| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| HI |
2024-03-19
14:10 |
Online |
|
Prediction and reproduction of the sensation of food penetration based on motion and audio information
Shuma Shibasaki, Katsunori Okajima (YNU) |
The haptic parameters of a haptic feedback device (Phantom Premium 1.0) were used to reproduce the sensation of penetrat... [more] |
HI2024-24
pp.45-47 |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:00 |
Tokyo |
Tokyo University of Technology |
Research on Locomotion Techniques Using Hand Tracking in Virtual Reality
Honoka Akamatsu, Hirokazu Yasuhara, Koji Mikami (TUT) |
Recent years, many virtual reality (VR) contents have been developed. Among them, it is now possible to interact with vi... [more] |
AIT2024-81
pp.177-180 |
| 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 |
| BCT, IEEE-BT, HOKKAIDO |
2023-07-28
10:30 |
Hokkaido |
Sapporo Business Innovation Center
(Primary: On-site, Secondary: Online) |
Proposing a Evaluation Method for Typing Performance Based on Finger Movement Data
Shu Himeda, Misaki Takeda (NITTC) |
Improving typing performance is a major issue in an information-oriented society, and a method to quantitatively evaluat... [more] |
BCT2023-58
pp.37-40 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21
14:25 |
Online |
online |
A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more] |
MMS2022-24 ME2022-49 AIT2022-24
pp.171-175 |
| 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
13:30 |
Online |
Online |
High-Detailing of Low-Detail Motion of CG Characters
Rikuto Tazawa, Hiroshi Mori, Fubito Toyama (Utsunomiya Univ.) |
The motion of a CG character is one of important elements in CG contents. Motion capture and keyframe interpolation are ... [more] |
AIT2021-82
pp.185-186 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
Motion Correction of CG Avatar Based on Case Data of Interaction
Ko Suzuki, Hiroshi Mori, Fubito Toyama (Utsunomiya Univ.) |
By using motion capture, the user can manipulate the CG avatar in response to the user's movements. However, due to the ... [more] |
AIT2021-83
pp.187-188 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Spatio-Temporal Compression of Time-Varying Volume Data for Liquid Animation Based on Motion Compensation Prediction
Taiki Shimomura, Takashi Kanai (UT) |
In the liquid simulation, the density or velocity information stored as a volume data can be visualized by volume render... [more] |
AIT2020-82
pp.115-118 |
| 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 |
| SIP, ME |
2019-11-14
13:25 |
Kumamoto |
Sojo University, Main Campus |
A Proposal of MLOps for Motion Capture Systems Satisfying Sports Demands by Using Human Pose Estimation
Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
In the sports research, motion capture systems are used widely and effectively. Recently the deep learning progress for ... [more] |
ME2019-118
pp.15-18 |
| IIEEJ, AIT |
2019-09-05
14:50 |
Iwate |
Iwate Prefectural Univ. |
A Video Frame Selection Method for Efficient 3D Model Generation
Munetoshi Iwakiri, Yusuke Miyazaki, Ryousuke Uruma, Kazuie Sakuma (NDA) |
Utilization of 3D data obtained with real space surveys is attracting attention with the improvement of 3D measuring and... [more] |
AIT2019-173
pp.9-12 |
| 3DMT, HI |
2019-03-08
14:40 |
Tokyo |
Kogakuin Univ. Tokyo Urban Tech Tower Campus |
Affective Voice Generator by using Generative Adversarial Networks
Takuya Asakura, Shunsuke Akama, Shoji Yamamoto (TMCIT) |
A voice assistant device with internet connection has been spread in the world. An efficient use of this device is expec... [more] |
HI2019-58 3DIT2019-10
pp.37-40 |
| 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 |
2018-12-18
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 |
| IEICE-MRIS, MMS |
2018-06-08
11:10 |
Miyagi |
Tohoku Univ. |
Evaluation of Current-driven Magnetic Domain Motion along [Co/Tb] Nanowire by Magneto Optical Microscopy
Mitsunobu Okuda, Mayumi Kawana, Yasuyoshi Miyamoto, Norihiko Ishii (NHK) |
We have proposed a new magnetic recording memory utilizing parallel aligned nanowires without mechanical moving parts, i... [more] |
MMS2018-45
pp.63-67 |
| ME |
2018-02-24
11:00 |
Kanagawa |
Kanto Gakuin Univ. |
Interactive contents of shari casket using motion data and AR
Hibiki Tanimukai, Asako Soga, Yoshihiro Okada (Ryukoku Univ.) |
In this research, we developed interactive content using motion data and augmented reality (AR) to stimulate interest in... [more] |
ME2018-46
pp.7-8 |
| 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 |