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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
14:10
Tokushima Naruto University of Education Identification of Hand Grasping and Opening Movements Based on EEG Feature Extraction during Motion Imaginary
Reo Shoji, Jianqing Wang (NIT) NLP2023-111 MICT2023-66 MBE2023-57
Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands f... [more] NLP2023-111 MICT2023-66 MBE2023-57
pp.127-132
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
15:10
Okinawa
(Primary: On-site, Secondary: Online)
Speech synthesis from electrocorticogram using pre-trained neural vocoder
Kai Shigemi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Kohei Yatabe, Toshihisa Tanaka (TUAT)
(To be available after the conference date) [more]
CQ, CBE
(Joint)
2023-01-27
13:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
[Invited Talk] Development of a cognitive training system based on an EEG-BMI and its application to the competition "bSports"
Ryohei P. Hasegawa (AIST) CQ2022-77
In recent years, there has been a growing movement to put the Brain-Machine Interface (BMI), which directly connects the... [more] CQ2022-77
p.91
MBE, IEE-MBE 2022-06-17
13:55
Online Online Development of Brain Machine Interface using EEG when recalling visual images
Wataru Murata, Junichi Hori (NU) MBE2022-7
To assist the communication of motor-impaired, brain-machine interface (BMI) has been developed in recent years. In this... [more] MBE2022-7
pp.2-4
MBE, NC
(Joint)
2022-03-04
14:45
Online Online EEG classification with Aligners and Adversarial Domain Adaptation for Invariant Feature Extraction and Calibration Across Subjects
Tatsuhiro Shiraishi (NAIST), Reinmar Kober, Kazuaki Kawanabe (ATR) NC2021-75
Due to non-stationarity and inter-subject difference, conventional machine learning methods are yet to achieve a breakth... [more] NC2021-75
pp.149-154
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Transformer-based Text Decoding using Electrocorticography
Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) EA2021-87 SIP2021-114 SP2021-72
Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from ... [more] EA2021-87 SIP2021-114 SP2021-72
pp.146-151
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
SR, NS, SeMI, RCC, RCS
(Joint)
2020-07-10
14:45
Online Online Theoretical Analysis of Connecting Bidirectional Wireless Communications Applying Microwave Auditory Effect into Backbone Network
Makoto Koike (MK Microwave) RCS2020-77
An anti-personnel radar may be applied to brain-machine interfaces to realize bidirectional wireless communication, and ... [more] RCS2020-77
pp.111-116
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A Design of Reduced Phoneme Set Based on a Language Model
Shuji Komeiji, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2018-134 SIP2018-140 SP2018-96
A design of reduced phoneme set based on a language model is proposed. The reduction of the phoneme set improves discrim... [more] EA2018-134 SIP2018-140 SP2018-96
pp.205-210
NC, MBE
(Joint)
2019-03-06
10:20
Tokyo University of Electro Communications Decoding of stimulus orientations from neuron populations in Cat visual cortex -- effect of spike count correlation --
Reo Kouno, Yoshiya Mori, Hiroyuki Ito (Kyoto Sangyo Univ.) NC2018-76
(To be available after the conference date) [more] NC2018-76
pp.175-180
CQ, ICM, NS, NV
(Joint)
2018-11-15
13:10
Ishikawa   [Invited Talk] Challenge to the Future using Biometric Information, including an EEG
Minoru Nakazawa (KIt) NS2018-136 CQ2018-63 ICM2018-24
(To be available after the conference date) [more] NS2018-136 CQ2018-63 ICM2018-24
p.37(NS), p.1(CQ), p.1(ICM)
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
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
16:15
Okinawa Okinawa Institute of Science and Technology Decoding Covert Spatial Attention using Privacy-preserving Sparse Coding
Takayuki Nakachi, Hiroyuki Ishihara (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) NC2018-8
Brain-machine interface (BMI) has attracted much attention not only in biomedical engineering fields but also in ICT hum... [more] NC2018-8
pp.15-20
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)
CCS 2017-11-09
13:30
Osaka Osaka Univ. [Invited Talk] ECoG-based Brain-Machine Interface -- System development and neuroscience issues --
Takafumi Suzuki (NICT) CCS2017-22
Electrocorticogram (ECoG) has recently been attracting increased attention as a source signal for clinical Brain-machine... [more] CCS2017-22
pp.11-14
MBE 2017-06-16
10:55
Hokkaido Hokkaido University Optimization of a visual oddball paradigm for evoking P300 response -- An electroencephalographic study --
Daisuke Yamashita, Yasunari Hashimoto (Kitami Inst. of Tech.) MBE2017-12
P300, which is a sort of electroencephalographic responses related to cognitive brain function, has attracted attention ... [more] MBE2017-12
pp.7-12
IBISML 2017-03-06
17:00
Tokyo Tokyo Institute of Technology Recurrent Neural Networks for task-evoked fMRI data classification
Koya Ohashi (Tokyo Tech), Taiji Suzuki (Tokyo Tech/JST/RIKEN) IBISML2016-104
We consider a classification problem in which the task that a subject is performing is identified from the brain activit... [more] IBISML2016-104
pp.33-40
SP 2017-01-21
10:00
Tokyo The University of Tokyo Spoken dialogue system with brain machine interface
Makoto Koike (MK Microwave Researh) SP2016-65
We propose herein that brain-machine interfaces are applied to both output and input interfaces of the spoken dialogue s... [more] SP2016-65
pp.1-9
SP, IPSJ-SLP, NLC, IPSJ-NL
(Joint) [detail]
2016-12-20
15:10
Tokyo NTT Musashino R&D Remote Sensing Applied to the Input Interface of Spoken Dialogue System
Makoto Koike (MK Microwave Researh) SP2016-60
I propose herein that remote sensing is applied to the input interface of spoken language systems. The remote sensing r... [more] SP2016-60
pp.59-64
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]
 Results 1 - 20 of 58  /  [Next]  
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