Paper Abstract and Keywords |
Presentation |
2020-03-05 15:45
Walking Balance Evaluation Based on Load Sensor of Walking Support Robot Naoto Okada (Nagoya Univ.), Mayu Yokoya, Kazunori Yamada (Panasonic Co., Ltd.), Naoto Yoshida, Yu Enokibori, Kenji Mase (Nagoya Univ.) IMQ2019-51 IE2019-133 MVE2019-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the increasing of elderly population, it is desired that elderly people can send healthy longevity lifestyle. Working on fall prevention through balance capability measurement is particularly important for the elderly because they are at high risk of falls due to frail. In this study, we examine a method to estimate the user’s balance capability from data measured by a push-type walking support robot. The user’s balance capability was indexed by applying a method used in the walking analysis with IMU on to the handle load data of the walking support robot. It was examined whether the index calculated from walking data is effective for balance capability evaluation by correlation analysis of the index and the physical ability measurement score. The results show that the left-right step symmetricity in the vertical force to ground is highly correlated to the physical muscle strength and balance ability. It is also suggested the stability over step cycle is moderately correlated to the physical muscle strength. These results indicate that the user’s physical ability can be evaluated from the load on the handle measured by the walking support robot. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
walking support robot / gait analysis / balance capability / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 457, MVE2019-72, pp. 183-188, March 2020. |
Paper # |
MVE2019-72 |
Date of Issue |
2020-02-27 (IMQ, IE, 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 |
IMQ2019-51 IE2019-133 MVE2019-72 |
Conference Information |
Committee |
IE IMQ MVE CQ |
Conference Date |
2020-03-05 - 2020-03-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyushu Institute of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
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Paper Information |
Registration To |
MVE |
Conference Code |
2020-03-IE-IMQ-MVE-CQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Walking Balance Evaluation Based on Load Sensor of Walking Support Robot |
Sub Title (in English) |
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Keyword(1) |
walking support robot |
Keyword(2) |
gait analysis |
Keyword(3) |
balance capability |
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1st Author's Name |
Naoto Okada |
1st Author's Affiliation |
Nagoya University (Nagoya Univ.) |
2nd Author's Name |
Mayu Yokoya |
2nd Author's Affiliation |
Panasonic Corporation, Limited (Panasonic Co., Ltd.) |
3rd Author's Name |
Kazunori Yamada |
3rd Author's Affiliation |
Panasonic Corporation, Limited (Panasonic Co., Ltd.) |
4th Author's Name |
Naoto Yoshida |
4th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
5th Author's Name |
Yu Enokibori |
5th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
6th Author's Name |
Kenji Mase |
6th Author's Affiliation |
Nagoya University (Nagoya Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-03-05 15:45:00 |
Presentation Time |
25 minutes |
Registration for |
MVE |
Paper # |
IMQ2019-51, IE2019-133, MVE2019-72 |
Volume (vol) |
vol.119 |
Number (no) |
no.454(IMQ), no.456(IE), no.457(MVE) |
Page |
pp.183-188 |
#Pages |
6 |
Date of Issue |
2020-02-27 (IMQ, IE, MVE) |
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