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| Presentation | 2015-06-19 10:25 A new approach for gesture recognition by EMG sensors Yoichi Nagashima (SUAC)  PRMU2015-54 SP2015-23 WIT2015-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This is a experimental report about an application with EMG sensing. I have developed some generation of EMG sensors, and have used them as new interfaces for musical expression. As a next step, I tested to recognize gestures of palm with 4-channel EMG sensor using 200band FFT analysis (realtime pattern matching). Just now I develop slight algorithm called "Lissajous Analysis" and got better result to recognize gestures of palm with 8-channel EMG sensor using realtime pattern matching. The key point is the visual biofeedback of the system. All subjects generate different parameters with gestures of the palm, there was not “general” rule of EMG gesture. Each subject has special parameter patterns compared to the whole subjects, and I showed the score of the special parameters to the subject with growing bar-graph in real time. The subject did not know the meaning of each control about parameters, but the score grew better by trying to relax and/or make tension unconsciously. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | EMG sensor / Gesture Analyze / Realtime Recognition / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 98, PRMU2015-54, pp. 131-136, June 2015. | |
| Paper # | PRMU2015-54 | |
| Date of Issue | 2015-06-11 (PRMU, SP, WIT) | |
| 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 | PRMU2015-54 SP2015-23 WIT2015-23 |
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| Conference Information | |
| Committee | WIT SP ASJ-H PRMU |
| Conference Date | 2015-06-18 - 2015-06-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2015-06-WIT-SP-H-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A new approach for gesture recognition by EMG sensors |
| Sub Title (in English) | |
| Keyword(1) | EMG sensor |
| Keyword(2) | Gesture Analyze |
| Keyword(3) | Realtime Recognition |
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| 1st Author's Name | Yoichi Nagashima |
| 1st Author's Affiliation | Shizuoka University of Art and Culture (SUAC) |
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| Speaker | Author-1 |
| Date Time | 2015-06-19 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | PRMU |
| Paper # | PRMU2015-54, SP2015-23, WIT2015-23 |
| Volume (vol) | vol.115 |
| Number (no) | no.98(PRMU), no.99(SP), no.100(WIT) |
| Page | pp.131-136 |
| #Pages | 6 |
| Date of Issue | 2015-06-11 (PRMU, SP, WIT) |
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