| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HCS | 2022-10-27 14:20 |
Online | Online | Do mood states contribute to facial expression perception? Qi Fan (Waseda Univ.), Kyoko Ito (Kyoto Tachibana Univ./Osaka Univ.), Fusako Koshikawa (Waseda Univ.)  HCS2022-51 |
This study intends to investigate how mood states affect facial expression perception. The study examined how depression... [more] | HCS2022-51 pp.18-23 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Emotion discrimination model for learning spatio-temporal frequency information of EEG using SNN Rio Kanda, Chika Sugimoto (Yokohama National Univ.) |
In order to achieve high accuracy in emotion recognition based on EEG, it is considered effective to simultaneously lear... [more] | |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Motion Identification of Physical Exertion using Hidden Markov Model with Combined Information of Skeletal Structure and Range Data Ryohei Yamazaki, Shigeru Akamatsu (Hosei Univ.) |
The purpose of this study is to verify the usefulness of using features that combine skeletal information and distance i... [more] | |
| 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] | |
| RCC, MICT | 2019-05-29 15:30 |
Tokyo | TOKYO BIG SIGHT | [Poster Presentation]
Development of Real-time Body Motion Identification System using Radio Channel Characteristics in Wireless BAN Yuki Ichikawa, Masahiro Mitta, Minseok Kim (Niigata Univ.) RCC2019-7 MICT2019-7 |
In this article, a real-time motion identification system is presented which has been developed based on the knowledge o... [more] | RCC2019-7 MICT2019-7 pp.29-33 |
| SIP, MI, IE | 2019-05-24 09:00 |
Aichi | Hierarchical Personal Identification in Short and Long Distance using Blink Motion Features Mariko Nakano, Ritsuko Tokunaga, Yoko Uchida, Daisuke Sugimura (Tsuda Univ.) SIP2019-7 IE2019-7 MI2019-7 |
We propose a method for person identification using blink motion features. Previous methods are difficult to achieve a p... [more] | SIP2019-7 IE2019-7 MI2019-7 pp.29-32 |
|
| WIT | 2018-06-09 15:30 |
Kanagawa | Identification of Tongue Motion and Silent Vowel based on EMG Tadahiro Oyama (KCCT), Taisei Watanabe (NAIST) WIT2018-4 |
In this paper, we propose a method to estimate the tongue motion direction and silent speech based on convolutional neur... [more] | WIT2018-4 pp.17-20 |
|
| RCC, MICT | 2018-05-24 13:00 |
Tokyo | Tokyo Big Sight | [Poster Presentation]
Investigation of Feature Reduction for Body Motion Identification using Radio Channel Characteristics in Wireless BAN Yuki Ichikawa, Minseok Kim (Niigata Univ.) RCC2018-4 MICT2018-4 |
In this article, the reduction of the features used for human motion classification using decision tree machine learning... [more] | RCC2018-4 MICT2018-4 pp.17-20 |
| MSS, NLP (Joint) |
2018-03-12 13:10 |
Osaka | Design of Kalman Filter with Pseudo-measurements in Motion Control Seita Yagi, Toshimitsu Ushio (Osaka Univ.), Kohei Fujita, Teruaki Tanaka (Mitsubishi Electric) MSS2017-77 |
In this report, we consider a motion control with unknown system parameters. We design a Kalman filter with pseudo-meas... [more] |
MSS2017-77 pp.1-4 |
|
| ASN, MoNA, MICT (Joint) |
2017-01-20 14:15 |
Oita | An Investigation of Body Motion Identification Method using Radio Channel Characteristics for BAN Context-Aware Communications Yuki Ichikawa, Minseok Kim (Niigata Univ.) MICT2016-74 |
In this article, human motion classification to realize context-aware BAN has been empirically investigated. We develope... [more] | MICT2016-74 pp.53-56 |
|
| MoNA, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS | 2016-05-26 14:25 |
Okinawa | Okinawa Industry Support Center | A Study on Player Identification in Sport Videos Using Wearable Sensors Takashi Hamatani, Yudai Sakaguchi, Akira Uchiyama, Teruo Higashino (Osaka Univ.) MoNA2016-2 |
