The Internet has grown into a large cyber-physical system centered that connects not just computer systems but a plethora of systems, devices, and objects, collectively referred to as "Things", giving rise to the term "Internet of Things" (IoT). It encompasses technologies for identification and tracking, sensing and actuation, both wired and wireless communications, and also, intelligence and cognition. Wireless communications, which is an integral part of IoT, suffers from radio irregularity -- a phenomenon referring to radio waves being selectively absorbed, reflected or scattered by objects in their paths, e.g., human bodies that comprises liquid, bone and flesh. Radio irregularity is often regarded as a problem in wireless communications but, with the envisioned pervasiveness of IoT, we aim to exploit radio irregularity as a means to detect and estimate the number of people. We demonstrate how radio signal fluctuations arising from radio irregularity, combined with discriminant analysis, can be used to provide a simple low-cost alternative to dedicated sensing systems for indoor people counting.
翻译:互联网已发展成为一个庞大的网络物理系统,它不仅连接计算机系统,而且连接了众多系统、装置和物体,统称为“东西”,产生了“物联网”一词,它包括识别和跟踪、感测和激活技术,包括有线和无线通信,以及情报和认知技术。无线通信是IoT的一个组成部分,受到无线电不规则性的影响 -- -- 这种现象是指无线电波被其路径上的物体,例如由液体、骨头和肉体组成的人体有选择地吸收、反映或散布。无线电不规则性常常被视为无线通信中的一个问题,但是,由于IoT的预期普遍性,我们的目的是利用无线电不规则性作为探测和估计人数的手段。我们证明无线电不规则性所产生的无线电信号波动,加上对干扰性的分析,可以用来为室内人口计数专用感测系统提供一种简单的低成本替代方法。