A system for monitoring the engagement of remote online students using eye gaze estimation

Pooya Khorrami, Vuong Le, John C Hart, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a system for monitoring the engagement of remote students in an online educational environment. We introduce a novel gaze estimation system that uses a client-side video-based 3D face tracking algorithm, and expands it to estimate the head pose, and intersects this pose-based gaze line of sight with the screen (coplanar with the camera) to estimate the screen position currently viewed. Our preliminary experiments indicate this approach can accurately determine the coarse location of a student's gaze and use it as a cue for engagement estimation. Our system operates in real-time and achieves comparable performance to state-of-the-art gaze estimation techniques that account for free head motion.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479947171
DOIs
StatePublished - Sep 3 2014
Event2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 - Chengdu, China
Duration: Jul 14 2014Jul 18 2014

Publication series

Name2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014

Other

Other2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
CountryChina
CityChengdu
Period7/14/147/18/14

Keywords

  • Face Tracking
  • Gaze Estimation
  • Head Pose Estimation
  • Student Monitoring System

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'A system for monitoring the engagement of remote online students using eye gaze estimation'. Together they form a unique fingerprint.

  • Cite this

    Khorrami, P., Le, V., Hart, J. C., & Huang, T. S. (2014). A system for monitoring the engagement of remote online students using eye gaze estimation. In 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 [6890573] (2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEW.2014.6890573