论文标题
使用WiFi传感估算室内人群密度和运动行为
Estimating indoor crowd density and movement behavior using WiFi Sensing
论文作者
论文摘要
几乎每个人都拥有可以精确位置的智能手机设备的事实既具有授权又令人担忧。如果通过负责任的方式开发了通过WiFi探测来准确跟踪设备（及其所有者）的方法，则可以在从数据安全到城市规划的许多不同领域中应用它们。已经涵盖了许多数据收集和分析的方法，其中一些使用主动传感设备，而另一些则依靠被动探测，从而利用了几乎通用的智能手机使用和WiFi网络覆盖范围。在这项研究中，我们介绍了一个系统，该系统使用旨在跟踪用户位置并了解个人行为的WiFi探测技术。我们构建了自己的设备，以从智能手机中被动捕获WiFi请求探针数据包，而无需连接到网络。这些设备在榆树公司研究部门的总部进行了测试。进行的分析结果是为了估计办公室的人群密度以及人群从一个地方到另一个地方的流动是有希望的，并说明了这种解决方案在室内和封闭空间中的重要性。
The fact that almost every person owns a smartphone device that can be precisely located is both empowering and worrying. If methods for accurate tracking of devices (and their owners) via WiFi probing are developed in a responsible way, they could be applied in many different fields, from data security to urban planning. Numerous approaches to data collection and analysis have been covered, some of which use active sensing equipment, while others rely on passive probing, which takes advantage of nearly universal smartphone usage and WiFi network coverage. In this study, we introduce a system that uses WiFi probing technologies aimed at tracking user locations and understanding individual behavior. We built our own devices to passively capture WiFi request probe packets from smartphones, without the phones being connected to the network. The devices were tested at the headquarters of the research sector of the Elm Company. The results of the analyses carried out to estimate the crowd density in offices and the flows of the crowd from one place to another are promising and illustrate the importance of such solutions in indoor and closed spaces.
