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.