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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MICT | 2016-11-04 15:50 |
Osaka | Osaka International House Foundation | EEG Detection by Remote Sensing Makoto Koike (MK Microwave Researh)  MICT2016-54 |
Typically, EEG is measured through electrodes on the skin of the head of a subject. In contrast, I report herein the de... [more] | MICT2016-54 pp.35-42 |
| SP | 2016-10-27 10:30 |
Shizuoka | Shizuoka University. | Microwave auditory effect applied in the interface of spoken dialogue system Makoto Koike (MK Microwave Researh) SP2016-41 |
A spoken dialogue system as an automaton transforms an input message into an output message. Herein I propose wireless,... [more] | SP2016-41 pp.1-8 |
| MBE | 2016-06-17 10:25 |
Hokkaido | Hokkaido University | Linear and non-linear classification of electroencephalographic activity during hand motor tasks Sota Ikegami, Yasunari Hashimoto (Kitami Inst. of Tech) MBE2016-10 |
The purpose of this study is searchingan appropriate classifier for motor-related cortical activity-based BMI for stroll... [more] | MBE2016-10 pp.5-10 |
| MBE, NC (Joint) |
2016-05-21 13:50 |
Toyama | University of Toyama | High-Sensitive Imaging of Motor Cortex Activity Using Cortical Current Source Estimation Shuka Shibusawa, Shohei Tsuchimoto, Shoko Kasuga, Kenji Kato (Keio Univ.), Emi Yamada, Hiroki Ebata (Saiseikai), Meigen Liu, Junichi Ushiba (Keio Univ.) NC2016-3 |
Electroencephalography (EEG) is often used for Brain-Machine Interface (BMI) rehabilitation, which aims to restoring mo... [more] | NC2016-3 pp.11-16 |
| ASN | 2016-05-12 14:10 |
Tokyo | [Invited Lecture]
Brain Machine Interface to Support Activities of Daily Living Takayuki Suyama (ATR) ASN2016-5 |
For supporting elderly and handicapped people to become self-reliant in daily-life environments such as home and clinic,... [more] | ASN2016-5 pp.23-28 |
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| NC, MBE | 2015-03-17 10:00 |
Tokyo | Tamagawa University | Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex Yasuhiko Nakanishi (Tokyo Tech), Takufumi Yanagisawa (Osaka Univ), Duk Shin, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Tech), Ryohei Fukuma (ATR), Haruhiko Kishima, Masayuki Hirata (Osaka Univ), Yasuharu Koike (Tokyo Tech) MBE2014-151 NC2014-102 |
Brain-machine interface technology has a possibility to be applied to practical neuroprosthesis for disabled persons. Fo... [more] | MBE2014-151 NC2014-102 pp.195-198 |
| SIP, EA, SP | 2015-03-03 09:00 |
Okinawa | [Poster Presentation]
Asynchronous brain-computer interfacing using canonical correlation analysis in phase space Kaori Suefusa, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2014-100 SIP2014-141 SP2014-163 |
Brain--computer interfaces (BCIs) can be categorized into two types by its operational protocol: synchronous BCI and asy... [more] | EA2014-100 SIP2014-141 SP2014-163 pp.151-156 |
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| SP | 2015-01-22 12:30 |
Gifu | Juroku Plaza | [Invited Talk]
Neural decoding of self-motion perception Michiteru Kitazaki (Toyohashi Univ. of Tech.) SP2014-130 |
Human perceive their self-motion from visual information or optic flow. I review self-motion perception from optic flow,... [more] | SP2014-130 pp.19-23 |
| 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) |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern Alessandro Balzi (PoliMi), Florian Yger, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-40 |
Non-stationarity is an important issue for practical applications of machine learning methods. This issue particularly a... [more] | IBISML2014-40 pp.41-48 |
| NC, MBE (Joint) |
2013-11-22 13:50 |
Miyagi | Tohoku University | Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis Tomoki Shiratori, Hironao Namba, Takashi Matsumoto, Atsushi Ishiyama (Waseda Univ.) NC2013-48 |
