fNIRS 기반 실시간 집중력 모니터링 모바일 애플리케이션
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강선화 | - |
dc.contributor.author | 이현주 | - |
dc.contributor.author | 나희원 | - |
dc.contributor.author | 동서연 | - |
dc.date.accessioned | 2022-04-19T09:27:53Z | - |
dc.date.available | 2022-04-19T09:27:53Z | - |
dc.date.issued | 2021-02 | - |
dc.identifier.issn | 1229-7771 | - |
dc.identifier.issn | 2384-0102 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146811 | - |
dc.description.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. | - |
dc.format.extent | 10 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 한국멀티미디어학회 | - |
dc.title | fNIRS 기반 실시간 집중력 모니터링 모바일 애플리케이션 | - |
dc.title.alternative | Mobile Application for Real-Time Monitoring of Concentration Based on fNIRS | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.9717/kmms.2020.24.2.295 | - |
dc.identifier.bibliographicCitation | 멀티미디어학회논문지, v.24, no.2, pp 295 - 304 | - |
dc.citation.title | 멀티미디어학회논문지 | - |
dc.citation.volume | 24 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 295 | - |
dc.citation.endPage | 304 | - |
dc.identifier.kciid | ART002686875 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Brain-computer interface | - |
dc.subject.keywordAuthor | Concentration Monitoring | - |
dc.subject.keywordAuthor | Functional near-infrared spectroscopy | - |
dc.identifier.url | http://koreascience.or.kr/article/JAKO202106763002139.page | - |
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