Numerous studies have focused on making telemedicine smart through the Internet of
Things (IoT) technology. These works span a wide range of research areas to enhance …

The human dimension plays an essential role in the energy performance of buildings and is
considered as significant as technological advances. Several studies highlighted the …

This paper proposes a passive Doppler radar as a non-contact sensing method to capture
human body movements, recognize respiration, and physical activities in e-Health …

It can be tempting to think about smart homes like one thinks about smart cities. On the
surface, smart homes and smart cities comprise coherent systems enabled by similar …

Occupancy detection and people counting technologies have important uses in many
scenarios ranging from management of human resources, optimising energy use in …

Indoor localization using WiFi signal parameters is challenging, with encouraging decimeter
localization results available with enough line-of-sight coverage and hardware …

This paper presents an end-to-end deep learning framework using passive WiFi sensing to
classify and estimate human respiration activity. A passive radar test-bed is used with two …

Abstract The pervasiveness of Wi‐Fi signals provides significant opportunities for human
sensing and activity recognition in fields such as healthcare. The sensors most commonly …

Device free activity recognition and monitoring has become a promising research area with
increasing public interest in pattern of life monitoring and chronic health conditions. This …

By sensing wirelessly the radio propagation environment and analyzing the channel state
information (CSI), one can extend human senses beyond our traditional reach and enrich …