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AI Desktop Partner Facial Expression Detection

A.S. Gawade1 , Y.C. Gaikwad2 , A.T. Lambar3

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-3 , Page no. 75-77, Mar-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i3.7577

Online published on Mar 30, 2020

Copyright © A.S. Gawade, Y.C. Gaikwad, A.T. Lambar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A.S. Gawade, Y.C. Gaikwad, A.T. Lambar, “AI Desktop Partner Facial Expression Detection,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.3, pp.75-77, 2020.

MLA Style Citation: A.S. Gawade, Y.C. Gaikwad, A.T. Lambar "AI Desktop Partner Facial Expression Detection." International Journal of Computer Sciences and Engineering 8.3 (2020): 75-77.

APA Style Citation: A.S. Gawade, Y.C. Gaikwad, A.T. Lambar, (2020). AI Desktop Partner Facial Expression Detection. International Journal of Computer Sciences and Engineering, 8(3), 75-77.

BibTex Style Citation:
@article{Gawade_2020,
author = {A.S. Gawade, Y.C. Gaikwad, A.T. Lambar},
title = {AI Desktop Partner Facial Expression Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2020},
volume = {8},
Issue = {3},
month = {3},
year = {2020},
issn = {2347-2693},
pages = {75-77},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5054},
doi = {https://doi.org/10.26438/ijcse/v8i3.7577}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i3.7577}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5054
TI - AI Desktop Partner Facial Expression Detection
T2 - International Journal of Computer Sciences and Engineering
AU - A.S. Gawade, Y.C. Gaikwad, A.T. Lambar
PY - 2020
DA - 2020/03/30
PB - IJCSE, Indore, INDIA
SP - 75-77
IS - 3
VL - 8
SN - 2347-2693
ER -

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Abstract

In this paper focuses on a system of recognizing human’s emotion detected from a human’s face. The analysed information is conveyed by the regions of the eye’s and the mouth and the image is compared with the database created which consist of various facial expressions pertaining to six universal basic facial emotions. The methodology uses a classification technique of information into a new fused image which is composed of two blocks integrated by the area of the eyes and mouth, very sensitive areas to changes human’s expressions. This system focuses on the facial expressions and by detecting them it helps to relieve the stress of the user by providing the various platforms such as the Chat Bot, Music Player, etc. this is based on the detected expressions of the user and the system uses the machine learning for this purpose. 

Key-Words / Index Term

Desktop partner, stress relief, emotion detection, etc.

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