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 …

In facial expression recognition (FER), global and local features obtained from the same
face may have different recognition accuracy, indicating that they have different advantages …

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 …

An important method in the “human–computer interface”(HCI) is emotion recognition.
Conventional emotion detection algorithms rely on exterior behaviors like facial expression …

Identification technology based on biometrics is a branch of research that employs the
unique individual traits of humans to authenticate identity, which is the most secure method …

The research on technologies and methodologies for (accurate, real-time, spontaneous,
three-dimensional…) facial expression recognition is ongoing and has been fostered in the …

Emotion is a complex physiological phenomenon, and a single modality may be insufficient
for accurately determining human emotional states. This paper proposes an end-to-end …

This study aims to dissect the current state of emotion recognition and response
mechanisms in artificial intelligence (AI) systems, exploring the progress made, challenges …

Accurately removing eyeglasses from facial images is crucial for improving the performance
of various face-related tasks such as verification, identification, and reconstruction. This …