The Ubiquitous Sensing research group conducts basic research on extracting meaningful information about human behavior and characteristics, and on developing novel system/platform level solutions for performing the sensing tasks as accurately, robustly and resource-efficiently as possible. Examples of the kind of information that the sensing research focus on include personal characteristics (e.g., personality), social behavior (e.g., co-presence of people), competence or skillfulness of the person (e.g., fuel-efficiency in driving behavior), and so forth. Most of the research focuses on using smartphones as the sensing platform, but also the potential of new sensing technologies, such as Kinect or smartwatches, are topics of investigation.