DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Jo, Sungho | - |
dc.contributor.advisor | 조성호 | - |
dc.contributor.author | Choi, Jin Woo | - |
dc.date.accessioned | 2019-09-04T02:47:49Z | - |
dc.date.available | 2019-09-04T02:47:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843576&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/267097 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2019.2,[iii, 23 p. :] | - |
dc.description.abstract | Brain-computer interfaces (BCIs) rely on accurate classification of a user’s intent in order to perform correct actions. However, when used in reality, devices controlled by BCIs may often react differently from what the user intended due to noise and other factors resulting in misclassification. In such cases where an erroneous response of the device are observed by the user, error-related potentials (ErrPs) may be evoked and can be captured from the user’s neural signals. Researches on ErrPs have been conducted in recent years to recognize and correct erroneous responses elicited from the devices. In this research, we have created a graphical application in which the user drives a virtual car from a first-person perspective. Results of our experiments show that ErrPs can be captured from the user when the car moves differently from how the user intended to drive. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Brain-computer interfaces▼aerror-related potentials▼aelectroencephalogram▼ahuman-vehicle interaction | - |
dc.subject | 뇌-컴퓨터 인터페이스▼aError-related potentials▼a뇌파도▼a인간-차량 상호작용 | - |
dc.title | Detection of error-related potentials during human-vehicle interaction | - |
dc.title.alternative | 차량의 오작동으로 인한 뇌파 변화 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 최진우 | - |
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