The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …

The past years have witnessed the rapid conceptualization and development of wireless
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …

In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Numerous deep learning studies have achieved remarkable advances in WiFi-based
human gesture recognition (HGR) using channel state information (CSI). However, since the …

Human has an unique gait and prior works show increasing potentials in using WiFi signals
to capture the unique signature of individuals' gait. However, existing WiFi-based human …

In this article we present SHARP, an original approach for obtaining human activity
recognition (HAR) through the use of commercial IEEE 802.11 (Wi-Fi) devices. SHARP …

Deep neural networks have empowered accurate device-free human activity recognition,
which has wide applications. Deep models can extract robust features from various sensors …

Although human activity recognition (HAR) based on WiFi channel state information (CSI)
has been widely studied, as the CSI signal is susceptible to the external environment, a …

Sensing is a key basis for building an intelligent environment. Using channel state
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …

Channel state information (CSI)-based human activity recognition (HAR) has important
application prospects, such as smart homes, medical monitoring, and public security. Due to …