Robots of today are eager to leave constrained industrial environments and embrace
unexplored and unstructured areas, for extensive applications in the real world as service …

Electrodermal activity (EDA) has been measured in the laboratory since the late 1800s.
Although the influence of sudomotor nerve activity and the sympathetic nervous system on …

Modern wearable devices enable the continuous and unobtrusive monitoring of human
physiological parameters, including heart rate and electrodermal activity. Through the …

Progress in the development of technology has provided data-capturing devices that make it
possible to identify detailed processes in collaborative learning. This study utilized …

Future social robots should have personalized behaviors based on user emotional state to fit
more in ordinary users' activities and to improve the human–robot interaction. Several …

Due to the subjective responses of different subjects to physical stimuli, emotion recognition
methodologies from physiological signals are increasingly becoming personalized. Existing …

This study aimed to identify the neurophysiological correlates of two primary aroused
affective states related to positive and negative emotions, and to create a classification …

The widespread adoption of mobile and wearable devices enables new approaches for the
unobtrusive and continuous monitoring of humans' behavior, physiological state …

When in front of a classroom, a skilled teacher can read the room, identifying when students
are engaged, frustrated, distracted, etc. In recent years we have seen significant changes in …

The facial and physiological sensor-based emotion recognition methods are two popular
methods of emotion recognition. The proposed research is the first of its kind in real-time …