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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 62 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
MBE, NC
(Joint)
2010-11-18
18:10
Miyagi Tohoku University Comparison of Precision in Posterior Probability Estimation for Classification of Electroencephalogram -- Comparision of Support Vector Machine and Relevance Vector Machine --
Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2010-61
The posterior probability in classification is useful information, which can be used for the rejection of uncertain clas... [more] NC2010-61
pp.47-52
MBE, NC
(Joint)
2010-11-19
09:00
Miyagi Tohoku University Generation of spatial filter by ICA for detecting motor-related oscillatory EEG
Hiroki Ichimura (Tohoku Univ.), Shin'ichiro Kanoh (Tohoku Inst. Tech.), Ko-ichiro Miyamoto, Tatsuo Yoshinobu (Tohoku Univ.) NC2010-62
To detect the imagined limb from EEG related to the motor imagery for the use in BCI, the spatial filter using neighbori... [more] NC2010-62
pp.53-58
MBE, NC
(Joint)
2010-11-19
09:25
Miyagi Tohoku University A BCI system that detects visual event-related potentials
Raita Fujimaki (Tohoku Univ.), Shin'ichiro Kanoh (Tohoku Inst. Tech.), Ko-ichiro Miyamoto, Tatsuo Yoshinobu (Tohoku Univ.) NC2010-63
A BCI (brain-computer interface) system that detects visual ERPs (event-related potentials) to control a cursor on the c... [more] NC2010-63
pp.59-64
MBE, NC
(Joint)
2010-11-19
10:15
Miyagi Tohoku University NIRS-measurement of brain activity during motor imagery of irregular finger tappings
Kentaro Murasugi, Masako Sugai, Masaharu Adachi (Tokyo Denki Univ.) NC2010-65
In a brain activity measurement performing simple hand movement and its imagery by NIRS,it is known that there is a feeb... [more] NC2010-65
pp.71-76
MBE, NC
(Joint)
2010-11-19
10:50
Miyagi Tohoku University Examination of brain-computer interface with multi-possible-choices by single 10Hz blinking photic stimulus using a transient VEP analysis
Nao Yamanishi, Naoaki Itakura, Kazuyuki Mito (UEC) MBE2010-44
Generally, a brain-computer interface (BCI) using a visual evoked potential (VEP) has been realized by means of discrimi... [more] MBE2010-44
pp.47-50
MBE 2010-10-14
14:45
Osaka Osaka Electro-Communication University Sequential Error Rate Evaluation of EEG:SSVEP Binary Classification Problem -- Bayesian Sequential Learning with Sequential Monte Carlo method --
Hideyuki Hara (Waseda Univ.), Atsushi Takemoto (Kyoto Univ.), Yumi Dobashi (Waseda Univ.), Katsuki Nakamura (Kyoto Univ.), Takashi Matsumoto (Waseda Univ.) MBE2010-31
An attempt was made to evaluate the \textit{Sequential Error Rate} (SER) of an SSVEP classification problem with a Bayes... [more] MBE2010-31
pp.17-22
WIT 2010-08-05
15:15
Tokyo NHK Sci. Tech. Res. Labs. [Invited Talk] Who are the users of brain-computer interface?
