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dc.contributor.author김정룡-
dc.date.accessioned2021-02-16T00:30:46Z-
dc.date.available2021-02-16T00:30:46Z-
dc.date.issued2001-06-
dc.identifier.citation산업경영시스템학회지, v. 24, no. 65, page. 65-73en_US
dc.identifier.issn2287-7975-
dc.identifier.issn2005-0461-
dc.identifier.urihttp://db.koreascholar.com/Article?code=22038-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/158238-
dc.description.abstractIn this study, psychophysiological stress was quantitatively evaluated at various car interior noise levels by using Electroencephalogram(EEG). An experiment was performed to investigate the most comfortable range of noise level during simulated driving condition. Twelve healthy volunteers participated in the experiment. They were asked to operate the driving simulator while six levels of interior noise were given, such as 50dB(A), 55dB(A), 60dB(A), 65dB(A), 70dB(A), and 85dB(A). EEG signals were recorded for 60 seconds in each noise level. The power spectral analysis was performed to analyze EEG signal. At the same time, psychological stress was also measured subjectively by using a magnitude estimation method. The results showed that subjective stress and EEG spectrum indicated a statistically significant difference between noise levels. In particular, high level noise produced an increase in beta power at temporal(T3, T4) areas. It was also found that beta activity was highly correlated with subjective perception of discomfort, and subjects responded to car interior noise as arousing or negative stimuli. Moreover, beta power remained stable above 70dB(A), whereas subjective discomfort continued to increase even above 70dB(A). We concluded that brain waves could provide psychophysiological information of drivers emotional reaction to car interior noise. Thus, EEG parameters could be a new measure to determine optimal noise level in ergonomic workplace design after further verification in various experimental conditions.en_US
dc.language.isoko_KRen_US
dc.publisher한국산업경영시스템학회en_US
dc.title뇌파를 이용한 적정 자동차 내부소음의 평가en_US
dc.title.alternativeEvaluation of Car Interior Noise by Using EEGen_US
dc.typeArticleen_US
dc.relation.journal한국산업경영시스템학회지-
dc.contributor.googleauthor김정룡-
dc.contributor.googleauthor박창순-
dc.relation.code2012101506-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY-
dc.identifier.pidjungkim-
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