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 …

With the breakthroughs in deep learning and contactless sensors, the recent years have
witnessed a rise of ambient intelligence applications and services, spanning from healthcare …

In this article, we study the problem of wireless human sensing, which refers to human
activity recognition (HAR). HAR based on wireless signals plays an important role in …

The emergence of Integrated Positioning, Communication, and Computing (IPC2)
technology has paved the way for advanced capabilities in physical-digital spatial …

The absolute coverage WiFi networks is higher than it has ever been and WiFi sensing
offers a device-free, contactless alternative to intrusive wearable devices for a variety of …

The quality of a learning-based Wi-Fi sensing system is bounded by the quantity and quality
of training data. However, obtaining sufficient and high-quality data across different domains …

Deploying machine learning models on-board edge devices allows for low latency model
inference and data privacy by keeping sensor data local to the computation rather than at a …

Physical therapy (PT) exercises are critically important for the rehabilitation of patients with
motor deficits. While rehabilitation exercises can be most effective when performed properly …

WiFi sensing aims to utilize the changes in the Channel State Information (CSI) of WiFi
signals due to the reflections from objects in the environment for sensing purposes. It uses …

Wi-Fi-based person identification (PI) tasks are performed by analyzing the fluctuating
characteristics of the Channel State Information (CSI) data to determine whether the …