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| Presentation | 2018-12-15 10:25 Identification of grasping and extending motion with input of surface EMG signal of hand intrinsic muscles Ryuichi Arako, Ayumu Tsuboi, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.)  MBE2018-51 |
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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. In this article, we used a wearable glove type device based on myoelectric information on the back of hands and measured the myoelectricity of the five subjects to grasp and extend motion, and compared the results of intra-subjects and inter-subjects. As a result, the accuracy of the classifier using the convolutional neural network was the highest, and the discrimination accuracy of 95.79 % in case of the intra-subjects and 93.51 % in case of the inter-subjects was recorded. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | EMG / hand / finger / intrinsic muscles / gesture recognition / interface / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 366, MBE2018-51, pp. 5-9, Dec. 2018. | |
| Paper # | MBE2018-51 | |
| Date of Issue | 2018-12-08 (MBE) | |
| 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 | MBE2018-51 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2018-12-15 - 2018-12-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2018-12-NC-MBE |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identification of grasping and extending motion with input of surface EMG signal 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 | Ryuichi Arako |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Ayumu Tsuboi |
| 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 | 2018-12-15 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2018-51 |
| Volume (vol) | vol.118 |
| Number (no) | no.366 |
| Page | pp.5-9 |
| #Pages | 5 |
| Date of Issue | 2018-12-08 (MBE) |
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