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:
JETIR2107574


Registration ID:
313067

Page Number

e540-e549

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Title

Depression Detection Based On Facial Expressions Using Machine Learning And Deep Learning Techniques

Abstract

Depression has played an imperative role in our society and humans have realized the importance of Machine learning and how these techniques can be used to detecting different emotions. Many other ailments can be detected with Machine learning techniques. This model is done to detect 7 emotions using the purpose of the proposed research so as to use Convolutional Neural Network on a human face and depression is highlighted in real-time. An accuracy of 85.78% has been achieved in this work. It is required to find the limit to which we can identify the person with depressed traits to determine the level of depression. The classification plays a main role in finding out the kind of help a depressed person needs.

Key Words

Machine Learning, CNN, Haar Cascade Classifier, Ck+ dataset

Cite This Article

"Depression Detection Based On Facial Expressions Using Machine Learning And Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e540-e549, July-2021, Available :http://www.jetir.org/papers/JETIR2107574.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

"Depression Detection Based On Facial Expressions Using Machine Learning And Deep Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe540-e549, July-2021, Available at : http://www.jetir.org/papers/JETIR2107574.pdf

Publication Details

Published Paper ID: JETIR2107574
Registration ID: 313067
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: e540-e549
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162


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