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 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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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) |
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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) |
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Keyword(1) |
Wheelchair |
Keyword(2) |
Acceleration Data |
Keyword(3) |
Frequency Spectrum |
Keyword(4) |
Spectrogram Image |
Keyword(5) |
Classification |
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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 |
5 |
Date of Issue |
2020-05-07 (LOIS) |
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