The increasing number of users on the internet and the massive digital music require
efficient music retrieval means and a satisfactory retrieval experience for users. The …

In EEG-based emotion recognition, finding EEG representations that maintain both temporal
and spatial features is crucial. This study aims to identify robust representations from EEG …

This study addresses the crucial task of accurately classifying brainwave signals associated
with distinct brain states, utilizing five supervised machine learning algorithms: K-Nearest …

Over the past years, a digital multimedia uprising has been experienced in every walk of life,
due to which the un-annotated or unstructured multimedia content has always been a key …

Emotions which can be commonly called to be as human feelings, are variable and
numerous. They vary according to the situation or according to perception. Analyzing and …

Research shows that stress is a typical reaction to external or internal irritants, but prolonged
stress may impair health and brain function. Stress causes brain damage and sadness …

Affective computing, a category of artificial intelligence, encompasses functions such as
detecting, processing, interpreting, and simulating human emotions. The development of …

Emotion can be defined as the neurophysiological changes people experience due to
significant internal or external occasions. This work applies a channel selection algorithm …

Emotion level of the students during their academic sessions has a significant effect on their
performance and overall academic grades. The most pre-eminent way of evaluating emotion …

Emotions are essential to human communication and are vital in shaping our interactions
with others and overall well-being. Traditional approaches to emotion recognition have …