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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM11432

Face Emotion Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM11432

Volume:

6 |

4 |

Apr 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

RS

Rishikesh Salvi

VR

Vighnesh Raut

AC

Abhishek Chorge

DPG

Dr. P.A Ghonge

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Abstract

Human Emotion detection from image is one of the most powerful and challenging research task in social communication. Deep learning based emotion detection gives performance better than traditional methods with image processing. This system is an artificial intelligence systemcapableofemotion detectionthrough facial expressions. It discusses about the procedure of emotion detection, which includes basically three main steps: face detection, features extraction, and emotion classification. This model proposed a convolutionalneural networks(CNN)and uses 3D face models based on deep learning architecture for emotion detection fromimages. Applicationsof face recognition detection extend across diverse fields and addressing challenges related to robustness, privacy, and ethical considerations is essential for the widespread and responsible adoption of face recognition technologyinthesefields.

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Cite This Article

Rishikesh Salvi, Vighnesh Raut, Abhishek Chorge, Dr. P.A Ghonge, "Face Emotion Recognition," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 4, Apr 2022.

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Publication Date

4/5/2024

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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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