Koichi Mori, Minae Okada, Sachiko Okada, Toshinori Maruoka (RI of NRCD) WIT2010-22
Owing to the progress in medicine, more and more people with severe disabilities choose to live in their own home even w... [more] WIT2010-22
pp.25-30
NC, MBE
(Joint)
2010-03-10
15:00
Tokyo Tamagawa University A Proposal of Boosting Algorithm for Brain-Computer Interface Using Probabilistic Data Interpolation
Isao Hayashi, Shinji Tsuruse (Kansai Univ.) NC2009-139
Brain-computer interface(BCI) and brain-machine interface(BMI) have been come into the research limelight.The outer comp... [more] NC2009-139
pp.303-308
NC, MBE
(Joint)
2009-11-12
11:50
Miyagi Tohoku Univ. A Study on Application of Reliability-based Automatic Repeat reQuest to P300 speller
Yusuke Kaneda, Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2009-53
Reliability-based automatic repeat request (RB-ARQ) is an error control method designed for a Brain Computer Interface (... [more] NC2009-53
pp.19-22
NC, MBE
(Joint)
2009-11-12
17:10
Miyagi Tohoku Univ. Recognition of Brain activity using Fuzzy Reasoning for NIRS-based BCI
Hiroki Saika, Naoki Miura, Shuoyu Wang (Kochi Univ. of Tech.) NC2009-60
In order to develop a near-infrared spectroscopy (NIRS) based brain-computer interface (BCI) system, we proposed a metho... [more] NC2009-60
pp.55-58
NC, MBE
(Joint)
2009-11-12
17:35
Miyagi Tohoku Univ. Effect of NIRS-based neurofeedback on brain activity during motor imagery: Evaluation by NIRS measurement
Kei Iizuka, Shin'ichiro Kanoh, Ko-ichiro Miyamoto, Tatsuo Yoshinobu, Ryuta Kawashima (Tohoku Univ.) NC2009-61
The authors have evaluated the effect of neurofeedback training for subjects on the brain activity to be used in the bra... [more] NC2009-61
pp.59-64
NC, MBE
(Joint)
2009-11-12
18:00
Miyagi Tohoku Univ. Effect of NIRS-based neurofeedback on brain activity during motor imagery: Evaluation by fMRI measurement
I Putu Susila, Shin'ichiro Kanoh, Ko-ichiro Miyamoto, Tatsuo Yoshinobu, Ryuta Kawashima (Tohoku Univ.) NC2009-62
In this study, the effect of neurofeedback training on brain activity during motor imagery was evaluated by functional m... [more] NC2009-62
pp.65-70
NC, MBE
(Joint)
2009-03-13
11:00
Tokyo Tamagawa Univ. A Brain-Computer Interface (BCI) System Based on Motor Imagery by NIRS Measurement -- System Development and Online Feedback Training --
Shin'ichiro Kanoh, Yu-mi Murayama, Ko-ichiro Miyamoto, Tatsuo Yoshinobu, Ryuta Kawashima (Tohoku Univ.) NC2008-167
A brain-computer interface (BCI) which detected motor imagery from cerebrum blood flow measured by NIRS (near-infrared s... [more] NC2008-167
pp.375-380
HIP 2008-11-07
- 2008-11-11
Ishikawa Kanazawa Institute of Technology, Yamahiro Hot Spring Detection of Visuo-Spatial Attention for a New Channel of Brain-Computer Interface
Junya Fujisawa, Hideaki Touyama, Michitaka Hirose (Tokyo Univ.) HIP2008-91
In this paper, alpha band modulation during visuo-spatial attention without flickering visual stimuli was focused. Visua... [more] HIP2008-91
pp.17-20
NC 2008-10-24
11:15
Miyagi Tohoku Univ. Development of a Brain-Computer Interface using Selective Auditory Evoked Hemodynamic Response
Hiroki Saika, Naoki Miura (KUT), Ryuta Kawashima (Tohoku Univ.), Shuoyu Wang (KUT) NC2008-52
In order to develop a Brain-Computer Interface (BCI) based on auditory evoked hemodynamic response, we measured brain ac... [more] NC2008-52
pp.85-88
MBE 2008-09-25
11:20
Nagano Faculty of Engineering, Shinshu University A MRCP-Based Communication-Assisted Technology for Clients with Severe Neuromuscular Diseases
Makoto Chishima, Mai Miyata (Shinshu Univ.), Atsushi Nara (University of Tokyo Hospital), Kazunori Itoh (Shinshu Univ.) MBE2008-31
The utilization of BCI for the severe physical limitation persons will assist them in their communication and enable the... [more] MBE2008-31
pp.25-30
NC, MBE
(Joint)
2008-03-12
16:30
Tokyo Tamagawa Univ Discrimination of a moving limb by near-infrared spectroscopy
Wataru Niide, Tadashi Tsubone, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2007-144
Brain-computer interfaces (BCI) is expected as a tool for communication for paralyzed patients.
This paper proposes a m... [more]
NC2007-144
pp.191-196
MBE 2008-01-25
15:55
Fukuoka Kyushu Univ. [Poster Presentation] Analysis of EEG during Upper Limb Motion and Motor Imagery
Yoshihiko Kiyota, Tomohiko Igasaki, Yuki Hayashida, Nobuki Murayama (Kumamoto Univ.) MBE2007-97
Recently, many laboratories explore the EEG-based communication for amyotrophic lateral scherosis (ALS). The goal of the... [more] MBE2007-97
pp.71-74
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