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 …

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 …

This paper presents a study on applying on-device machine learning (ML) algorithms to
enhance MAC layer protocols in wireless communications. It focuses on the MU-MIMO …

Since the rapid growth of e-commerce, the number of package deliveries to residential
doorsteps has significantly increased. However, the convenience of online shopping has …

WiFi sensing offers a powerful method for tracking physical activities using the radio-
frequency signals already found throughout our homes and offices. This novel sensing …

On-device Machine Learning (on-deviceML) is the concept of bringing Machine Learning
models to the constraint device itself and making it smarter. Tiny Machine Learning (TinyML) …