RF-based gesture recognition systems outperform computer vision-based systems in terms
of user privacy. The integration of Wi-Fi sensing and deep learning has opened new …

Contactless RF-based sensing techniques are emerging as a viable means for building
gesture recognition systems. While promising, existing RF-based gesture solutions have …

Wi-Fi based sensing systems, although sound as being deployed almost everywhere there
is Wi-Fi, are still practically difficult to be used without explicit adaptation efforts to new data …

Gestures constitute an important form of nonverbal communication where bodily actions are
used for delivering messages alone or in parallel with spoken words. Recently, there exists …

In recent years, considerable endeavors have been devoted to exploring Wi-Fi-based
sensing technologies by modeling the intricate mapping between received signals and …

Recently, significant efforts have been made to enable WiFi-based gesture recognition.
However, models trained with data collected from specific domain suffer from significant …

With the development of signal processing technology, the ubiquitous Wi-Fi devices open an
unprecedented opportunity to solve the challenging human gesture recognition problem by …

In recent years, WiFi-based gesture recognition (WGR) has gained popularity due to its
privacy-preserving nature and the wide availability of WiFi infrastructure. However, existing …

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

Wireless sensing has garnered significant attention as a key technique for 6G, as it
empowers wireless networks with sensing capabilities. One emerging technology in this …