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Sensors 2015, 15(12), 32213-32229; doi:10.3390/s151229896

WiFi-Based Real-Time Calibration-Free Passive Human Motion Detection

The College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
This paper is an extended version of our paper published in 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2015).
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Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 26 October 2015 / Revised: 11 December 2015 / Accepted: 14 December 2015 / Published: 21 December 2015
(This article belongs to the Section Sensor Networks)
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Abstract

With the rapid development of WLAN technology, wireless device-free passive human detection becomes a newly-developing technique and holds more potential to worldwide and ubiquitous smart applications. Recently, indoor fine-grained device-free passive human motion detection based on the PHY layer information is rapidly developed. Previous wireless device-free passive human detection systems either rely on deploying specialized systems with dense transmitter-receiver links or elaborate off-line training process, which blocks rapid deployment and weakens system robustness. In the paper, we explore to research a novel fine-grained real-time calibration-free device-free passive human motion via physical layer information, which is independent of indoor scenarios and needs no prior-calibration and normal profile. We investigate sensitivities of amplitude and phase to human motion, and discover that phase feature is more sensitive to human motion, especially to slow human motion. Aiming at lightweight and robust device-free passive human motion detection, we develop two novel and practical schemes: short-term averaged variance ratio (SVR) and long-term averaged variance ratio (LVR). We realize system design with commercial WiFi devices and evaluate it in typical multipath-rich indoor scenarios. As demonstrated in the experiments, our approach can achieve a high detection rate and low false positive rate. View Full-Text
Keywords: physical layer information; device-free passive; human motion detection physical layer information; device-free passive; human motion detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gong, L.; Yang, W.; Man, D.; Dong, G.; Yu, M.; Lv, J. WiFi-Based Real-Time Calibration-Free Passive Human Motion Detection. Sensors 2015, 15, 32213-32229.

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