Open AccessFacial Emotions Recognition Using Deep Learning Technology
Author(s) -
Abhinav Chaubey
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38100
Subject(s) - artificial intelligence , computer science , facial expression , pattern recognition (psychology) , surprise , forehead , support vector machine , histogram , face (sociological concept) , happiness , histogram of oriented gradients , emotion classification , feature (linguistics) , grayscale , anger , facial recognition system , computer vision , image (mathematics) , psychology , communication , medicine , social psychology , social science , linguistics , philosophy , surgery , psychiatry , sociology
Artificial Intelligent give us capability to detect emotions of human being. Due variation of individual expression it is difficult to find precisely. With AI we can mimics a human's capability like recognising someone with a restricted facial feature. this . paper, of mine indentify the face emotions by detecting areas of face like eyes, nose, lips, and forehead. By implementing two repressing methods like histogram and data augmentation we propos to extract characteristics of facial emotion. Here in this paper two dimensional architecture is used. First is used for inputting greyscale of face image where as second is for accepting histograms. the final process calculate the result on the bases of KNN and SVM classifiers. The results indicates that proposed algorithm detect six fundamental facial emotions , Happiness, Anger, Fear and surprise. Précised result are expected by using trained model data set. Keywords: SVM, KNN, FER, DNN, VGG16, HOG, HSOG.