《Human with WiFi》.pdfVIP

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. XX, NO. XX, XX 2015 1 Non-invasive Detection of Moving and Stationary Human with WiFi Chenshu Wu, Student Member, IEEE, Zheng Yang, Member, IEEE, Zimu Zhou, Student Member, IEEE, Xuefeng Liu, Member, IEEE, Yunhao Liu, Fellow, IEEE, and Jiannong Cao, Fellow, IEEE Abstract—Non-invasive human sensing based on radio signals can modulate wireless signals and result in temporal changes has attracted numerous research interests and fostered a broad that are observable from received signals [1]. The mobility of range of innovative applications of localization, gesture recogni- to-be-observed users makes a prerequisite of existing passive tion, smart health-care, etc, for which a primary primitive is to detect human presence. Previous works have studied to detect human detection systems. However it is intrinsically challeng- moving humans via signal variations caused by human move- ing to detect stationary users based on radio reflections [6]. ments. For stationary people, however, existing approaches often To detect the presence of stationary people, existing schemes employ a prerequisite scenario-tailored calibration of channel employ a prerequisite calibration of channel profile in human- profile in human-free environments. Based on in-depth under- free environments, and simplify human presence as shadowing standing of human motion induced signal attenuation reflected by PHY layer channel state information (CSI), we propose DeMan, a on the Line-Of-Sight (LOS) path [7]. The calibration needs to unified scheme for non-invasive detection of moving and station- be conducted offline to collect