Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2024-03-01 15:20 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
On Using Existing Facial Expression Recognition Model for Student Behavior Tracking Yuna Kaneko, Masato Kikuchi, Tadachika Ozono (NIT) AI2023-43 |
It is challenging for teachers to understand students' reactions during online lectures. Estimating student behaviors by... [more] |
AI2023-43 pp.37-40 |
ET |
2023-12-16 13:15 |
Okayama |
Tsushima Campus,Okayama University |
Recognition of student facial expressions and movements during class
-- Effects of recognition th rough generated images and frontalization frontalization -- Kazuo Ohzeki, Aki Saito Shiojiri, Koichi Kamijo, Masami Suzuki (IPUT) ET2023-39 |
Using cameras and electroencephalograms, we are conducting research to identify teacher actions to improve student conce... [more] |
ET2023-39 pp.19-23 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-16 16:50 |
Tottori |
(Primary: On-site, Secondary: Online) |
Understanding level estimation using similarities between users' understanding expression patterns Yuki Kitagishi, Naohiro Tawara, Atsunori Ogawa, Taichi Asami (NTT), Tomoko Yonezawa (Kansai Univ.) PRMU2023-26 |
We define three-degree understanding levels of low/neutral/high as an audience member looks like they are understanding ... [more] |
PRMU2023-26 pp.56-61 |
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-17 09:20 |
Tottori |
(Primary: On-site, Secondary: Online) |
Research on automatic different sign language conversion and CG presentation based on sign language video analysis Masamitsu Miyata, Masamitsu Nishi, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe (Kagoshima Univ.) PRMU2023-31 |
Sign languages vary from country to country, making it difficult for signers from different countries to communicate wit... [more] |
PRMU2023-31 pp.86-91 |
HCS, CNR |
2023-11-05 15:05 |
Tokyo |
Kogakuin University (Primary: On-site, Secondary: Online) |
Investigation of Effective Features for Estimating Agreement or Disagreement by Facial images in Online Conferences Hiroki Saito, Kyotaro Sato, Junji Yamato (Kogakuin Univ.) CNR2023-15 HCS2023-77 |
In online conferences, it is more difficult to capture detailed facial expression changes than in offline conferences. I... [more] |
CNR2023-15 HCS2023-77 pp.45-49 |
HCS, CNR |
2023-11-06 15:30 |
Tokyo |
Kogakuin University (Primary: On-site, Secondary: Online) |
Effect of Assertive Feedback from a Job Interview Training Agent Nao Takeuchi, Tomoko Koda (OIT), Miho Hotta (KINDAI) CNR2023-25 HCS2023-87 |
In this study, we developed an interview training system in which a virtual agent provides feedback on improvements in i... [more] |
CNR2023-25 HCS2023-87 pp.96-101 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Toward the ordinal scale based facial expression evaluation Kei Shimonishi, Kazuaki Kondo, Junyao Zhang, Yuichi Nakamura (Kyoto Univ.) |
Traditional frameworks of facial expression recognition mainly focus on a clear facial expression as a classification pr... [more] |
|
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
Construction of a facial expression database of Japanese elderly people and Benchmarking by facial expression analysis system Hiroto Murakami, Naoto Yoshida (Nagoya Univ.), Tomoko Yonezawa (Kansai Univ.), Yu Enokibori, Kenji Mase (Nagoya Univ.) |
In this study, we constructed a database of facial expressions of Japanese elderly people and analyzed their features us... [more] |
|
HIP |
2021-10-21 10:10 |
Online |
Online |
Understanding Estimation of Web-Meeting Participants Using Multiple-Understanding States by Web Camera Video Yuki Kitagishi, Hosana Kamiyama, Takeshi Mori, Taichi Asami, Naohiro Tawara (NTT), Tomoko Yonezawa (Kansai Univ.) HIP2021-30 |
In this study, we propose a new estimation method of the five-level participant's understanding in a web conference from... [more] |
HIP2021-30 pp.1-6 |
HCS, HIP, HI-SIGCOASTER [detail] |
2021-05-25 12:50 |
Online |
Online |
Development of a Job Interview Training System with Multi-modal Behavior Analysis Nao Takeuchi, Tomoko Koda (OIT) HCS2021-10 HIP2021-10 |
This paper introduces a job interview training system that recognizes the nonverbal behaviors of the interviewee, namely... [more] |
HCS2021-10 HIP2021-10 pp.50-54 |
AI |
2021-02-22 13:40 |
Online |
Online |
AI2020-45 |
(To be available after the conference date) [more] |
AI2020-45 pp.36-41 |
HCS |
2021-01-24 11:40 |
Online |
Online |
Recognizing detailed smile intensity changes for QOL estimation Taichi Nakamura, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ), Shinichi Satou (NII) HCS2020-59 |
This paper introduces a novel method for recognizing smile toward the use of QOL (Quality Of Life) estimation.
