Abstract
Monitoring physical assault is critical for the prevention of juvenile delinquency and promotion of school harmony. A large portion of assault events, particularly school violence among teenagers, usually happen at indoor secluded places. Pioneering approaches employ always-on-body sensors or cameras in the limited surveillance area, which are privacy-invasive and cannot provide ubiquitous assault monitoring. In this paper, we present Wi-Dog, a noninvasive physical assault monitoring scheme that enables privacy-preserving monitoring in ubiquitous circumstances. Wi-Dog is based on widely deployed commodity Wi-Fi infrastructures. The key intuition is that Wi-Fi signals are easily distorted by human motions, and motion-induced signals could convey informative characteristics, such as intensity, regularity, and continuity. Specifically, to explicitly reveal the substantive properties of physical assault, we innovatively propose a set of signal processing methods for informative components extraction by selecting sensitive antenna pairs and subcarriers. Then a novel signal-complexity-based segmentation method is developed as a location-independent indicator to monitor targeted movement transitions. Finally, holistic analysis is employed based on domain knowledge, and we distinguish the violence process from both local and global perspective using time-frequency features. We implement Wi-Dog on commercial Wi-Fi devices and evaluate it in real indoor environments. Experimental results demonstrate the effectiveness of Wi-Dog which consistently outperforms the advanced abnormal detection methods with a higher true detection rate of 94% and a lower false alarm rate of 8%.
Highlights
School violence, as the leading cause of juvenile delinquency, has become an increasingly serious social issue and attracted extensive academic attention from researchers
We show for the first time the feasibility of leveraging Wi-Fi signals for monitoring physical assault
We present Wi-Dog, a noninvasive physical assault monitoring scheme on commercial Wi-Fi infrastructures, to protect users from potential physical assault, just like a loyal dog does
Summary
As the leading cause of juvenile delinquency, has become an increasingly serious social issue and attracted extensive academic attention from researchers. To curb the prevalence of school violence, governments have introduced relevant policies to deal with it. A key enabler for effective school violence prevention is to automatically detect and alarm the instantaneous physical assault with existing available infrastructures. Wearable sensor based scheme may provide possible approaches to monitor a specific group of users, especially the guarded ones [2]. More common solutions resort to camera-based monitoring [6,7,8]. Premounted cameras continuously collect and analyze the video frames of areas-of-interests, yet they bring underlying privacy issues and only operate in a clear line-of-sight (LOS) view
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