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Presentation 2020-03-03 10:15
Design and Evaluation of a Wi-Fi Backscatter Sensor for Activity Recognition
Toru Maeda (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Teruo Higashino (Osaka Univ.) SeMI2019-134
Abstract (in Japanese) (See Japanese page) 
(in English) Human activity recognition (HAR) has been attracting people for ubiquitous systems such as healthcare, elderly care, and so on. HAR usually uses smartphones and smartwatches. However, those devices require maintenance for battery charge or replacement. To overcome this problem, we design a Wi-Fi backscatter sensor for ultra-low-power HAR. Backscatter sensors are attached to parts of human bodies (e.g., arms and shoes) and wearable things such as bags and nametags. To change states of the generation of backscatter signals, we employ physical switching by human motions. Then, we extract human motions by observing the shifts in the state of the existence of the backscatter signal. To investigate the feasibility of HAR, we develop a pedometer by the backscatter sensor. From the evaluation results, we have confirmed that the backscatter signal is detectable in a $3.5m times 7m$ room, and the step count error is up to 2% with 5.2 $mu$W energy consumption.
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(in English) / / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 436, SeMI2019-134, pp. 185-190, March 2020.
Paper # SeMI2019-134 
Date of Issue 2020-02-24 (SeMI) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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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Conference Information
Conference Date 2020-03-02 - 2020-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2020-03-SeMI-MBL-UBI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design and Evaluation of a Wi-Fi Backscatter Sensor for Activity Recognition 
Sub Title (in English)  
1st Author's Name Toru Maeda  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Akira Uchiyama  
2nd Author's Affiliation Osaka University/JST PRESTO (Osaka Univ./JST PRESTO)
3rd Author's Name Teruo Higashino  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Date Time 2020-03-03 10:15:00 
Presentation Time 25 
Registration for SeMI 
Paper # IEICE-SeMI2019-134 
Volume (vol) IEICE-119 
Number (no) no.436 
Page pp.185-190 
#Pages IEICE-6 
Date of Issue IEICE-SeMI-2020-02-24 

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