The multitude of data generated by sensors available on users' mobile devices, combined
with advances in machine learning techniques, support context-aware services in …

Advancement in smart sensing and computing technologies has provided a dynamic
opportunity to develop intelligent systems for human activity monitoring and thus assisted …

Capturing fine-grained hand activity could make computational experiences more powerful
and contextually aware. Indeed, philosopher Immanuel Kant argued," the hand is the visible …

Due to the popularity of smart mobile phones and context-aware technology, various
contextual data relevant to users' diverse activities with mobile phones is available around …

Modern smartwatches or wrist wearables having multiple physiological sensing modalities
have emerged as a subtle way to detect different mental health conditions, such as anxiety …

Mobile sensing and computing applications usually require time-series inputs from sensors,
such as accelerometers, gyroscopes, and magnetometers. Some applications, such as …

This work presents a virtual sensing framework by exploiting operating system events for
energy efficient context inference. Specifically, we present a novel set of features that can be …

Background: Smartphones are now nearly ubiquitous; their numerous built-in sensors
enable continuous measurement of activities of daily living, making them especially well …

Sleep is critical to leading a healthy lifestyle. Each day, most people go to sleep without any
idea about how their night's rest is going to be. For an activity that humans spend around a …

We are entering an era of distributed healthcare that should fit and respond to individual
needs, behaviour and lifestyles. Designing such systems is a challenging task that requires …