With mobile phones becoming increasingly prevalent and embedding high-quality
microphones, attackers have the ability to employ these microphones to eavesdrop user's …

Research has shown the potential of device-free WiFi sensing for human identification. Each
and every human has a unique gait and prior works suggest WiFi devices are able to …

Deep learning has demonstrated its great potential in channel state information (CSI)-based
human activity recognition (HAR), and hence has attracted increasing attention in both the …

Wi-Fi-based human activity recognition is emerging as a crucial supporting technology for
various applications. Although great success has been achieved for location-dependent …

The phase of the channel state information (CSI) is underutilized as a source of information
in wireless sensing due to its sensitivity to synchronization errors of the signal reception. A …

Wireless-sensing-based human–vehicle classification (WHVC) offer cost-effective
advantages and enhance the detection efficiency of traffic parameters in intelligent …

Abstract Wi-Fi Channel State Information (CSI) based human activity recognition (HAR)
which using channel disturbances caused by signal reflection is a novel way of environment …

Wi-Fi sensing can classify human activities because each activity causes unique changes to
the channel state information (CSI). Existing WiFi sensing suffers from limited scalability as …

This paper introduces an innovative non-contact heart rate monitoring method based on Wi-
Fi Channel State Information (CSI). This approach integrates both amplitude and phase …

WiFi devices are ubiquitous and may leak user and household privacy. In this paper, we
report an attack, namely WiFiLeaks, which uses a commodity mobile device to passively …