Speech emotion recognition (SER) systems identify emotions from the human voice in the
areas of smart healthcare, driving a vehicle, call centers, automatic translation systems, and …

Emotion recognition has shown many valuable roles in people's lives under the background
of artificial intelligence technology. However, most existing emotion recognition methods …

Human emotion recognition is an important area of research with numerous applications in
various fields. In recent years, computer vision techniques have emerged as a promising …

Recognition of emotions using facial expression is an active research topic in the field of
computer vision. In this paper, a novel feature descriptor proposed for facial expression …

Human facial expression and emotion play pivotal roles in our day-to-day communication,
and detecting them are one of the formidable tasks in the field of human–computer …

Emotion recognition has become increasingly utilized in the medical, advertising, and
military domains. Recognizing the cues of emotion from human behaviors or physiological …

In recent years, the usage of social media has been increasing exponentially because of its
various real world applications in digital communication such as content sharing …

Affective computing, as a novel paradigm, adds a new feature into the human-computer
interactions era that brings emotions into the process of design and evaluation. Such …

Human emotion recognition is crucial in various technological domains, reflecting our
growing reliance on technology. Facial expressions play a vital role in conveying and …

Emotion detection classifiers traditionally predict discrete emotions. However, emotion
expressions are often subjective, thus requiring a method to handle compound and …