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dc.contributor.author김정룡-
dc.date.accessioned2020-03-09T05:35:49Z-
dc.date.available2020-03-09T05:35:49Z-
dc.date.issued2004-03-
dc.identifier.citation대한산업공학회지,v . 30, No. 1, Page. 44-49en_US
dc.identifier.issn1225-0988-
dc.identifier.issn2234-6457-
dc.identifier.urihttp://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01965641&language=ko_KR-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/134670-
dc.description.abstractThe aim of this study is to compare the methods in analyzing bio-signals representing measure driver’s psychophysiological staus. This study has considered three approaches: first, the deterministic approach calculating the mean and standard deviation of bio-signal, second, probabilistic approach converting driver’s bio-signal values to probability density function and identifying individual state relative to overall distribution, and third, diagnostic approach identifying the pattern change of signal over certain period of time. For evaluation of analysis methods, driver’s bio-signal was collected under various road conditions, and three analysis approaches were applied respectively. In result, the deterministic approach was found to be simple to use, but generated a large variability of bio-signal. The probabilistic approach provide a relative status of individual driver among overall population, but too much affected by temporal variability of individual driver. The diagnostic approach seemed to reasonably find driver’s psychophysiological change over certain period of time, but still needs to develop quantification method of the bio-signal.en_US
dc.language.isoko_KRen_US
dc.publisher대한산업공학회en_US
dc.subjectdriver’s psychophysiological stateen_US
dc.subjectdiagnostic approachen_US
dc.title운전자 주행 적합성 진단을 위한 연구 I - 생체신호 분석방법 비교en_US
dc.title.alternativeThe Study to Diagnose the Road-Driver Compatibility I : Comparison of Methods for Bio-Signal Analysisen_US
dc.typeArticleen_US
dc.relation.journal대한산업공학회지-
dc.relation.code2012100333-
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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COLLEGE OF COMPUTING[E](소프트웨어융합대학) > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
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