Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …

Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …

Emerging Internet of Things (IoT) applications, such as cashier-less shopping, mobile ads
targeting, and geo-based augmented reality (AR), are expected to bring us much more …

Existing channel-state information (CSI)-based human authentication systems in the
literature require a large amount of CSI data to train deep neural network (DNN) models and …

Recent research has shown that human motions and positions can be recognized through
WiFi signals. The key intuition is that different motions and positions introduce different …

To fully support the emerging location-aware applications, location information with meter-
level resolution (or even higher) is required anytime and anywhere. Unfortunately, most of …

WiFi has achieved great success in data communication in the past two decades and WiFi
signals are recently further exploited for sensing purposes. Promising progress has been …

With the popularization of deep learning models in wireless sensing, researchers have
made considerable efforts to construct sophisticated models to improve the accuracy of …

Wi-Fi signals-based person identification attracts increasing attention in the booming
Internet-of-Things era mainly due to its pervasiveness and passiveness. Most previous work …

mmWave radar-based gait recognition is a novel user identification method that captures
human gait biometrics from mmWave radar return signals. This technology offers privacy …