Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

A fascinating challenge in the field of human–robot interaction is the possibility to endow
robots with emotional intelligence in order to make the interaction more intuitive, genuine …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

Recent research has shown that facial expressions and body gestures are two significant
implications in identifying human emotions. However, these studies mainly focus on …

The presence of stimuli and the consequent reactions undoubtedly reflect in experience-
related changes of physiological parameters, which can be monitored by wearable devices …

Human gait refers to a daily motion that represents not only mobility but can also be used to
identify the walker by either human observers or computers. Recent studies reveal that gait …

Using multimodal signals to solve the problem of emotion recognition is one of the emerging
trends in affective computing. Several studies have utilized state of the art deep learning …