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

In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

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 …

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 …

Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Emotion is an interdisciplinary research field investigated by many research areas such as
psychology, philosophy, computing, and others. Emotions influence how we make …

Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …

Facial expression recognition (FER) is currently one of the most active research topics due
to its wide range of applications in the human-computer interaction field. An important part of …

Extensive possibilities of applications have rendered emotion recognition ineluctable and
challenging in the fields of computer science as well as in human-machine interaction and …