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Emotion Analysis of E-Customers Using Face Recognition

Sagar Navle1 , Uttara Athawale2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 690-694, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.690694

Online published on Jun 30, 2019

Copyright © Sagar Navle, Uttara Athawale . 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: Sagar Navle, Uttara Athawale, “Emotion Analysis of E-Customers Using Face Recognition,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.690-694, 2019.

MLA Style Citation: Sagar Navle, Uttara Athawale "Emotion Analysis of E-Customers Using Face Recognition." International Journal of Computer Sciences and Engineering 7.6 (2019): 690-694.

APA Style Citation: Sagar Navle, Uttara Athawale, (2019). Emotion Analysis of E-Customers Using Face Recognition. International Journal of Computer Sciences and Engineering, 7(6), 690-694.

BibTex Style Citation:
@article{Navle_2019,
author = {Sagar Navle, Uttara Athawale},
title = {Emotion Analysis of E-Customers Using Face Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {690-694},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4613},
doi = {https://doi.org/10.26438/ijcse/v7i6.690694}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.690694}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4613
TI - Emotion Analysis of E-Customers Using Face Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - Sagar Navle, Uttara Athawale
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 690-694
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

In Today’s world it is easy to recognize the emotion of a person by just looking at his/her facial expressions. For a sales person it is important to know whether his customers is convinced to buy a product or not, the factors through which he can identify this is by observing the behaviour and emotions. For e-commerce such as Amazon and Flipkart it becomes difficult to identify the emotional state of a person. The interaction and communication between human beings and computers will be more natural if computers are able to understand and respond to the emotions of an individual [1]. This paper provides us a way through which the e-commerce business can plan strategies, recommend relevant products and keep a track of customer’s habit using facial emotions.

Key-Words / Index Term

FER – Facial emotion recognition, SCQ Framework, Factor Mapping, AI, Video file ingestion, Restful service.

References

[1] Carlos Busso, Zhigang Deng , Serdar Yildirim, Murtaza Bulut, Chul Min Lee, Abe Kazemzadeh, Sungbok Lee, Ulrich Neumann,
Shrikanth Narayanan, “Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information.”, 2004
[2] Hitesh Patil & Shivkumar Goel, “Machine learning based credit card fraud analysis, modelling, detection and deployment”,
IJAR, June 2017.
[3] https://www.12manage.com/methods_minto_pyramid_principle.html
[4] Paweł Tarnowski, Marcin Kołodziej, Andrzej Majkowski, Remigiusz J. Rak, “Emotion recognition using facial expressions.”
ICCS 2017,, 12-14 June 2017.
[5] https://sebastianraschka.com/faq/docs/difference_classifier_model.html
[6] https://www.shutterstock.com/image-photo/portrait-sad-girl-close-262567214?src=NFgYsCmJmPq3IxzznFJ9Og-1-2
[7] Byoung Chul Ko, “A Brief Review of Facial Emotion Recognition Based on Visual Information”. 30th January 2018
[8] Lundqvist D., Flykt A., Öhman A., The Karolinska Directed Emotional Faces - KDEF, CDROM from Department of Clinical
Neuroscience, Psychology section, Karolinska Institutet, no.1998.