| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
14:02 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
Clustering Method of Driving Scene using Coupled-GP-HSMM
-- Evaluation of Relationship between Road Gradient and Braking Operation --
Taiga Matsunaga, Ginnojo Muto, Daichi Yanagihara, Kohjiro Hashimoto (Suwa Univ.) |
This paper examines a clustering method for driving behavior data. Here, it is assumed that the driving scene is defined... [more] |
AIT2023-62
pp.101-102 |
| ME, SIP, TOKAI |
2022-12-07
14:00 |
Aichi |
(Primary: On-site, Secondary: Online) |
Examination of Evaluation Method of Simultaneity in Human Motion
Yuna Hara, Keiji Gyohten, Hidehiro Ohki, Toshiya Takami (Oita Univ) |
In recent years, ICT-based systems have begun to be used in the field of sports. The purpose of this study is to quantif... [more] |
ME2022-92 SIP2022-11
pp.27-30 |
| HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-27
14:15 |
Online |
on line |
A time-series learning model for estimating the microsaccade segments from fixation eye movement data
Tomoaki Morimoto, Kousuke Nakagaki, Masahito Sakaguchi, Ryoma Kobata, Hisashi Yoshida, Takeshi Kohama (Kindai Univ.) |
In this study, we constructed a time-series learning model with the structure of Bi-LSTM for fixation eye movement data ... [more] |
HI2022-4
pp.33-38 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Approximation of Log-Aesthetic Curves using ODE-Net
Seiya Sakurai, Norimasa Yoshida (Nihon Univ.) |
In conventional deep learning, it is difficult to obtain the desired accuracy unless the time interval is constant. A me... [more] |
AIT2020-89
pp.135-136 |
| 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 |
| IST, ME, IEICE-BioX [detail] |
2016-06-21
11:10 |
Ishikawa |
Ishikawa-Shiko-Kinen-Bunka-Kouryukan |
Input Motion Discrimination Using Time-series Optical Flows for AR Typing Interface for Mobile Devices
Masae Okada (JWU), Masakazu Higuchi, Takashi Komuro (Saitama Univ.), Kayo Ogawa (JWU) |
Mobile devices with a small touch screen have a difficulty on entering characters. As the solution, AR Typing Interface ... [more] |
IST2016-35 ME2016-80
pp.51-55 |
| ME, IST |
2012-06-11
14:00 |
Ishikawa |
Kanazawa Univ. |
Input action classification using principal component analysis in a 3D gesture interface for mobile devices
Tomoko Muraiso, Kayo Ogawa (JWU), Takashi Komuro (Saitama Univ.) |
In this research we propose a new motion classification method using principal component analysis to improve operability... [more] |
IST2012-31 ME2012-82
pp.9-12 |