Mobile device based human-centric sensing and participatory sensing provide a vast
context about the user state information. To capture and recognize any user state, then to …

Smart spaces are typically augmented with devices capable of sensing various inputs and
reacting to them. Data from these devices can be used to support system adaptation …

Sedentary behaviour is increasing due to societal changes and is related to prolonged
periods of sitting. There is sufficient evidence proving that sedentary behaviour has a …

Simulation of human activities in smart spaces is becoming increasingly important due to the
growing demands on datasets that captures user-technology interactions. Such datasets are …

Smart buildings are a prevalent example of cyberphysical systems: embedded with sensors,
they emit a continuous data stream based on which algorithms are being developed to infer …

Human activity detection using various sources of data is an important problem due to its
application in various domains, such as health-care, elderly care, security/safety, etc …

Behavior-Aware Computing: Applications and Challenges Toggle navigation IEEE Computer
Society Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE …

Continuous passive sensing of daily behavior from mobile devices has the potential to
identify behavioral patterns associated with different aspects of human characteristics. This …

Recent advances in ubiquitous computing, sensing technologies, the Internet of Things,
mobile computing and smart environments have led to a new wave of smart cyber-physical …

One of the main challenges in the study of human be-havior is to quantitatively assess the
participants' affective states by measuring their psychophysiological signals in ecologically …