Item type |
SIG Technical Reports(1) |
公開日 |
2019-02-25 |
タイトル |
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タイトル |
Development of Doppler CSI model for Wi-Fi based Hand Gesture Detection Application |
タイトル |
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言語 |
en |
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タイトル |
Development of Doppler CSI model for Wi-Fi based Hand Gesture Detection Application |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Department of Transdiciplinary Science and Engineering School of Environment and Society, Tokyo Institute of Technology |
著者所属 |
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Department of Transdiciplinary Science and Engineering School of Environment and Society, Tokyo Institute of Technology |
著者所属(英) |
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en |
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Department of Transdiciplinary Science and Engineering School of Environment and Society, Tokyo Institute of Technology |
著者所属(英) |
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en |
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Department of Transdiciplinary Science and Engineering School of Environment and Society, Tokyo Institute of Technology |
著者名 |
Nopphon, Keerativoranan
Jun-ichi, Takada
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著者名(英) |
Nopphon, Keerativoranan
Jun-ichi, Takada
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
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 nonline-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. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
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 nonline-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. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11851388 |
書誌情報 |
研究報告モバイルコンピューティングとパーベイシブシステム(MBL)
巻 2019-MBL-90,
号 31,
p. 1-6,
発行日 2019-02-25
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8817 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
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言語 |
ja |
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出版者 |
情報処理学会 |