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 release of smart phones equipped with a rich set of sensors has enabled human activity
recognition on mobile platforms. Monitoring the daily activities and their levels helps in …

The evolution of smartphones together with increasing computational power has
empowered developers to create innovative context-aware applications for recognizing user …

Power consumption on mobile phones is a painful obstacle towards adoption of continuous
sensing driven applications, eg, continuously inferring individual's locomotive activities …

Wearable device based human activity recognition, as an important field of ubiquitous and
mobile computing, is drawing more and more attention. Compared with simple human …

Activity recognition in smart environments is an evolving research problem due to the
advancement and proliferation of sensing, monitoring and actuation technologies to make it …

The sensor-based recognition of Activities of Daily Living (ADLs) in smart-home
environments is an active research area, with relevant applications in healthcare and …

The staggering growth in smartphone and wearable device use has led to a massive scale
generation of personal (user-specific) data. To explore, analyze, and extract useful …

With an increasing number of rich embedded sensors, like accelerometer and GPS,
smartphone becomes a pervasive people-centric sensing platform for inferring user's daily …

Routine CCTV surveys are vital to the effective maintenance of wastewater networks, but
their time-consuming nature makes them very expensive. We present a methodology …