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Paper Abstract and Keywords
Presentation 2020-05-14 16:00
An accessibility evaluation of a wheelchair with the sensing acceleration data
Kazuyuki Kaneda, Masaharu Kamohara, Osamu Shiku (NIT, Sasebo College), Toru Kobayashi (Nagasaki Univ.) LOIS2020-2
Abstract (in Japanese) (See Japanese page) 
(in English) We analyze the frequency component of acceleration data for a vibration sensor in a wheelchair, and create the spectrogram images which are constructed by the frequency and the time components of the acceleration data for the wheelchair. Using these spectrogram images, we make an evaluation model for the classification for the vibrations of the wheelchair on running places by the deep learning. In the model making, to evaluate the stress level for wheelchair running, we perform the questioner survey to the persons who are passed on the roads by the wheelchair, and asked them the classification of their accessibility as a wheelchair user, and make an evaluation model according to these classifications. Using the obtained evaluation model, we perform the running experiments with the wheelchair, and evaluate the accessibility of the wheelchair at points on the experiment roads.
Keyword (in Japanese) (See Japanese page) 
(in English) Wheelchair / Acceleration Data / Frequency Spectrum / Spectrogram Image / Classification / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 15, LOIS2020-2, pp. 7-11, May 2020.
Paper # LOIS2020-2 
Date of Issue 2020-05-07 (LOIS) 
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 LOIS2020-2

Conference Information
Committee LOIS IPSJ-SPT IPSJ-CN  
Conference Date 2020-05-14 - 2020-05-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2020-05-LOIS-SPT-GN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An accessibility evaluation of a wheelchair with the sensing acceleration data 
Sub Title (in English)  
Keyword(1) Wheelchair  
Keyword(2) Acceleration Data  
Keyword(3) Frequency Spectrum  
Keyword(4) Spectrogram Image  
Keyword(5) Classification  
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Keyword(7)  
Keyword(8)  
1st Author's Name Kazuyuki Kaneda  
1st Author's Affiliation National Institute of Technology, Sasebo College (NIT, Sasebo College)
2nd Author's Name Masaharu Kamohara  
2nd Author's Affiliation National Institute of Technology, Sasebo College (NIT, Sasebo College)
3rd Author's Name Osamu Shiku  
3rd Author's Affiliation National Institute of Technology, Sasebo College (NIT, Sasebo College)
4th Author's Name Toru Kobayashi  
4th Author's Affiliation Graduate School of Engineering, Nagasaki University (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2020-05-14 16:00:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # LOIS2020-2 
Volume (vol) vol.120 
Number (no) no.15 
Page pp.7-11 
#Pages
Date of Issue 2020-05-07 (LOIS) 


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