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 …

Smart scheduling of domestic appliances based on user demand is an important aspect of
any home energy management system. Such a demand driven operation can be performed …

Although running deep-learning (DL) algorithms is challenging due to resource constraints
on mobile and wearable devices, they provide performance improvements compared to …

Wireless sensing represented by WiFi channel state information (CSI) is now enabling
various fields of applications such as person identification, human activity recognition …

WiFi sensing using channel state information (CSI) offers a device-free and nonintrusive
method for human activity monitoring. However, the data-hungry and location-specific …

In recent years, Internet of Things (IoT) has become more and more important owing to the
rapid expansion of the number of computing devices and data sizes. The evolution of IoT …

Falls have always been one of the major threats to the health and well-being of elderly
people, particularly for those living alone. Both wearable and non-wearable fall detection …

Currently, human sensing draws much attention in the field of ubiquitous computing, and
human sensing based on WiFi CSI (channel state information) becomes a hot research topic …

Wi-Fi sensing has garnered increasing interest for its significant advantages, primarily
leveraging Wi-Fi signal fluctuations induced by human activities and advanced neural …

Traditional fingerprint-based positioning approaches work well on static data; they cannot
handle scenarios where the data distribution, the feature space and even the signal source …