RASID: A robust WLAN device-free passive motion detection system
- 1 March 2012
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
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.Keywords
All Related Versions
This publication has 25 references indexed in Scilit:
- Robust WLAN Device-free Passive motion detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Detecting intra-room mobility with signal strength descriptorsPublished by Association for Computing Machinery (ACM) ,2010
- A deterministic large-scale device-free passive localization system for wireless environmentsPublished by Association for Computing Machinery (ACM) ,2010
- Radio Tomographic Imaging with Wireless NetworksIEEE Transactions on Mobile Computing, 2010
- Smart cevices for smart environments: Device-free passive detection in real environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- ChallengesPublished by Association for Computing Machinery (ACM) ,2007
- Handling samples correlation in the Horus systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Modeling of indoor positioning systems based on location fingerprintingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Multi-camera multi-person tracking for EasyLivingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The smart floorPublished by Association for Computing Machinery (ACM) ,2000