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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EST | 2024-05-17 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Numerical evaluation of the accuracy of source estimation in various forward problem head models Masamune Niitsu, Yuji Tanaka, Chun-Ren Phang, Sachiko Kodera, Toshiaki Wasaka, Akimasa Hirata (NITech)  EST2024-2 |
(To be available after the conference date) [more] | EST2024-2 pp.7-12 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 10:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Estimation of Perceived Difficulty when reading VR-based Educational Comics Using Gaze and Facial Movement, Heart Rate, and Electroencephalography Hiroyuki Ishizuka (NAIST), Kenya Sakamoto, Shizuka Shirai, Jason Orlosky (OU), Yutaro Hirao, Monica Perusquia-Hernandez (NAIST), Naoya Isoyama (OWU), Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST) IMQ2023-13 IE2023-68 MVE2023-42 |
This study explores significant biometric features that can be used to estimate subjective difficulty while reading educ... [more] | IMQ2023-13 IE2023-68 MVE2023-42 pp.1-6 |
| NLP, MSS | 2024-03-14 15:40 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Mouse EEG analysis based on nonlinear dynamics using permutation entropy Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2023-96 NLP2023-148 |
Embedding is a frequently used method in nonlinear time series analysis for analyzing EEG. To determine the necessary pa... [more] | MSS2023-96 NLP2023-148 pp.119-122 |
| NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Discrimination between dementia groups and healthy elderlies based on time-series variations of functional connectivity Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP) MBE2023-70 |
Alzheimer’s disease is the most famous dementia in the world. Electroencephalography (EEG), which is excellent at time r... [more] | MBE2023-70 pp.9-12 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 15:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Lightweight and Interpretable Deep Learning Model for EEG-Based Sleep Stage Classification Aozora Ito, Toshihisa Tanaka (TUAT) EA2023-82 SIP2023-129 SP2023-64 |
Sleep scoring by experts is necessary for diagnosing sleep disorders. EEG is one of the essential physiological data for... [more] | EA2023-82 SIP2023-129 SP2023-64 pp.127-132 |
| 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 |
| 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 |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 13:45 |
Hokkaido | Hokkaido Univ. | Fine-tuning Image Classification Model for Diagnosis of Autism Spectrum Disorder Using EEG Data Hiroto Kawahara, Takuya Kitamura (NITT) ITS2023-70 IE2023-59 |
In this paper, we propose and evaluate a classification model generated by fine tuning a pre-trained image classificatio... [more] | ITS2023-70 IE2023-59 pp.130-134 |
| 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 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 14:50 |
Tokushima | Naruto University of Education | Analysis of EEG Signals Measured Simultaneously by a Simple EEG Recorder and a Multi-Channel EEG Recorder during Virtual Reality Live Concert Viewing Haoran Wang, Yuta Minegishi, Ryota Horie (SIT) NLP2023-113 MICT2023-68 MBE2023-59 |
The authors developed a virtual live concert viewing system using an immersive head-mounted display that feeds back elec... [more] | NLP2023-113 MICT2023-68 MBE2023-59 pp.139-144 |
| 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 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
The Effects of Napping Based on EEG Measurement and Its Impact During Sleep Deprivation Hiroko Hara, Masayuki Murata (Osaka Univ.) |
Evolving work styles require diverse and flexible styles. However, issues such as fatigue and reduced productivity due t... [more] | |
| NLP | 2023-11-28 13:00 |
Okinawa | Nago city commerce and industry association | Recurrence quantification analysis on electroencephalographic (EEG) potentials of epileptic seizure Makoto Sekiguchi, Tohru Ikeguchi (TUS) NLP2023-63 |
In this report, we analyze the characteristics of electroencephalographic (EEG) potentials of healthy individuals and ep... [more] | NLP2023-63 pp.21-26 |
| NC, MBE (Joint) |
2023-11-27 10:00 |
Osaka | Kindai Univ. (Primary: On-site, Secondary: Online) |
Improving the accuracy of reading visual information using resting EEG activity Rin Nakayama, Yoshiya mori (NIT Tsuyama) NC2023-32 |
In this study, we attempted to improve decoding ability in brain activity during visual stimulation by using feature val... [more] | NC2023-32 pp.1-4 |
| ET | 2023-10-21 13:10 |
Nagano | Shinshu University Faculty of Engineering | Differential analysis of heart rate, facial expressions, and brain waves during learning of visual- and text-based languages Katsuyuki Umezawa, Takumi Koshikawa (Shonan Inst. of Tech.), Makoto Nakazawa (Junior College of Aizu), Shigeichi Hirasawa (Waseda Univ.) ET2023-18 |
From 2020, programming education has become compulsory at elementary schools. Visual programming languages are becoming ... [more] | ET2023-18 pp.1-6 |
| BioX | 2023-10-13 11:00 |
Okinawa | Nobumoto Ohama Memorial Hall | Person Verification Using Evoked Brain Wave by Ultrasound
-- Reduction of Computational Amount by Fusing Features and Generality Found from It -- Kouki Kawakami, Isao Nakanishi (Tottori Univ.) BioX2023-69 |
(To be available after the conference date) [more] | BioX2023-69 pp.52-57 |
| MVE | 2023-09-07 13:25 |
Osaka | (Primary: On-site, Secondary: Online) |
A preliminary attempt to infer sustained attentional state based on electroencephalography Mirei Hayashi, Masayuki Hayashi (NUT), Sae Kawasaki, Takumi Okubo, Yuta Hino, Norimichi Tsumura (Chiba Univ), Hirokazu Doi (NUT) MVE2023-16 |
To promote learning efficiency in educational activities, it is crucial to maintain concentration of learners. As a pre... [more] |
MVE2023-16 pp.11-14 |
| EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] | 2023-07-20 13:50 |
Hokkaido | Muroran Institute of Technology (Primary: On-site, Secondary: Online) |
Source estimation for short latency somatosensory evoked potential induced by median nerve stimulation Niitsu Masamune, Sachiko Kodera, Toshiaki Wasaka, Akimasa Hirata (NITech) EMT2023-17 MW2023-35 OPE2023-17 EST2023-17 MWPTHz2023-13 |
The brain activity can be considered as circuit network activity in the gray matter, and a small current is then generat... [more] | EMT2023-17 MW2023-35 OPE2023-17 EST2023-17 MWPTHz2023-13 pp.43-48 |
| MSS, CAS, SIP, VLD | 2023-07-07 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Study for analyzing theta waves more clinically using the Fujimori method Mitsuki Miyazoe (TUS), Takashi Yoshida (TMCIT), Mitsuo Hayashi (Hiroshima Univ.), Naoyuki Aikawa (TUS) CAS2023-29 VLD2023-29 SIP2023-45 MSS2023-29 |
Napping methods to relieve drowsiness have been attracting attention, and analysis of the quality of napping has been re... [more] | CAS2023-29 VLD2023-29 SIP2023-45 MSS2023-29 pp.147-151 |
| EA, ASJ-H, ASJ-MA, ASJ-SP | 2023-07-03 10:45 |
Hokkaido | An Idea about Pretraining in EEG Domain Xianhua Su (Univ. Yamanashi/HDU), Wanzeng Kong, Xuanyu Jin (HDU), Teruki Toya, Kenji Ozawa (Univ. Yamanashi) EA2023-15 |
Given that pre-training in the EEG domain is currently performed using unsupervised training, this approach can currentl... [more] | EA2023-15 pp.58-63 |
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