There is a trend these days to add emotional characteristics as new features into human-
computer interaction to equip machines with more intelligence when communicating with …

Physiological signals are the most reliable form of signals for emotion recognition, as they
cannot be controlled deliberately by the subject. Existing review papers on emotion …

Emotion awareness has become one of the key characteristics in human-computer
interactions in order to achieve more natural and intelligent communications. As an …

Machine learning approaches for human emotion recognition have recently demonstrated
high performance. However, only/mostly for subject-dependent approaches, in a variety of …

An emotion recognition system based on processing of multiple physiological signals is
presented. Our algorithm is developed and verified based on multiple subjects by presenting …

Recent research in the field of Human Computer Interaction aims at recognizing the user's
emotional state in order to provide a smooth interface between humans and computers. This …

Background Collaboration between humans and computers has become pervasive and
ubiquitous, however current computer systems are limited in that they fail to address the …

Several approaches have been proposed to recognize human emotions based on facial
expressions or physiological signals, relatively rare work has been done to fuse these two …

With the development of computers, artificial intelligence, and cognitive science,
engagement in deep communication between humans and computers has become …

This paper investigates the potential of physiological signals as reliable channels for multi-
subject emotion recognition. A three-stage decision framework is proposed for recognizing …