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| Presentation | 2023-01-27 09:20 Identification of Hand Grasping Movement Based on EEG Feature Extraction Reo Shoji, Jianqing Wang (NITech)  EMCJ2022-73 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands for patients with arm defects, but also for the extension of body functions for people without arm defects. Therefore, it is necessary to clarify the characteristics of the brain waves generated by the actions performed. In this study, we detected the electroencephalogram generated when the hand is opened and closed, extracted the features by using supervised learning, and examined the possibility of distinguishing between the gripping motion and the opening motion based on the features. As a result, it was found that the β wave of brain waves is suitable for discriminating "grasping movements", and a correct answer rate of about 80% was obtained by using more teacher data than the number of motion data to be judged. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | EEG / Wearable robots / Brain Computer Interface / Extract Features / Common Spatial Pattern / Liner Discriminant Analysis / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 372, EMCJ2022-73, pp. 6-11, Jan. 2023. | |
| Paper # | EMCJ2022-73 | |
| Date of Issue | 2023-01-20 (EMCJ) | |
| 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) | |
| Download PDF | EMCJ2022-73 |
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| Conference Information | |
| Committee | EMCJ |
| Conference Date | 2023-01-27 - 2023-01-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | WASHU BLUE RESORT |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | EMCJ |
| Conference Code | 2023-01-EMCJ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identification of Hand Grasping Movement Based on EEG Feature Extraction |
| Sub Title (in English) | |
| Keyword(1) | EEG |
| Keyword(2) | Wearable robots |
| Keyword(3) | Brain Computer Interface |
| Keyword(4) | Extract Features |
| Keyword(5) | Common Spatial Pattern |
| Keyword(6) | Liner Discriminant Analysis |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Reo Shoji |
| 1st Author's Affiliation | Nagoya Institute of Technology (NITech) |
| 2nd Author's Name | Jianqing Wang |
| 2nd Author's Affiliation | Nagoya Institute of Technology (NITech) |
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| Speaker | Author-1 |
| Date Time | 2023-01-27 09:20:00 |
| Presentation Time | 20 minutes |
| Registration for | EMCJ |
| Paper # | EMCJ2022-73 |
| Volume (vol) | vol.122 |
| Number (no) | no.372 |
| Page | pp.6-11 |
| #Pages | 6 |
| Date of Issue | 2023-01-20 (EMCJ) |
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