Abstract
With the rapid development of emerging smart homes applications, the home security systems based on passive detection without carrying any devices has been increasing attention in recent years. Through-The-Wall (TTW) detection is a great challenge since through-the-wall signal can be severely attenuated, and some of the existing TTW-based detection techniques require special equipment or have strict restrictions on placement of devices. Due to the near-ubiquitous wireless coverage, WiFi based passively human detection technique becomes a good solution. In this paper, we propose a robust scheme for device-free Through-the-wall Human Detection (T-HuDe) in TTW with Channel State Information (CSI), which can provide more fine-grained movement information. Especially, T-HuDe utilizes motion information on WiFi signal and uses statistical information of motion characteristics as parameters. To evaluate T-HuDe performance, we prototype it in different environments with commodity devices, and the test results show that human activity detection rate and human absence detection rate of T-HuDe are both above 93% in most detection areas.
This work is supported in part by National Natural Science Foundation of China (61771083, 61704015), the Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), Special Fund of Chongqing Key Laboratory (CSTC), Fundamental and Frontier Research Project of Chongqing (cstc2017jcyjAX0380), and University Outstanding Achievement Transformation Project of Chongqing (KJZH17117).
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zeng, W., Tian, Z., Jin, Y., Chen, X. (2020). T-HuDe: Through-The-Wall Human Detection with WiFi Devices. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-030-41117-6_16
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DOI: https://doi.org/10.1007/978-3-030-41117-6_16
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