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Paper Abstract and Keywords
Presentation 2022-03-04 16:25
A synchronized measurement system for WBAN channel modeling by human motion parameters
Akira Saito, Takahiro Aoyagi (Tokyo Tech) MICT2021-111
Abstract (in Japanese) (See Japanese page) 
(in English) The development of WBAN channel models requires a lot of experiments and simulations. In order to reduce the number of experiments and simulations, this research group has proposed a concept of WBAN channel modeling method using human motion as a parameter. However, although we have studied the method of generating the human posture model for the simulation calculation related to this method, the measurement of human motion and channel by experiment has not been conducted yet. Therefore, we developed a human motion-receiver signal strength synchronization measurement system to acquire the human motion information and the received signal strength(RSSI) of the whole body during a specific motion, synchronized by motion capture(MOCAP) and wireless equipment(BLE), for the purpose of using it for the experiment of parameterization of human motion. The synchronization operation for synchronizing MOCAP and BLE and the data processing method for synchronization were studied, and it was confirmed that the synchronization measurement can be performed well. We also verified the operation of the measurement system and the possibility of channel modeling based on human motion parameters. Using the measured human motion and RSSI data, we predicted the RSSI of the future time based on the past human motion using two machine learning methods, RNN(Recurrent neural network) and LSTM(Long short-term memory). As a result, it was found that the RSSI in the future can be predicted to some extent from the past values of human body movements. If we can predict the future RSSI variation, it will lead to the modeling of channel variation, and the above results confirm the possibility of channel modeling.
Keyword (in Japanese) (See Japanese page) 
(in English) WBAN / channel modeling / synchronous measurement / time-series forecasting / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 404, MICT2021-111, pp. 53-58, March 2022.
Paper # MICT2021-111 
Date of Issue 2022-02-25 (MICT) 
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)
Download PDF MICT2021-111

Conference Information
Committee MICT EMCJ  
Conference Date 2022-03-04 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Healthcare and Medical Information Communication Technologies, EMC, etc 
Paper Information
Registration To MICT 
Conference Code 2022-03-MICT-EMCJ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A synchronized measurement system for WBAN channel modeling by human motion parameters 
Sub Title (in English)  
Keyword(1) WBAN  
Keyword(2) channel modeling  
Keyword(3) synchronous measurement  
Keyword(4) time-series forecasting  
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1st Author's Name Akira Saito  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Takahiro Aoyagi  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2022-03-04 16:25:00 
Presentation Time 20 minutes 
Registration for MICT 
Paper # MICT2021-111 
Volume (vol) vol.121 
Number (no) no.404 
Page pp.53-58 
#Pages 6 
Date of Issue 2022-02-25 (MICT) 

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