Presentation 2019-03-05
Development of Doppler CSI model for Wi-Fi based hand gesture detection application
Nopphon Keerativoranan, Jun-ichi Takada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Various studies have proposed the use of RF signals to realize a non-wearable hand gesture sensing applications in the environments where commercial vision-based motion sensing cannot properly operate such as non-line-of-sight (NLoS) environment and private places. One way to sense the hand motion is through the Doppler frequency extracted from channel state information (CSI) of Wi-Fi chips. Although many works have proposed the solutions for CSI-based hand gesture sensing, there is no model that could properly explain the behavior of hand movement in terms of Doppler profiles. In this paper, the deterministic CSI Doppler model has been developed which describes the Doppler frequency profile caused by particular gestures. Through simulation and discussion, it was found that Doppler frequency profile depends on the speed of the motion, position, and trajectory relative to transmitter and receiver. The density of the Doppler power spectrum is the result of the constructive accumulation of a various number of propagation paths experiencing similar Doppler frequency shift. In addition, the proposed model could be beneficial for the gesture recognition as it could generate the Doppler profile for pattern training.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Channel state information / Wireless LAN / Motion detection / bistaic Doppler radar / Time-variant channel model
Paper # ASN2018-111
Date of Issue 2019-02-25 (ASN)

Conference Information
Committee ASN / MoNA / IPSJ-MBL / IPSJ-UBI
Conference Date 2019/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) The University of Tokyo, Komaba Campus
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Hiraku Okada(Nagoya Univ.) / Ryoichi Shinkuma(Kyoto Univ.) / / Yoshito Tobe(Tokyo Denki Univ.)
Vice Chair Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NEC) / (Kyoto Univ.) / (NTT DOCOMO)
Assistant Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Ken Usui(KDDI Research) / Kenji Kanai(Waseda Univ.)

Paper Information
Registration To Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Mobile Network and Applications / Special Interest Group on Mobile Computing and Ubiquitous Communications / Special Interest Group on Ubiquitous Computing System
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of Doppler CSI model for Wi-Fi based hand gesture detection application
Sub Title (in English)
Keyword(1) Channel state information
Keyword(2) Wireless LAN
Keyword(3) Motion detection
Keyword(4) bistaic Doppler radar
Keyword(5) Time-variant channel model
1st Author's Name Nopphon Keerativoranan
1st Author's Affiliation Tokyo Institute of Technology(TiTech)
2nd Author's Name Jun-ichi Takada
2nd Author's Affiliation Tokyo Institute of Technology(TiTech)
Date 2019-03-05
Paper # ASN2018-111
Volume (vol) vol.118
Number (no) ASN-468
Page pp.pp.175-180(ASN),
#Pages 6
Date of Issue 2019-02-25 (ASN)