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Open AccessArticle

CSI Frequency Domain Fingerprint-Based Passive Indoor Human Detection

by Chong Han 1,2, Qingqing Tan 1, Lijuan Sun 1,2,*, Hai Zhu 1 and Jian Guo 1,2
College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Author to whom correspondence should be addressed.
Information 2018, 9(4), 95;
Received: 4 April 2018 / Revised: 12 April 2018 / Accepted: 15 April 2018 / Published: 17 April 2018
(This article belongs to the Section Information Applications)
Passive indoor personnel detection technology is now a hot topic. Existing methods have been greatly influenced by environmental changes, and there are problems with the accuracy and robustness of detection. Passive personnel detection based on Wi-Fi not only solves the above problems, but also has the advantages of being low cost and easy to implement, and can be better applied to elderly care and safety monitoring. In this paper, we propose a passive indoor personnel detection method based on Wi-Fi, which we call FDF-PIHD (Frequency Domain Fingerprint-based Passive Indoor Human Detection). Through this method, fine-grained physical layer Channel State Information (CSI) can be extracted to generate feature fingerprints so as to help determine the state in the scene by matching online fingerprints with offline fingerprints. In order to improve accuracy, we combine the detection results of three receiving antennas to obtain the final test result. The experimental results show that the detection rates of our proposed scheme all reach above 90%, no matter whether the scene is human-free, stationary or a moving human presence. In addition, it can not only detect whether there is a target indoors, but also determine the current state of the target. View Full-Text
Keywords: Wi-Fi; channel state information; device-free Wi-Fi; channel state information; device-free
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Han, C.; Tan, Q.; Sun, L.; Zhu, H.; Guo, J. CSI Frequency Domain Fingerprint-Based Passive Indoor Human Detection. Information 2018, 9, 95.

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