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Paper Abstract and Keywords
Presentation 2023-01-27 13:40
[Invited Talk] Development of a cognitive training system based on an EEG-BMI and its application to the competition "bSports"
Ryohei P. Hasegawa (AIST) CQ2022-77
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Brain-Machine Interface (BMI) / Brainwaves / Event-Related Potential (ERP) / Cognitive Training / Dementia / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 363, CQ2022-77, pp. 91-91, Jan. 2023.
Paper # CQ2022-77 
Date of Issue 2023-01-19 (CQ) 
ISSN Online edition: ISSN 2432-6380
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Conference Information
Committee CQ CBE  
Conference Date 2023-01-26 - 2023-01-27 
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. 
Paper Information
Registration To CQ 
Conference Code 2023-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) 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  
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1st Author's Name Ryohei P. Hasegawa  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
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Speaker Author-1 
Date Time 2023-01-27 13:40:00 
Presentation Time 40 minutes 
Registration for CQ 
Paper # CQ2022-77 
Volume (vol) vol.122 
Number (no) no.363 
Page p.91 
#Pages
Date of Issue 2023-01-19 (CQ) 


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