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Device-Free Passive Human Counting with Bluetooth Low Energy Beacons

机译:带有蓝牙低功耗信标的无设备无源人类计数

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The increasing availability of wireless networks inside buildings has opened up numerous opportunities for new innovative smart systems. For a lot of these systems, acquisition of context-sensitive information about attendant people has evolved to a key challenge. Especially the position and distribution of attendants significantly influence the system's service quality. To meet this challenge, several types of sensor systems have been presented over the last two decades. Most of these systems rely on an active mobile device that has to be carried by the tracked entity. Contrary to the so-called device-based active systems, device-free passive sensing systems are grounded on the idea of detecting, tracking, and identifying attendant people without carrying any active device or to actively taking part in a localization process. In order to obtain information about the position or the distribution of present people, these systems quantify the impact of the physical attendants on radio-frequency signals. Most of device-free systems rely on the existing WiFi infrastructure and device-based active concepts, but here we want to focus on a different approach. In line with our previous research on presence detection with Bluetooth Low Energy beacons, in this paper, we introduce a strategy of using those beacons for a device-free passive human counting system.
机译:建筑物内无线网络的可用性不断提高,为创新的智能系统打开了许多机会。对于许多这样的系统,获取有关话务员的上下文相关信息已成为一项关键挑战。尤其是服务员的位置和分布会严重影响系统的服务质量。为了应对这一挑战,在过去的二十年中已经提出了几种类型的传感器系统。这些系统中的大多数依赖于被跟踪实体必须携带的活动移动设备。与所谓的基于设备的主动系统相反,无设备的被动传感系统基于无需携带任何主动设备或主动参与定位过程的检测,跟踪和识别服务人员的想法。为了获得有关当前人员的位置或分布的信息,这些系统量化了物理服务员对射频信号的影响。大多数无设备系统都依赖于现有的WiFi基础架构和基于设备的活动概念,但是在这里我们要重点关注另一种方法。与我们以前对使用蓝牙低功耗信标进行状态检测的研究一致,我们介绍了一种将这些信标用于无设备被动式人类计数系统的策略。

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