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| 講演抄録／キーワード | ||
| 講演名 | 2019-03-05 14:00 Development of Doppler CSI model for Wi-Fi based hand gesture detection application ○Nopphon Keerativoranan・Jun-ichi Takada（TiTech）  ASN2018-111 |
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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. |
| （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 / / / |
| （英） | Channel state information / Wireless LAN / Motion detection / bistaic Doppler radar / Time-variant channel model / / / | |
| 文献情報 | 信学技報, vol. 118, no. 468, ASN2018-111, pp. 175-180, 2019年3月. | |
| 資料番号 | ASN2018-111 | |
| 発行日 | 2019-02-25 (ASN) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| 著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します．(許諾番号：10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| PDFダウンロード | ASN2018-111 |
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| 研究会情報 | |
| 研究会 | ASN MoNA IPSJ-MBL IPSJ-UBI |
| 開催期間 | 2019-03-04 - 2019-03-05 |
| 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 |
| 講演論文情報の詳細 | |
| 申込み研究会 | ASN |
| 会議コード | 2019-03-ASN-MoNA-MBL-UBI |
| 本文の言語 | 英語 |
| 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（英） | |
| 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 |
| キーワード(6)（和/英） | / |
| キーワード(7)（和/英） | / |
| キーワード(8)（和/英） | / |
| 第1著者 氏名（和/英/ヨミ） | Nopphon Keerativoranan / Nopphon Keerativoranan / |
| 第1著者 所属（和/英） | Tokyo Institute of Technology (略称： 東工大) Tokyo Institute of Technology (略称： TiTech) |
| 第2著者 氏名（和/英/ヨミ） | Jun-ichi Takada / Jun-ichi Takada / |
| 第2著者 所属（和/英） | Tokyo Institute of Technology (略称： 東工大) Tokyo Institute of Technology (略称： TiTech) |
| 講演者 | 第1著者 |
| 発表日時 | 2019-03-05 14:00:00 |
| 発表時間 | 25分 |
| 申込先研究会 | ASN |
| 資料番号 | ASN2018-111 |
| 巻番号（vol） | vol.118 |
| 号番号（no） | no.468 |
| ページ範囲 | pp.175-180 |
| ページ数 | 6 |
| 発行日 | 2019-02-25 (ASN) |
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