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 |