Automatic Learner Focus Detection System Over A Live Feed

Authors

  • Poorani G.  Assistant Professor, Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India
  • Sudharsan V.  Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India
  • Moses Mano Raj J.  Department of Computer Science, Sri Krishna College of Technology Kovaipudur, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT195269

Keywords:

Webinars, Computer Technologies, Eye Gaze Prediction, Focus.

Abstract

The world is turning into a technological sphere. The technologies are evolving every second. With everything available in the Internet, people have started preferring to take their lectures and classes online. And so have the seminars turned into webinars, seminars over web. This system mainly concentrates on determining if a viewer attending the webinar is focused or not towards it. The main aim of this system is to recognize the eye gaze of a viewer over a live session with the help of some computer technologies and letting the presenter know if the viewer is focused on the session or not. By this, the presenter will know how well he/she is capable of keeping his viewers focused and he/she can work on his skills if the viewers are not focused. The access to the viewer's webcam is sufficient to achieve the goal.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Poorani G., Sudharsan V., Moses Mano Raj J., " Automatic Learner Focus Detection System Over A Live Feed, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.325-329, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT195269