Since human bodies are good reflectors of wireless signals, human activities can be
recognized by monitoring changes in WiFi signals. However, existing WiFi-based human …

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 …

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 …

Indoor human activity recognition remains a hot topic and receives tremendous research
efforts during the last few decades. However, previous solutions either rely on special …

Human activity tracking plays a vital role in human–computer interaction. Traditional human
activity recognition (HAR) methods adopt special devices, such as cameras and sensors, to …

In this article, we present a survey of recent advances in passive human behavior
recognition in indoor areas using the channel state information (CSI) of commercial WiFi …

In this article, we present a work using a smartphone with an off-the-shelf WiFi router for
human activity recognition with various scales. The router serves as a hotspot for …

Nowadays, human behavior recognition research plays a pivotal role in the field of human-
computer interaction. However, comprehensive approaches mainly rely on video camera …

The joint of WiFi‐based and vision‐based human activity recognition has attracted
increasing attention in the human‐computer interaction, smart home, and security …

The deeply penetrated WiFi signals not only provide fundamental communications for the
massive Internet of Things devices but also enable cognitive sensing ability in many other …