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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| NC, NLP | 2023-01-28 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Effects of positive mood change on the music preference and the music preference-related EEG Erina Abe, Kiyohisa Natsume (Kyutech) NLP2022-92 NC2022-76 |
Today, many people suffer from stress disorders and dementia, and one of the treatments is music therapy. Music therapy ... [more] | NLP2022-92 NC2022-76 pp.58-63 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 14:05 |
Saga | Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact Ilham Rais, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-50 MBE2022-50 |
Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive form of stimulation that has potential therap... [more] | MICT2022-50 MBE2022-50 pp.31-35 |
|
| 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 |
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| 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 |
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