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fNIRS 기반 실시간 집중력 모니터링 모바일 애플리케이션

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dc.contributor.author강선화-
dc.contributor.author이현주-
dc.contributor.author나희원-
dc.contributor.author동서연-
dc.date.accessioned2022-04-19T09:27:53Z-
dc.date.available2022-04-19T09:27:53Z-
dc.date.issued2021-02-
dc.identifier.issn1229-7771-
dc.identifier.issn2384-0102-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146811-
dc.description.abstractLearning 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.-
dc.format.extent10-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국멀티미디어학회-
dc.titlefNIRS 기반 실시간 집중력 모니터링 모바일 애플리케이션-
dc.title.alternativeMobile Application for Real-Time Monitoring of Concentration Based on fNIRS-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.9717/kmms.2020.24.2.295-
dc.identifier.bibliographicCitation멀티미디어학회논문지, v.24, no.2, pp 295 - 304-
dc.citation.title멀티미디어학회논문지-
dc.citation.volume24-
dc.citation.number2-
dc.citation.startPage295-
dc.citation.endPage304-
dc.identifier.kciidART002686875-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorBrain-computer interface-
dc.subject.keywordAuthorConcentration Monitoring-
dc.subject.keywordAuthorFunctional near-infrared spectroscopy-
dc.identifier.urlhttp://koreascience.or.kr/article/JAKO202106763002139.page-
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공과대학 (인공지능공학부)
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