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 …

Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

New research into human-computer interaction seeks to consider the consumer's emotional
status to provide a seamless human-computer interface. This would make it possible for …

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 recognition from facial images is considered as a challenging task due to the
varying nature of facial expressions. The prior studies on emotion classification from facial …

Анотація This paper explores the potential of using convolutional neural networks (CNN) for
emotion recognition in marketing research of advertising. Discusses how CNN can be …

The present study investigated the potential of the application of a live occupancy detection
approach to assist the operations of demand-controlled ventilation (DCV) systems to ensure …

Facial emotional processing is one of the most important activities in effective calculations,
engagement with people and computers, machine vision, video game testing, and consumer …

Numerous researchers in the field of automatic human emotion recognition have shown that
physiological responses in humans are influenced by emotional changes. According to …