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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:40
Okinawa
(Primary: On-site, Secondary: Online)
An Investigation on the Speech Recovery from EEG Signals Using Transformer
Tomoaki Mizuno (The Univ. of Electro-Communications), Takuya Kishida (Aichi Shukutoku Univ.), Natsue Yoshimura (Tokyo Tech), Toru Nakashika (The Univ. of Electro-Communications) EA2023-108 SIP2023-155 SP2023-90
Synthesizing full speech from ElectroEncephaloGraphy(EEG) signals is a challenging task. In this paper, speech reconstru... [more] EA2023-108 SIP2023-155 SP2023-90
pp.277-282
ICTSSL, CAS 2024-01-26
14:15
Kanagawa
(Primary: On-site, Secondary: Online)
[Invited Talk] On increasing options for realizing brain-computer interface -- Auditory BCI and beyond --
Shin'ichiro Kanoh (Shibaura Institute of Tech.) CAS2023-104 ICTSSL2023-57
Brain-computer interface (BCI), a technology for detecting user intentions from brain activity measured by non-invasive ... [more] CAS2023-104 ICTSSL2023-57
pp.106-109
NC, MBE
(Joint)
2023-03-15
11:20
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Effect of multisensory integration of event-related potentials
Yukihiro Takeda, Simon Kojima, Shin'ichiro Kanoh (SIT) MBE2022-71
Integration of sensory information from different modalities, such as visual and auditory, is considered an important as... [more] MBE2022-71
pp.65-69
MBE 2022-07-23
13:25
Online Online Spatiotemporal Analysis of Leg Movement Related Cortical Potential 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
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
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
(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
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
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
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
CS, CAS, SIP 2014-03-07
13:50
Osaka Osaka City University Media Center Auditory Brain-Computer Interface Using Selective Attention
Tatsuhiko Osa, Toshihisa Tanaka (TUAT) CAS2013-130 SIP2013-176 CS2013-143
A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to ... [more] CAS2013-130 SIP2013-176 CS2013-143
pp.233-238
MBE 2014-01-25
14:10
Saga Saga University Examination of asynchronous-type BCI using right or left index finger tapping imagery
Taisuke Matsuda, Tomohiko Igasaki, Nobuki Murayama (Kumamoto Univ) MBE2013-113
We have studied Brain-Computer Interface (BCI) which operate a device using EEG. In a prior study, we found value of eve... [more] MBE2013-113
pp.93-96
NC, MBE
(Joint)
2013-11-22
13:50
Miyagi Tohoku University Classification of EEG Steady-State Visual Evoked Potential Using Stationary Subspace Analysis
Tomoki Shiratori, Hironao Namba, Takashi Matsumoto, Atsushi Ishiyama (Waseda Univ.) NC2013-48
We attempted to use signal separation algorithm Stationary Subspace Analysis (SSA) for classification of EEG steady-stat... [more] NC2013-48
pp.13-16
NC, MBE 2013-09-24
13:55
Niigata Niigata University Ekinan-Campus "TOKIMATE" Speech Classification Using Brain Activity Signals
Atsushi Nishimoto, Natsue Yoshimura, Koji Jimura (Tokyo Inst. of Tech./NCNP), Hiroyuki Kambara, Duk Shin (Tokyo Inst. of Tech.), Takashi Hanakawa (NCNP), Yasuharu Koike (Tokyo Inst. of Tech.) MBE2013-43 NC2013-29
Recently, Brain-Computer Interfaces (BCI) are used for handicapped individuals such as patients that have difficulty in ... [more] MBE2013-43 NC2013-29
pp.41-46
BioX
(2nd)
2013-05-24
17:40
Toyama Toyama Prefectural University [Poster Presentation] Brain-computer interface for cursor control using brain activity in the prefrontal
Satoshi Sanno, Tadanobu Misawa, Shigeki Hirobayashi (Univ of Toyama)
A brain-computer interface (BCI) reflects a user's intention using brain information as input and is expected to work as... [more]
 Results 1 - 20 of 41  /  [Next]  
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