Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MoNA, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS |
2016-05-27 17:10 |
Okinawa |
Okinawa Industry Support Center |
Prototyping of Brain-Computer Interface Game by Using a Simple EEG Recorder and an Immersive Head Mounted Display Horie Ryota, Tsutsumi Daisuke, Saeki Shunichi (SIT) MoNA2016-5 |
Game controllers using EEG-based brain-computer interface (BCI) have been expected. While many science fictions proposed... [more] |
MoNA2016-5 pp.235-236 |
PRMU, IE, MI, SIP |
2016-05-19 15:40 |
Aichi |
|
Neural Decoding of Code Modulated Visual Evoked Potentials by Spatio-Temporal Inverse Filtering for Brain Computer Interfaces Jun-ichi Sato, Yoshikazu Washizawa (UEC) SIP2016-13 IE2016-13 PRMU2016-13 MI2016-13 |
c-VEP has been investigated resently, and and applied to brain computer interfaces (BCIs). c-VEP BCI exhibits faster com... [more] |
SIP2016-13 IE2016-13 PRMU2016-13 MI2016-13 pp.65-70 |
SIP, EA, SP |
2015-03-03 09:00 |
Okinawa |
|
[Poster Presentation]
Reliability-based Automatic Repeat Request for Code Modulation Visual Evoked Potentials in Brain Computer Interfaces Jun-ichi Sato, Yoshikazu Washizawa (UEC) EA2014-97 SIP2014-138 SP2014-160 |
Code modulation visual evoked potential brain computer interface (c-VEP BCI) has been researched widely. The accuracy of... [more] |
EA2014-97 SIP2014-138 SP2014-160 pp.133-138 |
NLP |
2014-12-03 16:25 |
Tokyo |
Kyoto Univ. Tokyo Office |
BCI-based Adaptive-speed-control of Electric Wheelchairs Nobuaki Kobayashi, Masahiro Nakagawa (NUT) NLP2014-106 |
BCI (Brain-computer Interface) has been attracting attention as an interface to connect the brain to external devices. H... [more] |
NLP2014-106 pp.41-46 |
MBE, NC (Joint) |
2014-11-21 17:05 |
Miyagi |
Tohoku University |
Proposal and Implementation of Feature Detection and Control Method for Brain-Computer Interface Composed of a Smart Device and a Simple EEG Recorder Shunnichi Saeki, Ryota Horie (Shibaura Inst. of Tech.) MBE2014-66 NC2014-36 |
Brain-Computer Interfaces (BCIs) which consists of a simple EEG recorder has problems of a lower S/N ratio and limited n... [more] |
MBE2014-66 NC2014-36 pp.41-46(MBE), pp.57-62(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 |
CS, CAS, SIP |
2014-03-07 13:50 |
Osaka |
Osaka City University Media Center |
Auditory Brain-Computer Interface Using Selective Attention Tatsuhiko Osa, Toshihisa Tanaka (TUAT) CAS2013-130 SIP2013-176 CS2013-143 |
A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to ... [more] |
CAS2013-130 SIP2013-176 CS2013-143 pp.233-238 |
MBE |
2014-01-25 14:10 |
Saga |
Saga University |
Examination of asynchronous-type BCI using right or left index finger tapping imagery Taisuke Matsuda, Tomohiko Igasaki, Nobuki Murayama (Kumamoto Univ) MBE2013-113 |
We have studied Brain-Computer Interface (BCI) which operate a device using EEG. In a prior study, we found value of eve... [more] |
MBE2013-113 pp.93-96 |
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 13:55 |
Niigata |
Niigata University Ekinan-Campus "TOKIMATE" |
Speech Classification Using Brain Activity Signals Atsushi Nishimoto, Natsue Yoshimura, Koji Jimura (Tokyo Inst. of Tech./NCNP), Hiroyuki Kambara, Duk Shin (Tokyo Inst. of Tech.), Takashi Hanakawa (NCNP), Yasuharu Koike (Tokyo Inst. of Tech.) MBE2013-43 NC2013-29 |
Recently, Brain-Computer Interfaces (BCI) are used for handicapped individuals such as patients that have difficulty in ... [more] |
MBE2013-43 NC2013-29 pp.41-46 |
HIP |
2013-07-14 15:20 |
Niigata |
Niigata University of Internatilnal and Information Studies |
Examination of Brain-Computer Interface System using Event-Related Potential Induced by Tactile Stimuli Naoto Okada, Junichi Hori (Niigata Univ.) HIP2013-47 |
