Emotion Analysis of E-Customers Using Face Recognition

Authors

  • Navle S MCA Student, University of Mumbai
  • Athawale U MCA Student, University of Mumbai

DOI:

https://doi.org/10.26438/ijcse/v7i6.690694

Keywords:

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

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.

References

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Shrikanth Narayanan, “Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information.”, 2004

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IJAR, June 2017.

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[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.

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Published

2019-06-30
CITATION
DOI: 10.26438/ijcse/v7i6.690694
Published: 2019-06-30

How to Cite

[1]
S. Navle and U. Athawale, “Emotion Analysis of E-Customers Using Face Recognition”, Int. J. Comp. Sci. Eng., vol. 7, no. 6, pp. 690–694, Jun. 2019.

Issue

Vol. 7 No. 6 (2019): IJCSE June Edition

Section

Research Article

License

Creative Commons License

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