Emotion detection is the process of detecting a human being's emotions based on various
facial cues and visual information. This field has gained much traction since the popularity of …

This article compares the performance of three algorithms for Facial Emotion Recognition
(FER). The algorithms chosen include one machine learning model-SupportVector Machine …

The ability to read a person's emotions from their face is crucial. Using a camera, the
necessary input is immediately taken from the subject's face. This input may be used, among …

Human beings rely a lot on non-verbal communication and facial emotion is a large part of it.
In this review paper we cover the datasets and algorithms that are used for Facial Emotion …

Emotion recognition from facial expression is the subfield of social signal processing which
is applied in wide variety of areas, specifically for human and computer interaction. Many …

Facial expressions play a significant role in social communication since they convey a lot of
information about people, such as moods, emotions, and other things. Many researchers …

It is widely accepted that the music can create and evoke a wide variety of emotions in the
listener. However, music is an audio signal consisting of a wide variety of complex …

The practical implications of human facial emotion recognition (FER) have sparked interest
in the research community. The primary focus in FER is to map diverse face emotions to their …

Emotions play an important role in identification of the interest of user with respect to
product, technology and other parameter. A human being has so many emotions which is …