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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 85件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2019-03-05
16:15
Tokyo University of Electro Communications Performance improvement of fNIRS-BCI using generative adversarial networks
Tomoyuki Nagasawa (Nagaoka Univ. of Tech.), Takanori Sato (National Inst. of Tech., Akita Col.), Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.)
Since a lengthy functional near-infrared spectroscopy (fNIRS) measurement is uncomfortable for the participant, the numb... [more] NC2018-72
pp.151-156
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.)
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.)
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)
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.)
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)
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.)
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.)
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.)
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.)
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.)
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)
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)
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.)
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)
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.)
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)
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)
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)
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
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