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| Presentation | 2017-12-16 13:50 Development of a Glove Type User Interface with Input of Surface EMG Signals of Hand Intrinsic Muscles Ayumu Tsuboi, Junki Sato, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.)  MBE2017-60 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and the fingers which include intrinsic muscles. Precise discrimination is possible by using surface electromyography(sEMG) of the intrinsic muscle in delicate finger motion analysis. Since wet electrodes are often used in myoelectric measurement, we aim to realize the development of a new user interface based on EMG information of the fingers, and we developed a wearable glove type electrode using dry electrodes. Using this glove, we measured the myoelectric potential of ten subjects during the tapping operation, and tapping gesture discrimination was performed between the same subjects and between different subjects. As a result, while the discrimination accuracy of similar studies of tapping motion discrimination is 85.77%, the accuracy in our experiments using theglove recorded 90.28% and suggested significance as an EMG-based interface. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | EMG / hand / finger / intrinsic muscles / gesture recognition / interface / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 360, MBE2017-60, pp. 39-44, Dec. 2017. | |
| Paper # | MBE2017-60 | |
| Date of Issue | 2017-12-09 (MBE) | |
| 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 | MBE2017-60 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2017-12-16 - 2017-12-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2017-12-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Development of a Glove Type User Interface with Input of Surface EMG Signals of Hand Intrinsic Muscles |
| Sub Title (in English) | |
| Keyword(1) | EMG |
| Keyword(2) | hand |
| Keyword(3) | finger |
| Keyword(4) | intrinsic muscles |
| Keyword(5) | gesture recognition |
| Keyword(6) | interface |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Ayumu Tsuboi |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Junki Sato |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Mamoru Hirota |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Masayuki Yokoyama |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
| 5th Author's Name | Masao Yanagisawa |
| 5th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-12-16 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2017-60 |
| Volume (vol) | vol.117 |
| Number (no) | no.360 |
| Page | pp.39-44 |
| #Pages | 6 |
| Date of Issue | 2017-12-09 (MBE) |
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