| Document Date: 2014-09-17 15:06:19
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City North Brunswick / Tallahassee / Indianapolis / Hoboken / / Company Philips / Intel / / Country United States / / Currency USD / / / Facility Indiana University-Purdue University / Florida State University / Stevens Institute of Technology / Rutgers University / / IndustryTerm Internet access / wireless monitor / indoor localization systems / Device-free systems / signal processing challenges / carrier wave / handy tool / waterproof wireless speakers / smart devices / wireless signals / location systems / home entertainment devices / wireless access point / well-being management / wireless sensors / in-home smart devices / stationary infrastructure / profile matching algorithms / few existing applications / activity recognition solutions / unstable wireless channel / carrier wave features / lightweight devices / radio tomography imaging / software radios / device-free localization solutions / wireless emitter / matching algorithms / wireless links / laptop Internet connectivity / wearable device / tracking and recognition with minimal infrastructure / wireless infrastructure / costly specialized devices / wireless devices / / MarketIndex MCS / / MusicGroup Signals / WiFi Signals / / OperatingSystem Ubuntu / / Organization Rutgers University / Stevens Institute of Technology / Indiana University / Purdue University / Florida State University / / Person Jie Yang / Jian Liu / Marco Gruteser / / Position chair / / Product Pentax K-x Digital Camera / WiFi device / WiFi / / ProgrammingLanguage FL / C / / ProvinceOrState New Jersey / Indiana / Hawaii / Florida / / Technology wireless devices / tomography / smartphone / mobile devices / example 802.11n protocol / wireless access / profile matching algorithms / gesture recognition / / URL http /
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E-eyes: Device-free Location-oriented Activity Identification Using Fine-grained WiFi Signatures Yan Wang† , Jian Liu† , Yingying Chen† , Marco Gruteser∗ , Jie Yang‡ , Hongbo Liu§ † Stevens Institute of Tec