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 …

Traditional handcrafted crowd-counting techniques in an image are currently transformed
via machine-learning and artificial-intelligence techniques into intelligent crowd-counting …

Video games, Virtual Reality (VR), Augmented Reality (AR), and Smart appliances (eg,
smart TVs) all call for a new way for users to interact and control them. This paper develops …

Crowd counting, which count or accurately estimate the number of human beings within a
region, is critical in many applications, such as guided tour, crowd control and marketing …

In this paper, we are interested in counting the total number of people walking in an area
based on only WiFi received signal strength indicator (RSSI) measurements between a pair …

Mobile crowdsensing has shown elegant capacity in data collection and has given rise to
numerous applications. In the sense of coverage quality, marginal works have considered …

Smartphones are excellent mobile sensing platforms, with the microphone in particular
being exercised in several audio inference applications. We take smartphone audio …

Crowd-enabled place-centric systems gather and reason over large mobile sensor datasets
and target everyday user locations (such as stores, workplaces, and restaurants). Such …

The goal of this work is to enable user authentication via finger inputs on ubiquitous surfaces
leveraging low-cost physical vibration. We propose VibWrite that extends finger-input …

Acoustic motion tracking is an exciting new research area with promising progress in the last
few years. Due to the inherent low propagation speed in the air, acoustic signals have the …