Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing
Source : Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, ACM (2014)
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : Computer Science, E-Learning
Verified : Yes
Year : 2014
Abstract : In this paper, we have reviewed the current state of the art about attentiveness detection methods used in e-learning. Classification of the prior works is done based on features measured, affective states considered, affect classification method and e-learning context. We have listed the drawbacks of webcam based elearning systems. We have also proposed a framework for elearning classroom. The different attention patterns exhibited by students under e-learning are studied. The potential applications of attentiveness detection system in e-learning are explored.
Cite this Research Publication : A. S Narayanan, Kaimal, M. R., Kamal Bijlani, Prasanth, M., and K Kumar, S., “Computer Vision based Attentiveness Detection Methods in E-Learning”, in Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing, 2014.