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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Time series classification of cleaning task motion using acceleration and angular velocity. Yuya Itagaki, Minami Ishihara, Yuukou Horita (Toyama Univ.) |
In recent years, wearable devices have been attracting attention as they have become smaller and lighter, reducing the b... [more] | |
| AP | 2023-10-19 10:00 |
Iwate | Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Preliminary Study of Angle-of-Arrival based Indoor Localization Methods using Distributed MIMO Sensors Koularp Thongsavanh, Togo Ikegami, Minseok Kim (Niigata Univ.)  AP2023-91 |
In recent years, the proliferation of smart devices, the Internet of Things (IoT), and the increasing need for seamless ... [more] | AP2023-91 pp.19-24 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:15 |
Online | Online | Classification of User's Device Possession Position and Behavior by Using Deep Metric Learning Rui Kitahara, Lifeng Zhang (Kyutech) ITS2021-40 IE2021-49 |
With the widespread use of smartphones, there have been efforts to classify human behavior using built-in sensors. Howev... [more] | ITS2021-40 IE2021-49 pp.91-96 |
| RECONF | 2020-05-29 10:25 |
Online | Online | FPGA-based human motion estimation based on amalgamated data from multiple sensors Xin Du, Yutaka Shinkai, Mizuki Itoh, Yoshiki Yamaguchi (Tsukuba Univ.) RECONF2020-12 |
This study proposes an FPGA-based system for identifying and estimating human motion by detecting data from sensors in d... [more] | RECONF2020-12 pp.65-70 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Invited Lecture]
Wearable Body Motion Classification System using Low-Cost Wireless Sensor Network Masahiro Mitta, Minseok Kim (Niigata Univ.) |
In this work, we developed a real-time motion identification system using the radio channel characteristics of wearable ... [more] | |
| SANE | 2019-10-31 - 2019-11-01 |
Overseas | KOREA (Jeju) | CNN-Based Radar-Video Fusion for Object Classification Chih-Hsuan Huang, Dan-Dan Yao, Kun-Shan Chen, Chiung-Shen Ku (Xuchang Univ.), Zhao-Liang Li (CNRS), Gen-yuan Du (Xuchang Univ.) |
An object classification system based on sensor fusion with millimeter-wave (MMW) radar and camera is investigated. Rece... [more] | |
| WIT, SP | 2019-10-26 15:45 |
Kagoshima | Daiichi Institute of Technology | Examination of the evaluation method of upper limb posture by seat pressure distribution measuring device Takahiro Takeda (DIT) SP2019-23 WIT2019-22 |
It is said that the behavior in the sitting position accounts for more than half of the behavioral ratio of the awakenin... [more] | SP2019-23 WIT2019-22 pp.33-38 |
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-21 11:00 |
Osaka | A method for gaze correction between video conference participants that synthesizes eye areas image within the perceptual range of eye contact Takuya Inoue, Tomokazu Takahashi, Takatsugu Hirayama, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Takayuki Kurozumi, Kunio Kashino (NTT) PRMU2015-119 MVE2015-41 |
Recently, the spread of Web cameras has facilitated video-conferencing. Since a Web camera is usually located outside th... [more] | PRMU2015-119 MVE2015-41 pp.53-58 |
|
| MoNA, ASN, IPSJ-MBL, IPSJ-UBI (Joint) [detail] |
2015-03-02 13:45 |
Tokyo | Shibaura Institute of Technology(Toyosu Campus) | A classification of environmental sensor using a time-series data analysis Yukio Kikuya (NTT) ASN2014-161 |
This report is proposed the technology that can classify environmental sensors semi-automatically using time-series data... [more] | ASN2014-161 pp.103-108 |
| HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki | Miyazaki Seagai resort | Proposal and assessment experiment of action classification using distinction analysis method Shunta Ichikawa, Minghui Liu, Shigenori Ioroi, Hiroshi Tanaka (KAIT) |
This paper presents the method to classify the action in the room by using acceleration sensor. The seven actions such a... [more] | |
| HIP | 2009-06-15 11:40 |
Hokkaido | Hokkaido University | Shape Classification in Rotation Manipulation by Multi-Jointed Hand Equipped Distributed Tactile Sensor Hiroyuki Nakamoto (Hyogo Pref. Inst. of Tech.), Futoshi Kobayashi, Fumio Kojima (Kobe Univ.), Nobuaki Imamura (Hiroshima Int. Univ.), Hidenori Shirasawa (the Adv Materials Processing Inst Kinki Japan) HIP2009-52 |
We propose a shape classification method in continuous rotation manipulation by a multi-fingered robot hand. Our robot h... [more] | HIP2009-52 pp.23-26 |
| IE | 2007-03-19 14:55 |
Aichi | Action Classification and Video Retrieval in a Ubiquitous home using Ubiquitous Sensors and Wearable Sensors Hiroyuki Mano, Chaminda de silva, Toshihiko Yamasaki, Kiyoharu Aizawa (Tokyo Univ.) |
This paper describes human action classification in a Ubiquitous Home using ubiquitous sensors and wearable sensors. In ... [more] | IE2006-286 pp.65-70 |
|
| PRMU, MI | 2006-05-26 11:10 |
Aichi | Aichi Prefectural University | Evaluation of data collection parameters on the daily activity classification with accelerometers Katsuhiro Tabuchi (ATR(Osaka Univ.)), Futoshi Naya, Ren Ohmura, Haruo Noma, Kiyoshi Kogure (ATR), Fumio Kishino (Osaka Univ.) |
In order to improve the daily activity classification with accelerometers, we have evaluated how the daily activity cla... [more] | PRMU2006-27 MI2006-27 pp.43-48 |
| MBE, NC (Joint) |
2005-12-09 16:10 |
Aichi | A study of estimation of actions using a three-axis acceleration sensor Akimitsu Akahori, Yoshifumi Kishimoto, Koji Oguri (APU) |
Trend in study of movement monitoring is combining of many sensors for high accuracy. But in modern society is described... [more] | MBE2005-104 pp.49-52 |
|
| NLP | 2004-11-26 16:45 |
Fukuoka | Kyushu Inst. Tech. | * Takaya Miyano, , Susumu Sugiyama (Ritsumeikan Univ.) |
The present work is concerned with a novel approach for sensor data mining based on collective synchronization. The basi... [more] | NLP2004-74 pp.41-43 |
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