Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.number | 10 | - |
dc.citation.startPage | 1101 | - |
dc.citation.title | ELECTRONICS | - |
dc.citation.volume | 8 | - |
dc.contributor.author | Kim, Minju | - |
dc.contributor.author | Kim, Min-Ki | - |
dc.contributor.author | Hwang, Minho | - |
dc.contributor.author | Kim, Hyun-Young | - |
dc.contributor.author | Cho, Jeongho | - |
dc.contributor.author | Kim, Sung-Phil | - |
dc.date.accessioned | 2023-12-21T18:41:09Z | - |
dc.date.available | 2023-12-21T18:41:09Z | - |
dc.date.created | 2019-11-20 | - |
dc.date.issued | 2019-09 | - |
dc.description.abstract | Brain–computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at home. In this study, we developed an online BCI based on scalp electroencephalography (EEG) to control home appliances. The BCI users controlled TV channels, a digital door-lock system, and an electric light system in an unshielded environment. The BCI was designed to harness P300 andN200 components of event-related potentials (ERPs). On average, the BCI users could control TV channels with an accuracy of 83.0% ± 17.9%, the digital door-lock with 78.7% ± 16.2% accuracy, and the light with 80.0% ± 15.6% accuracy, respectively. Our study demonstrates a feasibility to control multiple home appliances using EEG-based BCIs. | - |
dc.identifier.bibliographicCitation | ELECTRONICS, v.8, no.10, pp.1101 | - |
dc.identifier.doi | 10.3390/electronics8101101 | - |
dc.identifier.issn | 2079-9292 | - |
dc.identifier.scopusid | 2-s2.0-85073574029 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/30744 | - |
dc.identifier.url | https://www.mdpi.com/2079-9292/8/10/1101 | - |
dc.identifier.wosid | 000498262700041 | - |
dc.language | 영어 | - |
dc.publisher | MDPI AG | - |
dc.title | Online home appliance control using EEG-Based brain-computer interfaces | - |
dc.type | Article | - |
dc.description.isOpenAccess | TRUE | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Brain–computer interface | - |
dc.subject.keywordAuthor | Digital door-lock | - |
dc.subject.keywordAuthor | Electric light | - |
dc.subject.keywordAuthor | Electroencephalography | - |
dc.subject.keywordAuthor | Event-related potential | - |
dc.subject.keywordAuthor | Home appliance | - |
dc.subject.keywordAuthor | TV | - |
dc.subject.keywordPlus | ENVIRONMENTAL-CONTROL | - |
dc.subject.keywordPlus | P300 | - |
dc.subject.keywordPlus | ATTENTION | - |
dc.subject.keywordPlus | P3A | - |
dc.subject.keywordPlus | COMMUNICATION | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | MEMORY | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.