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 …

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 …

While operating, information processing devices or communication systems may emit
unwanted signals (or alter existing ones) through electromagnetic waves, light, sound or …

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" …

Gesture recognition has become increasingly important in human-computer interaction
(HCI) and can support a broad array of emerging applications, such as smart home, virtual …

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 …

This paper demonstrates the feasibility of a side-channel attack to infer keystrokes on touch
screen leveraging an off-the-shelf smartphone. Although there exist some studies on …

Vibration measurement is a crucial task in industrial systems, where vibration characteristics
reflect the health and indicate anomalies of the objects. Previous approaches either work in …

Deep neural networks show great potential as solutions to many sensing application
problems, but their excessive resource demand slows down execution time, pausing a …

Many HCI applications, such as volume adjustment in a gaming system, require quantitative
gesture measurement for metrics such as movement distance and direction. In this paper …