Facial emotion recognition from facial images is considered a challenging task due to the
unpredictable nature of human facial expressions. The current literature on emotion …

This paper presents an online educational platform that leverages facial expression
recognition technology to monitor students' progress within the classroom. Periodically, a …

This paper presents a groundbreaking online educational platform that utilizes facial
expression recognition technology to track the progress of students within the classroom …

Facial expression recognition (FER) is a widely used technique for emotion recognition. In
recent years, numerous deep convolutional neural network (CNN) models have been …

Learning discriminate representations from images plays crucial role in medical image
analysis. The attention mechanism, on the other hand, leads to breakthrough results in the …

This research introduces an algorithm that automatically detects five primary emotions in
individuals with Down syndrome: happiness, anger, sadness, surprise, and neutrality. The …

Recently, facial expression-based emotion recognition techniques obtained excellent
outcomes in several real-time applications such as healthcare, surveillance, etc. Machine …

The influence of music on mood and emotions has been widely studied, highlighting its
potential for self-expression and personal delight. As technology continues to advance …

Facial expressions are an important part of recognizing human emotional messages, hence
it has been a focus of pattern recognition research. However, developments in convolutional …

It takes a lot of time and work to manually monitor and react to unexpected occurrences that
arise in a lift cab. We develop and proclaim a smart video surveillance system in this study …