UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107805


Registration ID:
313870

Page Number

g571-g584

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Title

FACIAL EXPRESSION RECOGNITION USING FEATURES EXTRACTION BASED ON CNN AND RNN ALGORITHMS

Abstract

Emotion is an important topic in different fields such as biomedical engineering, psychology, neuroscience and mental health. This emotion recognition is very important aspect which is used for diagnosis of human brain and psychological disorders. In a recent survey, deep learning have gained a lot of users attention in the field of image classification. These emotions is used for not only diagnosis of human brain but also used as a recommender systems to assist users in finding items that match their needs and preferences. This motivated us to develop a system which can effectively and efficiently recognizes emotions from the facial expressions of the user. In this proposed work we try to design an application which can be used for prediction of expressions of both still images and then check the performance of CNN along with recurrent neural network(RNN) model. Once the image is captured from the video sequences the system will automatically detects face using HAAR cascade then its crops it and resize the image to the specified dimension and give to the model for prediction. The model will generate seven probability values corresponding to seven expressions. By comparing the two models we try to conclude which model gives more accuracy for facial expression recognition for that image dataset.

Key Words

FACIAL EXPRESSION RECOGNITION USING FEATURES EXTRACTION BASED ON CNN AND RNN ALGORITHMS

Cite This Article

"FACIAL EXPRESSION RECOGNITION USING FEATURES EXTRACTION BASED ON CNN AND RNN ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.g571-g584, July-2021, Available :http://www.jetir.org/papers/JETIR2107805.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FACIAL EXPRESSION RECOGNITION USING FEATURES EXTRACTION BASED ON CNN AND RNN ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppg571-g584, July-2021, Available at : http://www.jetir.org/papers/JETIR2107805.pdf

Publication Details

Published Paper ID: JETIR2107805
Registration ID: 313870
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: g571-g584
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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