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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2021-03-04 14:25 |
Online | Online | Leveraging Human Pose Estimation Model for Sports Video Classification Soichiro Sato, Masaki Aono (TUT)  PRMU2020-76 |
In this paper, we propose a motion classification method of sports videos based on a posture estimation model.Specifical... [more] | PRMU2020-76 pp.41-46 |
| 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 |
| EMCJ, MICT (Joint) |
2020-03-13 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Cancelled but technical report was issued) |
Human motion classification by convolutional neural network using signal strength of WBAN Shintaro Sano, Aoyagi Takahiro (TokyoTech) MICT2019-53 |
In this report, human motion classification by convolutional neural networks (CNNs) using the signal strength of WBANs (W... [more] | MICT2019-53 pp.5-9 |
| RISING (2nd) |
2019-11-26 14:10 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Invited Lecture]
Reliable and Low-Energy Wireless Body Area Network by Machine Learning
-- Transmission Power Control based on Human Motion Classification using Features Automatically Extracted From Signal Strength -- Shintaro Sano, Takahiro Aoyagi (Tokyo Tech) |
In wireless body area networks (WBANs), both high reliability and low power consumption are required. Our research group... [more] | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 11:15 |
Tokyo | [Short Paper]
Research on Person Recognition from Human Activity Takayuki Yoshida, Basabi Chakraborty (Iwate Pref. Univ.) PRMU2017-57 IBISML2017-29 |
Currently, motion sensors are equipped as standard equipment in mobile terminals, list band type lifelog devices have al... [more] | PRMU2017-57 IBISML2017-29 pp.159-160 |
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| PRMU, MI, IE, SIP | 2015-05-14 14:00 |
Mie | Evaluation of a physical condition from gait motions using a depth sensor Toma Shimoyama, Tsuyoshi Higashiguchi, Norimichi Ukita, Masayuki Kanbara (NAIST), Norihiro Hagita (NAIST/ATR) SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6 |
This paper proposes a physical motion evaluation system based on human pose sequences estimated by a depth sensor. While... [more] | SIP2015-6 IE2015-6 PRMU2015-6 MI2015-6 pp.29-34 |
|
| MBE, NC (Joint) |
2014-11-21 14:20 |
Miyagi | Tohoku University | A Basic Study for Quantification and Application of Affective State Using Electroencephalography Osamu Koga, Natsue Yoshimura, Abdelkader Nasreddine Belkacem, Duk Shin, Hiroyuki Kambara, Yasuharu Koike (Tokyo Inst. of Tech) MBE2014-60 NC2014-30 |
Concerns about the usability of human-computer interfaces have been increasing in recent years. Although electroencepha... [more] | MBE2014-60 NC2014-30 pp.11-15(MBE), pp.27-31(NC) |
| PRMU | 2011-02-18 13:00 |
Saitama | Human motion recognition in crowded surveillance video sequences based on key-point trajectories Masaki Takahashi, Mahito Fujii, Masahide Naemura (NHKSTRL), Shin'ichi Satoh (NII) PRMU2010-225 |
There is a need for systems that can automatically detect specific human motions in a surveillance video. However, almos... [more] | PRMU2010-225 pp.111-116 |
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