In this paper, we propose WifiU, which uses commercial WiFi devices to capture fine-grained
gait patterns to recognize humans. The intuition is that due to the differences in gaits of …

Gait, the walking manner of a person, has been perceived as a physical and behavioral trait
for human identification. Compared with cameras and wearable sensors, Wi-Fi-based gait …

Interests in monitoring and recognizing gait have surged significantly over the past decades.
Traditional approaches rely on camera array, floor sensors (eg, pressure mats), or …

Prior research has shown the potential of device-free WiFi sensing for human activity
recognition. In this paper, we show for the first time WiFi signals can also be used to …

There has been a growing interest in equipping the objects and environment surrounding
the user with sensing capabilities. Smart indoor spaces such as smart homes and offices …

As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …

Research has shown the potential of device-free WiFi sensing for human identification. Each
and every human has a unique gait and prior works suggest WiFi devices are able to …

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 …

In this paper, we propose XModal-ID, a novel WiFi-video cross-modal gait-based person
identification system. Given the WiFi signal measured when an unknown person walks in an …

Gait recognition enables many potential applications requiring identification. Wi-Fi-based
gait recognition is predominant because of its noninvasive and ubiquitous advantages …