In this technical report, we propose a method for identifying sports players on videos. Our method basically compares p... [more] |
MoNA2016-2 pp.75-80 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-23 15:00 |
Hokkaido | Hokkaido Univ. | Depth Video Compression Using AEC Kazuki Itou (Chuo Univ.), Gene Cheung (NII), Akira Kubota (Chuo Univ.) ITS2014-58 IE2014-85 |
We propose a method that optimizes coding rate and distortion of depth map coding via two techniques - arithmetic edge c... [more] | ITS2014-58 IE2014-85 pp.213-216 |
| AP | 2014-03-11 10:55 |
Fukushima | Koriyama City Rodo Fukushi Kaikan | Characteristic Evaluation of Human Motion Sensing by Range and Doppler Frequency Estimation Shinya Fukushima, Hiroyoshi Yamada, Hirokazu Kobayashi, Yoshio Yamaguchi (Niigata Univ.) AP2013-193 |
Sensing technology using radio wave has been attracting attention for office/home security and surveillance. Detection ... [more] |
AP2013-193 pp.45-50 |
| NC | 2011-10-20 16:20 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Real-time 8-directional motion detection and aperture-problem identification by GPU implementation of V1 cell model Akitoshi Hanazawa (Kyutech) NC2011-70 |
We attempted real-time implementation of spatiotemporal energy model by parallel image processing on GPU (Graphic Proces... [more] | NC2011-70 pp.149-154 |
| CQ, MVE, IE (Joint) [detail] |
2011-03-07 15:00 |
Nagasaki | Yasuragi IOUJIMA | Extraction and Recognition of Repetitive Cooking Motion Segments in Cooking Video by Periodicity Analysis of CHLAC Feature Taku Kuhara, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) IE2010-156 MVE2010-144 |
This paper proposes a method for extracting segments that contain repetitive cooking motions such as “cutting” and “mixi... [more] | IE2010-156 MVE2010-144 pp.61-66 |
| ICD | 2009-12-15 10:00 |
Shizuoka | Shizuoka University (Hamamatsu) | [Invited Talk]
A New VLSI System Architecture Mimicking the Processing in the Mind Tadashi Shibata (Univ. of Tokyo.) ICD2009-95 |
The performance of a today’s computer is really marvelous. It can carry out a prodigious amount of numerical calculation... [more] | ICD2009-95 pp.101-109 |
| PRMU | 2009-01-12 13:30 |
Tokyo | NII | An Estimation from Facial Expression based on Situational Information. Shigekazu Chida, Jun Hakura, Masaki Kurematsu, Hamido Fujita (Iwate Prefectural Univ.) PRMU2008-198 |
This paper introduces a system that estimate emotion of users when interacting with a system to achieve better interacti... [more] | PRMU2008-198 pp.55-58 |
| PRMU | 2008-12-18 14:20 |
Kumamoto | Kumamoto Univ. | Study of Gait Identification Based on a Tensor Decomposition Approach Takayuki Hori, Jun Ohya (Waseda Univ.), Jun Kurumisawa (Chiba Univ. of Com.) PRMU2008-162 |
This paper proposes a Tensor Decomposition Based method for personal identification from silhouette image on time sequen... [more] | PRMU2008-162 pp.87-92 |
| CS, SIP, CAS | 2008-03-06 12:55 |
Yamaguchi | Yamaguchi University | Blind Super-Resolution Based on Simultaneous Registration and Reconstruction Osama A. Omer, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) CAS2007-117 SIP2007-192 CS2007-82 |
Super-resolution is an approach to obtain high-resolution (HR) image(s) from a set of low-resolution images. HR image r... [more] |
CAS2007-117 SIP2007-192 CS2007-82 pp.51-56 |
| PRMU, MI | 2006-05-25 16:25 |
Aichi | Aichi Prefectural University | [Special Talk]
Human image processing technologies and its applications Osamu Hori (Toshiba) |
This paper describes human image processing technologies such as human face detection, tracking and identification as we... [more] | PRMU2006-19 MI2006-19 pp.107-112 |
[Return to Top Page]