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Published in:

Volume 8 Issue 1
January-2021
eISSN: 2349-5162

Unique Identifier

JETIR2101029

Page Number

180-183

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Title

FACIAL EMOTION RECOGNIZATION USING CONVOLUTION NEURAL NETWORK

ISSN

2349-5162

Cite This Article

"FACIAL EMOTION RECOGNIZATION USING CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.180-183, January-2021, Available :http://www.jetir.org/papers/JETIR2101029.pdf

Abstract

Facial Emotion is in general how the person feel in inner side either sad, happy, angry or any other emotion which is seen in the face. Through the facial emotion the person feeling will be evident in the face. The facial emotion recognition has got large importance with increase in the application of facial emotion detection in the various fields. The some of the applications of the facial emotion are medical, Law, Marketing, Security system, Entertainment, call center system, Monitoring, E-learning. In general human emotion can be detected with the facial expressions, voice, and body language. These methods are used by human in general to predict the emotion of the person. The human prediction of emotion will show the accurate results. So in order to use the facial emotion recognition in various fields, the automation of this emotion detection should be done. The some of the pervious works done in the facial emotion detection are the detection systems developed using the machine learning, Image processing, ECG. But some previous works like ECG is complex to use in the general applications. The other work involving the image processing, Machine learning has some limitations like the accuracy shown is not sufficient for the real time applications. In this paper the facial emotion reorganization is implemented using the deep Learning Techniques. The convolutional Neural Network is used to implement the proposed model. The Major issue in the facial emotion detection is recognizing the face in the live or in the image. In the proposed method the pre-trained cascade classifiers are used for the face reorganization. The Haarcascade front face classifier is used to detect face and the detected face is used for further prediction of emotion using the designed model. The fer2013 dataset is used for the training of the model which contain the 7 categories of emotions.

Key Words

Convolutional Neural Network, cascade classifiers, Convolution Layer, Facial Emotion, Face Recognition.

Cite This Article

"FACIAL EMOTION RECOGNIZATION USING CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp180-183, January-2021, Available at : http://www.jetir.org/papers/JETIR2101029.pdf

Publication Details

Published Paper ID: JETIR2101029
Registration ID: 304841
Published In: Volume 8 | Issue 1 | Year January-2021
DOI (Digital Object Identifier):
Page No: 180-183
ISSN Number: 2349-5162

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Cite This Article

"FACIAL EMOTION RECOGNIZATION USING CONVOLUTION NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp180-183, January-2021, Available at : http://www.jetir.org/papers/JETIR2101029.pdf




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