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 …

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 …

In recent years, Channel State Information (CSI) measured by WiFi is widely used for human
activity recognition. In this article, we propose a deep learning design for location-and …

Motion trajectories contain rich information about human activities. We propose to use a 2-D
LIDAR to perform multiple people activity recognition simultaneously by classifying their …

Incorporating domain adaptation is a promising solution to mitigate the domain shift problem
of WiFi-based human activity recognition (HAR). The state-of-the-art solutions, however, do …

WiFi-based gesture recognition systems have attracted enormous interest owing to the non-
intrusive of WiFi signals and the wide adoption of WiFi for communication. Despite boosted …

Abstract Human Activity Recognition (HAR) serves a diverse range of human-centric
applications in healthcare, smart homes, and security. Recently, Wi-Fi-based solutions have …

The ubiquitous Wi-Fi devices and recent research efforts on wireless sensing have led to
intelligent environments which can sense people's locations and activities in a device-free …

Rhythmic movement disorder (RMD) is closely related to health problems like insomnia,
daytime fatigue, anxiety disorder, and depression, or even causes severe injuries resulting …

Human Activity Classification using Wi-Fi Channel characteristics serve a diverse range of
applications such as monitoring hospital patients and promoting independent living of …