We attempted to use signal separation algorithm Stationary Subspace Analysis (SSA) for classification of EEG steady-stat... [more] | NC2013-48 pp.13-16 |
| NC, MBE | 2013-09-24 17:00 |
Niigata | Niigata University Ekinan-Campus "TOKIMATE" | [Special Talk]
Electrocorticography: brain surface recording of population neural activity Isao Hasegawa (Niigata Univ.) MBE2013-49 NC2013-35 |
We developed a flexible mesh probe for electrocorticography (ECoG), enabling simultaneous microelectrode penetration for... [more] | MBE2013-49 NC2013-35 pp.73-75 |
| MBE | 2013-06-21 11:45 |
Hokkaido | Hokkaido University | Optimization of EEG feature selection using electrical stimulation of muscle Masato Sasaki, Kenta Nakamura, Yuki Temma, Shun Matsumoto (Kitami Inst. of Tech.), Tetsuo Ota (Asahikawa Med. Univ), Yasunari Hashimoto (Kitami Inst. of Tech.) MBE2013-20 |
The integration of brain-machine interfaces (brain-computer interfaces) into rehabilitation settings is a promising new ... [more] | MBE2013-20 pp.27-31 |
| ET | 2013-05-26 13:40 |
Wakayama | Wakayama University | Electroencephalogram Frequency Analysis on Pseudo-Haptic for Skill Learning Keijiro Sakagami, Yuki Seto, Shumpei Ako, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki (Wakayama Univ.) ET2013-8 |
This paper describes the brain states of haptic and pseudo-haptic recognition in the skill learning supporting system. I... [more] | ET2013-8 pp.41-44 |
| MBE, NC (Joint) |
2013-03-14 15:55 |
Tokyo | Tamagawa University | An ultra multi-channel neural recording system for Brain-Machine Interface utilizing UWB technology for wireless data transmission Hiroshi Ando, Kenichi Takizawa (NICT), Takeshi Yoshida (Hiroshima Univ.), Kojiro Matsushita, Masayuki Hirata, Toshiki Yoshimine (Osaka Univ.), Takafumi Suzuki (NICT) MBE2012-106 |
To realize a low-invasive and high accuracy BMI (Brain-machine interface) system, we have developed a fully- implantable... [more] | MBE2012-106 pp.89-92 |
| SIP, RCS | 2013-02-01 13:50 |
Hiroshima | Viewport-Kure-Hotel (Kure) | EEG Classification With Weighted Samples by Joint Tensor Diagonalization Naoki Tomida, Hiroshi Higashi, Toshihisa Tanaka (TUAT) SIP2012-107 RCS2012-264 |
We present a novel method based on joint tensor diagonalization for estimating the covariance matrix of EEG data during ... [more] | SIP2012-107 RCS2012-264 pp.153-158 |
| MBE | 2012-06-22 15:00 |
Hokkaido | Hokkaido University | Spectral analysis of electroencephalogram in focal hand dystonia Yasunari Hashimoto (Kitami Inst. of Tech.), Tetsuo Ota (Asahikawa Med. Univ.) MBE2012-22 |
Dystonia is a disorder of movement characterized by involuntary, sustained muscle contractions, frequently causing twist... [more] | MBE2012-22 pp.47-50 |
| ICD | 2012-03-26 13:00 |
Osaka | Osaka Univ. | [Invited Talk]
Brain science and Brain machine interface Mitsuo Kawato (ATR) ICD2011-148 |
Brain science and neuroscience are rapidly growing scientific fields where researchers try to understand information pro... [more] | ICD2011-148 pp.19-24 |
| ICD | 2012-03-26 14:50 |
Osaka | Osaka Univ. | [Invited Talk]
data transmission systems for a neural recording chips Takeshi Yoshida (Hiroshima Univ.), Masahiro Ono (A-R-Tec), Hiroshi Ando (Hiroshima Univ.), Yoshitaka Murasaka, Atsushi Iwata (A-R-Tec), Kojiro Matsushita, Masayuki Hirata (Osaka Univ.), Takafumi Suzuki (The University of Tokyo) ICD2011-150 |
To improve the Quality of Life (QoL) of the severely disabled people, the brain-machine interface (BMI) and multi-channe... [more] | ICD2011-150 pp.29-34 |
| ICD | 2011-12-15 16:10 |
Osaka | [Poster Presentation]
Analysis of the Neural Spike Recording Amplifier with Telescopic OPA Chisato Takatsuki, Takeshi Yoshida (Hiroshima Univ.) ICD2011-112 |
To improve the Quality of Life (QoL) of the severely disabled people, the brain-machine interface (BMI) and multi-channe... [more] | ICD2011-112 pp.63-65 |
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