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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE 2024-05-11
13:55
Toyama   Effects of Vibration Compensation for Head-Up Display on EEG during Car Driving
Hikaru Kato (Niigata Univ), Masaki Katagiri, Tadashige Makino, Toshio Ito (NS), Atsuhiko Iijima, Junichi Hori (Niigata Univ)
(To be available after the conference date) [more]
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
10:10
Okinawa
(Primary: On-site, Secondary: Online)
EEG during music recall: Time-frequency analysis, event-related potential, and directed connectivity
Mayu Goto, Ingon Chanpornpakdi, Kazuki Matsunaga, Shuma Ito, Toshihisa Tanaka (TUAT) EA2023-112 SIP2023-159 SP2023-94
Humans not only listen to music but can also recall music in their minds.It is known that electroencephalogram (EEG) pow... [more] EA2023-112 SIP2023-159 SP2023-94
pp.300-305
HIP 2023-12-21
11:00
Miyagi Research Institute of Electrical Communication Natural finger-tapping tempo reflects intrinsic neurophysiological characteristics -- Neural correlates of natural tempo --
Sai Sun (Tohoku Univ.), Daw-An Wu, Mohammad Shehata (Caltech), Takuya Akashi, Morimichi Furudate (Iwate Univ.), Chao Zhang (Fukui Univ.), Ken-Ichiro Tsutsui, Satoshi Shioiri (Tohoku Univ.), Shinsuke Shimojo (Caltech) HIP2023-77
Individuals often have a natural rhythm or speed in their motor activities, such as walking and talking. What remains la... [more] HIP2023-77
pp.5-12
IPSJ-SLDM, RECONF, VLD [detail] 2023-01-24
10:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University
(Primary: On-site, Secondary: Online)
Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram
Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) VLD2022-66 RECONF2022-89
Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram.... [more] VLD2022-66 RECONF2022-89
pp.40-44
MBE, MICT, IEE-MBE [detail] 2023-01-17
14:30
Saga   Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient
Baijun Song, Aoi Takahi, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-51 MBE2022-51
Eye movements are an important source of electroencephalogram (EEG) artifacts. Independent component analysis (ICA) is c... [more] MICT2022-51 MBE2022-51
pp.36-39
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
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Suppression of alpha power in the prediction of familiar melodies
Shuma Ito, Toshihisa Tanaka (TUAT) EA2021-91 SIP2021-118 SP2021-76
There is a relationship between melody recognition and language processing in the human brain.
For language memory, it... [more]
EA2021-91 SIP2021-118 SP2021-76
pp.171-176
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
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
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
NC, MBE
(Joint)
2018-12-15
13:50
Aichi Nagoya Institute of Technology Spectral Analysis for Electroencephalograms in a Writer’s Cramp Patient and Healthy Control Subjects
Keisuke Hasegawa, Yasunari Hashimoto (Kitami Inst. of. Tech) MBE2018-56
Writer's cramp (WC) is a disorder that causes cramps or spasms of certain hand or finger muscles while pen-writing. Rece... [more] MBE2018-56
pp.29-32
MBE, NC
(Joint)
2018-11-22
17:05
Kyoto   The comparison of the discrimination of the music preference using the frontal electroencephalogram (EEG) asymmetry and the EEG power
Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (KIT) MBE2018-49
The previous research of the frontal EEG asymmetry of mood and emotion has reported that the left frontal EEG activation... [more] MBE2018-49
pp.65-70
BioX, ITE-ME, ITE-IST 2018-05-25
11:45
Ishikawa Kanazawa Univ. Nishimachi Satelite Plaza A Study on Evoked EEGs by Unperceivable Vibration Stimuli
Yoshiaki Shindo, Akinobu Takemura, Isao Nakanishi (Tottori Univ.) BioX2018-6
Generally biological biometrics authentication uses information exposed on the body and since it is one time authenticat... [more] BioX2018-6
pp.51-55
NLP 2018-04-27
13:20
Kumamoto Kumaoto Univ. The relationship between the music-prference related electroencephalogram and a mood change.
Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2018-20
In the present research, we studied the effect of music preference and music-preference related electroencephalogram (EE... [more] NLP2018-20
pp.95-100
MBE, NC, NLP
(Joint)
2018-01-26
16:55
Fukuoka Kyushu Institute of Technology The characteristics of the electroencephalogram related to the music preferences
Takaaki Hayata, Hirokazu Sadahisa, Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2017-87
We have developed the music players that can be operated using electroencephalogram (EEG). In the previous research [Tsu... [more] NLP2017-87
pp.7-12
BioX, ITE-ME, ITE-IST 2017-05-22
16:40
Ishikawa   A Study on Biometrics EEG by Inaudible Auditory Stimulation
Takehiro Maruoka, Kenta Kanbe, Hideki Harada, Isao Nakanishi (Tottori Univ.) BioX2017-4
We have proposed to use the electroencephalogram (EEG) for person authentication. The EEG is generated spontaneously fro... [more] BioX2017-4
pp.35-39
MBE, NC
(Joint)
2016-11-18
15:05
Miyagi Tohoku University Beta Band Desynchronization Related to the Planning of Reaching Movements
Yusuke Kamikawa, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) MBE2016-49
Reaching movements require the integration of targets and effectors for planning movements. Some studies suggested that ... [more] MBE2016-49
pp.9-14
HCS 2015-08-22
11:00
Kyoto   Effects of the use of paper notebooks and tablet devices on cognitive load in learning -- An Electroencephalographic (EEG) study --
Aya Hatano, Takayasu Sekine, Tomomitsu Herai, Namiha Ihara (Centan), Yuko Tanaka, Satoko Murakami, Shinobu Kinugawa (KOKUYO), Hiroshi Nittono (Hiroshima Univ.) HCS2015-48
The purpose of this study is to examine whether the cognitive load placed when writing on paper notebooks differs from t... [more] HCS2015-48
pp.39-44
NC 2015-01-30
10:00
Fukuoka Kyushu Institute of Technology Effect on electroencephalogram of heart sound
Hiroki Nakatsuka (Kyusyu Inst of Tech.), Yasumi Kawano, Saori Matsuda (Heart Best), Kiyohisa Natsume (Kyusyu Inst of Tech.) NC2014-64
In the present study, the effect of heart sound on electroencephalogram (EEG) was studied. Before the experiment, the he... [more] NC2014-64
pp.39-45
NLP 2015-01-26
11:50
Oita Compal Hall The electroencephalogram related to English rhythm learning
Shintaro Yamamoto, Kiyohisa Natsume (KIT) NLP2014-117
To develop e-learning system using English rhythm instruction materials (RIM), while the previous study found that theta... [more] NLP2014-117
pp.25-30
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