Gaze Tracking System for Evaluating Concentration on Online Courses

• Main Authors: Tzu-Chi Kao, 高子祺
• Other Authors: Tsung-Ying Sun
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/tnjct8

碩士 === 國立東華大學 === 電機工程學系 === 106 === 　Recently, with the advance of computer science and internet, online course such as MOOC and webinar has been a popular educational application. However, online course students are easily distracted from the course by entertainment applications. In order to solve this problem, the technique for evaluating learners’ concentration becomes critical. 　This thesis proposes a gaze tracking system for evaluating concentration on online courses. This system can be divided into two parts: gaze tracking module and evaluating concentration module. Gaze tracking module uses fuzzy logic system and pupils position to infer the eye-gaze location of learners. And then evaluating concentration module uses the gaze location to evaluating learner’s concentration score. 　The experiment results showed that the proposed system estimated the gaze location effectively. And then learner’s concentration score could help learner being well aware of learning situation.