Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …

Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …

Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …

Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …

Abstract Brain-Computer Interaction (BCI) system intelligence has become more dependent
on electroencephalogram (EEG)-based emotion recognition because of the numerous …

Emotion recognition is an aspect of human-computer interaction, affective computing, and
social robotics. Conventional unimodal approaches for emotion recognition, depending on …

Human emotion recognition, crucial for interpersonal relations and human-building
interaction, identifies emotions from various behavioral signals to improve user interactions …

Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …

Recently, wearable emotion recognition based on peripheral physiological signals has
drawn massive attention due to its less invasive nature and its applicability in real-life …

The automated recognition of human emotions plays an important role in develo**
machines with emotional intelligence. Major research efforts are dedicated to the …