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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM12923

Depression Analysis Using Facial Recognition, Speech and Questionnaires

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM12923

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DP

Daksh Patel

OB

Omkar Bhor

HP

Het Patel

DS

Deepak Shingade

MEC

Ms. Ekta Choudhari

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Abstract

Depression has long been a source of worry in our culture, and it has remained a hot issue for scholars all around the world. Depression is a common cause of mental illness that has been associated with an increased risk of dying early. Furthermore, it is a leading cause of suicide ideation and significantly impairs everyday functioning. Despite the vast amount of research on understanding individual moods, including depression, anxiety, and stress-related activity, Predicting emotions using these activity records collected by ubiquitous computing devices such as cellphones remains an unsolved task. In this project, we have proposed a system for detecting suicidal thoughts and analysing depression, for predicting suicidal acts based on the level of depression.

KEYWORDS

Depression Stress Anxiety Risk.

Cite This Article

Daksh Patel, Omkar Bhor, Het Patel, Deepak Shingade, Ms. Ekta Choudhari, "Depression Analysis Using Facial Recognition, Speech and Questionnaires," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

8/4/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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