With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …

WiFi sensing using channel state information (CSI) offers a device-free and nonintrusive
method for human activity monitoring. However, the data-hungry and location-specific …

Abstract Relying on Wi-Fi signals broadcasted by smartphones became the de-facto
standard in the domain of pedestrian crowd monitoring. This method got the edge over other …

Deep learning based device-free wireless sensing systems have achieved satisfactory
performance in sensing human gesture, identity, location, etc.. However, subject to the …

Radio-based human sensing has attracted substantial research attention due to its wide
range of applications, including e-healthcare monitoring, indoor security, and industrial …

In this paper we present GuideAndTrack; a prototype method for guiding a user to any RFID-
tagged target. The user is equipped with a handheld RFID reader, which measures the …

In order to improve the autonomy and intelligence of group animation behavior, this paper
proposes a particle swarm optimization algorithm for automatic control of group animation …

We present ToFMD, a system that can passively detect the movement of an indoor device-
free user by relying on the absorptions and reflections of WiFi signals off his body. Our …

With the rapid development of intelligent transportation, the new internet of vehicles will
provide a ubiquitous wireless connection for vehicles in the future. The introduction of MIMO …

In this paper, we propose a methodology for estimating the crowd speed using WiFi devices
without relying on people to carry any device. Our approach not only enables speed …