Device-free human presence detection using frequency domain

机译：使用频域的无设备人类存在检测

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摘要

Device-free human presence (DFHP) detection is a novel technique, mainly applicable to wireless sensor networks in which a human does not need to carry a wireless transceiver to be detected. Irregularities in the radio signal propagation pattern, expressed in a form of received signal strength indicator's (RSSI) variations can indicate possible presence of a human within the existing radio network. In this paper we propose DFHP detection method based on frequency analysis of RSSI variations. The main advantage of the proposed method compared to human detection method based on information entropy is the possibility to determine human presence from furniture layout change. The main drawback is a disability to recognize the absence from the presence of a motionless person in an environment. However, the combination of these two approaches defines a robust and cost-effective DFHP detection method that can be used in various smart home systems without the need for specific hardware installation and exploitation procedures.

机译：无设备人类存在（DFHP）检测是一种新颖的技术，主要适用于其中人类不需要携带要检测的无线收发器的无线传感器网络。以接收信号强度指示符（RSSI）的变化形式表示的无线电信号传播模式中的不规则性可以指示人类可能存在于现有无线电网络中。本文提出了一种基于RSSI变化频率分析的DFHP检测方法。与基于信息熵的人体检测方法相比，该方法的主要优点是可以根据家具布局的变化确定人体的存在。主要缺点是无法识别环境中静止的人的不在场。但是，这两种方法的结合定义了一种健壮且具有成本效益的DFHP检测方法，该方法可用于各种智能家居系统中，而无需特定的硬件安装和开发程序。

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来源
《2015 IEEE 1st International Workshop on Consumer Electronics》|2015年|23-26|共4页
会议地点 Novi Sad(RS)
作者
Bojan Mrazovac; Branislav M. Todorović; Dragan Kukolj; Miodrag Temerinac;
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作者单位

Department for Computing and Control Engineering, Faculty of Technical Sciences, Novi Sad, Serbia;

RT-RK Institute for Computer Based Systems, Narodnog fronta 23a, Novi Sad, Serbia;

Department for Computing and Control Engineering, Faculty of Technical Sciences, Novi Sad, Serbia;

Department for Computing and Control Engineering, Faculty of Technical Sciences, Novi Sad, Serbia;

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正文语种 eng
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关键词
Information entropy; Wireless communication; Monitoring; Algorithm design and analysis; Wireless sensor networks; Frequency-domain analysis; Fast Fourier transforms;

机译：信息熵;无线通信;监测;算法设计与分析;无线传感器网络;频域分析;快速傅立叶变换;

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专利

1. Device-free indoor human presence detection method based on the information entropy of RSSI variations [J] . Mrazovac B., Todorovic?? B.M., Bjelica M.Z., Electronics Letters . 2013,第22期

机译：基于RSSI变化的信息熵的无设备室内人类存在检测方法
2. Device-Free Presence Detection and Localization With SVM and CSI Fingerprinting [J] . Rui Zhou, Xiang Lu, Pengbiao Zhao, Sensors Journal, IEEE . 2017,第23期

机译：支持SVM和CSI指纹的无设备状态检测和定位
3. Motion Detection with Local Linear Embedding and its Application to Indoor Device-Free Human Trajectory Tracking [J] . Journal of Information Recording . 2019,第6期

机译：局部线性嵌入的运动检测及其在室内无人轨迹跟踪中的应用
4. Device-Free Human Presence Detection Using Frequency Domain [C] . Bojan Mrazovac, Branislav M. Todorovic, Dragan Kukolj, IEEE International Workshop on Consumer Electronics . 2015

机译：使用频域提供无设备的人体存在检测
5. A Frequency Domain Approach to Pretest Analysis and Model Updating in the Presence of High Modal Density. [D] . Nimityongskul, Aaron P. 2010

机译：高模态密度存在下的频域方法进行预测试分析和模型更新。
6. A Survey on Detection Tracking and Identification in Radio Frequency-Based Device-Free Localization [O] . Stijn Denis, Rafael Berkvens, Maarten Weyn 2019

机译：基于射频的无设备定位中的检测跟踪和识别研究
7. On Multipath Link Characterization and Adaptation for Device-free Human Detection [O] . Zimu Zhou, Zheng Yang, Chenshu Wu, 2016

机译：关于无设备人体检测的多路径链路表征与自适应
8. RSS-based Device-free Passive Detection and Localization Using Home Automation Network Radio Frequencies. [R] . Phan, T. M. 2018

机译：使用家庭自动化网络无线电频率的基于Rss的无设备无源检测和本地化。

Device-free human presence detection using frequency domain

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