Presentation | 2023-01-27 [Invited Talk] Development of a cognitive training system based on an EEG-BMI and its application to the competition "bSports" Ryohei P. Hasegawa, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, there has been a growing movement to put the Brain-Machine Interface (BMI), which directly connects the brain and machines, to practical use in the medical, welfare, and health fields. The PI at AIST has developed BMI-related hardware and software; e.g., a convenient headgear to record high-quality brainwave data (electroencephalogram; EEG) and analytical methods to detect a cognitive component of EEG (Event-Related Potential; ERP). These core technologies allow us to use the brainwave signal as a switch to control external devices (Brain Switch). A cognitive training system "Neurotrainer????" combines the Brain Switch with existing systems such as humanoid robots and VR games for effective neurofeedback. The assumed users of this system are wide-ranging, including elderly people who are at high risk of dementia prevention, patients who are bedridden for a long time, and young people who are interested in esports. Therefore, competitive game events using Neurotrainer ("b-sports''), as a social activity that transcends generational differences and the presence or absence of disabilities, will contribute to the promotion of public health and the development of new industries. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Brain-Machine Interface (BMI) / Brainwaves / Event-Related Potential (ERP) / Cognitive Training / Dementia |
Paper # | CQ2022-77 |
Date of Issue | 2023-01-19 (CQ) |
Conference Information | |
Committee | CQ |
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Conference Date | 2023/1/26(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Epochal Tsukuba International Congress Center |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | AR/VR, Broadcasting Service, Video/Voice Services Quality, High Realistic, User Behavior/Psychology, User Experience, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, Machine Learning, etc. |
Chair | Jun Okamoto(NTT) |
Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) |
Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) |
Assistant | Kimiko Kawashima(NTT) / Ryo Nakamura(Fukuoka Univ.) / Toshiro Nakahira(NTT) / Kenta Tsukatsune(岡山理科大) |
Paper Information | |
Registration To | Technical Committee on Communication Quality |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Invited Talk] Development of a cognitive training system based on an EEG-BMI and its application to the competition "bSports" |
Sub Title (in English) | |
Keyword(1) | Brain-Machine Interface (BMI) |
Keyword(2) | Brainwaves |
Keyword(3) | Event-Related Potential (ERP) |
Keyword(4) | Cognitive Training |
Keyword(5) | Dementia |
1st Author's Name | Ryohei P. Hasegawa |
1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
Date | 2023-01-27 |
Paper # | CQ2022-77 |
Volume (vol) | vol.122 |
Number (no) | CQ-363 |
Page | pp.pp.91-91(CQ), |
#Pages | 1 |
Date of Issue | 2023-01-19 (CQ) |