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Emotion Recognition on E-Learning Community to Improve the Learning Outcomes Using Machine Learning Concepts: A Pilot Study

  • A. Jithendran
  • P. Pranav Karthik
  • S. Santhosh
  • J. NarenEmail author
Conference paper
  • 223 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

E-learning community, with its varied interest and expectations on its learning interface, needs more focus when it comes to providing them with the most suitable learning opportunities. This is a challenge considering the fact that there are millions of users belonging to the group. Hence in order to personalize the interface, simple and robust mechanisms must be framed. Humans exhibit different emotions when tied with varied interests. Emotions are thereby used in determining the user’s interests. Machine learning algorithms help in classifying emotions in an individual depending on the data given as input. Emotions are recognized from the speech of a person, textual sentiments given in a social media, facial images of the user, and facial expression captured during a session of an online tutorial on any subject. From emotions recognized from the above sources, a categorization of user’s likes and dislikes on the content can be made.

Keywords

Emotion recognition Machine learning Image processing Computer vision Multiple kernel learning 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • A. Jithendran
    • 1
  • P. Pranav Karthik
    • 1
  • S. Santhosh
    • 1
  • J. Naren
    • 1
    Email author
  1. 1.Department of Computer Science and EngineeringSASTRA Deemed to Be UniversityThanjavurIndia

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