With the flourish of the smart devices and their applications, controlling devices using
gestures has attracted increasing attention for ubiquitous sensing and interaction. Recent …

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

User authentication on smartphones must satisfy both security and convenience, an
inherently difficult balancing art. Apple's FaceID is arguably the latest of such efforts, at the …

The lack of digital floor plans is a huge obstacle to pervasive indoor location based services
(LBS). Recent floor plan construction work crowdsources mobile sensing data from …

Wireless sensing techniques for tracking human activities have been vigorously developed
in recent years. Yet current RFID based human activity recognition techniques need either …

Inputting a pattern or PIN code on the touch screen is a popular method to prevent
unauthorized access to mobile devices. However, these sensitive tokens are highly …

Constructing a map of indoor space has many important applications, such as indoor
navigation, VR/AR, construction, safety, facility management, and network condition …

Understanding social interactions is relevant across many domains and applications,
including psychology, behavioral sciences, human computer interaction, and healthcare. In …

Device-to-device communication is widely used for mobile devices and Internet of Things.
Authentication and key agreement are critical to build a secure channel between two …

Since the number of cars has grown rapidly in recent years, driving safety draws more and
more public attention. Drowsy driving is one of the biggest threatens to driving safety …