@inproceedings{eee0791f85c04e74bcb38941223d8a32,
title = "A system for monitoring the engagement of remote online students using eye gaze estimation",
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.",
keywords = "Face Tracking, Gaze Estimation, Head Pose Estimation, Student Monitoring System",
author = "Pooya Khorrami and Vuong Le and Hart, {John C.} and Huang, {Thomas S.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 ; Conference date: 14-07-2014 Through 18-07-2014",
year = "2014",
month = sep,
day = "3",
doi = "10.1109/ICMEW.2014.6890573",
language = "English (US)",
series = "2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014",
address = "United States",
}