講演抄録/キーワード |
講演名 |
2017-12-19 13:00
Tracking 1D Hand Motion Directivity by Estimating Doppler Frequency of CSI Information from Commodity Wi-Fi Devices ○Nopphon Keerativoranan・Jun-ichi Takada(Titech) MW2017-145 エレソ技報アーカイブへのリンク:MW2017-145 |
抄録 |
(和) |
Device-free hand motion tracking in the air becomes an essential tool for today human-computing interaction applications such as smart home, virtual and augmented reality. Typical tracking, mostly a camera-based application, has some limitations; small tracking coverage, surrounding light dependency, and requirement of obstacle-free area. In this report, we show the possibility of tracking 1D hand motion by exploiting channel state information (CSI) from commercial Wi-Fi infrastructure. Empirically, it was proved that, after removing linear phase offset, sanitized CSI could be sufficiently reconstructed from its sanitized phase and amplitude where motion pattern and directivity are well-preserved. In the experiment, the velocity profile of hand moving toward and away from Wi-Fi receiver was retrieved as a temporal-Doppler representation by taking Wavelet transform of sanitized CSI. Moreover, it was found that this motion pattern, unfortunately, could be able to retrieve at only some subcarriers. According to our observation, it is possibly due to amplitude fading and an anomaly phase jump during sanitization resulting in directivity losing after reconstruction of Sanitized CSI. |
(英) |
Device-free hand motion tracking in the air becomes an essential tool for today human-computing interaction applications such as smart home, virtual and augmented reality. Typical tracking, mostly a camera-based application, has some limitations; small tracking coverage, surrounding light dependency, and requirement of obstacle-free area. In this report, we show the possibility of tracking 1D hand motion by exploiting channel state information (CSI) from commercial Wi-Fi infrastructure. Empirically, it was proved that, after removing linear phase offset, sanitized CSI could be sufficiently reconstructed from its sanitized phase and amplitude where motion pattern and directivity are well-preserved. In the experiment, the velocity profile of hand moving toward and away from Wi-Fi receiver was retrieved as a temporal-Doppler representation by taking Wavelet transform of sanitized CSI. Moreover, it was found that this motion pattern, unfortunately, could be able to retrieve at only some subcarriers. According to our observation, it is possibly due to amplitude fading and an anomaly phase jump during sanitization resulting in directivity losing after reconstruction of Sanitized CSI. |
キーワード |
(和) |
Channel state information / Wireless LAN / Motion detection / Human computer interaction / Doppler effect / Wavelet transforms / / |
(英) |
Channel state information / Wireless LAN / Motion detection / Human computer interaction / Doppler effect / Wavelet transforms / / |
文献情報 |
信学技報, vol. 117, no. 366, MW2017-145, pp. 19-24, 2017年12月. |
資料番号 |
MW2017-145 |
発行日 |
2017-12-12 (MW) |
ISSN |
Print edition: ISSN 0913-5685 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 |
MW2017-145 エレソ技報アーカイブへのリンク:MW2017-145 |
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