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Paper Abstract and Keywords
Presentation 2019-05-29 15:30
[Poster Presentation] Development of Real-time Body Motion Identification System using Radio Channel Characteristics in Wireless BAN
Yuki Ichikawa, Masahiro Mitta, Minseok Kim (Niigata Univ.) RCC2019-7 MICT2019-7
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, a real-time motion identification system is presented which has been developed based on the knowledge obtained through the authors' previous works. At the beginning, we built up a custom wearable BAN channel measurement system with a commercial off-the-shelf sensor network system, where a radio signal strength between four sensors and coordinator could be measured. After preprocessing of interpolation and standardization for the measured raw data, the features are calculated and adjusted, and then body motion is identified by machine learning algorithm. In machine learning, we reduced the number of features based on the correlation of the temporal variation of data. As a result, we confirmed that the processing time of the data could be kept to the level that could be put to practical use, and verified that body motion could actually be identified in real-time.
Keyword (in Japanese) (See Japanese page) 
(in English) machine learning / feature / decision tree / BAN / radio channel / LQI / motion identification /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 59, MICT2019-7, pp. 29-33, May 2019.
Paper # MICT2019-7 
Date of Issue 2019-05-22 (RCC, MICT) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF RCC2019-7 MICT2019-7

Conference Information
Committee RCC MICT  
Conference Date 2019-05-29 - 2019-05-30 
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 2019-05-RCC-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Development of Real-time Body Motion Identification System using Radio Channel Characteristics in Wireless BAN 
Sub Title (in English)  
Keyword(1) machine learning  
Keyword(2) feature  
Keyword(3) decision tree  
Keyword(4) BAN  
Keyword(5) radio channel  
Keyword(6) LQI  
Keyword(7) motion identification  
Keyword(8)  
1st Author's Name Yuki Ichikawa  
1st Author's Affiliation Niigata University (Niigata Univ.)
2nd Author's Name Masahiro Mitta  
2nd Author's Affiliation Niigata University (Niigata Univ.)
3rd Author's Name Minseok Kim  
3rd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-2 
Date Time 2019-05-29 15:30:00 
Presentation Time 120 minutes 
Registration for MICT 
Paper # RCC2019-7, MICT2019-7 
Volume (vol) vol.119 
Number (no) no.58(RCC), no.59(MICT) 
Page pp.29-33 
#Pages
Date of Issue 2019-05-22 (RCC, MICT) 


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