Publication Type : Conference Paper
Thematic Areas : Amrita e-Learning Research Lab
Publisher : ICTEE
Source : IEEE International Conference on Technology Enhanced Education, ICTEE
Keywords : Algorithms, Attention Analysis, Attention States, Cameras, E-learning, E-learning environment, Engineering education, Execution time, Eye corners, Eye-tracking, Image frames, Non-intrusive, Real-time application, Scale and rotation, Simple geometric models, State classification, Students, Tracking system, Web camera
Campus : Amritapuri
School : School of Engineering
Center : E-Learning
Department : Computer Science, E-Learning
Year : 2012
Abstract : A real-time non-intrusive attention tracking system using a simple web camera is proposed in this paper. This system is scale and rotation invariant and tolerant to blink related false attention state classifications. Attention states of the students are classified into three: attentive, sleepy and disappeared. A simple geometric model for eye corners detection is proposed. Active and passive attention tracking experiments are conducted with a 54 minutes video lecture as the e-learning session content. Experimental results show that the proposed system clearly discriminates the attention states of the student participated in the E-learning session. The execution time of the proposed algorithm is 10 milliseconds per image frame. The proposed system is highly suitable for real-time applications. © 2012 IEEE.
Cite this Research Publication : S. A. Narayanan, Prasanth, M., Mohan, P., Kaimal, M. R., and Kamal Bijlani, “Attention Analysis in E-learning Environment using a Simple Web Camera”, in Proceedings - 2012 IEEE International Conference on Technology Enhanced Education, ICTEE 2012, Kerala, 2012.