In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

In this survey, a systematic literature review of the state-of-the-art on emotion expression
recognition from facial images is presented. The paper has as main objective arise the most …

Emotion recognition based on physiological signals has been a hot topic and applied in
many areas such as safe driving, health care and social security. In this paper, we present a …

Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …

Emotion recognition involves accurately interpreting human emotions from various sources
and modalities, including questionnaires, verbal, and physiological signals. With its broad …

Emotion is an important driver of human decision-making and communication. With the
recent rise of human–computer interaction, affective computing has become a trending …

Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …

░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …

Machine learning approaches for human emotion recognition have recently demonstrated
high performance. However, only/mostly for subject-dependent approaches, in a variety of …