Passive mobile sensing for the purpose of human state modeling is a fast-growing area. It
has been applied to solve a wide range of behavior-related problems, including physical …

Today's ubiquitous presence of sensors provides a large amount of data which can be
analyzed to study human behavior. The last few years saw the birth and diffusion of a new …

Utilizing mobile devices for gaining a better understanding of one's surrounding,
physiological state and overall behavior has been argued for in many previous works …

Mobile sensing plays a crucial role in generating digital traces to understand human daily
lives. However, studying behaviours like mood or sleep quality in smartphone users requires …

Our world is increasingly interconnected via a wide variety of computers, IoT, wearable and
mobile devices. The information provided collectively through these devices offers insightful …

The idea of continuously monitoring well-being using mobile-sensing systems is gaining
popularity. In-situ measurement of human behavior has the potential to overcome the short …

Mobile and wearable devices are equipped with an array of embedded digital sensors that
produce continuous steams of digital trace data. These now effectively ubiquitous digital …

This thesis presents a mobile instrumentation middleware, AWARE, aimed at facilitating our
understanding of human behavior. We demonstrate how to use AWARE to build context …

We present StarLight, an infrastructure-based sensing system that reuses light emitted from
ceiling LED panels to reconstruct fine-grained user skeleton postures continuously in real …

The assessment of psychological situations in everyday life presents a number of
methodological challenges, largely stemming from the need to assess situations as they …