Emotions are what makes us humans. Recognizing human emotions from facial micro
expression features help us learn the true emotional state of a person. This technique of …

Research in the field of micro-expressions has gained significance in recent years. Many
researchers have concentrated on classifying micro-expressions in different discrete …

Understanding an unknown facial emotion that emerges in the future underpins significant
impacts in various domains. Knowing the fact that emotional states grow in vocabulary, new …

Recently, emotion recognition has gained increasing attention in various fields. Human
facial expression plays key role in daily interaction among people. The understanding of …

Context provides additional information to determine the actual emotional state of a person
as part of a scene. Existing works on emotion recognition in context focused only on the …

One of the Industry 4.0 landmarks, concerns the optimization of manufacturing processes by
increasing the operator's productivity. But productivity is highly affected by the operator's …

Micro expression recognition (MER) is a very challenging area of research due to its intrinsic
nature and fine-grained changes. In the literature, the problem of MER has been solved …

With the cutting-edge advancements in computer vision, facial expression recognition (FER)
is an active research area due to its broad practical applications. It has been utilized in …

Recognizing emotions in context from an image has become an emerging topic in the recent
past due to its high practical demand in various domains. Performance of the existing works …

The emotional context of a given environment can profoundly influence an individual's
feelings and responses. Nonetheless, current emotion recognition methodologies primarily …