Real-Time Emotion Recognition System using Facial Expressions and Soft Computing methodologies

Journal of Science Technology and Research (JSTAR) 3 (1):1-14 (2022)
  Copy   BIBTEX

Abstract

Facial Expression conveys non-verbal cues, which plays an important role in interpersonal relations. The Cognitive Emotion AI system is the process of identifying the emotional state of a person. The main aim of our study is to develop a robust system which can detect as well as recognize human emotion from live feed. There are some emotions which are universal to all human beings like angry, sad, happy, surprise, fear, disgust and neutral. The methodology of this system is based on two stages- facial detection is done by extraction of Haar Cascade features of a face using Viola Jones algorithm and then the emotion is verified and recognized using Artificial Intelligence Techniques. The system will take image or frame as an input and by providing the image to the model the model will perform the preprocessing and feature selection after that it will be predict the emotional state.

Author's Profile

Analytics

Added to PP
2022-05-27

Downloads
2,047 (#5,425)

6 months
363 (#3,772)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?