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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-21
09:25
Online Online Development of BCI based on Steady-State Somatosensory Evoked Potential
Kenji Abe, Masaki Kawakatsu (TDU) NLP2021-74 MICT2021-49 MBE2021-35
The Brain-Computer-Interface (BCI) is notable technology. The main theme of BCI study is that using motor imagery. Howev... [more] NLP2021-74 MICT2021-49 MBE2021-35
pp.21-24
NC, MBE
(Joint)
2021-11-26
13:55
Online Online Examination of interface using steady-state visual evoked potential by color-reversed live-action image
Kenji Matsunaga, Junichi Hori (Niigata Univ) MBE2021-27
The purpose of this study was to realize a brain-computer interface (BCI) of steady-state visual evoked potential (SSVEP... [more] MBE2021-27
pp.5-8
MBE, BioX 2017-07-29
11:15
Tokushima Tokushima University Toward the practical use of the brain-computer interface system using steady-state visual evoked potential
Hirokazu Sadahisa, Kiyohisa Natsume (KIT) BioX2017-14 MBE2017-23
An electroencephalography (EEG) is considered as a human interface in the near future. However, the practical use of EEG... [more] BioX2017-14 MBE2017-23
pp.25-30
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
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
09:50
Hokkaido Hokkaido University Methods for selecting user-dipendent parameters in self-paced brain--computer interfaces
Kaori Suefusa, Keita Shimpo, Toshihisa Tanaka (TUAT) CAS2014-34 VLD2014-43 SIP2014-55 MSS2014-34 SIS2014-34
Brain--computer interfaces (BCIs) control a device by capturing human brain activity.
Depending on an operating protoc... [more]
CAS2014-34 VLD2014-43 SIP2014-55 MSS2014-34 SIS2014-34
pp.177-181
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
MBE, NC
(Joint)
2011-11-25
11:15
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University A BCI using FSK-modulated visual stimuli
Yosuke Kimura, Hiroshi Higashi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) NC2011-80
A brain computer interface based on steady-state visual evoked potentials has some issues; the number of available frequ... [more] NC2011-80
pp.47-52
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
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
NC 2008-10-24
10:50
Miyagi Tohoku Univ. The modulation effects of attention on steady-state visual evoked potential compared with psychophysical results
Yoshiyuki Kashiwase, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri (Tohoku Univ.) NC2008-51
An EEG component, Steady-State Visual Evoked Potential (SSVEP), was used as an index of attentional focus in the visual ... [more] NC2008-51
pp.79-84
ITE-HI, ITE-AIT, ITE-ME, IE, ITS 2008-02-18
10:50
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Development of a driving simulator utilizing human physiological responses
Jun Ando (KIE, TUT), Naoyuki Matsuzaki (RCFV, TUT), Hiroaki Shigemasu (Engineering, TUT), Michiteru Kitazaki (RCFV, TUT) ITS2007-41 IE2007-224
We drive a car using ordinal interfaces such as steering wheel, accelerator pedal and brake pedal. We propose that a fut... [more] ITS2007-41 IE2007-224
pp.31-36
 Results 1 - 11 of 11  /   
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