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

WiFi sensing has been evolving rapidly in recent years. Empowered by propagation models
and deep learning methods, many challenging applications are realized such as WiFi-based …

Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in
a non-intrusive and device-free manner, benefiting applications as diverse as smart homes …

Emotion plays a critical role in making the computer more human-like. As the first and most
essential step, emotion recognition emerges recently as a hot but relatively nascent topic, ie …

Human activity recognition (HAR) is a key technology in the field of human–computer
interaction. Unlike systems using sensors or special devices, the WiFi channel state …

Over the past years, device-free sensing has received considerable attention due to its
unobtrusiveness. In this regard, context recognition using WiFi Channel State Information …

The broad spectrum of applications of WiFi sensing technology, such as gait and gesture
recognition, has received widespread attention in recent years. Though most WiFi sensing …

Wireless sensing technology based on channel state information (CSI) has broad
application prospects in human–computer interaction, smart homes, and other fields due to …

Hand gesture is a visual input of human-computer interaction for providing different
applications in smart homes, healthcare, and eldercare. Most deep learning-based …