Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

The increasing amount of human-related and/or human-originated data in current systems is
both an opportunity and a challenge. Nevertheless, despite relying on the processing of …

Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …

In recent years, due to changing the human lifestyle, the number of sport trainers has been
increased. The conventional classifiers as Naive Bayes (NB), Decision Trees (DT) and …

Recently, the continuous evolution of deep learning has opened up promising avenues to
groundbreaking advancements in wireless sensing systems, which significantly enhance the …

The use of wireless signals for device-free activity recognition and precise indoor positioning
has gained significant popularity recently. By taking advantage of the characteristics of the …

Wi-Fi channel state information (CSI)-based human action recognition systems have
garnered significant interest for their non-intrusive monitoring capabilities. However, the …

WiFi channel state information (CSI) has emerged as a promising modality for human action
recognition due to its non-invasive nature and robustness in diverse environments …

Technology is changing the way we live and the way we interact with the world. We are
witnessing advancements in several fields, from Internet services to quantum computing …

The objective of this thesis is to design passive measurement and classification systems to
recognize various human activities. Human Activity Recognition (HAR) can enhance a …