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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 60 [Previous]  /  [Next]  
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
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