海报:用于感知潜在危险的低成本人流监测系统

Proceedings of the 21st Annual International Conference on Mobile Computing and Networking Pub Date : 2015-09-07 DOI:10.1145/2789168.2795169

Ju Wang, Dingyi Fang, Xiaojiang Chen, Liqiong Chang, Zhanyong Tang, Tianzhang Xing, Chen Liu

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引用次数: 1

摘要

在漫长的历史中，当成千上万的人聚集在一起时，踩踏事件是最容易发生的灾难之一。然而，目前的监控系统只能检测到少数位置稀疏的目标的存在，而不能监测到环境中大量密集人群的人流变化。本文介绍了DanSen，一个利用现有wifi基础设施感知潜在危险的低成本人流监测系统。受动态光散射(DLS)理论的启发，设计的DanSen计算初始通道状态信息(CSI)数据与所有历史CSI数据之间的相关性，以监测人流的变化，并估计变化的清晰度。通过这样做，DanSen可以用来感知潜在的危险。实际实验结果证明了DanSen算法的优越性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Poster: A Low Cost People Flow Monitoring System For Sensing The Potential Danger

For a long history, stampede is one of the high potential disaster when thousands of people gathered. Current monitoring systems, however, can only detect the presence of a small number of sparsely located targets, rather than to monitor the change of people flow where there are large number of dense crowd in the environment. This paper presents DanSen, a low-cost people flow monitoring system for sensing the potential danger using the existing wifi infrastructures. Inspired by the dynamic light scattering (DLS) theory, the designed DanSen calculates the correlations between the initial channel state information (CSI) data and all the history CSI data to monitor the changes of people flow and also estimates the sharpness of the changes. By doing so, DanSen can be utilised to perceive the potential danger. Real-world experimental results illustrate the advantage and effectiveness of DanSen.

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Proceedings of the 21st Annual International Conference on Mobile Computing and Networking

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