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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 104 [Previous]  /  [Next]  
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
 Results 21 - 40 of 104 [Previous]  /  [Next]  
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