Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …

The ubiquity of smartphones and the growth of computing resources, such as connectivity,
processing, portability, and power of sensing, have greatly changed people's lives. Today …

The broad adoption and use of smartphones has led to fundamentally new opportunities for
capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Breakthroughs from the field of deep learning are radically changing how sensor data are
interpreted to extract the high-level information needed by mobile apps. It is critical that the …

The Internet of Things (IoT) is an extensive network of heterogeneous devices that provides
an array of innovative applications and services. IoT networks enable the integration of data …

Microphones are remarkably powerful sensors of human behavior and context. However,
audio sensing is highly susceptible to wild fluctuations in accuracy when used in diverse …

Mobile phone sensing is an emerging area of interest for researchers as smart phones are
becoming the core communication device in people's everyday lives. Sensor enabled …

This paper describes the deployment of a large-scale study designed to measure human
interactions across a variety of communication channels, with high temporal resolution and …

Sensor-equipped smartphones and wearables are transforming a variety of mobile apps
ranging from health monitoring to digital assistants. However, reliably inferring user behavior …