Abstract Internet of Things (IoT) has fundamentally changed the way information technology
and communication environments work, with significant advantages derived from wireless …

Over the past decade, wearable activity trackers (WATs) have become increasingly popular.
However, despite many research studies in different fields (eg psychology, health, and …

Deep learning greatly empowers Inertial Measurement Unit (IMU) sensors for various mobile
sensing applications, including human activity recognition, human-computer interaction …

Current Virtual Reality systems typically use cameras to capture user input from controllers
or free-hand mid-air interaction. In this paper, we argue that this is a key impediment to …

With increasing private and sensitive data stored in mobile devices, secure and effective
mobile-based user authentication schemes are desired. As the most natural way to contact …

Traditional liquid identification instruments are often unavailable to the general public. This
paper shows the feasibility of identifying unknown liquids with commercial lightweight …

On-body sensor-based human activity recognition (HAR) lags behind other fields because it
lacks large-scale, labeled datasets; this shortfall impedes progress in developing robust and …

Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …

We introduce RadarHand, a wrist-worn wearable with millimetre wave radar that detects on-
skin touch-based proprioceptive hand gestures. Radars are robust, private, small, penetrate …