We investigated brain-computer interface using event-related potential generated by tactile stimuli in oddball paradigm.... [more] |
HIP2013-47 pp.73-78 |
BioX (2nd) |
2013-05-24 17:40 |
Toyama |
Toyama Prefectural University |
[Poster Presentation]
Brain-computer interface for cursor control using brain activity in the prefrontal Satoshi Sanno, Tadanobu Misawa, Shigeki Hirobayashi (Univ of Toyama) |
A brain-computer interface (BCI) reflects a user's intention using brain information as input and is expected to work as... [more] |
|
MBE, NC (Joint) |
2013-03-14 15:05 |
Tokyo |
Tamagawa University |
Classification of EEG Auditory Steady State Responses Using Alpha Hironao Namba, Takashi Nakamura, Takashi Matsumoto (Waseda Univ.) MBE2012-104 |
One method of Brain-Computer Interfaces is to use subject’s attention to auditory stimuli. Recognition accuracy, however... [more] |
MBE2012-104 pp.79-82 |
MVE, ITE-HI, HI-SIG-VR |
2012-06-26 11:35 |
Tokyo |
Sanjo Conference Hall |
Discrimination of Motor Imagery of Individual Finger with EEG Kazutoshi Yoshitake, Hideaki Touyama (Toyama Prefectural Univ) MVE2012-12 |
In recently years, the research of BCI(Brain-Computer Interface) has been more and more investigated. Motor imagery whic... [more] |
MVE2012-12 pp.13-16 |
CAS, CS, SIP |
2012-03-09 13:25 |
Niigata |
The University of Niigata |
Toward auditory brain-computer interfacing using speech stimuli Jun Tamura (TUAT), Yoshikazu Washizawa (UEC), Hiroshi Higashi, Naoki Morikawa, Toshihisa Tanaka (TUAT) CAS2011-157 SIP2011-177 CS2011-149 |
A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to ... [more] |
CAS2011-157 SIP2011-177 CS2011-149 pp.281-286 |
SIS |
2012-03-01 11:30 |
Tokyo |
Shibuya Satellite Class, Tokyo City Univ. |
Optimal Sensor Selection for Single-trial P300 Speller Keisuke Tawada, Yasue Mitsukura, Nozomu Hamada (Keio Univ.) SIS2011-57 |
Brain-computer interface (BCI) is a device that uses brain signals to control. By using BCI, people with motor disorder ... [more] |
SIS2011-57 pp.21-24 |
NLP |
2011-12-15 13:00 |
Aomori |
Iwaki Hall AB, Hirosaki Univ. |
Analysis of NIRS signal during complex finger tapping task by variance plots Kentaro Murasugi, Masaharu Adachi (TDU) NLP2011-117 |
NIRS is a method for brain activity measurement whose constraints during the measurement are less than other conventiona... [more] |
NLP2011-117 pp.1-6 |
NC, MBE (Joint) |
2011-03-07 11:05 |
Tokyo |
Tamagawa University |
Performance Evaluation of Reliability-based Selective Repeat Automatic Repeat reQuest Applied to P300 Speller by Online Experiment Yusuke Kaneda, Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2010-133 |
The P300 speller, one of the brain-computer interfaces, allows users to spell letters just by thoughts. It has an interf... [more] |
NC2010-133 pp.35-40 |
NC, MBE (Joint) |
2011-03-08 15:25 |
Tokyo |
Tamagawa University |
Sequential Learning of EEG:SSVEP Four-class Classification:Sequential Monte Carlo Implemention Shu Shigezumi, Hideyuki Hara (Waseda Univ.), Atsushi Takemoto (Kyoto Univ.), Yumi Dobashi (Waseda Univ.), Katsuki Nakamura (Kyoto Univ.), Takashi Matsumoto (Waseda Univ.) MBE2010-125 |
An attempt was made to perform a sequential learning of SSVEP four class classification problem. As opposed to the batch... [more] |
MBE2010-125 pp.125-130 |
NC, MBE [detail] |
2010-12-19 15:20 |
Aichi |
Nagoya Univ. |
Examination of brain-computer interface by blinking photic stimulus with different phase. Kyohei Koizumi, Naoaki Itakura, Kazuyuki Mito (Univ. of Electro-Comm.) MBE2010-63 NC2010-74 |
Brain-computer interfaces (BCIs) using visual evoked potentials (VEPs) induced by blinking photic stimuli have been rese... [more] |
MBE2010-63 NC2010-74 pp.47-50 |