講演名 2019-03-05
Development of Doppler CSI model for Wi-Fi based hand gesture detection application
Nopphon Keerativoranan(TiTech), Jun-ichi Takada(TiTech),
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抄録(和) 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.
抄録(英) 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.
キーワード(和) Channel state information / Wireless LAN / Motion detection / bistaic Doppler radar / Time-variant channel model
キーワード(英) Channel state information / Wireless LAN / Motion detection / bistaic Doppler radar / Time-variant channel model
資料番号 ASN2018-111
発行日 2019-02-25 (ASN)

研究会情報
研究会 ASN / MoNA / IPSJ-MBL / IPSJ-UBI
開催期間 2019/3/4(から2日開催)
開催地(和) 東京大学 駒場キャンパス
開催地(英) The University of Tokyo, Komaba Campus
テーマ(和) 一般
テーマ(英) General
委員長氏名(和) 岡田 啓(名大) / 新熊 亮一(京大) / / 戸辺 義人(東京電機大)
委員長氏名(英) Hiraku Okada(Nagoya Univ.) / Ryoichi Shinkuma(Kyoto Univ.) / / Yoshito Tobe(Tokyo Denki Univ.)
副委員長氏名(和) 山本 高至(京大) / 中澤 仁(慶大) / 門田 和也(日立) / 田頭 茂明(関大) / 北形 元(東北大)
副委員長氏名(英) Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
幹事氏名(和) 大和田 泰伯(NICT) / 萬代 雅希(上智大) / 川喜田 佑介(神奈川工科大) / 石田 繁巳(九大) / 二瓶 浩一(NEC) / 西尾 理志(京大) / 齊藤 隆仁(NTTドコモ) / / 大内 一成(東芝) / 椎尾 一郎(お茶の水女子大) / 高汐 一紀(慶大)
幹事氏名(英) Yasunori Owada(NICT) / Masaki Bandai(Sophia Univ.) / Yusuke Kawakita(Kanagawa Inst. of Tech.) / Shigemi Ishida(Kyushu Univ.) / Koichi Nihei(NEC) / Takayuki Nishio(Kyoto Univ.) / Takato Saito(NTT DOCOMO) / / Kazushige Ouchi(Toshiba) / Ichiro Shiio(Ochanomizu Univ.) / Kazunori Takashio(Keio Univ.)
幹事補佐氏名(和) 橋本 匡史(阪大) / 大田 知行(広島市立大) / 菊月 達也(富士通研) / 中野 亮(日立) / 堀田 善文(三菱電機) / 臼井 健(KDDI総合研究所) / 金井 謙治(早大)
幹事補佐氏名(英) 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.)

講演論文情報詳細
申込み研究会 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
本文の言語 ENG
タイトル(和)
サブタイトル(和)
タイトル(英) Development of Doppler CSI model for Wi-Fi based hand gesture detection application
サブタイトル(和)
キーワード(1)(和/英) Channel state information / Channel state information
キーワード(2)(和/英) Wireless LAN / Wireless LAN
キーワード(3)(和/英) Motion detection / Motion detection
キーワード(4)(和/英) bistaic Doppler radar / bistaic Doppler radar
キーワード(5)(和/英) Time-variant channel model / Time-variant channel model
第 1 著者 氏名(和/英) Nopphon Keerativoranan / Nopphon Keerativoranan
第 1 著者 所属(和/英) Tokyo Institute of Technology(略称:TiTech)
Tokyo Institute of Technology(略称:TiTech)
第 2 著者 氏名(和/英) Jun-ichi Takada / Jun-ichi Takada
第 2 著者 所属(和/英) Tokyo Institute of Technology(略称:TiTech)
Tokyo Institute of Technology(略称:TiTech)
発表年月日 2019-03-05
資料番号 ASN2018-111
巻番号(vol) vol.118
号番号(no) ASN-468
ページ範囲 pp.175-180(ASN),
ページ数 6
発行日 2019-02-25 (ASN)