Paper Abstract and Keywords |
Presentation |
2021-01-21 14:10
[Poster Presentation]
A Simulation Study on WiFi Imaging for Object Identification Yukiho Morita, Yoshihiro Nakagawa (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Teruo Higashino (Osaka Univ.) SeMI2020-53 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, sensing using WiFi signals (wireless sensing) has been attracting attention as maintenance-free behavior recognition. Wireless sensing uses signal fluctuations caused by the movement of people and things for behavior recognition. Since we can use existing equipments such as WiFi base stations, the deployment cost for wireless sensing is low. Moreover, it does not require additional maintenance costs for charging or battery replacement. However, wireless sensing has the problem that it is difficult to identify multiple targets. Therefore, the goal of this research is to design a method for identifying people and things using WiFi. In WiFi imaging, the signal intensity in each direction of arrival is visualized like a camera by the same principle as the estimation of the angle of arrival of signals using an antenna array. In this paper, we investigated the WiFi imaging performance by simulation in order to realize object identification. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
WiFi Imaging / Wireless Sensing / Object Identification / Behavior Recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 315, SeMI2020-53, pp. 57-62, Jan. 2021. |
Paper # |
SeMI2020-53 |
Date of Issue |
2021-01-13 (SeMI) |
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) |
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SeMI2020-53 |
Conference Information |
Committee |
SeMI |
Conference Date |
2021-01-20 - 2021-01-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
SeMI |
Conference Code |
2021-01-SeMI |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Simulation Study on WiFi Imaging for Object Identification |
Sub Title (in English) |
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Keyword(1) |
WiFi Imaging |
Keyword(2) |
Wireless Sensing |
Keyword(3) |
Object Identification |
Keyword(4) |
Behavior Recognition |
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1st Author's Name |
Yukiho Morita |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Yoshihiro Nakagawa |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Akira Uchiyama |
3rd Author's Affiliation |
Osaka University/Japan Science and Technology Agency, PRESTO (Osaka Univ./JST PRESTO) |
4th Author's Name |
Teruo Higashino |
4th Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-01-21 14:10:00 |
Presentation Time |
60 minutes |
Registration for |
SeMI |
Paper # |
SeMI2020-53 |
Volume (vol) |
vol.120 |
Number (no) |
no.315 |
Page |
pp.57-62 |
#Pages |
6 |
Date of Issue |
2021-01-13 (SeMI) |
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