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Recognizing Human Emotional State from a Machine

Saniya Zahoor1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 674-678, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.674678

Online published on Feb 28, 2019

Copyright © Saniya Zahoor . 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: Saniya Zahoor , “Recognizing Human Emotional State from a Machine,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.674-678, 2019.

MLA Style Citation: Saniya Zahoor "Recognizing Human Emotional State from a Machine." International Journal of Computer Sciences and Engineering 7.2 (2019): 674-678.

APA Style Citation: Saniya Zahoor , (2019). Recognizing Human Emotional State from a Machine. International Journal of Computer Sciences and Engineering, 7(2), 674-678.

BibTex Style Citation:
@article{Zahoor_2019,
author = {Saniya Zahoor },
title = {Recognizing Human Emotional State from a Machine},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {674-678},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3724},
doi = {https://doi.org/10.26438/ijcse/v7i2.674678}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.674678}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3724
TI - Recognizing Human Emotional State from a Machine
T2 - International Journal of Computer Sciences and Engineering
AU - Saniya Zahoor
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 674-678
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Emotion recognition is an approach to detect and analyze different human emotions from their facial expressions. We, humans, have versatile and consistent abilities through variable among individuals in detecting emotions, but the high-speed computer/ machines lag humans in this capability. Here, an approach is developed which will make the machines detect human emotions and learn to behave with them by analyzing their emotions. In this paper, computer vision techniques are used for feature extraction and machine learning tools and Artificial Intelligence tools for training purposes. This paper proposes a neural network based solution combined with image processing in classifying the universal emotions – Happiness, Sadness, Anger, Disgust, Surprise, and Fear.

Key-Words / Index Term

Emotions, Neural Networks, Artificial Intelligence, Data Mining, Image Processing

References

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