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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 127 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS, ITE-BCT 2020-10-02
10:40
Online Online The difference of EEG between same contrast visual stimuli
Tsutomu Yoshida, Takuma Naganawa, Akitoshi Itai (Chubu Univ.) SIS2020-24
The brain wave, which is evoked when we watch a periodic blinking of light source or checkerboard, is known as an SSVEP ... [more] SIS2020-24
pp.71-74
MBE 2020-05-23
13:25
Online Online A basic study on auditory stimuli for BCIs based on voice menu selective attention
Masami Hashimoto, Tomoya Matsui, Keiji Kubota (Shinshu Univ.) MBE2020-2
Brain computer interface has been studied for various purposes, and one of them is a means of communication with ALS pat... [more] MBE2020-2
pp.5-8
AI, IPSJ-ICS, JSAI-SAI, JSAI-DOCMAS, JSAI-KBS
(Joint)
2020-03-08
18:20
Hokkaido   Discrimination of EEG Recalling Arrow Symbols and Alphabets by High Frequency Band
Yuya Akama, Seiji Tsuchiya, Hirokazu Watabe (Doshisha) AI2019-56
In recent years, attention has been paid to BCI as an input method to computers. In this study, we measured EEG when vi... [more] AI2019-56
pp.13-18
SIS 2020-03-05
14:00
Saitama Saitama Hall
(Cancelled but technical report was issued)
The individual characteristics of SSVEP for Modulated Flickers
Tomoya Tamaki, Akitoshi Itai (Chubu Univ.) SIS2019-41
The Steady-State Visual Evoked Potential (SSVEP) is useful as a basis for Brain-computer interface (BCI). The liquid cry... [more] SIS2019-41
pp.23-27
NC, MBE
(Joint)
2020-03-05
14:35
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Detection of covert-speech-related potentials
Sho Tsukiyama, Toshimasa Yamazaki (KIT) MBE2019-87
Recently, Brain-Computer Interfaces (BCIs) using speeches for communications have been researched by electroencephalogra... [more] MBE2019-87
pp.35-40
WIT, HI-SIGACI 2019-12-04
15:20
Tokyo AIST Tokyo Waterfront (TBD) Development of P300-BCI based on voice menu selective attention
Tomoya Matsui, Masami Hashimoto, Kazunori Itoh (Shinshu Univ.) WIT2019-38
We are conducting research and development of Brain Computer Interface (BCI) as a communication device using EEG for peo... [more] WIT2019-38
pp.45-48
WIT, SP 2019-10-27
09:00
Kagoshima Daiichi Institute of Technology Extraction of linguistic representation and syllable recognition from EEG signal of speech-imagery
Kentaro Fukai, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. of Science), Satoka Hirata, Yurie Iribe (Aichi Prefectural Univ.), Mingchua Fu, Ryo Taguchi (Nagoya Inst. of Technology), Tsuneo Nitta (Waseda Univ./Toyohashi Univ. of Technology) SP2019-28 WIT2019-27
Speech imagery recognition from Electroencephalogram (EEG) is one of the challenging technologies for non-invasive brain... [more] SP2019-28 WIT2019-27
pp.63-68
WIT, SP 2019-10-27
09:40
Kagoshima Daiichi Institute of Technology Real-Time Silent Speech BCI with Japanese Hiragana
Sylvain Gaborit, Toshimasa Yamazaki (KIT) SP2019-30 WIT2019-29
Brain-Computer interfaces (BCIs) are often seen as a way to bypass limbs and might be used by people physically unable t... [more] SP2019-30 WIT2019-29
pp.75-80
WIT, SP 2019-10-27
10:10
Kagoshima Daiichi Institute of Technology Discriminability among Japanese vowels using early components in silent-speech-related potentials
Sho Tsukiyama, Toshimasa Yamazaki (KIT) SP2019-31 WIT2019-30
In order to investigate decoding methods in silent speech Brain-Computer Interfaces, 19-ch electroencephalograms (EEGs) ... [more] SP2019-31 WIT2019-30
pp.81-86
MBE, NC 2019-10-11
14:45
Miyagi   Evaluation of concentrating state using EEG and heart rate variability
Yuya Takahashi (SIT), Makoto Komazawa (WINFrontier/SIT), Midori Sugaya (SIT) MBE2019-32 NC2019-23
In recent years, studies that read the emotions and concentration state from biological signals such as brain waves and ... [more] MBE2019-32 NC2019-23
pp.19-21
EMCJ 2019-04-11
13:05
Okinawa Okinawa Industry Support Center A Novel Modeling Method for Bulk Current Injection Probe Clamping Multiple Wires
Takanori Uno, Ichiro Akahori (DENSO EMCES), Yoichiro Hara, Yasunori Iwata (DENSO TECHNO) EMCJ2019-1
In this paper, consideration is made to create a simulation model of the BCI test method, which is one of the EMC evalua... [more] EMCJ2019-1
pp.1-6
NC, MBE
(Joint)
2019-03-06
15:55
Tokyo University of Electro Communications A Study on Improvement of Identification Accuracy in Auditory BCI focusing on Movement Sound
Yuki Onodera, Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) MBE2018-116
Brain-Computer Interfaces (BCI) is a technology for controlling external devices by using human brain activity.
