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 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CQ2022-77 |
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) |
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Brain-Machine Interface (BMI) |
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Brainwaves |
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Event-Related Potential (ERP) |
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Cognitive Training |
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Dementia |
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1st Author's Name |
Ryohei P. Hasegawa |
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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 |
1 |
Date of Issue |
2023-01-19 (CQ) |
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