Paper Info
Title
Concentration Monitoring for Intelligent Tutoring System Based on Pupil and Eye-blink
Abstract
Monitoring the concentration level of a learner is important to maximize the learning effect, giving proper feedback on tasks and to understand the performance of learners in tasks. In this paper, we propose a personal concentration level monitoring system when a user performs an online task on a computer by analyzing his/her pupillary response and eye-blinking pattern. We use low-priced web camera to detect eye blinking pattern and a portable eye tracker to detect pupillary response. Experimental results show good performance of the proposed concentration level monitoring system and suggest that it can be used for various real applications such as intelligent tutoring system, e-learning system, etc.
Year
DOI
Venue
2015
10.1145/2814940.2815000
HAI
Field
DocType
Citations 
Computer vision,Learning effect,Pupillary response,Intelligent tutoring system,Monitoring system,Simulation,Computer science,Pupil,Eye tracking,Artificial intelligence,Eye blinking,Eye blink
Conference
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Giyoung Lee1394.49
Amitash Ojha2185.60
Minho Lee343.16