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| Presentation | 2011-10-13 09:40 Robust Finger Motion Classification using Surface Electromyogram singnals Considering Muscle Fatigue Keisuke Ishikawa, Masashi Toda, Shigeru Sakurazawa (FUN), Junichi Akita (Kanazawa University), Kazuaki Kondo, Yuichi Nakamura (Kyoto University)  MVE2011-32 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Now, finger motion classification using surface electromyogram signals(EMG) is applied to a myoelectric prosthetic hand is often used to pattern classification methods. It can classify the motion with great accuracy. However, it has the problem that classification precision falls to change the feature quantity of EMG with the muscle fatigure. In this study, we have addressd this problem, and aims to the robust finger motion classification to the change of EMG feature to the muscle fatige. In this paper, we tested the change of EMG feature before and after the muscle fatigue and the accuracy of the finger motion classification sing SVM considering muscle fatigue. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Surface electromyogram signals / Motion classification / Muscle fatigue / Support Vector Machine / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 111, no. 235, MVE2011-32, pp. 5-9, Oct. 2011. | |
| Paper # | MVE2011-32 | |
| Date of Issue | 2011-10-06 (MVE) | |
| ISSN | Print edition: ISSN 0913-5685 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 | MVE2011-32 |
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| Conference Information | |
| Committee | MVE HI-SIG-VR |
| Conference Date | 2011-10-13 - 2011-10-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MVE |
| Conference Code | 2011-10-MVE-SIG-VR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Robust Finger Motion Classification using Surface Electromyogram singnals Considering Muscle Fatigue |
| Sub Title (in English) | |
| Keyword(1) | Surface electromyogram signals |
| Keyword(2) | Motion classification |
| Keyword(3) | Muscle fatigue |
| Keyword(4) | Support Vector Machine |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Keisuke Ishikawa |
| 1st Author's Affiliation | Future University Hakodate (FUN) |
| 2nd Author's Name | Masashi Toda |
| 2nd Author's Affiliation | Future University Hakodate (FUN) |
| 3rd Author's Name | Shigeru Sakurazawa |
| 3rd Author's Affiliation | Future University Hakodate (FUN) |
| 4th Author's Name | Junichi Akita |
| 4th Author's Affiliation | Kanazawa University (Kanazawa University) |
| 5th Author's Name | Kazuaki Kondo |
| 5th Author's Affiliation | Kyoto University (Kyoto University) |
| 6th Author's Name | Yuichi Nakamura |
| 6th Author's Affiliation | Kyoto University (Kyoto University) |
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| Speaker | Author-1 |
| Date Time | 2011-10-13 09:40:00 |
| Presentation Time | 25 minutes |
| Registration for | MVE |
| Paper # | MVE2011-32 |
| Volume (vol) | vol.111 |
| Number (no) | no.235 |
| Page | pp.5-9 |
| #Pages | 5 |
| Date of Issue | 2011-10-06 (MVE) |
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