Facial Emotion Recognition

Japleen Kaur, Jhalak Saxena, Jayesh Shah,  Fahad, Satya Prakash Yadav

20222022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)74 citationsDOI

Abstract

Humans may make thousands of facial expressions throughout a discussion, varying in intricacy, passion, and significance. This paper discusses way of recognizing different emotions produced by humans using a software application that make use of Haar-Cascade Algorithm and a pre-trained dataset DeepFace. We have used DeepFace with the help of Which we have achieved roughly about 97 percent accuracy approximately. In this paper we also have tried to analyze the problem associated with previous methods. We have also made comparisons of different other technologies with deep face and compared their Accuracies. In paper we have carried out real-time emotion detection in a webcam which is able to detect the emotion of one person. It can be further upgraded to detect the emotion of multiple faces at a time.

Topics & Concepts

Computer scienceEmotion recognitionArtificial intelligenceHaar-like featuresFacial expressionFacial recognition systemSoftwareFace (sociological concept)Emotion detectionFace detectionSpeech recognitionEmotion classificationMachine learningPattern recognition (psychology)Computer visionSocial scienceProgramming languageSociologyFace recognition and analysisFace and Expression RecognitionVideo Surveillance and Tracking Methods