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http://dx.doi.org/10.9717/kmms.2020.24.2.295

Mobile Application for Real-Time Monitoring of Concentration Based on fNIRS  

Kang, Sunhwa (Dept. of Information Technology Eng., Sookmyung Women's University)
Lee, Hyeonju (Dept. of Information Technology Eng., Sookmyung Women's University)
Na, Heewon (Dept. of Information Technology Eng., Sookmyung Women's University)
Dong, Suh-Yeon (Dept. of Information Technology Eng., Sookmyung Women's University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.2, 2021 , pp. 295-304 More about this Journal
Abstract
Learning assistance system that continuously measures user's concentration will be helpful to grasp the concentration pattern and adjust the learning method accordingly to improve the learning efficiency. Although a lot of various learning aids have been proposed, there have been few studies on the concentration monitoring system in real time. Therefore, in this study, we developed an Android-based mobile application that can measure concentration during study by using functional near-infrared spectroscopy, which is used to measure brain activity. First, the task accuracy was predicted at a maximum level of 93.75% from the prefrontal oxygenation characteristics measured while performing the visual Q&A task on 11 college students, and a concentration calculation formula based on a linear regression model was derived. Then, a survey on the usability of the mobile application was conducted, overall high satisfaction and positive opinions were obtained. From these findings, this application can be used as a customized learning aid application for users, and further, it can help educators improve the quality of classes based on the level of concentration of learners.
Keywords
Brain-computer interface; Concentration Monitoring; Functional near-infrared spectroscopy;
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