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http://dx.doi.org/10.22156/CS4SMB.2020.10.11.195

Development of concentration measurement system in online education based on OpenCV  

Yim, Dae-Geun (Department of Information and Commuication Engineering, Sangmyung University)
Koh, Kyu Han (Dept. of Computer Science, California State University Stanislaus)
Jo, Jaechoon (Division of Computer Engineering, Hanshin University)
Publication Information
Journal of Convergence for Information Technology / v.10, no.11, 2020 , pp. 195-201 More about this Journal
Abstract
There have been many developments and innovations in the educational environments in line with the rapidly evolving information age. E-Learning is a representative example of this rapid evolution. However, E-Learning is challenging to maintain students' concentration because of the low engagement level and limited interactions between instructors and students. Additionally, instructors have limitations in identifying learners' concentration. This paper proposes a system that can measure E-learning users' concentration levels by detecting the users' eyelid movement and the top of the head. The system recognizes the eyelid and the top of the head and measures the learners' concentration level. Detection of the eyelid and the top of the head triggers an event to assess the learners' concentration level based on the users' response. After this process, the system provides a normalized concentration score to the instructor. Experiments with experimental groups and control groups were conducted to verify and validate the system, and the concentration score showed more than 90% accuracy.
Keywords
E-Learning; OpenCV; Concentration; On-line Education; Automatic;
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Times Cited By KSCI : 7  (Citation Analysis)
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