RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals
RF-Sensing of Activities from Non-Cooperative Subjects in Device-Free Recognition Systems Using Ambient and Local Signals
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DOI：
10.1109/tmc.2013.28
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发表时间：
2014-04-01
影响因子：
7.9
通讯作者：
Beigl, Michael
中科院分区：
文献类型：
--
作者：
Sigg, Stephan;Scholz, Markus;Beigl, Michael
我们认为，从非合作的个人的无线电频率信道上获得的功能的活动检测。由于环境变化会影响设备之间的传输信道，因此可以使用对这种变化的检测来对环境情况进行分类。我们识别相关特征以检测非主动传播受试者的活动。特别是，我们区分与高精度的空环境或行走，躺着，爬行或站立的人，在案例研究的主动，无设备的活动识别系统与软件定义的无线电。我们区分两种情况，其中发射机是在系统或环境的控制下。对于活动检测的应用程序的一个阶段和两个阶段的分类器被认为是。除了上述活动的歧视，我们可以证明，一个检测到的活动也可以同时定位在小于1米半径的区域内。
We consider the detection of activities from non-cooperating individuals with features obtained on the radio frequency channel. Since environmental changes impact the transmission channel between devices, the detection of this alteration can be used to classify environmental situations. We identify relevant features to detect activities of non-actively transmitting subjects. In particular, we distinguish with high accuracy an empty environment or a walking, lying, crawling or standing person, in case-studies of an active, device-free activity recognition system with software defined radios. We distinguish between two cases in which the transmitter is either under the control of the system or ambient. For activity detection the application of one-stage and two-stage classifiers is considered. Apart from the discrimination of the above activities, we can show that a detected activity can also be localized simultaneously within an area of less than 1 meter radius.