Most past research on emotion recognition has used photographs of posed expressions
intended to depict the apex of the emotional display. Although these studies have provided …

Increased access to various kinds of consumer data has opened up new avenues of value
creation for companies, but it also poses new challenges. The proliferation of digital data …

Studying facial expressions is a notoriously difficult endeavor. Recent advances in the field
of affective computing have yielded impressive progress in automatically detecting facial …

For decades, psychology has relied on highly standardized images to understand how
people respond to faces. Many of these stimuli are rigorously generated and supported by …

Depression is one of the most common mental health issues in the United States, affecting
the lives of millions of people suffering from it as well as those close to them. Recent …

Affective computing, also known as emotional artificial intelligence (AI), is an emerging and
cutting-edge field of AI research. It draws on computer science, engineering, psychology …

This paper provides a comprehensive overview of affective computing systems for facial
expression recognition (FER) research in naturalistic contexts. The first section presents an …

Abstract Purpose of Review Emotion artificial intelligence (AI) is technology for emotion
detection and recognition. Emotion AI is expanding rapidly in commercial and government …

In the field of affective computing, achieving accurate automatic detection of facial
movements is an important issue, and great progress has already been made. However, a …

Recent behavioural studies have provided evidence that virtual reality (VR) experiences
have an impact on socio-affective processes, and a number of findings now underscore the …