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Paper Abstract and Keywords
Presentation 2018-05-24 13:00
[Poster Presentation] Physical Activity Measurement and Analysis Using Accelerometer Sensors and Body Area Network for Wheelchair Users
Takumi Kobayashi (YNU), Takeshi Nakamura (YCU), Osamu Yokoyama, Tomoyuki Murata (KRC), Ryuji Kohno (YNU) RCC2018-5 MICT2018-5
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, it has been pointed out that the decrease of the physical activity level of patients with lower limb paralysis may causes systemic symptoms. It is well studied that measure and analyze physical activity of the patients while they are rehabilitating. However, the measurement and analysis are quite difficult to be performed in their daily life such as home and work place. In our research with collaborated with rehabilitation hospital, we developed a physical activity monitoring system by using multiple accelerometers on both ob the patient and wheelchair. These acceleration data is transmitted by dependable Body Area Network (BAN) which is designed to be used to medical purpose and standardized. In this report, we explain more detail of developed physical activity measurement system and the results of experiment to measurement of number of acceleration and position (sitting or lying) of the patient.
Keyword (in Japanese) (See Japanese page) 
(in English) Rehabilitation / Physical Activity Analysis / Accelerometer / Body Area Network / Wheelchair / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 54, MICT2018-5, pp. 21-24, May 2018.
Paper # MICT2018-5 
Date of Issue 2018-05-17 (RCC, MICT) 
ISSN Print edition: ISSN 0913-5685    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 RCC2018-5 MICT2018-5

Conference Information
Committee RCC MICT  
Conference Date 2018-05-24 - 2018-05-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Big Sight 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MICT 
Conference Code 2018-05-RCC-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Physical Activity Measurement and Analysis Using Accelerometer Sensors and Body Area Network for Wheelchair Users 
Sub Title (in English)  
Keyword(1) Rehabilitation  
Keyword(2) Physical Activity Analysis  
Keyword(3) Accelerometer  
Keyword(4) Body Area Network  
Keyword(5) Wheelchair  
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1st Author's Name Takumi Kobayashi  
1st Author's Affiliation Yokohama National University (YNU)
2nd Author's Name Takeshi Nakamura  
2nd Author's Affiliation Yokohama City University (YCU)
3rd Author's Name Osamu Yokoyama  
3rd Author's Affiliation Kanagawa Rehabilitation Hospital (KRC)
4th Author's Name Tomoyuki Murata  
4th Author's Affiliation Kanagawa Rehabilitation Hospital (KRC)
5th Author's Name Ryuji Kohno  
5th Author's Affiliation Yokohama National University (YNU)
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Speaker Author-1 
Date Time 2018-05-24 13:00:00 
Presentation Time 240 minutes 
Registration for MICT 
Paper # RCC2018-5, MICT2018-5 
Volume (vol) vol.118 
Number (no) no.53(RCC), no.54(MICT) 
Page pp.21-24 
#Pages
Date of Issue 2018-05-17 (RCC, MICT) 


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