Full metadata record
DC Field | Value | Language |
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dc.contributor.author | 이진희 | - |
dc.contributor.author | 박재형 | - |
dc.contributor.author | 김제석 | - |
dc.contributor.author | 권순 | - |
dc.date.accessioned | 2023-07-17T10:10:17Z | - |
dc.date.available | 2023-07-17T10:10:17Z | - |
dc.date.created | 2023-04-25 | - |
dc.date.issued | 2023-04 | - |
dc.identifier.issn | 1975-5066 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/46197 | - |
dc.description.abstract | With the development of BCI devices, it is now possible to use EEG control technology to move the robot's arms or legs to help with daily life. In this paper, we propose a customized vehicle control model based on BCI. This is a model that collects BCI-based driver EEG signals, determines information according to EEG signal analysis, and then controls the direction of the vehicle based on the determinated information through EEG signal analysis. In this case, in the process of analyzing noisy EEG signals, controlling direction is supplemented by using a camera-based eye tracking method to increase the accuracy of recognized direction . By synthesizing the EEG signal that recognized the direction to be controlled and the result of eye tracking, the vehicle was controlled in five directions: left turn, right turn, forward, backward, and stop. In experimental result, the accuracy of direction recognition of our proposed model is about 75% or higher. |
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dc.language | Korean | - |
dc.publisher | 대한임베디드공학회 | - |
dc.title | 뇌파를 이용한 맞춤형 주행 제어 모델 설계 | - |
dc.title.alternative | EEG-based Customized Driving Control Model Design | - |
dc.type | Article | - |
dc.identifier.doi | 10.14372/IEMEK.2023.18.2.81 | - |
dc.identifier.bibliographicCitation | 대한임베디드공학회논문지, v.18, no.2, pp.81 - 87 | - |
dc.identifier.kciid | ART002952660 | - |
dc.description.isOpenAccess | FALSE | - |
dc.subject.keywordAuthor | BCI (Brain Computer Interface) | - |
dc.subject.keywordAuthor | deep learning | - |
dc.subject.keywordAuthor | eye tracking | - |
dc.citation.endPage | 87 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 81 | - |
dc.citation.title | 대한임베디드공학회논문지 | - |
dc.citation.volume | 18 | - |
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