RASID: A Robust WLAN Device-free Passive Motion Detection System
Abstract
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, where special hardware might not be applicable or affordable such as intrusion detection, smart homes and border protection. In this paper, 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. Evaluation of the system in two different real testbed environments shows that it can achieve an accurate detection capability of 6% miss detection rate and 9% false alarm rate in both environments. 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.Keywords
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