UGC Approved Journal no 63975(19)

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

Volume 10 Issue 3
March-2023
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:
JETIR2303733


Registration ID:
510813

Page Number

h203-h208

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Title

DEPRESSION DETECTION FROM FACIAL BEHAVIOUR THROUGH DEEP LEARNING USING MTCNN ALGORITHM

Abstract

This study examines related literature to propose a model based on machine learning (ML) that can assist in the diagnosis of depressive disorder. Depressive disorder can be diagnosed through a self-report questionnaire, but it is necessary to check the mood and confirm the consistency of subjective and objective descriptions. Millions of people worldwide suffer from depression. There are some differences in condition of mental health between two people who have the same disorder. The degree of depression is analyzed through video-recorded clinical meetings. In worldwide there are 350 million people suffering from depression. Depression patients find hard to concentrate on their software work field. The camera-based assistance in diagnosing depressive disorders can quickly lead to their identification and provide data for intervention provision. Through Multi task cascaded convolution networks (MTCNN), a deep learning method that recognizes vector-based information, a model to assist in the diagnosis of depressive disorder can be devised by checking the position change of the eyes and lips and guessing face emotions based on accumulated photos of the participants who will repeatedly participate in the diagnosis of depressive disorder.

Key Words

Fast MTCNN, depressive disorder, deep learning, diagnosis, facial expression.

Cite This Article

"DEPRESSION DETECTION FROM FACIAL BEHAVIOUR THROUGH DEEP LEARNING USING MTCNN ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.h203-h208, March-2023, Available :http://www.jetir.org/papers/JETIR2303733.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 FROM FACIAL BEHAVIOUR THROUGH DEEP LEARNING USING MTCNN ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pph203-h208, March-2023, Available at : http://www.jetir.org/papers/JETIR2303733.pdf

Publication Details

Published Paper ID: JETIR2303733
Registration ID: 510813
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: h203-h208
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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