Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

As an application of fine-grained wireless sensing, RF-based material identification follows
the paradigm of RF computing that fetches the information during RF signal propagation …

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

Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

In recent years, WiFi-based device-free localization (DFL) has attracted attentions due to the
rapid development of location-based applications. The localization performance of data …

The major obstacle for learning-based RF sensing is to obtain a high-quality large-scale
annotated dataset. However, unlike visual datasets that can be easily annotated by human …

Wi-Fi signals in contrast to cameras offer privacy protection and occlusion resilience for
some practical scenarios such as smart homes elderly care and virtual reality. Recent years …

Wi-Fi sensing technology has shown superiority in smart homes among various sensors for
its cost-effective and privacy-preserving merits. It is empowered by channel state information …

With recent advancements in artificial intelligence (AI), wireless sensing has recently been
accepted as an attractive solution to enable accurate detection of human activities by …

Deep learning shows promising performance in wireless sensing. However, deep wireless
sensing (DWS) heavily relies on large datasets. Unfortunately, building comprehensive …