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Paper Abstract and Keywords
Presentation 2016-01-28 10:20
Room-Level Proximity Detection Based on RSS of dual-band Wi-Fi Signals From Multiple Access Points
Yugo Agata, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) ASN2015-82
Abstract (in Japanese) (See Japanese page) 
(in English) Proximity information of users can be used in various applications (e.g., user interactions in social networks). Applying conventional works to room-level proximity detection is difficult, because there is a limitation of the proximity range within 5 m. In this report, we propose a room-level proximity detection method based on the similarity of received information of Wi-Fi signals between users. We use Wi-Fi signals in both 2.4 GHz band and 5 GHz band, and extract relevant features that indicate the similarity of received signal strength (RSS) of beacon frames and access points (APs) sets from which users receive them. Through extensive experiments, in which we recognize whether or not users exist in the same room with a size approximately from 10 to 15m square, we demonstrate that our proposed method realizes room-level proximity detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Proximity Detection / Received Signal Strength / Wi-Fi / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 437, ASN2015-82, pp. 15-20, Jan. 2016.
Paper # ASN2015-82 
Date of Issue 2016-01-21 (ASN) 
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
Committee MICT ASN MoNA  
Conference Date 2016-01-28 - 2016-01-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Hotel Okada 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ambient intelligence, ICT for Medical, Healthcare and Sports, etc 
Paper Information
Registration To ASN 
Conference Code 2016-01-MICT-ASN-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Room-Level Proximity Detection Based on RSS of dual-band Wi-Fi Signals From Multiple Access Points 
Sub Title (in English)  
Keyword(1) Proximity Detection  
Keyword(2) Received Signal Strength  
Keyword(3) Wi-Fi  
1st Author's Name Yugo Agata  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Jihoon Hong  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (Keio Univ.)
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Date Time 2016-01-28 10:20:00 
Presentation Time 25 
Registration for ASN 
Paper # IEICE-ASN2015-82 
Volume (vol) IEICE-115 
Number (no) no.437 
Page pp.15-20 
#Pages IEICE-6 
Date of Issue IEICE-ASN-2016-01-21 

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