A Robust Technique for WLAN Device-Free Passive Motion Detection
The authors present RASID: a system capable of detecting passive human motion using the already installed indoor wireless infrastructure. RASID applies a statistical anomaly detection technique to detect motion inside indoor environments by monitoring the changes in the wireless signal strength. The system also adapts to the environment changes and applies decision refinement procedures for enhancing the detection accuracy. Their results show that RASID can achieve an accurate detection capability, reaching 6% miss detection rate and 8% false alarm rate in a typical environment.