MobiCom 2011 poster: a robust technique for WLAN device-free passive motion detection

Authors:
Ahmed E. Kosba;Ahmed Saeed;Moustafa Youssef
Affiliations:
Dept. of Comp. and Sys. Eng., Faculty of Engineering, Alexandria University, Egypt;Dept. of Comp. Sc. and Eng., Egypt-Japan Univ. of Sc. and Tech. (EJUST), Egypt;Dept. of Comp. and Sys. Eng., Faculty of Engineering, Alexandria University, Egypt and Dept. of Comp. Sc. and Eng., Egypt-Japan Univ. of Sc. and Tech. (EJUST), Egypt
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2012

Citing 2
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Abstract

We 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. Our results show that RASID can achieve an accurate detection capability, reaching 6% miss detection rate and 8% false alarm rate in a typical environment.