Room-level proximity detection using beacon frame from multiple access points

Yugo Agata, Jihoon Hong, Tomoaki Ohtsuki

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Proximity detection, a technique to recognize if users exist nearby, is attracting a lot of attentions nowadays. The information for proximity of users can be an indicator of users' reliability. Some methods of proximity detection, without localization of users, utilize similarity of received signals such as FM, bluetooth, Wi-Fi, and ambient sounds. However, ambient sounds can be similar even when users are not nearby and the available range of proximity detection in the methods utilizing other signals is limited and varying from half of the wavelength to 2 m. The purpose of this study is to realize room-level proximity detection without localization: we propose a method based on similarity of received signal strength (RSS) of beacon frames received from ambient multiple access points. Through experiments, in which we recognize whether or not users exist in the same room with a size approximately equal to 5 m square, we demonstrate that our proposed method can be applied to room-level proximity detection.

本文言語English
ホスト出版物のタイトル2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
出版社Institute of Electrical and Electronics Engineers Inc.
ページ941-945
ページ数5
ISBN(電子版)9789881476807
DOI
出版ステータスPublished - 2016 2 19
イベント2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
継続期間: 2015 12 162015 12 19

Other

Other2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
国/地域Hong Kong
CityHong Kong
Period15/12/1615/12/19

ASJC Scopus subject areas

  • 人工知能
  • モデリングとシミュレーション
  • 信号処理

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