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 …

Emotions play a critical role in our daily lives, so the understanding and recognition of
emotional responses is crucial for human research. Affective computing research has mostly …

How can we leverage digital technologies to enhance language learning and bilingual
representation? In this digital era, our theories and practices for the learning and teaching of …

Humans respond cognitively and emotionally to the built environment. The modern
possibility of recording the neural activity of subjects during exposure to environmental …

In the wake of rapid advances in automatic affect analysis, commercial automatic classifiers
for facial affect recognition have attracted considerable attention in recent years. While …

The newly revised edition of this groundbreaking textbook provides a comprehensive
overview of the theory, research, and applications of nonverbal communication. Authored by …

Emotional facial expressions can inform researchers about an individual's emotional state.
Recent technological advances open up new avenues to automatic Facial Expression …

Facial expressions, and the ability to recognize these expressions, have evolved in humans
to communicate information to one another. Face masks are equipment used in healthcare …

Emotion recognition algorithms recognize, infer, and harvest emotions using data sources
such as social media behavior, streaming service use, voice, facial expressions, and …

When two people look at the same object in the environment and are aware of each other's
attentional state, they find themselves in a shared-attention episode. This can occur through …