Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HI |
2024-03-19 15:00 |
Online |
|
Analysis of Gaze Tracking by Proficiency Level in FPS Games
-- Improvement Strategies through the Eye Movement Patterns of Expert Players -- Rui Tome, Satoru Odo (Okinawa International Univ.) |
In this study, the visual attention and gaze of novice, intermediate, and advanced players during the gameplay of a popu... [more] |
HI2024-26 pp.52-55 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:18 |
Tokyo |
Tokyo University of Technology |
Achieving Enthusiasm in Virtual Live Concert Through the Synthesis of Sympathetic Audience NPCs Takehiro Ishinuki, Issei Fujishiro (Keio Univ.) |
Virtual live concerts, which have attracted much attention from potential audience in recent years, are less enthusiasti... [more] |
AIT2024-68 pp.127-130 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 13:00 |
Tokyo |
Tokyo University of Technology |
Research on the influence of display size on memory tasks Yohei Harada, Tomokazu Ishikawa (Toyo Univ.) |
This study investigated the influence of display size on memory tasks. Nowadays, various electronic devices are used for... [more] |
AIT2024-98 pp.233-234 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:30 |
Tokyo |
Tokyo University of Technology |
Study on the Impact of Biological Functions and Personality Traits on Shooting Operations in FPS Games Ryotaro Arai, Tomokazu Ishikawa (Toyo Univ.) |
This paper analyzes the effects of players' biological functions and personality traits on shooting maneuvers in order t... [more] |
AIT2024-119 pp.301-302 |
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 14:38 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
Mouse classification system used by players in the e-Sports scene. Takuma Sugiura, Kazuya Ueki (Meisei Univ.) |
In recent years, e-Sports, in which computer games are regarded as sports competitions, has become increasingly popular.... [more] |
AIT2023-65 pp.111-114 |
ME, SIP, TOKAI |
2022-12-07 15:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Comparison of gazing points and gaze prediction of midfielders in soccer training
-- for professional and college student soccer players -- Ryo Isa, Kyosuke Horio, Tsubasa Hirakawa, Takayoshi yamashita, Hironobu Fujiyoshi (Chubu Univ.) |
Gaze behavior in sports has received widespread attention. The purpose is to quantitatively analyze and compare the eye ... [more] |
ME2022-94 SIP2022-13 pp.35-38 |
HI, VRPSY, JSKE |
2022-11-25 13:45 |
Osaka |
Kindai Univ. |
Experimental study on the effects of custom-made mouthpieces for improving sports performance satoshi soma, masao kasuga (sakushin university), takuro takechi (mirai dental), yuichi (hasegawa dental), hiroaki hukuda, katuyuki tunakawa (utunomiya cityhall), akihito kumano (kusw) |
Abstract In this study, among the performance improvement by wearing mouthpiece (MP) which has been a hot topic in rece... [more] |
HI2022-24 pp.3-6 |
IIEEJ, AIT |
2022-10-31 11:40 |
Online |
on line |
A study of philosophical approach through object analysis and design Kunio Ohno (Monavis IT) |
Based on intellectual curiosity and giving logicality, object analysis & designmethodology of class definition and its i... [more] |
AIT2022-185 pp.53-56 |
IST |
2022-09-22 14:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Low-Noise Multi-Gate Pixel Transistor for Sub-Micron Pixel CMOS Image Sensors Koichi Baba, Shota Kitamura, Naohiko Kimizuka, Akiko Honjo, Toshihiro Kurobe, Hideomi Kumano, Takuya Toyofuku (SSS), Kouhei Takeuchi, Shota Nishimura (SCK), Akihiko Kato, Tomoyuki Hirano, Yusuke Oike (SSS) |
As the pixel size of CMOS image sensors (CIS) is rapidly decreasing to sub-micron pixels due to strong demand from mobil... [more] |
IST2022-35 pp.5-8 |
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 13:04 |
Online |
Online |
Study on Scene Extraction Method from Table Tennis Video based on Body Movements Ryosuke Ishikawa, Kohjiro Hashimoto, Tadashi Miyosawa (Suwa Univ.) |
In this research, we propose a scene extraction method focusing on table tennis competition. Table tennis players set up... [more] |
AIT2022-76 pp.147-148 |
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 10:30 |
Online |
Online |
Spectator support system for e-sports using smartphones Ren Katagiri, Yoshihisa Kanematsu (TUT), Ryuta Motegi (TMU), Suguru Matsuyoshi, Koji Mikami (TUT) |
Abstract E-sports are becoming more popular in the world year by year, and the number of spectators is increasing. Ther... [more] |
AIT2022-130 pp.341-344 |
AIT, IIEEJ, AS, CG-ARTS |
2021-03-08 13:45 |
Online |
Online |
Drone Kite: A Simulation of Sports Kite with Drones Noriki Amano (Mukogawa Women's Univ) |
We are exploring the unique usage and availability of drones. As part of that, we aim to simulate a sports kite (competi... [more] |
AIT2021-76 pp.169-172 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 17:05 |
Online |
Online |
A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a prediction method of important scenes in baseball videos based on multimodal variational autoencod... [more] |
MMS2021-14 ME2021-14 AIT2021-14 pp.71-75 |
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 17:30 |
Online |
Online |
A Note on Position Estimation of Superimposing Information in Soccer Videos
-- Decision of Object Placement Based on User's Gaze Position and Players' Positions -- Genki Suzuki, Sho Takahashi, Takahiro Ogawaa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for position estimation of superimposing information based on user's gaze position and play... [more] |
MMS2021-15 ME2021-15 AIT2021-15 pp.77-81 |
ME, SIP |
2020-12-16 14:10 |
Online |
Online |
Infrastructure Required for Improving the Utilization of Human Pose Estimation in Sports Area Koji Nakagawa, Chikara Miyaji (Teikyo Univ.) |
Human pose estimation systems, which realize marker-less motion capture, started to be utilized in sports area. These sy... [more] |
ME2020-104 pp.9-12 |
3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03 15:10 |
Online |
G Square (Hakodate Community Plaza) |
3D Animation of a Humanoid Model using EMG Sensors Tsutomu Horikoshi, Yoshie Nogami (SIT) |
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] |
3DIT2020-11 pp.25-29 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 15:25 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
Presentation Region Calculation of Information Based on Gaze Tracking Data in Soccer Videos Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for calculation of the presentation region of information based on gaze tracking data in so... [more] |
MMS2020-18 HI2020-18 ME2020-46 AIT2020-18 pp.91-95 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28 16:35 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Event Classification in Soccer Videos Using Bidirectional LSTM Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for event classification using Bidirectional LSTM (Bi-LSTM) in soccer videos. In soccer com... [more] |
MMS2020-48 HI2020-48 ME2020-76 AIT2020-48 pp.371-375 |
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 |
IST |
2019-09-20 11:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
A new 0.8um CMOS image sensor with low RTS noise and high full well capacity Takuma Hasegawa (OVT Japan), Kazufumi Watanabe, Y. Jay Jung (OVT), Nagataka Tanaka, Takashi Nakashikiryo (OVT Japan), Wu-Zang Yang (OVT Taiwan), Alan Chih-Wei Hsiung, Zhiqiang Lin, Sohei Manabe, Vincent C. Venezia, Lindsay A. Grant (OVT) |
This is a report of a new 0.8µm, 32 mega pixel CMOS image sensor (CIS) with OmniVision second-generation (Gen2) stacking... [more] |
IST2019-46 pp.13-16 |