In the swiftly evolving landscape of Internet of Things (IoT) technology, the demand for
adaptive non-contact sensing has seen a considerable surge. Traditional human perception …

Human activity recognition has the potential to become a real enabler for ambient assisted
living technologies. Research on this area demands the execution of complex experiments …

The advances in mobile and wearable sensing have led to a myriad of approaches for stress
detection in both laboratory and free-living settings. Most of these methods, however, rely on …

Understanding in which circumstances office workers take rest breaks is important for
delivering effective mobile notifications and make inferences about their daily lifestyle, eg …

Observing user interactions with interactive persona systems offers important insights for the
design and application of such systems. Using an interactive persona system, user behavior …

Intelligent User Interfaces can benefit from having knowledge on the user's emotion.
However, current implementations to detect affective states, are often constraining the user's …

Building on Buxton's foreground/background model, we discuss the importance of explicitly
considering both foreground interaction and background interaction, as well as transitions …

Recent work demonstrates the potential for extracting patterns from users' behavior as
detected by sensors. Since there is currently no generalized framework for reasoning about …

In recent years, there has been increasing interest in human behavior understanding
motivated by several societal needs that include security, natural interfaces, gaming …

In this paper, we present a survey of emerging technologies for non-invasive human activity,
behavior, and physiological sensing. The survey focuses on technologies that are close to …