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Paper Abstract and Keywords
Presentation 2017-12-19 13:00
Tracking 1D Hand Motion Directivity by Estimating Doppler Frequency of CSI Information from Commodity Wi-Fi Devices
Nopphon Keerativoranan, Jun-ichi Takada (Titech) MW2017-145
Abstract (in Japanese) (See Japanese page) 
(in English) Device-free hand motion tracking in the air becomes an essential tool for today human-computing interaction applications such as smart home, virtual and augmented reality. Typical tracking, mostly a camera-based application, has some limitations; small tracking coverage, surrounding light dependency, and requirement of obstacle-free area. In this report, we show the possibility of tracking 1D hand motion by exploiting channel state information (CSI) from commercial Wi-Fi infrastructure. Empirically, it was proved that, after removing linear phase offset, sanitized CSI could be sufficiently reconstructed from its sanitized phase and amplitude where motion pattern and directivity are well-preserved. In the experiment, the velocity profile of hand moving toward and away from Wi-Fi receiver was retrieved as a temporal-Doppler representation by taking Wavelet transform of sanitized CSI. Moreover, it was found that this motion pattern, unfortunately, could be able to retrieve at only some subcarriers. According to our observation, it is possibly due to amplitude fading and an anomaly phase jump during sanitization resulting in directivity losing after reconstruction of Sanitized CSI.
Keyword (in Japanese) (See Japanese page) 
(in English) Channel state information / Wireless LAN / Motion detection / Human computer interaction / Doppler effect / Wavelet transforms / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 366, MW2017-145, pp. 19-24, Dec. 2017.
Paper # MW2017-145 
Date of Issue 2017-12-12 (MW) 
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 MW2017-145

Conference Information
Committee MW  
Conference Date 2017-12-19 - 2017-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MW 
Conference Code 2017-12-MW 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Tracking 1D Hand Motion Directivity by Estimating Doppler Frequency of CSI Information from Commodity Wi-Fi Devices 
Sub Title (in English)  
Keyword(1) Channel state information  
Keyword(2) Wireless LAN  
Keyword(3) Motion detection  
Keyword(4) Human computer interaction  
Keyword(5) Doppler effect  
Keyword(6) Wavelet transforms  
Keyword(7)  
Keyword(8)  
1st Author's Name Nopphon Keerativoranan  
1st Author's Affiliation Tokyo Institute of Technology (Titech)
2nd Author's Name Jun-ichi Takada  
2nd Author's Affiliation Tokyo Institute of Technology (Titech)
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Speaker Author-1 
Date Time 2017-12-19 13:00:00 
Presentation Time 25 minutes 
Registration for MW 
Paper # MW2017-145 
Volume (vol) vol.117 
Number (no) no.366 
Page pp.19-24 
#Pages 6 
Date of Issue 2017-12-12 (MW) 

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