Paper Contents
Abstract
Emotion recognition systems based on facial gesture enable real-time analysis, tagging, and inference of cognitive affective states from a video recording of the face.It is assumed that facial expressions are triggered for a time period when an emotion is experienced, and so emotion detection can be achieved by detecting the facial expression related to it. Out of all the major 6 emotions present,depression plays a vital role. Depression is classified as a mood disorder. It may be described as feelings of sadness,anger or loss that interfere with a persons everyday activities. People experience depression in different ways. In certain cases, depression may lead to fatal cases. In order to avoid all of these, depression must be detected at the earliest and victim must be treated with appropriate remedies. The objective of the project is to analyse the emotion of a user using realtime video. This is achieved using Convolutional Neural Networks CNN. If the emotion is analysed as depression, then it has to be treated at the early stages. As the symptoms worsen, the mental ability of an individual goes out of control which leads to a disorder.
Copyright
Copyright © 2023 PANCHAMI S. This is an open access article distributed under the Creative Commons Attribution License.
