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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
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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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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)  
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)  
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
Date of Issue 2020-02-27 (IMQ, IE, MVE) 


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