In prev... [more]
MBE2018-116
pp.153-158
MBE 2019-01-31
13:05
Saga Saga University The BCI Speller based on SSVEP using Virtual Reality
Zebin Xu, Zhaoxuan Li, Keiji Iramina (Kyushu Univ.) MBE2018-62
We present a Brain Computer Interface (BCI) keyboard system that uses Electroencephalography (EEG) signals based on Stea... [more] MBE2018-62
pp.21-25
EMCJ, IEE-EMC 2018-12-14
09:55
Aichi   A Leveled Evaluation Method Using Bulk Current Injection (BCI ) Probe
Noboru Maeda (SOKEN), Makoto Jomoto (TMC) EMCJ2018-89
Desirable conditions on Bulk Current Injection (BCI) test, a test for components, to perform more leveled evaluation thr... [more] EMCJ2018-89
pp.13-18
MBE, NC
(Joint)
2018-03-13
16:30
Tokyo Kikai-Shinko-Kaikan Bldg. [Special Talk] Bridging brain and daily life -- Brain-computer interface and beyond --
Shin'ichiro Kanoh (Shibaura Inst. of Tech.) MBE2017-99 NC2017-67
Recently, the technique to determine human’s mental and physical states by extracting information from biosignals, e.g. ... [more] MBE2017-99 NC2017-67
p.97(MBE), p.1(NC)
MBE, NC
(Joint)
2018-03-14
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. An examination about discrimination of imagined individual finger movements using EEG
Tetsuro Hayashi, Hiroshi Yokoyama, Carabez Eduardo, Isao Nambu, Yasuhiro Wada (NUT) MBE2017-102
The objective of this study is to examine the feasibility of finger discrimination using single-trial electroencephalogr... [more] MBE2017-102
pp.109-112
EMCJ, IEE-EMC 2017-12-15
16:40
Gifu Gifu University A study of high noise immunity IC for automotive pressure sensor
Hiroaki Hayashi, Norikazu Ohta (Toyota CRDL), Noriyuki Mase (DENSO CORP.) EMCJ2017-87
The electromagnetic environment for in-vehicle sensors has been getting worse as the vehicle becomes more electrified an... [more] EMCJ2017-87
pp.81-85
MBE, NC
(Joint)
2017-11-25
10:25
Miyagi Tohoku University Classification of tongue's Motor Imagery in Event-Related Desynchrozation
Masahiro Nishikawa, Hisaya Tanaka (Kogakuin Univ.) MBE2017-50
Motor imagery (MI) is switch of MI brain-computer interface (BCI). The purpose of this study classify tongue's MI and o... [more] MBE2017-50
pp.17-22
MBE, NC
(Joint)
2017-03-13
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. Examination of two-target stimuli paradigm for auditory brain-computer interfaces
Miho Sugi, Kengo Takahashi, Isao Nambu, Yasuhiro Wada (Nagaoka University of Technology) NC2016-70
A brain-computer interface (BCI) is a system that can operate several devices using only brain signals and is expected t... [more] NC2016-70
pp.37-42
MBE, NC
(Joint)
2017-03-13
14:35
Tokyo Kikai-Shinko-Kaikan Bldg. Convolutional neural networks with 3D input for P300 Identification in auditory brain-computer interfaces
Eduardo Carabez, Miho Sugi, Isao Nambu, Yasuhiro Wada (Nagaoka Gidai) NC2016-71
We propose a 3D input for a convolutional neural network used as
classifier for an auditory BCI that presents sounds to... [more]
NC2016-71
pp.43-48
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