RASID：一种鲁棒的WLAN无设备被动运动检测系统
RASID: A Robust WLAN Device-free Passive Motion Detection System
摘要：
WLAN无设备被动DfP室内定位是一项新兴技术，能够使用已安装的无线基础设施对不携带任何设备也不主动参与定位过程的实体进行定位。该技术可用于入侵检测、灵巧家庭和边界保护等各种应用。我们提出的设计，实现和评估的RASID，DfP系统的人体运动检测。RASID结合了不同的统计异常检测模块，同时适应环境的变化，使用标准WiFi硬件提供准确，可靠和低开销的人类活动检测。该系统在两个不同的测试平台的评估表明，它可以实现在两种环境中的F-措施至少为0.93的准确的检测能力。此外，与现有技术的DfP检测系统的当前状态相比，高精度和低开销性能对于环境中的变化是鲁棒的。我们还转述了在构建我们的系统过程中所吸取的经验教训，并讨论了未来的研究方向。
英文摘要：
WLAN Device-free passive DfP indoor localization is an emerging technology enabling the localization of entities that do not carry any devices nor participate actively in the localization process using the already installed wireless infrastructure. This technology is useful for a variety of applications such as intrusion detection, smart homes and border protection. We present the design, implementation and evaluation of RASID, a DfP system for human motion detection. RASID combines different modules for statistical anomaly detection while adapting to changes in the environment to provide accurate, robust, and low-overhead detection of human activities using standard WiFi hardware. Evaluation of the system in two different testbeds shows that it can achieve an accurate detection capability in both environments with an F-measure of at least 0.93. In addition, the high accuracy and low overhead performance are robust to changes in the environment as compared to the current state of the art DfP detection systems. We also relay the lessons learned during building our system and discuss future research directions.
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