The electrophysiological basis of emotion regulation (ER) has gained increased attention
since efficient emotion recognition and ER allow humans to develop high emotional�…

Accepted: 25 July 2021 Emotion classification based on physiological signals has become a
hot topic in the past decade. Many studies have attempted to classify emotions using various�…

Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various�…

Detecting emotions is a growing field aiming to comprehend and interpret human emotions
from various data sources, including text, voice, and physiological signals�…

Predicting and recognizing emotions is becoming an important preoccupation for the
medical field, but also in areas such as organizational wellbeing, psychotherapy or�…

The detection and recognition of human emotional states have raised recent research
interests for various applications from e-learning to chronic health conditions prevention. In�…

In recent years, emotion recognition has broad application prospects in the development of
artificial intelligence and human-computer interaction related design of human health�…

The primary objective of this research is the sta-tistical analysis of multi-channel
electroencephalogram (EEG) signals for the purpose of emotion recognition performed in�…

Emotions processing is a complex mechanism that involves different physiological systems.
In particular, the Central Nervous System (CNS) is considered to play a key role in this�…

Emotional intelligence strives to bridge the gap between human and machine interactions.
The application of such systems varies and is becoming more prominent as healthcare�…