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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 59  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
14:20
Online Online Investigation of machine learning methods for emotion discrimination by using phase synchronization of electroencephalogram
Fumiya Hirooka, Jiro Okuda (Kyoto Sangyo Univ. Grad. Sch.) NC2021-74
This study investigated machine learning methods for emotion discrimination by using phase synchronization of electroenc... [more] NC2021-74
pp.143-148
MBE, NC
(Joint)
2022-03-04
10:45
Online Online Study on fluctuation of electroencephalogram and acceleration plethysmogram during and overall chronic mental fatigue by silent reading task
Takumi Hirashita, Arao Funase, Ichi Takumi (NIT) MBE2021-103
Recently, the increase in the number of patients with mental disorders and the decrease in work efficiency by chronic me... [more] MBE2021-103
pp.58-61
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Detection of individual beats from EEG during rhythm imagination
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2021-92 SIP2021-119 SP2021-77
Rhythm is one element of music and is composed of several beats. It has been reported that evenly spaced beats and imagi... [more] EA2021-92 SIP2021-119 SP2021-77
pp.177-182
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving
Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] EA2021-94 SIP2021-121 SP2021-79
pp.189-194
HCGSYMPO
(2nd)
2021-12-15
- 2021-12-17
Online Online EEG-based Emotion Prediction for Emotion Induction using Music
Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura (NAIST/RIKEN)
There are situations where we need to induce emotions in our daily life. Music is one of stimuli that can change emotion... [more]
SRW, SeMI, CNR
(Joint)
2021-11-26
15:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes
Yuma Tsurugasaki, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SRW2021-50 SeMI2021-49 CNR2021-24
Machine learning using electroencephalographs (EEG) data can be used to infer various human states such as emotions and ... [more] SRW2021-50 SeMI2021-49 CNR2021-24
pp.79-81(SRW), pp.66-68(SeMI), pp.56-58(CNR)
MBE, NC
(Joint)
2021-10-28
14:20
Online Online A Study on Affective BCI Using Reservoir Computing and Fractal Analysis
Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep l... [more] MBE2021-22
pp.26-31
SIP, CAS, VLD, MSS 2021-07-05
13:00
Online Online Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism
Kosuke Fukumori (TUAT), Noboru Yoshida, Hidenori Sugano, Madoka Nakajima (Juntendo Univ.), Toshihisa Tanaka (TUAT) CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaust... [more] CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
pp.11-15
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:15
Online Online Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] EA2020-62 SIP2020-93 SP2020-27
pp.15-20
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:40
Online Online Estimation of Imagined Rhythm and Its Active Area from Electroencephalogram Using Deep Learning
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2020-63 SIP2020-94 SP2020-28
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in an electroencephalogram (EE... [more] EA2020-63 SIP2020-94 SP2020-28
pp.21-26
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
14:30
Online Online Estimation of Attentional Direction using EEG during Simultaneous Presentation of Music from Two Sources
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) EA2020-83 SIP2020-114 SP2020-48
People can pay selective attention to music or speech from various sounds. It has been reported that when multiple
beat... [more]
EA2020-83 SIP2020-114 SP2020-48
pp.140-145
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
10:30
Online Online Toward Estimation of Attentional Direction Using EEG Signals during Simultaneous Presentation of Two Types of Music
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
People can pay selective attention to music or speech from various sounds.It has been reported that when multiple beat s... [more] SIP2020-9 BioX2020-9 IE2020-9 MI2020-9
pp.41-46
NC, MBE
(Joint)
2020-03-05
10:45
Tokyo University of Electro Communications
(Cancelled but technical report was issued)
Effects of gaze queue in cognitive task on mirror neuron system
Taim Monobe, Hiroyuki Ito (Kyoto Sangyo Univ.) MBE2019-83
We report how the difference in visual information in a cognitive task influences the electroencephalogram (EEG) and the... [more] MBE2019-83
pp.11-16
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Decoding of Non-Isochronous Rhythms Imagery from EEG Using Convolutional Neural Network
Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2019-153 SIP2019-155 SP2019-102
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in electroencephalogram (EEG).... [more] EA2019-153 SIP2019-155 SP2019-102
pp.301-306
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EEG-Based Estimation of Attentional Direction while Simultaneously Listening to Music and Speech
Ryosuke Matsui, Toshihisa Tanaka (TUAT) EA2019-155 SIP2019-157 SP2019-104
We can selectively focus our auditory attention to a particular speech or music.The function is called selective attenti... [more] EA2019-155 SIP2019-157 SP2019-104
pp.313-318
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] EA2019-156 SIP2019-158 SP2019-105
pp.319-323
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EpiNet: Convolutional Neural Network for Epileptic Seizure Localization from Interictal Intracranial EEG
Kosuke Mori, Kosuke Fukumori, Toshihisa Tanaka (TUAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2019-157 SIP2019-159 SP2019-106
The electroencephalogram (EEG) recording is necessary for epileptic diagnosis. In particular, the intracranial EEG (iEEG... [more] EA2019-157 SIP2019-159 SP2019-106
pp.325-330
MBE 2019-07-20
11:20
Tokushima   Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters
Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.) MBE2019-21
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve... [more] MBE2019-21
pp.13-18
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
11:15
Okinawa Okinawa Institute of Science and Technology Detection of Syntactic Anomalies in Spoken Sentences from Single-trial EEG Signals with Neural Networks
Shunnosuke Motomura, Hiroki Tanaka, Satoshi Nakamura (NAIST) NC2019-15 IBISML2019-13
In this paper we propose a method with neural networks for detecting syntactic anomalies in sentences using electroencep... [more] NC2019-15 IBISML2019-13
pp.63-68(NC), pp.85-90(IBISML)
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