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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM23141

FACIAL GESTURE RECOGNITION

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM23141

Volume:

7 |

6 |

Jun 2023

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

SYN

Sumith Yadav. N

S

SuryaKiran.K

SM

Suryam. M

SRR

Swathi Reddy. R

SG

Swejana. G

P

Prof.Balaiah

SG

Swetha. G

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Abstract

Automatic emotion recognition based on facial expression is an interesting research field, which has presented and applied in several areas such as safety, health and in human machine interfaces. Researchers in this field are interested in developing techniques to interpret, code facial expressions and extract these features in order to have a better prediction by computer.Recognizing emotions from images or video is a trivial task for human eye, but proves to be very challenging for machines and requires many image processing techniques for feature extraction. Several machine learning algorithms are suitable for this job. Any detection or recognition by machine learning requires training algorithm and then testing them on a suitable dataset. This paper explores a couple of machine learning algorithms as well as feature extraction techniques which would help us in accurate identification of the human emotion.

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Cite This Article

Sumith Yadav. N, SuryaKiran.K, Suryam. M, Swathi Reddy. R, Swejana. G, Prof.Balaiah, Swetha. G, "FACIAL GESTURE RECOGNITION," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM23141

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Publication Date

7/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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