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Paper Abstract and Keywords
Presentation 2022-01-22 15:35
Toward developing bouncing-type model for simulating human running behavior -- Proposal of parameter identification method --
Takuto Otsubo, Yoshikazu Yamanaka, Katsutoshi Yoshida (Utsunomiya Univ.) NLP2021-114 MICT2021-89 MBE2021-75
Abstract (in Japanese) (See Japanese page) 
(in English) The passive running is a method to descend a slope by a running gait only using potential energy. As one of the specific examples, we proposed an extremely simple passive running model named bilateral arcs bouncing model consisting of two arcs which face each other. In this study, we propose a parameter identification method for the bilateral arcs bouncing model in order to reproduce human running behavior. Specifically, a cost function based on maximum absolute error is defined to compare the center of gravity of a human running with that of a bilateral arcs bouncing model. We solved a parameter identification problem to minimize this ost function. As a result, the bilateral arcs bouncing model with the identified parameter eproduced the human running behavior with 97.2% accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Passive Running / Bouncing Model / Parameter Identification / Particle Swarm Optimization / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 335, NLP2021-114, pp. 199-204, Jan. 2022.
Paper # NLP2021-114 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 NLP2021-114 MICT2021-89 MBE2021-75

Conference Information
Committee NLP MICT MBE NC  
Conference Date 2022-01-21 - 2022-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2022-01-NLP-MICT-MBE-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Toward developing bouncing-type model for simulating human running behavior 
Sub Title (in English) Proposal of parameter identification method 
Keyword(1) Passive Running  
Keyword(2) Bouncing Model  
Keyword(3) Parameter Identification  
Keyword(4) Particle Swarm Optimization  
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1st Author's Name Takuto Otsubo  
1st Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
2nd Author's Name Yoshikazu Yamanaka  
2nd Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
3rd Author's Name Katsutoshi Yoshida  
3rd Author's Affiliation Utsunomiya University (Utsunomiya Univ.)
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Speaker Author-1 
Date Time 2022-01-22 15:35:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2021-114, MICT2021-89, MBE2021-75 
Volume (vol) vol.121 
Number (no) no.335(NLP), no.336(MICT), no.337(MBE) 
Page pp.199-204 
#Pages 6 
Date of Issue 2022-01-14 (NLP, MICT, MBE) 

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