Paper Abstract and Keywords |
Presentation |
2020-10-09 11:45
Investigation of myoelectric potential features effective for predicting falling of objects due to slippage Shohei Terada, Masahiro Migita, Masashi Toda (Kumamoto Univ.), Kazuaki Kondo (kyoto Univ.), Junichi Akita (Kanazawa Univ.), Yuichi Nakamura (kyoto Univ.) HIP2020-45 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, sensing technology that appropriately detects a person's intention and state from surface EMG signals generated when trying to move muscles has been used in the development of power assist robots that assist human movements along with the development of machine control technology. Various types of power assisted robots have been developed according to the intention and state of a person, such as a care robot that assists a person in walking and a work robot that assists in lifting a heavy object. Therefore, in this research, we focused on the unstable state due to slippage when holding an object, which is a major obstacle in the movement of a person to hold an object stably. The purpose of this research is to sense the unstable state due to slippage, which is necessary for the development of a power assist robot that supports the holding of objects before dropping. In the experiment, we prepared objects with different slips and measured myoelectric potentials when a person was holding them, and investigated whether there are any features unique to holding a slipping object. It was found that there is a significant difference in the muscle activity of humans and the correlation between the main muscle and the antagonist muscle. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
myelectric signal / muscle activity / wavelet coherence analysis / slip and streaks / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 185, HIP2020-45, pp. 65-69, Oct. 2020. |
Paper # |
HIP2020-45 |
Date of Issue |
2020-10-01 (HIP) |
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) |
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HIP2020-45 |
Conference Information |
Committee |
HIP |
Conference Date |
2020-10-08 - 2020-10-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Eye Movement (including Accommodation and Pupil), Spatial Perception (Depth Perception, Motion Perception, etc.), etc. |
Paper Information |
Registration To |
HIP |
Conference Code |
2020-10-HIP |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Investigation of myoelectric potential features effective for predicting falling of objects due to slippage |
Sub Title (in English) |
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Keyword(1) |
myelectric signal |
Keyword(2) |
muscle activity |
Keyword(3) |
wavelet coherence analysis |
Keyword(4) |
slip and streaks |
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1st Author's Name |
Shohei Terada |
1st Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
2nd Author's Name |
Masahiro Migita |
2nd Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
3rd Author's Name |
Masashi Toda |
3rd Author's Affiliation |
Kumamoto University (Kumamoto Univ.) |
4th Author's Name |
Kazuaki Kondo |
4th Author's Affiliation |
Kyoto University (kyoto Univ.) |
5th Author's Name |
Junichi Akita |
5th Author's Affiliation |
Kanazawa University (Kanazawa Univ.) |
6th Author's Name |
Yuichi Nakamura |
6th Author's Affiliation |
Kyoto University (kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-10-09 11:45:00 |
Presentation Time |
25 minutes |
Registration for |
HIP |
Paper # |
HIP2020-45 |
Volume (vol) |
vol.120 |
Number (no) |
no.185 |
Page |
pp.65-69 |
#Pages |
5 |
Date of Issue |
2020-10-01 (HIP) |