Some pioneer WiFi signal based human activity recognition systems have been proposed.
Their key limitation lies in the lack of a model that can quantitatively correlate CSI dynamics …

Keystroke privacy is critical for ensuring the security of computer systems and the privacy of
human users as what being typed could be passwords or privacy sensitive information. In …

Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this
paper, we show that Wi-Fi can also extend our senses, enabling us to see moving objects …

We present CrossSense, a novel system for scaling up WiFi sensing to new environments
and larger problems. To reduce the cost of sensing model training data collection …

In recent literatures, WiFi signals have been widely used to" sense" people's locations and
activities. Researchers have exploited the characteristics of wireless signals to" hear" …

WiFi based gesture recognition systems have recently proliferated due to the ubiquitous
availability of WiFi in almost every modern building. The key limitation of existing WiFi based …

In this letter, we propose a method for detecting a human subject using Doppler radar by
investigating the physical characteristics of targets. Human detection has a number of …

为获知穿墙雷达技术发展脉络以及预测未来可能的发展趋势, 对近年来穿墙雷达研究领域中的墙
后人体目标探测技术的发展情况进行了梳理. 围绕墙后人体目标探测中的微多普勒谱识别 …

An image classification technique, which has recently been introduced for visual pattern
recognition, is successfully applied for human gait classification based on radar Doppler …

Keystroke privacy is critical for ensuring the security of computer systems and the privacy of
human users as what is being typed could be passwords or privacy sensitive information. In …