With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

With the marvelous development of wireless techniques and ubiquitous deployment of
wireless systems indoors, myriad indoor location-based services (ILBSs) have permeated …

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 …

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 …

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 …

The spatial features of emitted wireless signals are the basis of location distinction and
determination for wireless indoor localization. Available in mainstream wireless signal …

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" …

Device-free localization of people and objects indoors not equipped with radios is playing a
critical role in many emerging applications. This paper presents an accurate model-based …

Indoor human sensing, recognition, and detection, as key enablers of building smart
environments, such as smart home, smart retail, and smart museum, have gained …