Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life
can enable applications targeted at a broader population, eg, helping people with …

As the global market for emotion recognition technologies (ERT)—which claim to use
artificial intelligence to recognize emotions—rapidly expands, there is also increasing …

With the heightened digitization of the workplace, alongside the rise of remote and hybrid
work prompted by the pandemic, there is growing corporate interest in using passive …

With the growing prevalence of affective computing applications, Automatic Emotion
Recognition (AER) technologies have garnered attention in both research and industry …

Emotion recognition technologies, while critiqued for bias, validity, and privacy invasion,
continue to be developed and applied in a range of domains including in high-stakes …

Affective computing has an unprecedented potential to change the way humans interact with
technology. While the last decades have witnessed vast progress in the field, multimodal …

Automatic Face Emotion Recognition (FER) technologies have become widespread in
various applications, including surveillance, human–computer interaction, and health care …

Facial expression recognition (FER) is advancing human-computer interaction, especially,
today, where facial masks are commonly worn due to the COVID-19 pandemic. Traditional …

Currently, e-learning has revolutionized the way students learn by offering access to quality
education in a model that does not depend on a specific space and time. However, due to …

Humans' emotional perception is subjective by nature, in which each individual could
express different emotions regarding the same textual content. Existing datasets for emotion …