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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-26 15:34 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Comparison of Imbalanced Data Handling Techniques in Emotion Estimation of Expressway Service Area Workers using Stacking Ensemble Learners for Complex Decision Boundaries Akihiro Sato, Satoki Ogiso, Ryosuke Ichikari, Takeshi Kurata (AIST)  PRMU2023-47 |
Estimating emotions of workers is promising to promote health and productivity management, while it has difficulty in c... [more] | PRMU2023-47 pp.40-45 |
| HCS, CNR | 2023-11-05 14:40 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Development of a human-friendly robot using a behavioral model based on emotion recognition Chika Kanesaki, Kenji Matsuzaka (NIT, UC) CNR2023-14 HCS2023-76 |
In smooth communication between humans, the recognition and understanding of nonverbal information caused by emotions is... [more] | CNR2023-14 HCS2023-76 pp.38-44 |
| HCS | 2023-08-25 16:20 |
Hyogo | (Primary: On-site, Secondary: Online) |
Modeling of Expressed Emotions in Puzzle Tasks and Estimation of the Emotion based on Laban Movement Analysis Akari Kubota, Sota Fujiwara (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), MIchiya Yamamoto (Kwansei Gakuin Univ.) HCS2023-48 |
Research to recognize and estimate human emotions using such as facial expressions has been vigorously conducted. By foc... [more] | HCS2023-48 pp.29-34 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Speech Emotion Recognition based on Emotional Label Sequence Estimation Considering Phoneme Class Attribute Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) SP2023-9 |
Recently, many researchers have tackled speech emotion recognition (SER), which predicts emotion conveyed by speech. In ... [more] | SP2023-9 pp.42-47 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Generation of colored subtitle images based on emotional information of speech utterances Fumiya Nakamura (Kobe Univ.), Ryo Aihara (Mitsubishi Electric), Ryoichi Takashima, Tetsuya Takiguchi (Kobe Univ.), Yusuke Itani (Mitsubishi Electric) SP2023-11 |
Conventional automatic subtitle generation systems based on speech recognition do not take into account paralinguistic i... [more] | SP2023-11 pp.54-59 |
| NC, MBE (Joint) |
2023-03-15 13:50 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Comparison of classification accuracy by frequency band restriction on emotion recognition from EEG Raiki Yamane, Shin'ichiro Kanoh (SIT) NC2022-115 |
Accuracy of emotion classification in deep learning when frequency band restriction is used as a preprocessing method fo... [more] | NC2022-115 pp.127-132 |
| IPSJ-SLDM, RECONF, VLD [detail] | 2023-01-24 10:55 |
Kanagawa | Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) VLD2022-66 RECONF2022-89 |
Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram.... [more] | VLD2022-66 RECONF2022-89 pp.40-44 |
| HCS | 2022-10-27 14:20 |
Online | Online | Do mood states contribute to facial expression perception? Qi Fan (Waseda Univ.), Kyoko Ito (Kyoto Tachibana Univ./Osaka Univ.), Fusako Koshikawa (Waseda Univ.) HCS2022-51 |
This study intends to investigate how mood states affect facial expression perception. The study examined how depression... [more] | HCS2022-51 pp.18-23 |
| HCS | 2022-08-26 11:00 |
Hyogo | (Primary: On-site, Secondary: Online) |
Analysis of Relationships among Body Movement, Eye Information, and Physiological Indices in Emotion Expressions during Video Watching Hayate Yamada, Fumiya Kobayashi, Souta Fujiwara (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), Michiya Yamamoto (Kwansei Gakuin Univ.) HCS2022-36 |
With the recent progress of human sensing and AI technologies, many studies on recognition and estimation of human inter... [more] | HCS2022-36 pp.3-8 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Emotion discrimination model for learning spatio-temporal frequency information of EEG using SNN Rio Kanda, Chika Sugimoto (Yokohama National Univ.) |
In order to achieve high accuracy in emotion recognition based on EEG, it is considered effective to simultaneously lear... [more] | |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Modality-Independent Emotion Recognition Based on Hyper-Hemispherical Embedding and Latent Representation Unification Using Multimodal Deep Neural Networks Seiichi Harata, Takuto Sakuma, Shohei Kato (NIT) |
This study aims to obtain a mathematical representation of emotions (an emotion space) common to modalities. The propos... [more] |
|
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2021-12-02 15:20 |
Online | Online | improvement of multilingual speech emotion recognition by normalizing features using CRNN Jinhai Qi, Motoyuki Suzuki (OIT) NLC2021-22 SP2021-43 |
In this research, a new multilingual emotion recognition method by normalizing features using CRNN has been proposed. We... [more] | NLC2021-22 SP2021-43 pp.22-26 |
| AI | 2020-12-11 10:55 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
An application of Differentiable Neural Architecture Search to Multimodal Neural Networks Yushiro Funoki, Satoshi Ono (Kagoshima Univ) AI2020-11 |
This paper proposes a method that designs an architecture of a deep neural network for multimodal sequential data using ... [more] | AI2020-11 pp.52-56 |
| NLC, IPSJ-NL, SP, IPSJ-SLP [detail] | 2020-12-02 13:50 |
Online | Online | Multi-Modal Emotion Recognition by Integrating of Acoustic and Linguistic Features Ryotaro Nagase, Takahiro Fukumori, Yoichi Yamashita (Ritsumeikan Univ.) NLC2020-14 SP2020-17 |
In recent years, the advanced techique of deep learning has improved the performance of Speech Emotional Recognition as ... [more] | NLC2020-14 SP2020-17 pp.7-12 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 13:30 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Method of Automatic Generation of YouTube Thumbnails and Its Evaluations Yuki Kakui, Akari Shimono, Toshihiko Yamasaki (UTokyo) IMQ2019-46 IE2019-128 MVE2019-67 |
Recently, YouTubers are becoming more and more popular, and how to make thumbnails attractive is important to attract vi... [more] | IMQ2019-46 IE2019-128 MVE2019-67 pp.157-162 |
| HPB (2nd) |
2020-02-14 16:10 |
Kanagawa | Performance evaluation of bullying voice judgement system using emotion analysis based on SVM Takahiro Ueno, Shintaro Mori, Masayoshi Ohashi (Fukuoka Univ.) |
Bullying is a serious problem all over the world, and bullying detection is significant to protect victims. In this pape... [more] | ||
| HCS | 2020-01-26 16:40 |
Oita | Room407, J:COM HorutoHall OITA (Oita) | Children's emotion recognition based on vocal cues
-- A review of the literature on vocal emotion recognition -- Naomi Watanabe, Tessei Kobayashi (NTT) HCS2019-82 |
(To be available after the conference date) [more] | HCS2019-82 pp.163-166 |
| MVE, IPSJ-CVIM | 2020-01-24 10:40 |
Nara | [Short Paper]
CNN-based Music Emotion and Theme Recognition Featuring Shallow Architecture Shengzhou Yi, Xueting Wang, Toshihiko Yamasaki (UTokyo) MVE2019-32 |
We propose several convolutional neural networks to recognize emotions and themes conveyed by the audio tracks. We appli... [more] | MVE2019-32 pp.99-100 |
|
| HIP | 2019-12-19 14:00 |
Miyagi | RIEC, Tohoku University | Mathematical Representation of Emotion by Combining Recognition and Unification Tasks Using Multimodal Deep Neural Networks Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) HIP2019-65 |
To emulate human emotions in robots, the mathematical representation of emotion is important for all components of affec... [more] | HIP2019-65 pp.1-6 |
| 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] | |
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