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Presentation 2022-01-21 09:20
[Short Paper] A Preliminary Study on Activity Recognition by Wi-Fi Imaging
Kazuki Okawara (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Viktor Erdelyi (Osaka Univ.), Tomoki Murakami, Hirantha Abeysekera (NTT), Teruo Higashino (Osaka Univ.) SeMI2021-72
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, research on human activity recognition using Wi-Fi has been widely conducted.Wi-Fi can solve problems such as cost and privacy, but it also has challenges that require learning for each environment. In order to solve this problem, we use Wision, which is an imaging method that uses a receiving antenna array to calculate the intensity of radio waves in each direction. Wision uses a geometrically determined phase difference based on the angle of arrival and receiving antenna distance to calculate the intensity in each direction. Therefore, it is possible to do imaging independent of the environment. If the position and posture of a person can be recognized from the imaging results, it is expected to be applied to human position estimation and activity recognition. In this paper, we implemented Wision using an array of four receiving antennas, and investigated the activity recognition by imaging. As a result of experiments conducted in an environment where there is no reflection of radio waves from the surroundings, we confirmed that the imaging results change according to the human activities in the range of 60 to 120 degrees from the plane of the antenna array.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensing / Wi-Fi Imaging / Activity Recognition / / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 333, SeMI2021-72, pp. 75-79, Jan. 2022.
Paper # SeMI2021-72 
Date of Issue 2022-01-13 (SeMI) 
ISSN 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
Committee SeMI  
Conference Date 2022-01-20 - 2022-01-21 
Place (in Japanese) (See Japanese page) 
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Paper Information
Registration To SeMI 
Conference Code 2022-01-SeMI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Preliminary Study on Activity Recognition by Wi-Fi Imaging 
Sub Title (in English)  
Keyword(1) Wireless Sensing  
Keyword(2) Wi-Fi Imaging  
Keyword(3) Activity Recognition  
1st Author's Name Kazuki Okawara  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Akira Uchiyama  
2nd Author's Affiliation Osaka University/Japan Science and Technology Agency, PRESTO (Osaka Univ./JST PRESTO)
3rd Author's Name Viktor Erdelyi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Tomoki Murakami  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Hirantha Abeysekera  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Teruo Higashino  
6th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2022-01-21 09:20:00 
Presentation Time 10 minutes 
Registration for SeMI 
Paper # SeMI2021-72 
Volume (vol) vol.121 
Number (no) no.333 
Page pp.75-79 
Date of Issue 2022-01-13 (SeMI) 

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