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 …

Applications for human sensing, also known as (human) occupancy detection, include
energy management systems for intelligent buildings, intruder detection, e-health systems …

Human activity recognition (HAR) is a key enabling technology for a wide range of emerging
applications. Although multimodal sensing systems are essential for capturing complex and …

The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …

The scarcity of training data available for IMUs in wearables poses a serious challenge for
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …

Falls are one of the leading causes of death in the elderly people aged 65 and above. In
order to prevent death by sending prompt fall detection alarms, non-invasive radio …

The Activity Recognition Chain generally precludes the challenging scenario of recognizing
new activities that were unseen during training, despite this scenario being a practical and …

Advances in wireless technologies have transformed wireless networks from a pure
communication medium to a pervasive sensing platform, enabling many sensorless and …

In the last decade, many studies have significantly pushed the limits of wireless device-free
human sensing (WDHS) technology and facilitated various applications, ranging from …

In recent years, wireless sensing has attracted lots of research attention with a large range of
applications enabled. However, several critical issues still hinder wireless sensing from …