Automatic Learner Focus Detection System Over A Live Feed

Authors(3) :-Poorani G., Sudharsan V., Moses Mano Raj J.

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.

Authors and Affiliations

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

Webinars, Computer Technologies, Eye Gaze Prediction, Focus.

  1. http://www.kurento.org/documentation
  2. Fabian Timm and Erhardt Barth - “Accurate Eye Centre Localisation by means of Gradients”
  3. Roberto Valenti, Nicu Sebe , and Theo Gevers - “Combining Head Pose and Eye Location Information for Gaze Estimation”
  4. Xuehan Xiong ,Fernando De la Torre - “Supervised Descent Method and its Applications to Face Alignment”
  5. Hiyam Hatem , Zou Beiji , Raed Majeed , Jumana Waleed Mohammed Lutf - “Head Pose Estimation Based On Detecting Facial Features “
  6. Oliver Jesorsky, Klaus J. Kirchberg, and Robert W. Frischholz - “Robust Face Detection”
  7. Tom Heyman , Vincent Spruyt , Alessandro Ledda - 3D Face “Tracking and Gaze Estimation Using a Monocular Camera”
  8. Luke Allen and Adam Jensen - “Webcam-based Gaze Estimation”
  9. Dan Ristic - “Learning Web RTC ”
  10. Adrian Kaehler and Gary Bradski-”Learning Open CV”
  11. https://docs.Open CV.org/2.4.9/

Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 325-329
Manuscript Number : CSEIT195269
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Poorani G., Sudharsan V., Moses Mano Raj J., "Automatic Learner Focus Detection System Over A Live Feed", International 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
Journal URL : http://ijsrcseit.com/CSEIT195269

Article Preview