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

Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

One of the main challenges facing the current approaches of speech emotion recognition is
the lack of a dataset large enough to train the currently available deep learning models …

User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …

Current artificial intelligence systems for determining a person's emotions rely heavily on lip
and mouth movement and other facial features such as eyebrows, eyes, and the forehead …

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 …

Artificial intelligence has been successfully applied in various fields, one of which is
computer vision. In this study, a deep neural network (DNN) was adopted for Facial emotion …

Tuberculosis (TB) is a highly contagious and life-threatening infectious disease that affects
millions of people worldwide. Early diagnosis of TB is essential for prompt treatment and …

Goal: As an essential human-machine interactive task, emotion recognition has become an
emerging area over the decades. Although previous attempts to classify emotions have …

Background and objective The promising use of artificial intelligence (AI) to emulate human
empathy may help a physician engage with a more empathic doctor-patient relationship …