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.
RASID: A robust WLAN device-free passive motion detection system
Ahmed E. Kosba,Ahmed Saeed,M. Youssef
Published 2011 in Annual IEEE International Conference on Pervasive Computing and Communications
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- Publication year
2011
- Venue
Annual IEEE International Conference on Pervasive Computing and Communications
- Publication date
2011-05-30
- Fields of study
Computer Science, Engineering
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