Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2018-10-19 16:25 |
Miyagi |
Tohoku Univ. |
A Study on Detecting Event Related Potential P300 Converted to Frequency Component using Convolutional Neural Network Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2018-18 |
P300 is an event related potential in the electroencephalogram (EEG) elicited by visual or sound stimulus and used for P... [more] |
NC2018-18 pp.27-32 |
MBE |
2018-06-22 13:25 |
Hokkaido |
|
Analysis of electroencephalogram changes during voluntary hand and foot movement. Sachiko Shiota, Yasunari Hashimoto (Kitami Inst. of. Tech.) MBE2018-14 |
INTRODUCTION: Recently, electroencephalographic (EEG) changes called event-related desynchronization (ERD) and event-rel... [more] |
MBE2018-14 pp.39-42 |
MBE, NC (Joint) |
2018-03-13 14:40 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Development of a Game System by Using Mixed Reality and a Brain Computer Interface Kojiro Goto, Ryouta Horie (SIT) MBE2017-96 |
In this research, we focused on mixed reality (MR) devices that can combine virtual information and real space informati... [more] |
MBE2017-96 pp.83-86 |
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 |
MBE, NC, NLP (Joint) |
2018-01-26 13:00 |
Fukuoka |
Kyushu Institute of Technology |
A study on Detecting Event Related Potential P300 through Weighted Ensemble Learning using Convolutional Neural Network Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-50 |
The event related potential P300 in the electroencephalogram (EEG) elicited by visual stimulus is used for P300 speller ... [more] |
NC2017-50 pp.1-4 |
MBE, NC, NLP (Joint) |
2018-01-26 15:00 |
Fukuoka |
Kyushu Institute of Technology |
Development of a Brain-Computer Interface Game by Using a Mixed Reality Glass and a Simple EEG Recorder Yuya Otsuka, Ryota Horie (Shibaura Inst. of Tech.) MBE2017-66 |
We proposed an entertainment system combining mixed reality (MR) technology and a brain-computer interface (BCI). Our pr... [more] |
MBE2017-66 pp.1-6 |
MBE, NC (Joint) |
2017-12-16 11:20 |
Aichi |
Nagoya University |
A Study on Applying Convolutional Neural Network for Detecting Event Related Potential P300 Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-42 |
The event related potential P300 in the electroencephalogram (EEG) elicited by visual stimulus is used for P300 speller ... [more] |
NC2017-42 pp.13-16 |
MBE, NC (Joint) |
2017-11-25 14:45 |
Miyagi |
Tohoku University |
A Study on Applying Convolutional Neural Network for Detecting Event Related Potential P300 Takahiro Takeichi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-35 |
P300 speller is a character inputting BCI that uses event related potential P300 contained in electroencephalogram(EEG).... [more] |
NC2017-35 pp.43-47 |
MBE, NC (Joint) |
2017-11-25 15:10 |
Miyagi |
Tohoku University |
Ensemble Learning with Feature Extraction for EEG Signal Discrimination using Source Separation Shuichi Nishino, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-36 |
BCI allows a user to control external devices and to communicate with other people by measuring and discriminating EEG. ... [more] |
NC2017-36 pp.49-52 |
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 |
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 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Unconscious deep-brain functional mechanisms for explaining perception of sounds Katsuhiro Mori (Aoyama Gakuin Univ), Yoshitada Katagiri (NICT/Kobe Univ), Yoshito Tobe (Aoyama Gakuin Univ) |
Speech synthesis generating voices as people can easily understand plays a primary part in computer systems with vocal m... [more] |
|
MBE, NC (Joint) |
2016-12-07 14:45 |
Aichi |
Toyohashi University of Technology |
Analysis of Sense of Agency on BCI-VR System Shogo Kaneta, Takuya Nishigaki, Hisaya Tanaka (Kogakuin Univ.) MBE2016-64 |
In order to improve the accuracy of the BCI (Brain-computer Interface) operation in the VR (Virtual Reality) space, we a... [more] |
MBE2016-64 pp.41-46 |
MICT |
2016-11-04 15:50 |
Osaka |
Osaka International House Foundation |
EEG Detection by Remote Sensing Makoto Koike (MK Microwave Researh) MICT2016-54 |
Typically, EEG is measured through electrodes on the skin of the head of a subject. In contrast, I report herein the de... [more] |
MICT2016-54 pp.35-42 |
AI |
2016-06-27 15:40 |
Tokyo |
|
A Basic Study on Speeding up Japanese Input BCI with Linguistic Feature Shuichi Nishino, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) AI2016-9 |
Brain Computer Interface (BCI) allows a user to control external devices and to communicate with other people by his/he... [more] |
AI2016-9 pp.47-50 |
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 |
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 |