With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

Wi-Fi based sensing systems, although sound as being deployed almost everywhere there
is Wi-Fi, are still practically difficult to be used without explicit adaptation efforts to new data …

Driven by a wide range of real-world applications, significant efforts have recently been
made to explore device-free human activity recognition techniques that utilize the …

The past few years have witnessed the great potential of exploiting channel state information
retrieved from commodity WiFi devices for respiration monitoring. However, existing …

We propose SignFi to recognize sign language gestures using WiFi. SignFi uses Channel
State Information (CSI) measured by WiFi packets as the input and a Convolutional Neural …

Indoor human tracking is fundamental to many real-world applications such as security
surveillance, behavioral analysis, and elderly care. Previous solutions usually require …

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 …

We introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …