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Paper Abstract and Keywords
Presentation 2018-05-24 13:00
[Poster Presentation] Investigation of Feature Reduction for Body Motion Identification using Radio Channel Characteristics in Wireless BAN
Yuki Ichikawa, Minseok Kim (Niigata Univ.) RCC2018-4 MICT2018-4
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, the reduction of the features used for human motion classification using decision tree machine learning algorithm has been investigated.We developed a custom wearable BAN channel measurement system using a commercial cheap product of a sensor network, where a radio signal strength between four sensors and coordinator can be measured. After preprocessing of interpolation and denoising for the raw data, the time domain features are calculated by varying the sample window sizes where six window sizes were chosen from the period of the body motion.After that, Feature Importance was calculated for feature reduction.As a result, we clarified that the sensor can be reduced to those in the vicinity of the coordinator when the sample window size used for feature calculation is set to about half of the maximum period of the body motions, and that Mean Value Slope is not involved for classification.
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. 118, no. 54, MICT2018-4, pp. 17-20, May 2018.
Paper # MICT2018-4 
Date of Issue 2018-05-17 (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 RCC2018-4 MICT2018-4

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) Investigation of Feature Reduction for Body Motion Identification 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 Minseok Kim  
2nd Author's Affiliation Niigata University (Niigata Univ.)
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Speaker Author-1 
Date Time 2018-05-24 13:00:00 
Presentation Time 240 minutes 
Registration for MICT 
Paper # RCC2018-4, MICT2018-4 
Volume (vol) vol.118 
Number (no) no.53(RCC), no.54(MICT) 
Page pp.17-20 
#Pages 4 
Date of Issue 2018-05-17 (RCC, MICT) 

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