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 Results 1 - 20 of 54  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE 2022-07-23
13:25
Online Online Time-space Analysis of Movement Related Cortical Potential in Leg movement for Left -Right Discrimination
Tomotaka Sato, Junichi Hori (Niigata Univ) MBE2022-13
Brain-computer interface (BCI) has been investigated as a means of communication for people with severe physical disabil... [more] MBE2022-13
pp.6-8
HCS, HIP, HI-SIGCE [detail] 2022-05-16
10:00
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Information Input System Based-on Object-based Visual Attention
Yuhong Lv, Rumi Hisakata, Hirohiko Kaneko (Tokyo Tech) HCS2022-25 HIP2022-25
The purpose of this study is to develop a communication support system using pupil diameter measurement data for patient... [more] HCS2022-25 HIP2022-25
pp.124-127
MBE, NC
(Joint)
2022-03-02
13:25
Online Online Development and evaluation of a neurofeedback system for motor-imagery based BCI
Shuhei Oba, Simon Kojima, Shin'ichiro Kanoh (SIT) NC2021-52
A neurofeedback system to improve the user applicability of motor-imagery based BCI was proposed and evaluated in this s... [more] NC2021-52
pp.30-35
MBE, NC
(Joint)
2022-03-04
16:00
Online Online Investigation of event-related potentials elicited by attribute change of virtually localized moving sound
Fumiya Kobayashi, Simon Kojima, Shin'ichiro Kanoh (SIT) NC2021-78
As a basic study to improve the functionality of auditory BCI, we investigated ERPs elicited by selective attention to t... [more] NC2021-78
pp.164-169
NC, MBE
(Joint)
2021-11-26
13:55
Online Online Examination of interface using steady-state visual evoked potential by color-reversed live-action image
Kenji Matsunaga, Junichi Hori (Niigata Univ) MBE2021-27
The purpose of this study was to realize a brain-computer interface (BCI) of steady-state visual evoked potential (SSVEP... [more] MBE2021-27
pp.5-8
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
16:10
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
pp.164-169
MBE, NC
(Joint)
2020-12-18
17:05
Online Online Development of an upper-limb virtual reality system for brain-computer interface
Yoshiyuki Suzuki, Fumiya Tanaka, Matija Milosevic, Taishin Nomura (Osaka Univ.) MBE2020-24
Individuals with neurological impairments such as spinal cord injury (SCI) often have impaired ability to control their ... [more] MBE2020-24
p.24
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.) NC2018-72
Since a lengthy functional near-infrared spectroscopy (fNIRS) measurement is uncomfortable for the participant, the numb... [more] NC2018-72
pp.151-156
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, 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
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
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
NLP 2014-12-03
16:25
Tokyo Kyoto Univ. Tokyo Office BCI-based Adaptive-speed-control of Electric Wheelchairs
Nobuaki Kobayashi, Masahiro Nakagawa (NUT) NLP2014-106
BCI (Brain-computer Interface) has been attracting attention as an interface to connect the brain to external devices. H... [more] NLP2014-106
pp.41-46
MBE, NC
(Joint)
2014-11-21
17:05
Miyagi Tohoku University Proposal and Implementation of Feature Detection and Control Method for Brain-Computer Interface Composed of a Smart Device and a Simple EEG Recorder
Shunnichi Saeki, Ryota Horie (Shibaura Inst. of Tech.) MBE2014-66 NC2014-36
Brain-Computer Interfaces (BCIs) which consists of a simple EEG recorder has problems of a lower S/N ratio and limited n... [more] MBE2014-66 NC2014-36
pp.41-46(MBE), pp.57-62(NC)
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern
Alessandro Balzi (PoliMi), Florian Yger, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-40
Non-stationarity is an important issue for practical applications of machine learning methods. This issue particularly a... [more] IBISML2014-40
pp.41-48
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