The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

Providing accurate and opportune information on people's activities and behaviors is one of
the most important tasks in pervasive computing. Innumerable applications can be …

With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …

The presence of multimodal sensors on current mobile phones enables a broad range of
novel mobile applications. Environmental and user-centric sensor data of unprecedented …

Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …

Participatory sensing (PS) systems rely on the willingness of mobile users to participate in
the collection and reporting of data using a variety of sensors either embedded or integrated …

Large-scale collection of contextual information is often essential in order to gather statistics,
train machine learning models, and extract knowledge from data. The ability to do so in a …

The ubiquity of the various cheap embedded sensors on mobile devices, for example
cameras, microphones, accelerometers, and so on, is enabling the emergence of …

A number of sensor applications in recent years collect data which can be directly
associated with human interactions. Some examples of such applications include GPS …

Most users of online services have unique behavioral or usage patterns. These behavioral
patterns can be exploited to identify and track users by using only the observed patterns in …