Presentation 2016-01-28
Room-Level Proximity Detection Based on RSS of dual-band Wi-Fi Signals From Multiple Access Points
Yugo Agata, Jihoon Hong, Tomoaki Ohtsuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Proximity Detection / Received Signal Strength / Wi-Fi
Paper # ASN2015-82
Date of Issue 2016-01-21 (ASN)

Conference Information
Committee MICT / ASN / MoNA
Conference Date 2016/1/28(2days)
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
Chair Ryuji Kohno(Yokohama National Univ.) / Hiroshi Tohjo(NTT) / Hiroaki Morino(Shibaura Inst. of Tech.)
Vice Chair Masaru Sugimachi(National Cerebral and Cardiovascular Center) / Takahiro Aoyagi(Tokyo Inst. of Tech.) / Hiroo Sekiya(Chiba Univ.) / Hiraku Okada(Nagoya Univ.) / Kiyohito Yoshihara(KDDI R&D Labs.) / Ryoichi Shinkuma(Kyoto Univ.)
Secretary Masaru Sugimachi(NICT) / Takahiro Aoyagi(Nagoya Inst. of Tech.) / Hiroo Sekiya(Kanagawa Inst. of Tech.) / Hiraku Okada(NTT) / Kiyohito Yoshihara(KDDI R&D Labs.) / Ryoichi Shinkuma(Kumamoto Univ.)
Assistant Kohei Ohno(Meiji Univ.) / Keisuke Shima(Yokohama National Univ.) / Tomoko Tateyama(Ritsumeikan Univ.) / Yuichi Igarashi(Hitachi) / Katsuhiro Naito(Aichi Inst. of Tech.) / Kiyohiko Hattori(NICT) / Hiroshi Fujita(Fujitsu Labs.) / Takuro Yonezawa(Keio Univ.) / Yoshifumi Morihiro(NTT DoCoMo) / Hisashi Kurasawa(NTT) / Makoto Suzuki(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications
Language JPN
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.)
Date 2016-01-28
Paper # ASN2015-82
Volume (vol) vol.115
Number (no) ASN-437
Page pp.pp.15-20(ASN),
#Pages 6
Date of Issue 2016-01-21 (ASN)