Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

The past years have witnessed the rapid conceptualization and development of wireless
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …

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

With the development of the Internet of Things (IoT), many kinds of wireless signals (eg, Wi-
Fi, LoRa, RFID) are filling our living and working spaces nowadays. Beyond communication …

While decade-long research has clearly demonstrated the vast potential of radio frequency
(RF) for many human sensing tasks, scaling this technology to large scenarios remained …

This paper introduces a novel human pose estimation benchmark, Human Pose with
Millimeter Wave Radar (HuPR), that includes synchronized vision and radio signal …

Recent advances in wireless sensing techniques have made it possible to recognize hand
gestures using channel state information (CSI) in commodity WiFi devices. Existing WiFi …

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

Human activity recognition (HAR) based on channel state information (CSI) plays an
increasingly important role in the research of human–computer interaction. Many CSI HAR …