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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 24  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
15:38
Tokyo Tokyo Polytechnic Univ. (Nakano) Visualization Technology for Romantic Music
Ikuko Sawaya, Momoko Maezawa, Naotsuna Fujimori, Kazuteru Komine, Yasuhito Sawahata, Masaru Miyazaki (NHK)
NHK Science & Technology Research Laboratories (NHK STRL) is developing a novel music visualization system that can pres... [more] AIT2025-87
pp.174-177
AIT, IIEEJ, AS, CG-ARTS 2025-03-10
13:00
Tokyo Tokyo Polytechnic Univ. (Nakano) Comparison of viewer emotions inferred from dialogue in movie scenarios and emotions during viewing -- Impression aggregation method using hand-held devices --
Iori Nakamoto, Yuriko Takeshima, Kai Lenz (TUT)
When a film is produced, a scenario is created as an intermediate production, and the performers act based on the scenar... [more] AIT2025-124
pp.307-310
ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] 2025-02-18
14:15
Hokkaido Hokkaido Univ. Analysis of mountain climbing motion using loads on forefoot, midfoot and rearfoot
Satoshi Shimada, Daisuke Kawamura (Nihon Univ.)
Mountaineering accidents are increasing every year, and accident prevention has become an important social issue. More t... [more] MMS2025-12 ME2025-12 AIT2025-12 SIP2025-12
pp.62-65
SIP 2024-03-21
15:00
Ibaraki Center for Computational Sciences, University of Tsukuba Walking training support method for mountain climbing using foot pressure distribution
Satoshi Shimada, Noji Raito, Meguro DAaiki (Nihon Univ.)
In recent years, many mountaineers are unassociated, and this is a major factor in the increase of accidents. 35 percent... [more] SIP2024-5
pp.12-15
ME 2024-02-10
14:45
Online online A method of detecting pose images to support imitation learning for climbing
Yinghao Jiang, Satoshi Shimada (Nihon Univ.)
Learning using videos is effective in improving skills in sports. Since sports enthusiasts have few opportunities to rec... [more] ME2024-15
pp.51-54
HI, VRPSY, JSKE 2023-11-10
14:45
Wakayama Wakayama Big-ai, Room 801 Time-series AI analysis of whole-body movements in independent elderly and elderly requiring care
Hiroki Kawasaki, Takeshi Kohama, Masanobu Kusunoki (Kindai Univ.), Soichi Okada (Ukai Hospital), Eiji Fujita (National Institute of Fitness and Sports in Kanoya), Nobuo Takeshima (Asahi Univ.), William F. Brechue (Kirksville College of Osteopathic Medicine)
In this study, we performed a 20-second march test (foot-stomping exercise) on women aged 55–90 years. We measured their... [more] HI2023-19
pp.17-20
3DMT 2023-03-07
16:35
Tokyo
(Primary: On-site, Secondary: Online)
An analysis for displaying a motionless aerial point in arc 3D display while observers move their head
Akua Kawakami, Haruki Mizushina (Tokushima Univ), Shiro Suyama (Utsunomiya Univ), Kenji Yamamoto (Tokushima Univ)
In an arc 3D display, we analyzed how to make scratches to display motionless image points in air which can be observed ... [more] 3DMT2023-24
pp.93-96
AIT, IIEEJ, AS, CG-ARTS 2023-03-06
12:40
Tokyo Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online)
The interior which visualizes emotions analyzed from Twitter
Honoka Onishi, Hisakazu Hada (TUT)
Stress arises from sudden changes in emotions. Self-care is important to protect the mind from stress. Therefore, I devi... [more] AIT2023-117
pp.289-292
AIT, IIEEJ, AS, CG-ARTS 2022-03-08
09:54
Online Online Prototyping of a real-time sound effect tool for live streaming with CG avatar
Hikaru Murakami, Akinori Ito (TUT)
In this study, we created a prototype of a tool that plays sound effects in real time in response to the actions of a CG... [more] AIT2022-42
pp.17-20
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
11:40
Online online English Situation-dependent Sentiment Polarity Dictionary
Toshiki Matsumura, Atsushi Takada (UTokyo), Yoshinobu Kano (Shizuoka Univ.), Toshihiko Yamasaki (UTokyo)
An sentiment polarity dictionary is indispensable for reputation and sentiment analysis using Social Network Services (S... [more]
ME 2022-02-12
12:00
Online online System for Visualizing Muscle Activity Using Body-Motion Input and Muscle Analysis Data
Taichi Yano, Asako Soga, Daisuke Tawara (Ryukoku Univ.)
This study displays muscle analysis data from body-motion input in real-time. We developed a system that visualizes musc... [more] ME2022-12
pp.45-46
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
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
12:15
Tokyo Tokyo University of Technology
(Cancelled)
A Study on a Frame Switching Method of a Motion Comic based on a Tempo Analysis of a Sound Source
Tanaka Kaito, Onishi Ryota, Sawano Hiroaki (AIT), Hotta Seiji (TAT)
A video content, adding a movement and a sound source to a comic image, is known as a motioncomic, and a video productio... [more] AIT2020-60
pp.41-44
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 2020-02-08
11:00
Kanagawa Kanto Gakuin University Comparisons of Baseball Practice Swings by Motion Capture
Taichi Miyabe, Asako Soga (Ryukoku Univ.)
We compared baseball practice swings using motion data to clarify the features of unique practice swings. We measured th... [more] ME2020-3
pp.7-8
SIP, ME 2019-11-14
13:00
Kumamoto Sojo University, Main Campus A Study on Scene Matching for Different Pitching Styles
Ryohei Osawa (Waseda Univ.), Takaaki Ishikawa (GITI), Hiroshi Watanabe (Waseda Univ.)
In recent years, baseball video data has been used to analyze player motions. Since the video can be confirmed as many t... [more] ME2019-117
pp.13-14
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
ME, SIP 2018-12-17
16:10
Tokyo The University of Electro-Communications [Special Talk] Human motion analysis using images
Hidetaka Okada (UEC)
Image plays an important role in analyzing human movement in competitive sports and daily life. Analysis of human moveme... [more] ME2018-111
pp.29-30
ME, SIP 2018-12-18
10:50
Tokyo The University of Electro-Communications A trial on sport-informatics
Junnosuke Kado, Daiki Suehiro (Kyushu Univ.), Takaaki Kato (Keio Univ.), Seiichi Uchida (Kyushu Univ.)
In this paper, we evaluate of the quality of a baseball pitching motion in which the batters feel difficulty in hitting ... [more] ME2018-114
pp.39-42
HI, VRPSY 2018-12-15
09:00
Fukuoka Kokura Campus, Univ. Kitakyushu Temporal Analysis of Smile Expressions Using QRNN
Kodai Kitamura, Kazunori Kotani, Siritanawan Parinya (JAIST)
This paper describes recognition of smile expressions. We distinguish two types of smile expression, first is “Ginnine s... [more] HI2018-69
pp.33-36
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