2021-9 |
The purpose of this study is to understand and improve the user's mood tendency through i) the measurement of the user's... [more] |
MVE2021-9 pp.7-12 |
HIP |
2021-09-16 14:45 |
Online |
Online (Zoom) |
Impact of Visual Information on Estimated Emotions from Skeleton Motion Wentao Huang, Katsunori Okajima (YNU) HIP2021-24 |
Humans express emotions not only by facial expressions but also by body motion, and it is expected that they will be app... [more] |
HIP2021-24 pp.17-20 |
DE |
2021-07-24 13:45 |
Kanagawa |
KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
Social Emotional Change Estimation using Twitter Fujio Toriumi (UT), Michimasa Inaba (UEC) DE2021-11 |
In this paper, we developed a new emotion estimation model using BERT to extract social emotions from Twitter.
The accu... [more] |
DE2021-11 pp.58-62 |
IMQ, HIP |
2021-07-09 16:00 |
Online |
Online |
IMQ2021-5 HIP2021-20 |
To achieve emotional intensity estimation, we use segment-based estimation in which the utterance is divided into severa... [more] |
IMQ2021-5 HIP2021-20 pp.17-22 |
HCS, HIP, HI-SIGCOASTER [detail] |
2021-05-24 16:15 |
Online |
Online |
Relationship between subjective evaluation of emotional images and pupillary reactions Jijika Murokawa, Minoru Nakayama (Tokyo Tech.) HCS2021-8 HIP2021-8 |
Relationships between emotion evoked images and pupil responses were analysed, and a possibility of estimation for impre... [more] |
HCS2021-8 HIP2021-8 pp.38-43 |
BioX, CNR |
2021-03-02 09:30 |
Online |
Online |
Construction and Evaluation of an Emotion Estimation Model Using EEG and Heart Rate Variability Indices Kei Suzuki, Ryota Matsubara, Midori Sugaya (Shibaura Inst. of Tech.) BioX2020-40 CNR2020-13 |
Urabe et al. have conducted research on human emotion estimation techniques. They constructed an emotion estimation mode... [more] |
BioX2020-40 CNR2020-13 pp.1-6 |
MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 15:55 |
Online |
Online |
A Consideration on Estimation Accuracy Improvement of Unlearned Data in Video Viewer's Emotion Estimation Using Bio-signals Misato Matsumura, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-120 |
We are conducting a research of video viewer’s emotion estimation from bio-signals using deep neural network in order to... [more] |
CQ2020-120 pp.67-72 |
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 |
ITS, WBS, RCC |
2020-12-15 11:35 |
Online |
Online |
A Study on Stress Prediction Model based on Simultaneous Measurement of Environmental and Emotional Data Koshiro Maeda, Tomoki Hashiguchi, Nobuyoshi Komuro, Keita Hirai (Chiba Univ.) WBS2020-26 ITS2020-22 RCC2020-29 |
Emotion estimation technology has attracted attention in terms of work style reform, classroom support, and car driving ... [more] |
WBS2020-26 ITS2020-22 RCC2020-29 pp.103-108 |
HIP, HCS, HI-SIGCOASTER [detail] |
2020-05-14 15:50 |
Online |
Online |
Music generation and emotion estimation from EEG for inducing affective states Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura (NAIST) HCS2020-9 HIP2020-9 |
We propose a music generation feedback system that compares the user's emotion estimated by EEG with the desired emotion... [more] |
HCS2020-9 HIP2020-9 pp.41-45 |
HIP, HCS, HI-SIGCOASTER [detail] |
2020-05-14 16:10 |
Online |
Online |
Estimation of recognizing emotions of facial images using EEG features Satoru Waseda, Minoru Nakayama (TokyoTech) HCS2020-10 HIP2020-10 |
Relationship between viewer's scalp potentials and subjective impression
during viewing facial emotions was analysed u... [more] |
HCS2020-10 HIP2020-10 pp.47-52 |
NC, MBE (Joint) |
2020-03-05 13:20 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Estimating emotions from EEG by using multidimensional directed coherence Haruka Torii, Takamasa Shimada (Tokyo Denki Univ.), Osamu Sakata (Tokyo Univ. of Science), Tadanori Fukami (Yamagata Univ.) MBE2019-84 |
In this study, we investigated an emotion estimation method using EEG. Six kinds of emotions were evoked by facial expre... [more] |
MBE2019-84 pp.17-22 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 15:10 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
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] |
|
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Crosslingual Emotion Recognition using English and Japanese Speech Data Yuta Nirasawa, Atom Scotto, Ryota Sakuma, Yuki Hujita, Keiich Zempo (Tsukuba Univ.) |
Since reasearch in Speech Emotion Recognition(SER) is performed with mostly English data, applying these models to Japan... [more] |
|
SP |
2019-08-28 17:00 |
Kyoto |
Kyoto Univ. |
Speech Emotion Classification based on Multi-Label Emotion Existence Estimation Atsushi Ando, Ryo Masumura, Hosana Kamiyama, Satoshi Kobashikawa, Yushi Aono (NTT) SP2019-16 |
This paper presents a novel speech emotion classification that addresses the ambiguous nature of emotions in speech. Mos... [more] |
SP2019-16 pp.39-44 |
TL |
2019-03-18 16:20 |
Tokyo |
Waseda University |
Examination of Emotion Estimation Technique of Driver Using Biomedical Signal Yusuke Shoji, Atsushi Ito, Hiroyuki Hatano (Utsunomiya Univ.) TL2018-64 |
In recent years, various driving support systems such as automatic braking and vehicle detection for preventing rear-end... [more] |
TL2018-64 pp.77-81 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:50 |
Kagoshima |
Kagoshima University |
Estimation of Video Viewers' Emotion by SRC using Bio-signals and Facial Feature Points Yui Tagami, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.), Simon Clippingdale (NHK STRL) CQ2018-95 |
Aiming for making more accurate content recommendation system, we estimate video viewers’ emotion based on questionnaire... [more] |
CQ2018-95 pp.19-24 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 11:15 |
Kagoshima |
Kagoshima University |
Emotion Estimation Method based on Biological Sensing Toward Personal Audio and Video Recommendations Satomi Shirasaki, Kenji Kanai, Jiro Katto (Waseda Univ.) CQ2018-96 |
thanks to spreading of audio and video streaming services, we can easily share the audio and video content. In this pape... [more] |
CQ2018-96 pp.25-29 |