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Device-Free Activity Recognition Based on Coherence Histogram

机译：基于相干直方图的无设备活动识别

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摘要

Device-free activity recognition (DFAR) is a promising technique that detects the activity of a target by analyzing the influence of its existence on surrounding wireless links. It realizes target sensing without the participation or even awareness of the target. The key question of DFAR is how to characterize the influence of the target on wireless links. Existing works mostly utilize statistical features, such as mean and variance in time-domain, and energy as well as entropy in frequency-domain, to characterize the influenced signals. However, statistical features provide only partial information. This paper explores the method on how to characterize the distribution of the signal as a whole. Specifically, we present a novel coherence histogram, which leverages the spatial structural characteristics to better characterize the distribution of the wireless signal. The coherence histogram captures not only the occurrence probability of received signal strength (RSS) measurements, but also the spatial relationship between adjacent RSS measurements as well. Experimental results show that our coherence histogram-based DFAR system could achieve an accuracy of more than 96%, which significantly outperforms other state-of-the-art DFAR systems remarkably.
机译：无设备活动识别（DFAR）是一种有前途的技术，它可以通过分析目标的存在对周围无线链路的影响来检测目标的活动。它可以实现目标感测，而无需参与甚至意识不到目标。 DFAR的关键问题是如何表征目标对无线链路的影响。现有作品大多利用统计特征（如时域的均值和方差，频域的能量以及熵）来表征受影响的信号。但是，统计功能仅提供部分信息。本文探讨了如何表征信号整体分布的方法。具体而言，我们提出了一种新颖的相干直方图，该直方图利用空间结构特征来更好地表征无线信号的分布。相干直方图不仅捕获接收信号强度（RSS）测量的发生概率，而且还捕获相邻RSS测量之间的空间关系。实验结果表明，基于相干直方图的DFAR系统可以达到96％以上的准确度，明显优于其他最新的DFAR系统。

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  • 来源
    《IEEE transactions on industrial informatics》 |2019年第2期|954-964|共11页
  • 作者

    Gao Qinghua; Wang Jie; Zhang Liming; Yue Hao; Lin Bin; Wang Hongyu;

  • 作者单位

    Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China;

    Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China;

    Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China;

    San Francisco State Univ, Dept Comp Sci, San Francisco, CA 94132 USA;

    Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian 116026, Peoples R China;

    Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116023, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Activity recognition; coherence histogram; device free; wireless;

    机译：活动识别;相干直方图;无设备;无线;

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