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 …

Along with AIGC shines in CV and NLP, its potential in the wireless domain has also
emerged in recent years. Yet, existing RF-oriented generative solutions are ill-suited for …

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 …

Deep learning shows promising performance in wireless sensing. However, deep wireless
sensing (DWS) heavily relies on large datasets. Unfortunately, building comprehensive …

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

Millimeter-wave (mmWave)-based human motion sensing, such as activity recognition and
skeleton tracking, enables many useful applications. However, it suffers from a scarcity issue …

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