Deep learning has become the method of choice to tackle real-world problems in different
domains, partly because of its ability to learn from data and achieve impressive performance …

With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …

The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

With the high demand for wireless data traffic, WiFi networks have experienced very rapid
growth, because they provide high throughput and are easy to deploy. Recently, Channel …

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 …

Federated Learning (FL) has recently received significant interests thanks to its capability of
protecting data privacy. However, existing FL paradigms yield unsatisfactory performance for …

This paper presents WiPose, the first 3D human pose construction framework using
commercial WiFi devices. From the pervasive WiFi signals, WiPose can reconstruct 3D …

Recently, Wi-Fi-based human activity recognition using channel state information (CSI)
signals has gained popularity due to its potential features, such as passive sensing and …

The Internet of Things (IoT) has grown over decades to encompass many forms of sensing
modalities, and continues to improve in terms of sophistication and lower costs. The trend of …

Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a
promising solution for many applications. However, device-free (or contactless) sensing is …