Recognition of human activities is an important task due to its far-reaching applications such
as healthcare system, context-aware applications, and security monitoring. Recently, WiFi …

With the marvelous development of wireless techniques and ubiquitous deployment of
wireless systems indoors, myriad indoor location-based services (ILBSs) have permeated …

In this work, we evaluate the feasibility of deploying ubiquitous WiFi sensing systems at the
edge and consider the applicability of existing techniques on constrained edge devices and …

Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …

We present CrossSense, a novel system for scaling up WiFi sensing to new environments
and larger problems. To reduce the cost of sensing model training data collection …

Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a
promising solution for many applications. However, device-free (or contactless) sensing is …

Past decades have witnessed the extension of the Wi-Fi signals as a useful tool sensing
human activities. One common assumption behind it is that there is a one-to-one mapping …

In recent literatures, WiFi signals have been widely used to" sense" people's locations and
activities. Researchers have exploited the characteristics of wireless signals to" hear" …

The prevalence of WiFi devices and ubiquitous coverage of WiFi networks provide us the
opportunity to extend WiFi capabilities beyond communication, particularly in sensing the …

Side-channel attacks on mobile devices have gained increasing attention since their
introduction in 2007. While traditional side-channel attacks, such as power analysis attacks …