Emotion recognition based on physiological data classification has been a topic of
increasingly growing interest for more than a decade. However, there is a lack of systematic …

The study of student engagement has attracted growing interests to address problems such
as low academic performance, disaffection, and high dropout rates. Existing approaches to …

Emotions are known to impact cognitive skills, thus influencing job performance. This is also
true for software development, which requires creativity and problem-solving abilities. In this …

The study of human nonverbal social behaviors has taken a more quantitative and
computational approach in recent years due to the development of smart interfaces and …

Emotion recognition from biometrics is relevant to a wide range of application domains,
including healthcare. Existing approaches usually adopt multi-electrodes sensors that could …

Developers experience a wide range of emotions during programming tasks, which may
have an impact on job performance. In this paper, we present an empirical study aimed at (i) …

Emotion is an intense mental experience often manifested by rapid heartbeat, breathing,
sweating, and facial expressions. Emotion recognition from these physiological signals is a …

Although emotion recognition techniques have been well developed, the understanding of
the neural mechanism remains rudimentary. The traditional static network approach cannot …

Developing a system to monitor the physical and psychological states of a driver and alert
the driver is essential for accident prevention. Inspired by the advances in wireless …

In this chapter a specific aspect of Physiological Computing, that of implicit Human–
Computer Interaction, is defined and discussed. Implicit Interaction aims at controlling a …