@inproceedings{d5a8ba8f359c4ae6aec0e96e1aeff1d6,
title = "A model based decimeter-scale device-free localization system using cots Wi-Fi devices",
abstract = "Commodity Wi-Fi based device-free localization has attracted a great attention in recent years. Previous related work is either fingerprint-based or model-based. In this demo, we will demonstrate a generic Fresnel Penetration Model (FPM) based real-time device-free localization system called MFDL. Using only three to four commodity Wi-Fi devices, it can localize a metal plate reflector with 6cm median error in the open space and localize a moving person with 45cm median error in an outdoor space of 36m2 and 50-75cm median error in indoor environments with a size ranging from 25m2 to 72m2, outperforming the state-of-theart device-free localization approaches in similar settings.",
keywords = "Channel state information (CSI), Fresnel zone model, Localization, Wi-Fi",
author = "Ruiyang Gao and Kai Niu and Hao Wang and Enze Yi and Dan Wu and Daqing Zhang",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 ACM.; 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, UbiComp/ISWC 2017 ; Conference date: 11-09-2017 Through 15-09-2017",
year = "2017",
month = sep,
day = "11",
doi = "10.1145/3123024.3123172",
language = "English",
series = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "241--244",
booktitle = "UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers",
}