Facial ... [more] |
HCS2020-59 pp.39-44 |
NLP |
2020-05-15 11:25 |
Online |
Online |
Facial Expression Recognition by a Neural Network Inspired from Processing between the Visual Cortex and Amygdala Daiki Yoshihara, Toshikazu Samura (Yamaguchi Univ.) NLP2020-2 |
Facial expressions are important to communication. The visual cortex and amygdala are involved in the recognition of fac... [more] |
NLP2020-2 pp.7-10 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 15:20 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Facial Expression Recognition with Application of Augmented Reality Technologyon Amusement of Human Body Model in Virtual Reality with Converted Appearanceof Oneself Operated by Whole Body Motion Yang Bowen, Ikoma Norikazu (NIT) CQ2019-157 |
As an amusement that can be played in response to human motion in real time, the face of tester is beautified from image... [more] |
CQ2019-157 pp.119-123 |
HIP, ASJ-H |
2020-02-16 11:15 |
Okinawa |
IT Souzou-kan Bldg. (Naha) |
Estimation of the communication mood using facial expressions during conversation. Hiroyuki Umemura, Tomomi Fujimura (AIST) HIP2019-90 |
In the present study, we measured facial expressions during conversations had by two participants and investigated the r... [more] |
HIP2019-90 pp.67-71 |
SRW, SeMI, CNR (Joint) |
2019-11-05 16:10 |
Tokyo |
Kozo Keisaku Engineering Inc. |
[Invited Talk]
Robot AI Platform x "unibo" Toshikazu Kanaoka (Fujitsu) |
Fujitsu developed "robot AI platform" as a service platform providing natural communication between people and robots. T... [more] |
|
MVE |
2019-08-29 15:50 |
Aichi |
|
A Proposal of Facial Expression Recognition Method from Video Using Enhanced ConvLSTM Ryo Miyoshi (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) MVE2019-12 |
We propose an enhanced convolutional long short-term memory (ConvLSTM) algorithm, i.e., Enhanced ConvLSTM, by adding ski... [more] |
MVE2019-12 pp.37-42 |
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Construction of Facial Expression Space Based on Expression Discrimination Threshold and Its Significance Runa Sumiya (Chuo Univ.), Reiner Lenz (Linkoping Univ.), Jinhui Chao (Chuo Univ.) |
As a quantitative representation of facial expressions, a recent method uses relative contribution rate of basic categor... [more] |
|
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Facial Expression Synthesis by High Dimensional Morphing among Multiple Expressions and Application to Expression Space Nose Hideaki, Chao Jinhui (Chuo Univ.) |
In recent years, morphing techniques are widely used to synthesize continuous facial expressions between two human expre... [more] |
|
PRMU |
2017-10-12 10:00 |
Kumamoto |
|
Research on Automatic Nervous State Estimation based on Time-Series Deep Learning Kanji Yamaguchi, Masayuki Kashima, Shinya Fukumoto, Kiminori Satou, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-64 |
[more] |
PRMU2017-64 pp.7-12 |